WorldWideScience

Sample records for energy efficient algorithm

  1. Efficient Implementation Algorithms for Homogenized Energy Models

    National Research Council Canada - National Science Library

    Braun, Thomas R; Smith, Ralph C

    2005-01-01

    ... for real-time control implementation. In this paper, we develop algorithms employing lookup tables which permit the high speed implementation of formulations which incorporate relaxation mechanisms and electromechanical coupling...

  2. Cache and energy efficient algorithms for Nussinov's RNA Folding.

    Science.gov (United States)

    Zhao, Chunchun; Sahni, Sartaj

    2017-12-06

    An RNA folding/RNA secondary structure prediction algorithm determines the non-nested/pseudoknot-free structure by maximizing the number of complementary base pairs and minimizing the energy. Several implementations of Nussinov's classical RNA folding algorithm have been proposed. Our focus is to obtain run time and energy efficiency by reducing the number of cache misses. Three cache-efficient algorithms, ByRow, ByRowSegment and ByBox, for Nussinov's RNA folding are developed. Using a simple LRU cache model, we show that the Classical algorithm of Nussinov has the highest number of cache misses followed by the algorithms Transpose (Li et al.), ByRow, ByRowSegment, and ByBox (in this order). Extensive experiments conducted on four computational platforms-Xeon E5, AMD Athlon 64 X2, Intel I7 and PowerPC A2-using two programming languages-C and Java-show that our cache efficient algorithms are also efficient in terms of run time and energy. Our benchmarking shows that, depending on the computational platform and programming language, either ByRow or ByBox give best run time and energy performance. The C version of these algorithms reduce run time by as much as 97.2% and energy consumption by as much as 88.8% relative to Classical and by as much as 56.3% and 57.8% relative to Transpose. The Java versions reduce run time by as much as 98.3% relative to Classical and by as much as 75.2% relative to Transpose. Transpose achieves run time and energy efficiency at the expense of memory as it takes twice the memory required by Classical. The memory required by ByRow, ByRowSegment, and ByBox is the same as that of Classical. As a result, using the same amount of memory, the algorithms proposed by us can solve problems up to 40% larger than those solvable by Transpose.

  3. Algorithms for energy efficiency in wireless sensor networks

    Energy Technology Data Exchange (ETDEWEB)

    Busse, M

    2007-01-21

    The recent advances in microsensor and semiconductor technology have opened a new field within computer science: the networking of small-sized sensors which are capable of sensing, processing, and communicating. Such wireless sensor networks offer new applications in the areas of habitat and environment monitoring, disaster control and operation, military and intelligence control, object tracking, video surveillance, traffic control, as well as in health care and home automation. It is likely that the deployed sensors will be battery-powered, which will limit the energy capacity significantly. Thus, energy efficiency becomes one of the main challenges that need to be taken into account, and the design of energy-efficient algorithms is a major contribution of this thesis. As the wireless communication in the network is one of the main energy consumers, we first consider in detail the characteristics of wireless communication. By using the embedded sensor board (ESB) platform recently developed by the Free University of Berlin, we analyze the means of forward error correction and propose an appropriate resync mechanism, which improves the communication between two ESB nodes substantially. Afterwards, we focus on the forwarding of data packets through the network. We present the algorithms energy-efficient forwarding (EEF), lifetime-efficient forwarding (LEF), and energy-efficient aggregation forwarding (EEAF). While EEF is designed to maximize the number of data bytes delivered per energy unit, LEF additionally takes into account the residual energy of forwarding nodes. In so doing, LEF further prolongs the lifetime of the network. Energy savings due to data aggregation and in-network processing are exploited by EEAF. Besides single-link forwarding, in which data packets are sent to only one forwarding node, we also study the impact of multi-link forwarding, which exploits the broadcast characteristics of the wireless medium by sending packets to several (potential

  4. Algorithms for energy efficiency in wireless sensor networks

    Energy Technology Data Exchange (ETDEWEB)

    Busse, M.

    2007-01-21

    The recent advances in microsensor and semiconductor technology have opened a new field within computer science: the networking of small-sized sensors which are capable of sensing, processing, and communicating. Such wireless sensor networks offer new applications in the areas of habitat and environment monitoring, disaster control and operation, military and intelligence control, object tracking, video surveillance, traffic control, as well as in health care and home automation. It is likely that the deployed sensors will be battery-powered, which will limit the energy capacity significantly. Thus, energy efficiency becomes one of the main challenges that need to be taken into account, and the design of energy-efficient algorithms is a major contribution of this thesis. As the wireless communication in the network is one of the main energy consumers, we first consider in detail the characteristics of wireless communication. By using the embedded sensor board (ESB) platform recently developed by the Free University of Berlin, we analyze the means of forward error correction and propose an appropriate resync mechanism, which improves the communication between two ESB nodes substantially. Afterwards, we focus on the forwarding of data packets through the network. We present the algorithms energy-efficient forwarding (EEF), lifetime-efficient forwarding (LEF), and energy-efficient aggregation forwarding (EEAF). While EEF is designed to maximize the number of data bytes delivered per energy unit, LEF additionally takes into account the residual energy of forwarding nodes. In so doing, LEF further prolongs the lifetime of the network. Energy savings due to data aggregation and in-network processing are exploited by EEAF. Besides single-link forwarding, in which data packets are sent to only one forwarding node, we also study the impact of multi-link forwarding, which exploits the broadcast characteristics of the wireless medium by sending packets to several (potential

  5. Evolving Resilient Back-Propagation Algorithm for Energy Efficiency Problem

    Directory of Open Access Journals (Sweden)

    Yang Fei

    2016-01-01

    Full Text Available Energy efficiency is one of our most economical sources of new energy. When it comes to efficient building design, the computation of the heating load (HL and cooling load (CL is required to determine the specifications of the heating and cooling equipment. The objective of this paper is to model heating load and cooling load buildings using neural networks in order to predict HL load and CL load. Rprop with genetic algorithm was proposed to increase the global convergence capability of Rprop by modifying a corresponding weight. Comparison results show that Rprop with GA can successfully improve the global convergence capability of Rprop and achieve lower MSE than other perceptron training algorithms, such as Back-Propagation or original Rprop. In addition, the trained network has better generalization ability and stabilization performance.

  6. Energy Efficient Routing Algorithms in Dynamic Optical Core Networks with Dual Energy Sources

    DEFF Research Database (Denmark)

    Wang, Jiayuan; Fagertun, Anna Manolova; Ruepp, Sarah Renée

    2013-01-01

    This paper proposes new energy efficient routing algorithms in optical core networks, with the application of solar energy sources and bundled links. A comprehensive solar energy model is described in the proposed network scenarios. Network performance in energy savings, connection blocking...... probability, resource utilization and bundled link usage are evaluated with dynamic network simulations. Results show that algorithms proposed aiming for reducing the dynamic part of the energy consumption of the network may raise the fixed part of the energy consumption meanwhile....

  7. Energy efficient data sorting using standard sorting algorithms

    KAUST Repository

    Bunse, Christian; Hö pfner, Hagen; Roychoudhury, Suman; Mansour, Essam

    2011-01-01

    Protecting the environment by saving energy and thus reducing carbon dioxide emissions is one of todays hottest and most challenging topics. Although the perspective for reducing energy consumption, from ecological and business perspectives is clear, from a technological point of view, the realization especially for mobile systems still falls behind expectations. Novel strategies that allow (software) systems to dynamically adapt themselves at runtime can be effectively used to reduce energy consumption. This paper presents a case study that examines the impact of using an energy management component that dynamically selects and applies the "optimal" sorting algorithm, from an energy perspective, during multi-party mobile communication. Interestingly, the results indicate that algorithmic performance is not key and that dynamically switching algorithms at runtime does have a significant impact on energy consumption. © Springer-Verlag Berlin Heidelberg 2011.

  8. Evaluating the energy efficiency of a one pedal driving algorithm

    NARCIS (Netherlands)

    Wang, J.; Besselink, I.J.M.; van Boekel, J.J.P.; Nijmeijer, H.

    2015-01-01

    Regenerative braking of electric vehicles (EVs) is important to improve the energy efficiency and increase the vehicle range. However, the additional friction braking during deceleration may limit the amount of recuperated energy. To improve the energy efficiency and driving comfort of EVs, a one

  9. Performance indices and evaluation of algorithms in building energy efficient design optimization

    International Nuclear Information System (INIS)

    Si, Binghui; Tian, Zhichao; Jin, Xing; Zhou, Xin; Tang, Peng; Shi, Xing

    2016-01-01

    Building energy efficient design optimization is an emerging technique that is increasingly being used to design buildings with better overall performance and a particular emphasis on energy efficiency. To achieve building energy efficient design optimization, algorithms are vital to generate new designs and thus drive the design optimization process. Therefore, the performance of algorithms is crucial to achieving effective energy efficient design techniques. This study evaluates algorithms used for building energy efficient design optimization. A set of performance indices, namely, stability, robustness, validity, speed, coverage, and locality, is proposed to evaluate the overall performance of algorithms. A benchmark building and a design optimization problem are also developed. Hooke–Jeeves algorithm, Multi-Objective Genetic Algorithm II, and Multi-Objective Particle Swarm Optimization algorithm are evaluated by using the proposed performance indices and benchmark design problem. Results indicate that no algorithm performs best in all six areas. Therefore, when facing an energy efficient design problem, the algorithm must be carefully selected based on the nature of the problem and the performance indices that matter the most. - Highlights: • Six indices of algorithm performance in building energy optimization are developed. • For each index, its concept is defined and the calculation formulas are proposed. • A benchmark building and benchmark energy efficient design problem are proposed. • The performance of three selected algorithms are evaluated.

  10. Energy-Efficient Train Operation Using Nature-Inspired Algorithms

    Directory of Open Access Journals (Sweden)

    Kemal Keskin

    2017-01-01

    Full Text Available A train operation optimization by minimizing its traction energy subject to various constraints is carried out using nature-inspired evolutionary algorithms. The optimization process results in switching points that initiate cruising and coasting phases of the driving. Due to nonlinear optimization formulation of the problem, nature-inspired evolutionary search methods, Genetic Simulated Annealing, Firefly, and Big Bang-Big Crunch algorithms were employed in this study. As a case study a real-like train and test track from a part of Eskisehir light rail network were modeled. Speed limitations, various track alignments, maximum allowable trip time, and changes in train mass were considered, and punctuality was put into objective function as a penalty factor. Results have shown that all three evolutionary methods generated effective and consistent solutions. However, it has also been shown that each one has different accuracy and convergence characteristics.

  11. Efficiency of free-energy calculations of spin lattices by spectral quantum algorithms

    International Nuclear Information System (INIS)

    Master, Cyrus P.; Yamaguchi, Fumiko; Yamamoto, Yoshihisa

    2003-01-01

    Ensemble quantum algorithms are well suited to calculate estimates of the energy spectra for spin-lattice systems. Based on the phase estimation algorithm, these algorithms efficiently estimate discrete Fourier coefficients of the density of states. Their efficiency in calculating the free energy per spin of general spin lattices to bounded error is examined. We find that the number of Fourier components required to bound the error in the free energy due to the broadening of the density of states scales polynomially with the number of spins in the lattice. However, the precision with which the Fourier components must be calculated is found to be an exponential function of the system size

  12. Energy Efficient Distributed Fault Identification Algorithm in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Meenakshi Panda

    2014-01-01

    Full Text Available A distributed fault identification algorithm is proposed here to find both hard and soft faulty sensor nodes present in wireless sensor networks. The algorithm is distributed, self-detectable, and can detect the most common byzantine faults such as stuck at zero, stuck at one, and random data. In the proposed approach, each sensor node gathered the observed data from the neighbors and computed the mean to check whether faulty sensor node is present or not. If a node found the presence of faulty sensor node, then compares observed data with the data of the neighbors and predict probable fault status. The final fault status is determined by diffusing the fault information from the neighbors. The accuracy and completeness of the algorithm are verified with the help of statistical model of the sensors data. The performance is evaluated in terms of detection accuracy, false alarm rate, detection latency and message complexity.

  13. Energy efficient topology control algorithm for wireless mesh networks

    CSIR Research Space (South Africa)

    Aron, FO

    2008-08-01

    Full Text Available The control of the topology of a network makes it possible for the network nodes to reduce their power of transmission while ensuring that network connectivity is preserved. This paper explains the need for energy consumption control in Wireless...

  14. Energy-efficient algorithm for classification of states of wireless sensor network using machine learning methods

    Science.gov (United States)

    Yuldashev, M. N.; Vlasov, A. I.; Novikov, A. N.

    2018-05-01

    This paper focuses on the development of an energy-efficient algorithm for classification of states of a wireless sensor network using machine learning methods. The proposed algorithm reduces energy consumption by: 1) elimination of monitoring of parameters that do not affect the state of the sensor network, 2) reduction of communication sessions over the network (the data are transmitted only if their values can affect the state of the sensor network). The studies of the proposed algorithm have shown that at classification accuracy close to 100%, the number of communication sessions can be reduced by 80%.

  15. Simulation Modeling of Intelligent Control Algorithms for Constructing Autonomous Power Supply Systems with Improved Energy Efficiency

    Directory of Open Access Journals (Sweden)

    Gimazov Ruslan

    2018-01-01

    Full Text Available The paper considers the issue of supplying autonomous robots by solar batteries. Low efficiency of modern solar batteries is a critical issue for the whole industry of renewable energy. The urgency of solving the problem of improved energy efficiency of solar batteries for supplying the robotic system is linked with the task of maximizing autonomous operation time. Several methods to improve the energy efficiency of solar batteries exist. The use of MPPT charge controller is one these methods. MPPT technology allows increasing the power generated by the solar battery by 15 – 30%. The most common MPPT algorithm is the perturbation and observation algorithm. This algorithm has several disadvantages, such as power fluctuation and the fixed time of the maximum power point tracking. These problems can be solved by using a sufficiently accurate predictive and adaptive algorithm. In order to improve the efficiency of solar batteries, autonomous power supply system was developed, which included an intelligent MPPT charge controller with the fuzzy logic-based perturbation and observation algorithm. To study the implementation of the fuzzy logic apparatus in the MPPT algorithm, in Matlab/Simulink environment, we developed a simulation model of the system, including solar battery, MPPT controller, accumulator and load. Results of the simulation modeling established that the use of MPPT technology had increased energy production by 23%; introduction of the fuzzy logic algorithm to MPPT controller had greatly increased the speed of the maximum power point tracking and neutralized the voltage fluctuations, which in turn reduced the power underproduction by 2%.

  16. An Algorithm for Timely Transmission of Solicitation Messages in RPL for Energy-Efficient Node Mobility.

    Science.gov (United States)

    Park, Jihong; Kim, Ki-Hyung; Kim, Kangseok

    2017-04-19

    The IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) was proposed for various applications of IPv6 low power wireless networks. While RPL supports various routing metrics and is designed to be suitable for wireless sensor network environments, it does not consider the mobility of nodes. Therefore, there is a need for a method that is energy efficient and that provides stable and reliable data transmission by considering the mobility of nodes in RPL networks. This paper proposes an algorithm to support node mobility in RPL in an energy-efficient manner and describes its operating principle based on different scenarios. The proposed algorithm supports the mobility of nodes by dynamically adjusting the transmission interval of the messages that request the route based on the speed and direction of the motion of mobile nodes, as well as the costs between neighboring nodes. The performance of the proposed algorithm and previous algorithms for supporting node mobility were examined experimentally. From the experiment, it was observed that the proposed algorithm requires fewer messages per unit time for selecting a new parent node following the movement of a mobile node. Since fewer messages are used to select a parent node, the energy consumption is also less than that of previous algorithms.

  17. Fuzzy-Logic Based Distributed Energy-Efficient Clustering Algorithm for Wireless Sensor Networks.

    Science.gov (United States)

    Zhang, Ying; Wang, Jun; Han, Dezhi; Wu, Huafeng; Zhou, Rundong

    2017-07-03

    Due to the high-energy efficiency and scalability, the clustering routing algorithm has been widely used in wireless sensor networks (WSNs). In order to gather information more efficiently, each sensor node transmits data to its Cluster Head (CH) to which it belongs, by multi-hop communication. However, the multi-hop communication in the cluster brings the problem of excessive energy consumption of the relay nodes which are closer to the CH. These nodes' energy will be consumed more quickly than the farther nodes, which brings the negative influence on load balance for the whole networks. Therefore, we propose an energy-efficient distributed clustering algorithm based on fuzzy approach with non-uniform distribution (EEDCF). During CHs' election, we take nodes' energies, nodes' degree and neighbor nodes' residual energies into consideration as the input parameters. In addition, we take advantage of Takagi, Sugeno and Kang (TSK) fuzzy model instead of traditional method as our inference system to guarantee the quantitative analysis more reasonable. In our scheme, each sensor node calculates the probability of being as CH with the help of fuzzy inference system in a distributed way. The experimental results indicate EEDCF algorithm is better than some current representative methods in aspects of data transmission, energy consumption and lifetime of networks.

  18. Energy-efficient algorithm for broadcasting in ad hoc wireless sensor networks.

    Science.gov (United States)

    Xiong, Naixue; Huang, Xingbo; Cheng, Hongju; Wan, Zheng

    2013-04-12

    Broadcasting is a common and basic operation used to support various network protocols in wireless networks. To achieve energy-efficient broadcasting is especially important for ad hoc wireless sensor networks because sensors are generally powered by batteries with limited lifetimes. Energy consumption for broadcast operations can be reduced by minimizing the number of relay nodes based on the observation that data transmission processes consume more energy than data reception processes in the sensor nodes, and how to improve the network lifetime is always an interesting issue in sensor network research. The minimum-energy broadcast problem is then equivalent to the problem of finding the minimum Connected Dominating Set (CDS) for a connected graph that is proved NP-complete. In this paper, we introduce an Efficient Minimum CDS algorithm (EMCDS) with help of a proposed ordered sequence list. EMCDS does not concern itself with node energy and broadcast operations might fail if relay nodes are out of energy. Next we have proposed a Minimum Energy-consumption Broadcast Scheme (MEBS) with a modified version of EMCDS, and aimed at providing an efficient scheduling scheme with maximized network lifetime. The simulation results show that the proposed EMCDS algorithm can find smaller CDS compared with related works, and the MEBS can help to increase the network lifetime by efficiently balancing energy among nodes in the networks.

  19. A Biologically-Inspired Power Control Algorithm for Energy-Efficient Cellular Networks

    Directory of Open Access Journals (Sweden)

    Hyun-Ho Choi

    2016-03-01

    Full Text Available Most of the energy used to operate a cellular network is consumed by a base station (BS, and reducing the transmission power of a BS can therefore afford a substantial reduction in the amount of energy used in a network. In this paper, we propose a distributed transmit power control (TPC algorithm inspired by bird flocking behavior as a means of improving the energy efficiency of a cellular network. Just as each bird in a flock attempts to match its velocity with the average velocity of adjacent birds, in the proposed algorithm, each mobile station (MS in a cell matches its rate with the average rate of the co-channel MSs in adjacent cells by controlling the transmit power of its serving BS. We verify that this bio-inspired TPC algorithm using a local rate-average process achieves an exponential convergence and maximizes the minimum rate of the MSs concerned. Simulation results show that the proposed TPC algorithm follows the same convergence properties as the flocking algorithm and also effectively reduces the power consumption at the BSs while maintaining a low outage probability as the inter-cell interference increases; in so doing, it significantly improves the energy efficiency of a cellular network.

  20. A Distributed and Energy-Efficient Algorithm for Event K-Coverage in Underwater Sensor Networks

    Directory of Open Access Journals (Sweden)

    Peng Jiang

    2017-01-01

    Full Text Available For event dynamic K-coverage algorithms, each management node selects its assistant node by using a greedy algorithm without considering the residual energy and situations in which a node is selected by several events. This approach affects network energy consumption and balance. Therefore, this study proposes a distributed and energy-efficient event K-coverage algorithm (DEEKA. After the network achieves 1-coverage, the nodes that detect the same event compete for the event management node with the number of candidate nodes and the average residual energy, as well as the distance to the event. Second, each management node estimates the probability of its neighbor nodes’ being selected by the event it manages with the distance level, the residual energy level, and the number of dynamic coverage event of these nodes. Third, each management node establishes an optimization model that uses expectation energy consumption and the residual energy variance of its neighbor nodes and detects the performance of the events it manages as targets. Finally, each management node uses a constrained non-dominated sorting genetic algorithm (NSGA-II to obtain the Pareto set of the model and the best strategy via technique for order preference by similarity to an ideal solution (TOPSIS. The algorithm first considers the effect of harsh underwater environments on information collection and transmission. It also considers the residual energy of a node and a situation in which the node is selected by several other events. Simulation results show that, unlike the on-demand variable sensing K-coverage algorithm, DEEKA balances and reduces network energy consumption, thereby prolonging the network’s best service quality and lifetime.

  1. Energy Efficiency Performance Improvements for Ant-Based Routing Algorithm in Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Adamu Murtala Zungeru

    2013-01-01

    Full Text Available The main problem for event gathering in wireless sensor networks (WSNs is the restricted communication range for each node. Due to the restricted communication range and high network density, event forwarding in WSNs is very challenging and requires multihop data forwarding. Currently, the energy-efficient ant based routing (EEABR algorithm, based on the ant colony optimization (ACO metaheuristic, is one of the state-of-the-art energy-aware routing protocols. In this paper, we propose three improvements to the EEABR algorithm to further improve its energy efficiency. The improvements to the original EEABR are based on the following: (1 a new scheme to intelligently initialize the routing tables giving priority to neighboring nodes that simultaneously could be the destination, (2 intelligent update of routing tables in case of a node or link failure, and (3 reducing the flooding ability of ants for congestion control. The energy efficiency improvements are significant particularly for dynamic routing environments. Experimental results using the RMASE simulation environment show that the proposed method increases the energy efficiency by up to 9% and 64% in converge-cast and target-tracking scenarios, respectively, over the original EEABR without incurring a significant increase in complexity. The method is also compared and found to also outperform other swarm-based routing protocols such as sensor-driven and cost-aware ant routing (SC and Beesensor.

  2. An efficient parallel algorithm for the calculation of canonical MP2 energies.

    Science.gov (United States)

    Baker, Jon; Pulay, Peter

    2002-09-01

    We present the parallel version of a previous serial algorithm for the efficient calculation of canonical MP2 energies (Pulay, P.; Saebo, S.; Wolinski, K. Chem Phys Lett 2001, 344, 543). It is based on the Saebo-Almlöf direct-integral transformation, coupled with an efficient prescreening of the AO integrals. The parallel algorithm avoids synchronization delays by spawning a second set of slaves during the bin-sort prior to the second half-transformation. Results are presented for systems with up to 2000 basis functions. MP2 energies for molecules with 400-500 basis functions can be routinely calculated to microhartree accuracy on a small number of processors (6-8) in a matter of minutes with modern PC-based parallel computers. Copyright 2002 Wiley Periodicals, Inc. J Comput Chem 23: 1150-1156, 2002

  3. Profiling high performance dense linear algebra algorithms on multicore architectures for power and energy efficiency

    KAUST Repository

    Ltaief, Hatem

    2011-08-31

    This paper presents the power profile of two high performance dense linear algebra libraries i.e., LAPACK and PLASMA. The former is based on block algorithms that use the fork-join paradigm to achieve parallel performance. The latter uses fine-grained task parallelism that recasts the computation to operate on submatrices called tiles. In this way tile algorithms are formed. We show results from the power profiling of the most common routines, which permits us to clearly identify the different phases of the computations. This allows us to isolate the bottlenecks in terms of energy efficiency. Our results show that PLASMA surpasses LAPACK not only in terms of performance but also in terms of energy efficiency. © 2011 Springer-Verlag.

  4. Distributed Energy-Efficient Topology Control Algorithm in Home M2M Networks

    OpenAIRE

    Lee, Chao-Yang; Yang, Chu-Sing

    2012-01-01

    Because machine-to-machine (M2M) technology enables machines to communicate with each other without human intervention, it could play a big role in sensor network systems. Through wireless sensor network (WSN) gateways, various information can be collected by sensors for M2M systems. For home M2M networks, this study proposes a distributed energy-efficient topology control algorithm for both topology construction and topology maintenance. Topology control is an effective method of enhancing e...

  5. Mobility based energy efficient and multi-sink algorithms for consumer home networks

    OpenAIRE

    Wang, Jin; Yin, Yue; Zhang, Jianwei; Lee, Sungyoung; Sherratt, R. Simon

    2013-01-01

    With the fast development of the Internet, wireless communications and semiconductor devices, home networking has received significant attention. Consumer products can collect and transmit various types of data in the home environment. Typical consumer sensors are often equipped with tiny, irreplaceable batteries and it therefore of the utmost importance to design energy efficient algorithms to prolong the home network lifetime and reduce devices going to landfill. Sink mobility is an importa...

  6. An efficient parallel algorithm for the calculation of unrestricted canonical MP2 energies.

    Science.gov (United States)

    Baker, Jon; Wolinski, Krzysztof

    2011-11-30

    We present details of our efficient implementation of full accuracy unrestricted open-shell second-order canonical Møller-Plesset (MP2) energies, both serial and parallel. The algorithm is based on our previous restricted closed-shell MP2 code using the Saebo-Almlöf direct integral transformation. Depending on system details, UMP2 energies take from less than 1.5 to about 3.0 times as long as a closed-shell RMP2 energy on a similar system using the same algorithm. Several examples are given including timings for some large stable radicals with 90+ atoms and over 3600 basis functions. Copyright © 2011 Wiley Periodicals, Inc.

  7. Hybrid Swarm Intelligence Energy Efficient Clustered Routing Algorithm for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Rajeev Kumar

    2016-01-01

    Full Text Available Currently, wireless sensor networks (WSNs are used in many applications, namely, environment monitoring, disaster management, industrial automation, and medical electronics. Sensor nodes carry many limitations like low battery life, small memory space, and limited computing capability. To create a wireless sensor network more energy efficient, swarm intelligence technique has been applied to resolve many optimization issues in WSNs. In many existing clustering techniques an artificial bee colony (ABC algorithm is utilized to collect information from the field periodically. Nevertheless, in the event based applications, an ant colony optimization (ACO is a good solution to enhance the network lifespan. In this paper, we combine both algorithms (i.e., ABC and ACO and propose a new hybrid ABCACO algorithm to solve a Nondeterministic Polynomial (NP hard and finite problem of WSNs. ABCACO algorithm is divided into three main parts: (i selection of optimal number of subregions and further subregion parts, (ii cluster head selection using ABC algorithm, and (iii efficient data transmission using ACO algorithm. We use a hierarchical clustering technique for data transmission; the data is transmitted from member nodes to the subcluster heads and then from subcluster heads to the elected cluster heads based on some threshold value. Cluster heads use an ACO algorithm to discover the best route for data transmission to the base station (BS. The proposed approach is very useful in designing the framework for forest fire detection and monitoring. The simulation results show that the ABCACO algorithm enhances the stability period by 60% and also improves the goodput by 31% against LEACH and WSNCABC, respectively.

  8. An energy efficient distance-aware routing algorithm with multiple mobile sinks for wireless sensor networks.

    Science.gov (United States)

    Wang, Jin; Li, Bin; Xia, Feng; Kim, Chang-Seob; Kim, Jeong-Uk

    2014-08-18

    Traffic patterns in wireless sensor networks (WSNs) usually follow a many-to-one model. Sensor nodes close to static sinks will deplete their limited energy more rapidly than other sensors, since they will have more data to forward during multihop transmission. This will cause network partition, isolated nodes and much shortened network lifetime. Thus, how to balance energy consumption for sensor nodes is an important research issue. In recent years, exploiting sink mobility technology in WSNs has attracted much research attention because it can not only improve energy efficiency, but prolong network lifetime. In this paper, we propose an energy efficient distance-aware routing algorithm with multiple mobile sink for WSNs, where sink nodes will move with a certain speed along the network boundary to collect monitored data. We study the influence of multiple mobile sink nodes on energy consumption and network lifetime, and we mainly focus on the selection of mobile sink node number and the selection of parking positions, as well as their impact on performance metrics above. We can see that both mobile sink node number and the selection of parking position have important influence on network performance. Simulation results show that our proposed routing algorithm has better performance than traditional routing ones in terms of energy consumption.

  9. An Energy Efficient Distance-Aware Routing Algorithm with Multiple Mobile Sinks for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Jin Wang

    2014-08-01

    Full Text Available Traffic patterns in wireless sensor networks (WSNs usually follow a many-to-one model. Sensor nodes close to static sinks will deplete their limited energy more rapidly than other sensors, since they will have more data to forward during multihop transmission. This will cause network partition, isolated nodes and much shortened network lifetime. Thus, how to balance energy consumption for sensor nodes is an important research issue. In recent years, exploiting sink mobility technology in WSNs has attracted much research attention because it can not only improve energy efficiency, but prolong network lifetime. In this paper, we propose an energy efficient distance-aware routing algorithm with multiple mobile sink for WSNs, where sink nodes will move with a certain speed along the network boundary to collect monitored data. We study the influence of multiple mobile sink nodes on energy consumption and network lifetime, and we mainly focus on the selection of mobile sink node number and the selection of parking positions, as well as their impact on performance metrics above. We can see that both mobile sink node number and the selection of parking position have important influence on network performance. Simulation results show that our proposed routing algorithm has better performance than traditional routing ones in terms of energy consumption.

  10. Evaluation of stochastic algorithms for financial mathematics problems from point of view of energy-efficiency

    Science.gov (United States)

    Atanassov, E.; Dimitrov, D.; Gurov, T.

    2015-10-01

    The recent developments in the area of high-performance computing are driven not only by the desire for ever higher performance but also by the rising costs of electricity. The use of various types of accelerators like GPUs, Intel Xeon Phi has become mainstream and many algorithms and applications have been ported to make use of them where available. In Financial Mathematics the question of optimal use of computational resources should also take into account the limitations on space, because in many use cases the servers are deployed close to the exchanges. In this work we evaluate various algorithms for option pricing that we have implemented for different target architectures in terms of their energy and space efficiency. Since it has been established that low-discrepancy sequences may be better than pseudorandom numbers for these types of algorithms, we also test the Sobol and Halton sequences. We present the raw results, the computed metrics and conclusions from our tests.

  11. Evaluation of stochastic algorithms for financial mathematics problems from point of view of energy-efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Atanassov, E.; Dimitrov, D., E-mail: d.slavov@bas.bg, E-mail: emanouil@parallel.bas.bg, E-mail: gurov@bas.bg; Gurov, T. [Institute of Information and Communication Technologies, BAS, Acad. G. Bonchev str., bl. 25A, 1113 Sofia (Bulgaria)

    2015-10-28

    The recent developments in the area of high-performance computing are driven not only by the desire for ever higher performance but also by the rising costs of electricity. The use of various types of accelerators like GPUs, Intel Xeon Phi has become mainstream and many algorithms and applications have been ported to make use of them where available. In Financial Mathematics the question of optimal use of computational resources should also take into account the limitations on space, because in many use cases the servers are deployed close to the exchanges. In this work we evaluate various algorithms for option pricing that we have implemented for different target architectures in terms of their energy and space efficiency. Since it has been established that low-discrepancy sequences may be better than pseudorandom numbers for these types of algorithms, we also test the Sobol and Halton sequences. We present the raw results, the computed metrics and conclusions from our tests.

  12. New Design Methods And Algorithms For High Energy-Efficient And Low-cost Distillation Processes

    Energy Technology Data Exchange (ETDEWEB)

    Agrawal, Rakesh [Purdue Univ., West Lafayette, IN (United States)

    2013-11-21

    This project sought and successfully answered two big challenges facing the creation of low-energy, cost-effective, zeotropic multi-component distillation processes: first, identification of an efficient search space that includes all the useful distillation configurations and no undesired configurations; second, development of an algorithm to search the space efficiently and generate an array of low-energy options for industrial multi-component mixtures. Such mixtures are found in large-scale chemical and petroleum plants. Commercialization of our results was addressed by building a user interface allowing practical application of our methods for industrial problems by anyone with basic knowledge of distillation for a given problem. We also provided our algorithm to a major U.S. Chemical Company for use by the practitioners. The successful execution of this program has provided methods and algorithms at the disposal of process engineers to readily generate low-energy solutions for a large class of multicomponent distillation problems in a typical chemical and petrochemical plant. In a petrochemical complex, the distillation trains within crude oil processing, hydrotreating units containing alkylation, isomerization, reformer, LPG (liquefied petroleum gas) and NGL (natural gas liquids) processing units can benefit from our results. Effluents from naphtha crackers and ethane-propane crackers typically contain mixtures of methane, ethylene, ethane, propylene, propane, butane and heavier hydrocarbons. We have shown that our systematic search method with a more complete search space, along with the optimization algorithm, has a potential to yield low-energy distillation configurations for all such applications with energy savings up to 50%.

  13. An Energy Efficient Adaptive Sampling Algorithm in a Sensor Network for Automated Water Quality Monitoring.

    Science.gov (United States)

    Shu, Tongxin; Xia, Min; Chen, Jiahong; Silva, Clarence de

    2017-11-05

    Power management is crucial in the monitoring of a remote environment, especially when long-term monitoring is needed. Renewable energy sources such as solar and wind may be harvested to sustain a monitoring system. However, without proper power management, equipment within the monitoring system may become nonfunctional and, as a consequence, the data or events captured during the monitoring process will become inaccurate as well. This paper develops and applies a novel adaptive sampling algorithm for power management in the automated monitoring of the quality of water in an extensive and remote aquatic environment. Based on the data collected on line using sensor nodes, a data-driven adaptive sampling algorithm (DDASA) is developed for improving the power efficiency while ensuring the accuracy of sampled data. The developed algorithm is evaluated using two distinct key parameters, which are dissolved oxygen (DO) and turbidity. It is found that by dynamically changing the sampling frequency, the battery lifetime can be effectively prolonged while maintaining a required level of sampling accuracy. According to the simulation results, compared to a fixed sampling rate, approximately 30.66% of the battery energy can be saved for three months of continuous water quality monitoring. Using the same dataset to compare with a traditional adaptive sampling algorithm (ASA), while achieving around the same Normalized Mean Error (NME), DDASA is superior in saving 5.31% more battery energy.

  14. An Energy Efficient Adaptive Sampling Algorithm in a Sensor Network for Automated Water Quality Monitoring

    Directory of Open Access Journals (Sweden)

    Tongxin Shu

    2017-11-01

    Full Text Available Power management is crucial in the monitoring of a remote environment, especially when long-term monitoring is needed. Renewable energy sources such as solar and wind may be harvested to sustain a monitoring system. However, without proper power management, equipment within the monitoring system may become nonfunctional and, as a consequence, the data or events captured during the monitoring process will become inaccurate as well. This paper develops and applies a novel adaptive sampling algorithm for power management in the automated monitoring of the quality of water in an extensive and remote aquatic environment. Based on the data collected on line using sensor nodes, a data-driven adaptive sampling algorithm (DDASA is developed for improving the power efficiency while ensuring the accuracy of sampled data. The developed algorithm is evaluated using two distinct key parameters, which are dissolved oxygen (DO and turbidity. It is found that by dynamically changing the sampling frequency, the battery lifetime can be effectively prolonged while maintaining a required level of sampling accuracy. According to the simulation results, compared to a fixed sampling rate, approximately 30.66% of the battery energy can be saved for three months of continuous water quality monitoring. Using the same dataset to compare with a traditional adaptive sampling algorithm (ASA, while achieving around the same Normalized Mean Error (NME, DDASA is superior in saving 5.31% more battery energy.

  15. Energy-Efficient Algorithm for Sensor Networks with Non-Uniform Maximum Transmission Range

    Directory of Open Access Journals (Sweden)

    Yimin Yu

    2011-06-01

    Full Text Available In wireless sensor networks (WSNs, the energy hole problem is a key factor affecting the network lifetime. In a circular multi-hop sensor network (modeled as concentric coronas, the optimal transmission ranges of all coronas can effectively improve network lifetime. In this paper, we investigate WSNs with non-uniform maximum transmission ranges, where sensor nodes deployed in different regions may differ in their maximum transmission range. Then, we propose an Energy-efficient algorithm for Non-uniform Maximum Transmission range (ENMT, which can search approximate optimal transmission ranges of all coronas in order to prolong network lifetime. Furthermore, the simulation results indicate that ENMT performs better than other algorithms.

  16. An Energy Efficient Stable Election-Based Routing Algorithm for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Weiwei Yuan

    2013-10-01

    Full Text Available Sensor nodes usually have limited energy supply and they are impractical to recharge. How to balance traffic load in sensors in order to increase network lifetime is a very challenging research issue. Many clustering algorithms have been proposed recently for wireless sensor networks (WSNs. However, sensor networks with one fixed sink node often suffer from a hot spots problem since nodes near sinks have more traffic burden to forward during a multi-hop transmission process. The use of mobile sinks has been shown to be an effective technique to enhance network performance features such as latency, energy efficiency, network lifetime, etc. In this paper, a modified Stable Election Protocol (SEP, which employs a mobile sink, has been proposed for WSNs with non-uniform node distribution. The decision of selecting cluster heads by the sink is based on the minimization of the associated additional energy and residual energy at each node. Besides, the cluster head selects the shortest path to reach the sink between the direct approach and the indirect approach with the use of the nearest cluster head. Simulation results demonstrate that our algorithm has better performance than traditional routing algorithms, such as LEACH and SEP.

  17. An energy efficient multiple mobile sinks based routing algorithm for wireless sensor networks

    Science.gov (United States)

    Zhong, Peijun; Ruan, Feng

    2018-03-01

    With the fast development of wireless sensor networks (WSNs), more and more energy efficient routing algorithms have been proposed. However, one of the research challenges is how to alleviate the hot spot problem since nodes close to static sink (or base station) tend to die earlier than other sensors. The introduction of mobile sink node can effectively alleviate this problem since sink node can move along certain trajectories, causing hot spot nodes more evenly distributed. In this paper, we mainly study the energy efficient routing method with multiple mobile sinks support. We divide the whole network into several clusters and study the influence of mobile sink number on network lifetime. Simulation results show that the best network performance appears when mobile sink number is about 3 under our simulation environment.

  18. CPAC: Energy-Efficient Data Collection through Adaptive Selection of Compression Algorithms for Sensor Networks

    Science.gov (United States)

    Lee, HyungJune; Kim, HyunSeok; Chang, Ik Joon

    2014-01-01

    We propose a technique to optimize the energy efficiency of data collection in sensor networks by exploiting a selective data compression. To achieve such an aim, we need to make optimal decisions regarding two aspects: (1) which sensor nodes should execute compression; and (2) which compression algorithm should be used by the selected sensor nodes. We formulate this problem into binary integer programs, which provide an energy-optimal solution under the given latency constraint. Our simulation results show that the optimization algorithm significantly reduces the overall network-wide energy consumption for data collection. In the environment having a stationary sink from stationary sensor nodes, the optimized data collection shows 47% energy savings compared to the state-of-the-art collection protocol (CTP). More importantly, we demonstrate that our optimized data collection provides the best performance in an intermittent network under high interference. In such networks, we found that the selective compression for frequent packet retransmissions saves up to 55% energy compared to the best known protocol. PMID:24721763

  19. A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes.

    Science.gov (United States)

    Vaquerizo-Hdez, Daniel; Muñoz, Pablo; R-Moreno, María D; F Barrero, David

    2017-09-22

    Wireless Sensor Networks (WSNs) are becoming increasingly popular since they can gather information from different locations without wires. This advantage is exploited in applications such as robotic systems, telecare, domotic or smart cities, among others. To gain independence from the electricity grid, WSNs devices are equipped with batteries, therefore their operational time is determined by the time that the batteries can power on the device. As a consequence, engineers must consider low energy consumption as a critical objective to design WSNs. Several approaches can be taken to make efficient use of energy in WSNs, for instance low-duty-cycling sensor networks (LDC-WSN). Based on the LDC-WSNs, we present LOKA, a LOw power Konsumption Algorithm to minimize WSNs energy consumption using different power modes in a sensor mote. The contribution of the work is a novel algorithm called LOKA that implements two duty-cycling mechanisms using the end-device of the ZigBee protocol (of the Application Support Sublayer) and an external microcontroller (Cortex M0+) in order to minimize the energy consumption of a delay tolerant networking. Experiments show that using LOKA, the energy required by the sensor device is reduced to half with respect to the same sensor device without using LOKA.

  20. A Low Power Consumption Algorithm for Efficient Energy Consumption in ZigBee Motes

    Directory of Open Access Journals (Sweden)

    Daniel Vaquerizo-Hdez

    2017-09-01

    Full Text Available Wireless Sensor Networks (WSNs are becoming increasingly popular since they can gather information from different locations without wires. This advantage is exploited in applications such as robotic systems, telecare, domotic or smart cities, among others. To gain independence from the electricity grid, WSNs devices are equipped with batteries, therefore their operational time is determined by the time that the batteries can power on the device. As a consequence, engineers must consider low energy consumption as a critical objective to design WSNs. Several approaches can be taken to make efficient use of energy in WSNs, for instance low-duty-cycling sensor networks (LDC-WSN. Based on the LDC-WSNs, we present LOKA, a LOw power Konsumption Algorithm to minimize WSNs energy consumption using different power modes in a sensor mote. The contribution of the work is a novel algorithm called LOKA that implements two duty-cycling mechanisms using the end-device of the ZigBee protocol (of the Application Support Sublayer and an external microcontroller (Cortex M0+ in order to minimize the energy consumption of a delay tolerant networking. Experiments show that using LOKA, the energy required by the sensor device is reduced to half with respect to the same sensor device without using LOKA.

  1. Adaptive Cross-Layer Distributed Energy-Efficient Resource Allocation Algorithms for Wireless Data Networks

    Directory of Open Access Journals (Sweden)

    Daniela Saturnino

    2008-10-01

    Full Text Available The issue of adaptive and distributed cross-layer resource allocation for energy efficiency in uplink code-division multiple-access (CDMA wireless data networks is addressed. The resource allocation problems are formulated as noncooperative games wherein each terminal seeks to maximize its own energy efficiency, namely, the number of reliably transmitted information symbols per unit of energy used for transmission. The focus of this paper is on the issue of adaptive and distributed implementation of policies arising from this approach, that is, it is assumed that only readily available measurements, such as the received data, are available at the receiver in order to play the considered games. Both single-cell and multicell networks are considered. Stochastic implementations of noncooperative games for power allocation, spreading code allocation, and choice of the uplink (linear receiver are thus proposed, and analytical results describing the convergence properties of selected stochastic algorithms are also given. Extensive simulation results show that, in many instances of practical interest, the proposed stochastic algorithms approach with satisfactory accuracy the performance of nonadaptive games, whose implementation requires much more prior information.

  2. Power Analysis of Energy Efficient DES Algorithm and Implementation on 28nm FPGA

    DEFF Research Database (Denmark)

    Thind, Vandana; Pandey, Bishwajeet; Hussain, Dil muhammed Akbar

    2016-01-01

    In this work, we have done power analysis ofData Encryption Standard (DES) algorithm using Xilinx ISE software development kit. We have analyzed the amount of power utilized by selective components on board i.e., FPGA Artix-7, where DES algorithm is implemented. The components taken into consider......In this work, we have done power analysis ofData Encryption Standard (DES) algorithm using Xilinx ISE software development kit. We have analyzed the amount of power utilized by selective components on board i.e., FPGA Artix-7, where DES algorithm is implemented. The components taken...... into consideration areclock power, logic power, signals power, IOs power, leakage powerand supply power (dynamic and quiescent). We have used four different WLAN frequencies (2.4 GHz, 3.6 GHz, 4.9GHz, and 5.9 GHz) and four different IO standards like HSTL-I, HSTL-II, HSTL-II-18, HSTL-I-18 for power analysis. We have...... achieved13-47% saving in power at different frequencies and withdifferent energy efficient HSTL IO standard. We calculated the percentage change in the IO power with respect to the mean values of IO power at four different frequencies. We notified that there is minimum of -37.5% and maximum of +35...

  3. A Pareto-based multi-objective optimization algorithm to design energy-efficient shading devices

    International Nuclear Information System (INIS)

    Khoroshiltseva, Marina; Slanzi, Debora; Poli, Irene

    2016-01-01

    Highlights: • We present a multi-objective optimization algorithm for shading design. • We combine Harmony search and Pareto-based procedures. • Thermal and daylighting performances of external shading were considered. • We applied the optimization process to a residential social housing in Madrid. - Abstract: In this paper we address the problem of designing new energy-efficient static daylight devices that will surround the external windows of a residential building in Madrid. Shading devices can in fact largely influence solar gains in a building and improve thermal and lighting comforts by selectively intercepting the solar radiation and by reducing the undesirable glare. A proper shading device can therefore significantly increase the thermal performance of a building by reducing its energy demand in different climate conditions. In order to identify the set of optimal shading devices that allow a low energy consumption of the dwelling while maintaining high levels of thermal and lighting comfort for the inhabitants we derive a multi-objective optimization methodology based on Harmony Search and Pareto front approaches. The results show that the multi-objective approach here proposed is an effective procedure in designing energy efficient shading devices when a large set of conflicting objectives characterizes the performance of the proposed solutions.

  4. Energy efficient model based algorithm for control of building HVAC systems.

    Science.gov (United States)

    Kirubakaran, V; Sahu, Chinmay; Radhakrishnan, T K; Sivakumaran, N

    2015-11-01

    Energy efficient designs are receiving increasing attention in various fields of engineering. Heating ventilation and air conditioning (HVAC) control system designs involve improved energy usage with an acceptable relaxation in thermal comfort. In this paper, real time data from a building HVAC system provided by BuildingLAB is considered. A resistor-capacitor (RC) framework for representing thermal dynamics of the building is estimated using particle swarm optimization (PSO) algorithm. With objective costs as thermal comfort (deviation of room temperature from required temperature) and energy measure (Ecm) explicit MPC design for this building model is executed based on its state space representation of the supply water temperature (input)/room temperature (output) dynamics. The controllers are subjected to servo tracking and external disturbance (ambient temperature) is provided from the real time data during closed loop control. The control strategies are ported on a PIC32mx series microcontroller platform. The building model is implemented in MATLAB and hardware in loop (HIL) testing of the strategies is executed over a USB port. Results indicate that compared to traditional proportional integral (PI) controllers, the explicit MPC's improve both energy efficiency and thermal comfort significantly. Copyright © 2015 Elsevier Inc. All rights reserved.

  5. Genetic algorithm-based fuzzy-PID control methodologies for enhancement of energy efficiency of a dynamic energy system

    International Nuclear Information System (INIS)

    Jahedi, G.; Ardehali, M.M.

    2011-01-01

    The simplicity in coding the heuristic judgment of experienced operator by means of fuzzy logic can be exploited for enhancement of energy efficiency. Fuzzy logic has been used as an effective tool for scheduling conventional PID controllers gain coefficients (F-PID). However, to search for the most desirable fuzzy system characteristics that allow for best performance of the energy system with minimum energy input, optimization techniques such as genetic algorithm (GA) could be utilized and the control methodology is identified as GA-based F-PID (GA-F-PID). The objective of this study is to examine the performance of PID, F-PID, and GA-F-PID controllers for enhancement of energy efficiency of a dynamic energy system. The performance evaluation of the controllers is accomplished by means of two cost functions that are based on the quadratic forms of the energy input and deviation from a setpoint temperature, referred to as energy and comfort costs, respectively. The GA-F-PID controller is examined in two different forms, namely, global form and local form. For the global form, all possible combinations of fuzzy system characteristics in the search domain are explored by GA for finding the fittest chromosome for all discrete time intervals during the entire operation period. For the local form, however, GA is used in each discrete time interval to find the fittest chromosome for implementation. The results show that the global form GA-F-PID and local form GA-F-PID control methodologies, in comparison with PID controller, achieve higher energy efficiency by lowering energy costs by 51.2%, and 67.8%, respectively. Similarly, the comfort costs for deviation from setpoint are enhanced by 54.4%, and 62.4%, respectively. It is determined that GA-F-PID performs better in local from than global form.

  6. Energy Efficient and Safe Weighted Clustering Algorithm for Mobile Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Amine Dahane

    2015-01-01

    Full Text Available The main concern of clustering approaches for mobile wireless sensor networks (WSNs is to prolong the battery life of the individual sensors and the network lifetime. For a successful clustering approach the need of a powerful mechanism to safely elect a cluster head remains a challenging task in many research works that take into account the mobility of the network. The approach based on the computing of the weight of each node in the network is one of the proposed techniques to deal with this problem. In this paper, we propose an energy efficient and safe weighted clustering algorithm (ES-WCA for mobile WSNs using a combination of five metrics. Among these metrics lies the behavioral level metric which promotes a safe choice of a cluster head in the sense where this last one will never be a malicious node. Moreover, the highlight of our work is summarized in a comprehensive strategy for monitoring the network, in order to detect and remove the malicious nodes. We use simulation study to demonstrate the performance of the proposed algorithm.

  7. Energy efficiency

    International Nuclear Information System (INIS)

    2010-01-01

    After a speech of the CEA's (Commissariat a l'Energie Atomique) general administrator about energy efficiency as a first rank challenge for the planet and for France, this publications proposes several contributions: a discussion of the efficiency of nuclear energy, an economic analysis of R and D's value in the field of fourth generation fast reactors, discussions about biofuels and the relationship between energy efficiency and economic competitiveness, and a discussion about solar photovoltaic efficiency

  8. DESIGN OF ENERGY EFFICIENT ROUTING ALGORITHM FOR WIRELESS SENSOR NETWORK (WSN) USING PASCAL GRAPH

    OpenAIRE

    Deepali Panwar; Subhrendu Guha Neogi

    2013-01-01

    Development of energy efficient Wireless Sensor Network (WSN) routing protocol is nowadays main area of interest amongst researchers. This research is an effort in designing energy efficient Wireless Sensor Network (WSN) routing protocol under certain parameters consideration. Research report discusses various existing WSN routing protocols and propose a new WSN energy efficient routing protocol. Results show a significant improvement in life cycle of the nodes and enhancement ...

  9. An Energy-Efficient Spectrum-Aware Reinforcement Learning-Based Clustering Algorithm for Cognitive Radio Sensor Networks.

    Science.gov (United States)

    Mustapha, Ibrahim; Mohd Ali, Borhanuddin; Rasid, Mohd Fadlee A; Sali, Aduwati; Mohamad, Hafizal

    2015-08-13

    It is well-known that clustering partitions network into logical groups of nodes in order to achieve energy efficiency and to enhance dynamic channel access in cognitive radio through cooperative sensing. While the topic of energy efficiency has been well investigated in conventional wireless sensor networks, the latter has not been extensively explored. In this paper, we propose a reinforcement learning-based spectrum-aware clustering algorithm that allows a member node to learn the energy and cooperative sensing costs for neighboring clusters to achieve an optimal solution. Each member node selects an optimal cluster that satisfies pairwise constraints, minimizes network energy consumption and enhances channel sensing performance through an exploration technique. We first model the network energy consumption and then determine the optimal number of clusters for the network. The problem of selecting an optimal cluster is formulated as a Markov Decision Process (MDP) in the algorithm and the obtained simulation results show convergence, learning and adaptability of the algorithm to dynamic environment towards achieving an optimal solution. Performance comparisons of our algorithm with the Groupwise Spectrum Aware (GWSA)-based algorithm in terms of Sum of Square Error (SSE), complexity, network energy consumption and probability of detection indicate improved performance from the proposed approach. The results further reveal that an energy savings of 9% and a significant Primary User (PU) detection improvement can be achieved with the proposed approach.

  10. Energy-Efficient Scheduling Problem Using an Effective Hybrid Multi-Objective Evolutionary Algorithm

    Directory of Open Access Journals (Sweden)

    Lvjiang Yin

    2016-12-01

    Full Text Available Nowadays, manufacturing enterprises face the challenge of just-in-time (JIT production and energy saving. Therefore, study of JIT production and energy consumption is necessary and important in manufacturing sectors. Moreover, energy saving can be attained by the operational method and turn off/on idle machine method, which also increases the complexity of problem solving. Thus, most researchers still focus on small scale problems with one objective: a single machine environment. However, the scheduling problem is a multi-objective optimization problem in real applications. In this paper, a single machine scheduling model with controllable processing and sequence dependence setup times is developed for minimizing the total earliness/tardiness (E/T, cost, and energy consumption simultaneously. An effective multi-objective evolutionary algorithm called local multi-objective evolutionary algorithm (LMOEA is presented to tackle this multi-objective scheduling problem. To accommodate the characteristic of the problem, a new solution representation is proposed, which can convert discrete combinational problems into continuous problems. Additionally, a multiple local search strategy with self-adaptive mechanism is introduced into the proposed algorithm to enhance the exploitation ability. The performance of the proposed algorithm is evaluated by instances with comparison to other multi-objective meta-heuristics such as Nondominated Sorting Genetic Algorithm II (NSGA-II, Strength Pareto Evolutionary Algorithm 2 (SPEA2, Multiobjective Particle Swarm Optimization (OMOPSO, and Multiobjective Evolutionary Algorithm Based on Decomposition (MOEA/D. Experimental results demonstrate that the proposed LMOEA algorithm outperforms its counterparts for this kind of scheduling problems.

  11. A DISTRIBUTED ENERGY EFFICIENT CLUSTERING ALGORITHM FOR DATA AGGREGATION IN WIRELESS SENSOR NETWORKS

    Directory of Open Access Journals (Sweden)

    Seyed Mohammad Bagher Musavi Shirazi

    2018-06-01

    Full Text Available Wireless sensor networks (WSNs are a new generation of networks typically consisting of a large number of inexpensive nodes with wireless communications. The main purpose of these networks is to collect information from the environment for further processing. Nodes in the network have been equipped with limited battery lifetime, so energy saving is one of the major issues in WSNs. If we balance the load among cluster heads and prevent having an extra load on just a few nodes in the network, we can reach longer network lifetime. One solution to control energy consumption and balance the load among nodes is to use clustering techniques. In this paper, we propose a new distributed energy-efficient clustering algorithm for data aggregation in wireless sensor networks, called Distributed Clustering for Data Aggregation (DCDA. In our new approach, an optimal transmission tree is constructed among sensor nodes with a new greedy method. Base station (BS is the root, cluster heads (CHs and relay nodes are intermediate nodes, and other nodes (cluster member nodes are the leaves of this transmission tree. DCDA balances load among CHs in intra-cluster and inter-cluster data communications using different cluster sizes. For efficient inter-cluster communications, some relay nodes will transfer data between CHs. Energy consumption, distance to the base station, and cluster heads’ centric metric are three main adjustment parameters for the cluster heads election. Simulation results show that the proposed protocol leads to the reduction of individual sensor nodes’ energy consumption and prolongs network lifetime, in comparison with other known methods. ABSTRAK: Rangkaian sensor wayarles (WSN adalah rangkaian generasi baru yang terdiri daripada nod-nod murah komunikasi wayarles. Tujuan rangkaian-rangkaian ini adalah bagi mengumpul maklumat sekeliling untuk proses seterusnya. Nod dalam rangkaian ini dilengkapi bateri kurang jangka hayat, jadi simpanan tenaga

  12. Energy efficient sensor nodes placement using Territorial Predator Scent Marking Algorithm (TPSMA)

    International Nuclear Information System (INIS)

    Abidin, H Z; Din, N M

    2013-01-01

    The positions of sensor nodes in a Wireless Sensor Network (WSN) must be able to provide maximum coverage with a longer lifetime. This paper proposed a sensor node placement technique that utilizes a new biologically inspired optimization technique that imitates the behavior of territorial predators in marking their territories with their odors known as Territorial Predator Scent Marking Algorithm (TPSMA). The TPSMA deployed in this paper uses the maximum coverage ratio as the objective function. The performance of the proposed technique is then compared with other schemes in terms of uniformity and average energy consumption. Simulation results show that the WSN deployed with the proposed sensor node placement scheme consumes lower energy compared to the other two schemes and is expected to provide longer lifetime.

  13. Algorithm of Energy Efficiency Improvement for Intelligent Devices in Railway Transport

    Directory of Open Access Journals (Sweden)

    Beinaroviča Anna

    2016-07-01

    Full Text Available The present paper deals with the use of systems and devices with artificial intelligence in the motor vehicle driving. The main objective of transport operations is a transportation planning with minimum energy consumption. There are various methods for energy saving, and the paper discusses one of them – proper planning of transport operations. To gain proper planning it is necessary to involve the system and devices with artificial intelligence. They will display possible developments in the choice of one or another transport plan. Consequently, it can be supposed how much the plan is effective against the spent energy. The intelligent device considered in this paper consists of an algorithm, a database, and the internet for the connection to other intelligent devices. The main task of the target function is to minimize the total downtime at intermediate stations. A specific unique PHP-based computer model was created. It uses the MySQL database for simulation data storage and processing. Conclusions based on the experiments were made. The experiments showed that after optimization, a train can pass intermediate stations without making multiple stops breaking and accelerating, which leads to decreased energy consumption.

  14. Energy efficiency

    International Nuclear Information System (INIS)

    Marvillet, Ch.; Tochon, P.; Mercier, P.

    2004-01-01

    World energy demand is constantly rising. This is a legitimate trend, insofar as access to energy enables enhanced quality of life and sanitation levels for populations. On the other hand, such increased consumption generates effects that may be catastrophic for the future of the planet (climate change, environmental imbalance), should this growth conform to the patterns followed, up to recent times, by most industrialized countries. Reduction of greenhouse gas emissions, development of new energy sources and energy efficiency are seen as the major challenges to be taken up for the world of tomorrow. In France, the National Energy Debate indeed emphasized, in 2003, the requirement to control both demand for, and offer of, energy, through a strategic orientation law for energy. The French position corresponds to a slightly singular situation - and a privileged one, compared to other countries - owing to massive use of nuclear power for electricity generation. This option allows France to be responsible for a mere 2% of worldwide greenhouse gas emissions. Real advances can nonetheless still be achieved as regards improved energy efficiency, particularly in the transportation and residential-tertiary sectors, following the lead, in this respect, shown by industry. These two sectors indeed account for over half of the country CO 2 emissions (26% and 25% respectively). With respect to transportation, the work carried out by CEA on the hydrogen pathway, energy converters, and electricity storage has been covered by the preceding chapters. As regards housing, a topic addressed by one of the papers in this chapter, investigations at CEA concern integration of the various devices enabling value-added use of renewable energies. At the same time, the organization is carrying through its activity in the extensive area of heat exchangers, allowing industry to benefit from improved understanding in the modeling of flows. An activity evidenced by advances in energy efficiency for

  15. Efficient GPS Position Determination Algorithms

    National Research Council Canada - National Science Library

    Nguyen, Thao Q

    2007-01-01

    ... differential GPS algorithm for a network of users. The stand-alone user GPS algorithm is a direct, closed-form, and efficient new position determination algorithm that exploits the closed-form solution of the GPS trilateration equations and works...

  16. CoCMA: Energy-Efficient Coverage Control in Cluster-Based Wireless Sensor Networks Using a Memetic Algorithm

    Directory of Open Access Journals (Sweden)

    Yung-Chung Wang

    2009-06-01

    Full Text Available Deployment of wireless sensor networks (WSNs has drawn much attention in recent years. Given the limited energy for sensor nodes, it is critical to implement WSNs with energy efficiency designs. Sensing coverage in networks, on the other hand, may degrade gradually over time after WSNs are activated. For mission-critical applications, therefore, energy-efficient coverage control should be taken into consideration to support the quality of service (QoS of WSNs. Usually, coverage-controlling strategies present some challenging problems: (1 resolving the conflicts while determining which nodes should be turned off to conserve energy; (2 designing an optimal wake-up scheme that avoids awakening more nodes than necessary. In this paper, we implement an energy-efficient coverage control in cluster-based WSNs using a Memetic Algorithm (MA-based approach, entitled CoCMA, to resolve the challenging problems. The CoCMA contains two optimization strategies: a MA-based schedule for sensor nodes and a wake-up scheme, which are responsible to prolong the network lifetime while maintaining coverage preservation. The MA-based schedule is applied to a given WSN to avoid unnecessary energy consumption caused by the redundant nodes. During the network operation, the wake-up scheme awakens sleeping sensor nodes to recover coverage hole caused by dead nodes. The performance evaluation of the proposed CoCMA was conducted on a cluster-based WSN (CWSN under either a random or a uniform deployment of sensor nodes. Simulation results show that the performance yielded by the combination of MA and wake-up scheme is better than that in some existing approaches. Furthermore, CoCMA is able to activate fewer sensor nodes to monitor the required sensing area.

  17. Optimization of Energy Efficiency and Conservation in Green Building Design Using Duelist, Killer-Whale and Rain-Water Algorithms

    Science.gov (United States)

    Biyanto, T. R.; Matradji; Syamsi, M. N.; Fibrianto, H. Y.; Afdanny, N.; Rahman, A. H.; Gunawan, K. S.; Pratama, J. A. D.; Malwindasari, A.; Abdillah, A. I.; Bethiana, T. N.; Putra, Y. A.

    2017-11-01

    The development of green building has been growing in both design and quality. The development of green building was limited by the issue of expensive investment. Actually, green building can reduce the energy usage inside the building especially in utilization of cooling system. External load plays major role in reducing the usage of cooling system. External load is affected by type of wall sheathing, glass and roof. The proper selection of wall, type of glass and roof material are very important to reduce external load. Hence, the optimization of energy efficiency and conservation in green building design is required. Since this optimization consist of integer and non-linear equations, this problem falls into Mixed-Integer-Non-Linear-Programming (MINLP) that required global optimization technique such as stochastic optimization algorithms. In this paper the optimized variables i.e. type of glass and roof were chosen using Duelist, Killer-Whale and Rain-Water Algorithms to obtain the optimum energy and considering the minimal investment. The optimization results exhibited the single glass Planibel-G with the 3.2 mm thickness and glass wool insulation provided maximum ROI of 36.8486%, EUI reduction of 54 kWh/m2·year, CO2 emission reduction of 486.8971 tons/year and reduce investment of 4,078,905,465 IDR.

  18. Efficient graph algorithms

    Indian Academy of Sciences (India)

    Shortest path problems. Road network on cities and we want to navigate between cities. . – p.8/30 ..... The rest of the talk... Computing connectivities between all pairs of vertices good algorithm wrt both space and time to compute the exact solution. . – p.15/30 ...

  19. Profiling high performance dense linear algebra algorithms on multicore architectures for power and energy efficiency

    KAUST Repository

    Ltaief, Hatem; Luszczek, Piotr R.; Dongarra, Jack

    2011-01-01

    This paper presents the power profile of two high performance dense linear algebra libraries i.e., LAPACK and PLASMA. The former is based on block algorithms that use the fork-join paradigm to achieve parallel performance. The latter uses fine

  20. Experiences with Implementing a Distributed and Self-Organizing Scheduling Algorithm for Energy-Efficient Data Gathering on a Real-Life Sensor Network Platform

    NARCIS (Netherlands)

    Zhang, Y.; Chatterjea, Supriyo; Havinga, Paul J.M.

    2007-01-01

    We report our experiences with implementing a distributed and self-organizing scheduling algorithm designed for energy-efficient data gathering on a 25-node multihop wireless sensor network (WSN). The algorithm takes advantage of spatial correlations that exist in readings of adjacent sensor nodes

  1. An Efficient and Energy-Aware Cloud Consolidation Algorithm for Multimedia Big Data Applications

    Directory of Open Access Journals (Sweden)

    JongBeom Lim

    2017-09-01

    Full Text Available It is well known that cloud computing has many potential advantages over traditional distributed systems. Many enterprises can build their own private cloud with open source infrastructure as a service (IaaS frameworks. Since enterprise applications and data are migrating to private cloud, the performance of cloud computing environments is of utmost importance for both cloud providers and users. To improve the performance, previous studies on cloud consolidation have been focused on live migration of virtual machines based on resource utilization. However, the approaches are not suitable for multimedia big data applications. In this paper, we reveal the performance bottleneck of multimedia big data applications in cloud computing environments and propose a cloud consolidation algorithm that considers application types. We show that our consolidation algorithm outperforms previous approaches.

  2. An Energy Efficient Simultaneous-Node Repositioning Algorithm for Mobile Sensor Networks

    Science.gov (United States)

    Hasbullah, Halabi; Nazir, Babar; Khan, Imran Ali

    2014-01-01

    Recently, wireless sensor network (WSN) applications have seen an increase in interest. In search and rescue, battlefield reconnaissance, and some other such applications, so that a survey of the area of interest can be made collectively, a set of mobile nodes is deployed. Keeping the network nodes connected is vital for WSNs to be effective. The provision of connectivity can be made at the time of startup and can be maintained by carefully coordinating the nodes when they move. However, if a node suddenly fails, the network could be partitioned to cause communication problems. Recently, several methods that use the relocation of nodes for connectivity restoration have been proposed. However, these methods have the tendency to not consider the potential coverage loss in some locations. This paper addresses the concerns of both connectivity and coverage in an integrated way so that this gap can be filled. A novel algorithm for simultaneous-node repositioning is introduced. In this approach, each neighbour of the failed node, one by one, moves in for a certain amount of time to take the place of the failed node, after which it returns to its original location in the network. The effectiveness of this algorithm has been verified by the simulation results. PMID:25152924

  3. Development of a thermal control algorithm using artificial neural network models for improved thermal comfort and energy efficiency in accommodation buildings

    International Nuclear Information System (INIS)

    Moon, Jin Woo; Jung, Sung Kwon

    2016-01-01

    Highlights: • An ANN model for predicting optimal start moment of the cooling system was developed. • An ANN model for predicting the amount of cooling energy consumption was developed. • An optimal control algorithm was developed employing two ANN models. • The algorithm showed the advanced thermal comfort and energy efficiency. - Abstract: The aim of this study was to develop a control algorithm to demonstrate the improved thermal comfort and building energy efficiency of accommodation buildings in the cooling season. For this, two artificial neural network (ANN)-based predictive and adaptive models were developed and employed in the algorithm. One model predicted the cooling energy consumption during the unoccupied period for different setback temperatures and the other predicted the time required for restoring current indoor temperature to the normal set-point temperature. Using numerical simulation methods, the prediction accuracy of the two ANN models and the performance of the algorithm were tested. Through the test result analysis, the two ANN models showed their prediction accuracy with an acceptable error rate when applied in the control algorithm. In addition, the two ANN models based algorithm can be used to provide a more comfortable and energy efficient indoor thermal environment than the two conventional control methods, which respectively employed a fixed set-point temperature for the entire day and a setback temperature during the unoccupied period. Therefore, the operating range was 23–26 °C during the occupied period and 25–28 °C during the unoccupied period. Based on the analysis, it can be concluded that the optimal algorithm with two predictive and adaptive ANN models can be used to design a more comfortable and energy efficient indoor thermal environment for accommodation buildings in a comprehensive manner.

  4. Energy Efficiency

    DEFF Research Database (Denmark)

    Petrichenko, Ksenia; Farrell, Timothy Clifford; Thorsch Krader, Thomas

    2016-01-01

    This report was commissioned by REN21 and produced in collaboration with a global network of research partners. Financing was provided by the German Federal Ministry for Economic Cooperation and Development (BMZ), the German Federal Ministry for Economic Affairs and Energy (BMWi), the Government...

  5. Energy Efficiency

    OpenAIRE

    Petrichenko, Ksenia; Farrell, Timothy Clifford; Thorsch Krader, Thomas; Tsakiris, Aristeidis

    2016-01-01

    This report was commissioned by REN21 and produced in collaboration with a global network of research partners. Financing was provided by the German Federal Ministry for Economic Cooperation and Development (BMZ), the German Federal Ministry for Economic Affairs and Energy (BMWi), the Government of South Africa, the Inter-American Development Bank (IDB), the United Nations Environment Programme (UNEP) and the World Bank Group. A large share of the research for this report was conducted on a v...

  6. Efficient RNA structure comparison algorithms.

    Science.gov (United States)

    Arslan, Abdullah N; Anandan, Jithendar; Fry, Eric; Monschke, Keith; Ganneboina, Nitin; Bowerman, Jason

    2017-12-01

    Recently proposed relative addressing-based ([Formula: see text]) RNA secondary structure representation has important features by which an RNA structure database can be stored into a suffix array. A fast substructure search algorithm has been proposed based on binary search on this suffix array. Using this substructure search algorithm, we present a fast algorithm that finds the largest common substructure of given multiple RNA structures in [Formula: see text] format. The multiple RNA structure comparison problem is NP-hard in its general formulation. We introduced a new problem for comparing multiple RNA structures. This problem has more strict similarity definition and objective, and we propose an algorithm that solves this problem efficiently. We also develop another comparison algorithm that iteratively calls this algorithm to locate nonoverlapping large common substructures in compared RNAs. With the new resulting tools, we improved the RNASSAC website (linked from http://faculty.tamuc.edu/aarslan ). This website now also includes two drawing tools: one specialized for preparing RNA substructures that can be used as input by the search tool, and another one for automatically drawing the entire RNA structure from a given structure sequence.

  7. An energy-efficient and secure hybrid algorithm for wireless sensor networks using a mobile data collector

    Science.gov (United States)

    Dayananda, Karanam Ravichandran; Straub, Jeremy

    2017-05-01

    This paper proposes a new hybrid algorithm for security, which incorporates both distributed and hierarchal approaches. It uses a mobile data collector (MDC) to collect information in order to save energy of sensor nodes in a wireless sensor network (WSN) as, in most networks, these sensor nodes have limited energy. Wireless sensor networks are prone to security problems because, among other things, it is possible to use a rogue sensor node to eavesdrop on or alter the information being transmitted. To prevent this, this paper introduces a security algorithm for MDC-based WSNs. A key use of this algorithm is to protect the confidentiality of the information sent by the sensor nodes. The sensor nodes are deployed in a random fashion and form group structures called clusters. Each cluster has a cluster head. The cluster head collects data from the other nodes using the time-division multiple access protocol. The sensor nodes send their data to the cluster head for transmission to the base station node for further processing. The MDC acts as an intermediate node between the cluster head and base station. The MDC, using its dynamic acyclic graph path, collects the data from the cluster head and sends it to base station. This approach is useful for applications including warfighting, intelligent building and medicine. To assess the proposed system, the paper presents a comparison of its performance with other approaches and algorithms that can be used for similar purposes.

  8. Diagnostic information system dynamics in the evaluation of machine learning algorithms for the supervision of energy efficiency of district heating-supplied buildings

    International Nuclear Information System (INIS)

    Kiluk, Sebastian

    2017-01-01

    Highlights: • Energy efficiency classification sustainability benefits from knowledge prediction. • Diagnostic classification can be validated with its dynamics and current data. • Diagnostic classification dynamics provides novelty extraction for knowledge update. • Data mining comparison can be performed with knowledge dynamics and uncertainty. • Diagnostic information refinement benefits form comparing classifiers dynamics. - Abstract: Modern ways of exploring the diagnostic knowledge provided by data mining and machine learning raise some concern about the ways of evaluating the quality of output knowledge, usually represented by information systems. Especially in district heating, the stationarity of efficiency models, and thus the relevance of diagnostic classification system, cannot be ensured due to the impact of social, economic or technological changes, which are hard to identify or predict. Therefore, data mining and machine learning have become an attractive strategy for automatically and continuously absorbing such dynamics. This paper presents a new method of evaluation and comparison of diagnostic information systems gathered algorithmically in district heating efficiency supervision based on exploring the evolution of information system and analyzing its dynamic features. The process of data mining and knowledge discovery was applied to the data acquired from district heating substations’ energy meters to provide the automated discovery of diagnostic knowledge base necessary for the efficiency supervision of district heating-supplied buildings. The implemented algorithm consists of several steps of processing the billing data, including preparation, segmentation, aggregation and knowledge discovery stage, where classes of abstract models representing energy efficiency constitute an information system representing diagnostic knowledge about the energy efficiency of buildings favorably operating under similar climate conditions and

  9. Energy efficiency; Efficacite energetique

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2006-06-15

    This road-map proposes by the Group Total aims to inform the public on the energy efficiency. It presents the energy efficiency and intensity around the world with a particular focus on Europe, the energy efficiency in industry and Total commitment. (A.L.B.)

  10. Energy efficiency through energy audit

    International Nuclear Information System (INIS)

    Esan, A. A.

    2000-08-01

    Energy is an essential factor to economic and social development and improved standards of living in developing countries. Nigeria in particular. There is a strong need for greater energy efficiency in every sector of economy in order to reduce costs. enhance competitiveness, conserve energy resources and reduce environmental impacts associated with production, distribution and use of energy. Energy auditing and monitoring has a significant role in any energy management and conservation project. Energy auditing as an important part of industrial energy management on plant level, represents a complex of activities aiming at the efficient use of energy. The activities are undertaken by a team of experts who use a set of measuring instruments to monitor and evaluate all the necessary data to elaborate a package of recommendations on improvements in the field of energy efficiency and possible product quality. The inefficient conversion and use of energy have been identified as a central problem for all developing countries, Nigeria inclusive, since they all consume significantly higher amounts of energy per unit of GDP than OECD countries. This aggravates energy-related environmental problems and is also a burden on domestic resources and foreign exchange. Energy prices have risen drastically in many developing countries, while energy intensities remain high. Price changes alone are not rapidly translating energy efficiency improvements. Identifying and removing the obstacles to greater energy efficiency should be priority for government in developing countries. This is why the Energy Commission, an apex organ of government on Energy matters in all its ramifications is out to encourage relatively low-cost energy audits for the Textile industries - such audits can identify ''good house-keeping's' measures, such as simply process improvements, that reduce energy consumption and operating costs. This will be followed by the training of plant workers/energy managers

  11. The Energy Efficient Enterprise

    Energy Technology Data Exchange (ETDEWEB)

    Ahmad, Bashir

    2010-09-15

    Since rising energy costs have become a crucial factor for the economy of production processes, the optimization of energy efficiency is of essential importance for industrial enterprises. Enterprises establish energy saving programs, specific to their needs. The most important elements of these energy efficiency programs are energy savings, energy controlling, energy optimization, and energy management. This article highlights the industrial enterprise approach to establish sustainable energy management programs based on the above elements. Globally, if organizations follow this approach, they can significantly reduce the overall energy consumption and cost.

  12. Reconsidering energy efficiency

    International Nuclear Information System (INIS)

    Goldoni, Giovanni

    2007-01-01

    Energy and environmental policies are reconsidering energy efficiency. In a perfect market, rational and well informed consumers reach economic efficiency which, at the given prices of energy and capital, corresponds to physical efficiency. In the real world, market failures and cognitive frictions distort the consumers from perfectly rational and informed choices. Green incentive schemes aim at balancing market failures and directing consumers toward more efficient goods and services. The problem is to fine tune the incentive schemes [it

  13. M4GB : Efficient Groebner Basis algorithm

    NARCIS (Netherlands)

    R.H. Makarim (Rusydi); M.M.J. Stevens (Marc)

    2017-01-01

    textabstractWe introduce a new efficient algorithm for computing Groebner-bases named M4GB. Like Faugere's algorithm F4 it is an extension of Buchberger's algorithm that describes: how to store already computed (tail-)reduced multiples of basis polynomials to prevent redundant work in the reduction

  14. Computationally efficient optimisation algorithms for WECs arrays

    DEFF Research Database (Denmark)

    Ferri, Francesco

    2017-01-01

    In this paper two derivative-free global optimization algorithms are applied for the maximisation of the energy absorbed by wave energy converter (WEC) arrays. Wave energy is a large and mostly untapped source of energy that could have a key role in the future energy mix. The collection of this r...

  15. An efficient quantum algorithm for spectral estimation

    Science.gov (United States)

    Steffens, Adrian; Rebentrost, Patrick; Marvian, Iman; Eisert, Jens; Lloyd, Seth

    2017-03-01

    We develop an efficient quantum implementation of an important signal processing algorithm for line spectral estimation: the matrix pencil method, which determines the frequencies and damping factors of signals consisting of finite sums of exponentially damped sinusoids. Our algorithm provides a quantum speedup in a natural regime where the sampling rate is much higher than the number of sinusoid components. Along the way, we develop techniques that are expected to be useful for other quantum algorithms as well—consecutive phase estimations to efficiently make products of asymmetric low rank matrices classically accessible and an alternative method to efficiently exponentiate non-Hermitian matrices. Our algorithm features an efficient quantum-classical division of labor: the time-critical steps are implemented in quantum superposition, while an interjacent step, requiring much fewer parameters, can operate classically. We show that frequencies and damping factors can be obtained in time logarithmic in the number of sampling points, exponentially faster than known classical algorithms.

  16. Energy Efficiency Collaboratives

    Energy Technology Data Exchange (ETDEWEB)

    Li, Michael [US Department of Energy, Washington, DC (United States); Bryson, Joe [US Environmental Protection Agency, Washington, DC (United States)

    2015-09-01

    Collaboratives for energy efficiency have a long and successful history and are currently used, in some form, in more than half of the states. Historically, many state utility commissions have used some form of collaborative group process to resolve complex issues that emerge during a rate proceeding. Rather than debate the issues through the formality of a commission proceeding, disagreeing parties are sent to discuss issues in a less-formal setting and bring back resolutions to the commission. Energy efficiency collaboratives take this concept and apply it specifically to energy efficiency programs—often in anticipation of future issues as opposed to reacting to a present disagreement. Energy efficiency collaboratives can operate long term and can address the full suite of issues associated with designing, implementing, and improving energy efficiency programs. Collaboratives can be useful to gather stakeholder input on changing program budgets and program changes in response to performance or market shifts, as well as to provide continuity while regulators come and go, identify additional energy efficiency opportunities and innovations, assess the role of energy efficiency in new regulatory contexts, and draw on lessons learned and best practices from a diverse group. Details about specific collaboratives in the United States are in the appendix to this guide. Collectively, they demonstrate the value of collaborative stakeholder processes in producing successful energy efficiency programs.

  17. Energy efficiency and behaviour

    DEFF Research Database (Denmark)

    Carstensen, Trine Agervig; Kunnasvirta, Annika; Kiviluoto, Katariina

    separate key aspects hinders strategic energy efficiency planning. For this reason, the PLEEC project – “Planning for Energy Efficient Cities” – funded by the EU Seventh Framework Programme uses an integrative approach to achieve the sus‐ tainable, energy– efficient, smart city. By coordinating strategies...... to conduct behavioural interventions, to be presented in Deliverable 5.5., the final report. This report will also provide valuable information for the WP6 general model for an Energy-Smart City. Altogether 38 behavioural interventions are analysed in this report. Each collected and analysed case study...... of the European Union’s 20‐20‐20 plan is to improve energy efficiency by 20% in 2020. However, holistic knowledge about energy efficiency potentials in cities is far from complete. Currently, a WP4 location in PLEEC project page 3 variety of individual strategies and approaches by different stakeholders tackling...

  18. Energy efficient design

    International Nuclear Information System (INIS)

    1991-01-01

    Solar Applications and Energy Efficiency in Building Design and Town Planning (RER/87/006) is a United Nations Development Programme (UNDP) project of the Governments of Albania, Bulgaria, Cyprus, The Czech and Slovak Federal Republic, France, Hungary, Malta, Poland, Turkey, United Kingdom and Yugoslavia. The project began in 1988 and comes to a conclusion at the end of 1991. It is to enhance the professional skills of practicing architects, engineers and town planners in European countries to design energy efficient buildings which reduce energy consumption and make greater use of passive solar heating and natural cooling techniques. The United Nations Economic Commission for Europe (ECE) is the Executing Agency of the project which is implemented under the auspices of the Committee on Energy, General Energy Programme of Work for 1990-1994, sub-programme 5 Energy Conservation and Efficiency (ECE/ENERGY/15). The project has five main outputs or results: an international network of institutions for low energy building design; a state-of-the-art survey of energy use in the built environment of European IPF countries; a simple computer program for energy efficient building design; a design guide and computer program operators' manual; and a series of international training courses in participating European IPF countries. Energy Efficient Design is the fourth output of the project. It comprises the design guide for practicing architects and engineers, for use mainly in mid-career training courses, and the operators' manual for the project's computer program

  19. An Efficient Algorithm for Unconstrained Optimization

    Directory of Open Access Journals (Sweden)

    Sergio Gerardo de-los-Cobos-Silva

    2015-01-01

    Full Text Available This paper presents an original and efficient PSO algorithm, which is divided into three phases: (1 stabilization, (2 breadth-first search, and (3 depth-first search. The proposed algorithm, called PSO-3P, was tested with 47 benchmark continuous unconstrained optimization problems, on a total of 82 instances. The numerical results show that the proposed algorithm is able to reach the global optimum. This work mainly focuses on unconstrained optimization problems from 2 to 1,000 variables.

  20. Financing Energy Efficient Homes

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-07-01

    Existing buildings require over 40% of the world's total final energy consumption, and account for 24% of world CO2 emissions (IEA, 2006). Much of this consumption could be avoided through improved efficiency of building energy systems (IEA, 2006) using current, commercially-viable technology. In most cases, these technologies make economic sense on a life-cycle cost analysis (IEA, 2006b). Moreover, to the extent that they reduce dependence on risk-prone fossil energy sources, energy efficient technologies also address concerns of energy security.

  1. Financing Energy Efficient Homes

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2007-07-01

    Existing buildings require over 40% of the world's total final energy consumption, and account for 24% of world CO2 emissions (IEA, 2006). Much of this consumption could be avoided through improved efficiency of building energy systems (IEA, 2006) using current, commercially-viable technology. In most cases, these technologies make economic sense on a life-cycle cost analysis (IEA, 2006b). Moreover, to the extent that they reduce dependence on risk-prone fossil energy sources, energy efficient technologies also address concerns of energy security.

  2. An efficient macro-cell placement algorithm

    NARCIS (Netherlands)

    Aarts, E.H.L.; Bont, de F.M.J.; Korst, J.H.M.; Rongen, J.M.J.

    1991-01-01

    A new approximation algorithm is presented for the efficient handling of large macro-cell placement problems. The algorithm combines simulated annealing with new features based on a hierarchical approach and a divide-and-conquer technique. Numerical results show that these features can lead to a

  3. National energy efficiency programme

    International Nuclear Information System (INIS)

    Anon.

    1992-01-01

    This paper focusses on energy conservation and specifically on energy efficiency which includes efficiency in the production, delivery and utilisation of energy as part of the total energy system of the economy. A National Energy Efficiency Programme is being launched in the Eighth Plan that will take into account both macro level and policy and planning considerations as well as micro level responses for different category of users in the industry, agriculture, transport and domestic sectors. The need for such a National Energy Efficiency Programme after making an assessment of existing energy conservation activities in the country is discussed. The broad framework and contents of the National Energy Efficiency Programme have been outlined and the Eighth Plan targets for energy conservation and their break-up have been given. These targets, as per the Eighth Plan document are 5000 MW in electricity installed capacity and 6 million tonnes of petroleum products by the terminal year of the Eighth Plan. The issues that need to be examined for each sector for achieving the above targets for energy conservation in the Eighth Plan are discussed briefly. They are: (a) policy and planning, (b) implementation arrangements which include the institutional setup and selective legislation, (c) technological requirements, and (d) resource requirements which include human resources and financial resources. (author)

  4. Energy Efficiency Center - Overview

    International Nuclear Information System (INIS)

    Obryk, E.

    2000-01-01

    Full text: The Energy Efficiency Center (EEC) activities have been concentrated on Energy Efficiency Network (SEGE), education and training of energy auditors. EEC has started studies related to renewable fuels (bio fuel, wastes) and other topics related to environment protection. EEC has continued close collaboration with Institute for Energy Technology, Kjeller, Norway. It has been organized and conducted Seminar and Workshop on ''How to Reduce Energy and Water Cost in Higher Education Buildings'' for general and technical managers of the higher education institutions. This Seminar was proceeded by the working meeting on energy efficiency strategy in higher education at the Ministry of National Education. EEC has worked out proposal for activities of Cracow Regional Agency for Energy Efficiency and Environment and has made offer to provide services for this Agency in the field of training, education and consulting. The vast knowledge and experiences in the field of energy audits have been used by the members of EEC in lecturing at energy auditors courses authorized by the National Energy Efficiency Agency (KAPE). Altogether 20 lectures have been delivered. (author)

  5. Transport Energy Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2010-07-01

    Transport is the sector with the highest final energy consumption and, without any significant policy changes, is forecast to remain so. In 2008, the IEA published 25 energy efficiency recommendations, among which four are for the transport sector. The recommendations focus on road transport and include policies on improving tyre energy efficiency, fuel economy standards for both light-duty vehicles and heavy-duty vehicles, and eco-driving. Implementation of the recommendations has been weaker in the transport sector than others. This paper updates the progress that has been made in implementing the transport energy efficiency recommendations in IEA countries since March 2009. Many countries have in the last year moved from 'planning to implement' to 'implementation underway', but none have fully implemented all transport energy efficiency recommendations. The IEA calls therefore for full and immediate implementation of the recommendations.

  6. Energy efficiency in Finland

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-12-31

    In Finland a significant portion of energy originates from renewable sources and cogeneration, that is, combined production of electricity and heat. Combined heat and electricity production is typical in the Finnish industry and in the district heating sector. One third of all electricity and 15 % of district heating is produced by cogeneration. District heating schemes provide about 45 % of heat in buildings. Overall efficiency in industry exceeds 80 % and is even higher in the district heating sector. In 1996 25 % of Finland`s primary energy was produced from renewable energy sources which is a far higher proportion than the European Union average of 6 %. Finland is one of the leading users of bioenergy. Biomass including peat, provides approximately 50 % of fuel consumed by industry and is utilised in significant amounts in combined heat and electricity plants. For example, in the pulp and paper industry, by burning black liquor and bark during the production of chemical pulp, significant amounts of energy are generated and used in paper mills. Conservation and efficient use of energy are central to the Finnish Government`s Energy Strategy. The energy conservation programme aims to increase energy efficiency by 10-20 % by the year 2010. Energy saving technology plays a key role in making the production and use of energy more efficient. In 1996 of FIM 335 million (ECU 57 million) spent on funding research, FIM 120 million (ECU 20 million) was spent on research into energy conservation

  7. Efficient use of energy

    CERN Document Server

    Dryden, IGC

    2013-01-01

    The Efficient Use of Energy, Second Edition is a compendium of papers discussing the efficiency with which energy is used in industry. The collection covers relevant topics in energy handling and describes the more important features of plant and equipment. The book is organized into six parts. Part I presents the various methods of heat production. The second part discusses the use of heat in industry and includes topics in furnace design, industrial heating, boiler plants, and water treatment. Part III deals with the production of mechanical and electrical energy. It tackles the principles o

  8. A Smart and Balanced Energy-Efficient Multihop Clustering Algorithm (Smart-BEEM) for MIMO IoT Systems in Future Networks.

    Science.gov (United States)

    Xu, Lina; O'Hare, Gregory M P; Collier, Rem

    2017-07-05

    Wireless Sensor Networks (WSNs) are typically composed of thousands of sensors powered by limited energy resources. Clustering techniques were introduced to prolong network longevity offering the promise of green computing. However, most existing work fails to consider the network coverage when evaluating the lifetime of a network. We believe that balancing the energy consumption in per unit area rather than on each single sensor can provide better-balanced power usage throughout the network. Our former work-Balanced Energy-Efficiency (BEE) and its Multihop version BEEM can not only extend the network longevity, but also maintain the network coverage. Following WSNs, Internet of Things (IoT) technology has been proposed with higher degree of diversities in terms of communication abilities and user scenarios, supporting a large range of real world applications. The IoT devices are embedded with multiple communication interfaces, normally referred as Multiple-In and Multiple-Out (MIMO) in 5G networks. The applications running on those devices can generate various types of data. Every interface has its own characteristics, which may be preferred and beneficial in some specific user scenarios. With MIMO becoming more available on the IoT devices, an advanced clustering solution for highly dynamic IoT systems is missing and also pressingly demanded in order to cater for differing user applications. In this paper, we present a smart clustering algorithm (Smart-BEEM) based on our former work BEE(M) to accomplish energy efficient and Quality of user Experience (QoE) supported communication in cluster based IoT networks. It is a user behaviour and context aware approach, aiming to facilitate IoT devices to choose beneficial communication interfaces and cluster headers for data transmission. Experimental results have proved that Smart-BEEM can further improve the performance of BEE and BEEM for coverage sensitive longevity.

  9. A Smart and Balanced Energy-Efficient Multihop Clustering Algorithm (Smart-BEEM) for MIMO IoT Systems in Future Networks †

    Science.gov (United States)

    O’Hare, Gregory M. P.; Collier, Rem

    2017-01-01

    Wireless Sensor Networks (WSNs) are typically composed of thousands of sensors powered by limited energy resources. Clustering techniques were introduced to prolong network longevity offering the promise of green computing. However, most existing work fails to consider the network coverage when evaluating the lifetime of a network. We believe that balancing the energy consumption in per unit area rather than on each single sensor can provide better-balanced power usage throughout the network. Our former work—Balanced Energy-Efficiency (BEE) and its Multihop version BEEM can not only extend the network longevity, but also maintain the network coverage. Following WSNs, Internet of Things (IoT) technology has been proposed with higher degree of diversities in terms of communication abilities and user scenarios, supporting a large range of real world applications. The IoT devices are embedded with multiple communication interfaces, normally referred as Multiple-In and Multiple-Out (MIMO) in 5G networks. The applications running on those devices can generate various types of data. Every interface has its own characteristics, which may be preferred and beneficial in some specific user scenarios. With MIMO becoming more available on the IoT devices, an advanced clustering solution for highly dynamic IoT systems is missing and also pressingly demanded in order to cater for differing user applications. In this paper, we present a smart clustering algorithm (Smart-BEEM) based on our former work BEE(M) to accomplish energy efficient and Quality of user Experience (QoE) supported communication in cluster based IoT networks. It is a user behaviour and context aware approach, aiming to facilitate IoT devices to choose beneficial communication interfaces and cluster headers for data transmission. Experimental results have proved that Smart-BEEM can further improve the performance of BEE and BEEM for coverage sensitive longevity. PMID:28678164

  10. Energy Efficient Cryogenics

    Science.gov (United States)

    Meneghelli, Barry J.; Notardonato, William; Fesmire, James E.

    2016-01-01

    The Cryogenics Test Laboratory, NASA Kennedy Space Center, works to provide practical solutions to low-temperature problems while focusing on long-term technology targets for the energy-efficient use of cryogenics on Earth and in space.

  11. Energy efficiency; Energieffektivisering

    Energy Technology Data Exchange (ETDEWEB)

    2009-06-15

    The Low Energy Panel will halve the consumption in buildings. The Panel has proposed a halving of consumption in the construction within 2040 and 20 percent reduction in the consumption in the industry within 2020. The Panel consider it as possible to gradually reduce consumption in buildings from the current level of 80 TWh with 10 TWh in 2020, 25 TWh in 2030 and 40 TWh in 2040. According the committee one such halving can be reached by significant efforts relating to energy efficiency, by greater rehabilitations, energy efficiency in consisting building stock and stricter requirements for new construction. For the industry field the Panel recommend a political goal to be set at least 20 percent reduction in specific energy consumption in the industry and primary industry beyond general technological development by the end of 2020. This is equivalent to approximately 17 TWh based on current level of activity. The Panel believes that a 5 percent reduction should be achieved by the end of 2012 by carrying out simple measures. The Low Energy Panel has since March 2009 considered possibilities to strengthen the authorities' work with energy efficiency in Norway. The wide complex panel adds up proposals for a comprehensive approach for increased energy efficiency in particular in the building- and industry field. The Panel has looked into the potential for energy efficiency, barriers for energy efficiency, assessment of strengths and weaknesses in the existing policy instruments and members of the Panel's recommendations. In addition the report contains a review of theoretical principles for effects of instruments together with an extensive background. One of the committee members have chosen to take special notes on the main recommendations in the report. (AG)

  12. Energy efficiency system development

    Science.gov (United States)

    Leman, A. M.; Rahman, K. A.; Chong, Haw Jie; Salleh, Mohd Najib Mohd; Yusof, M. Z. M.

    2017-09-01

    By subjecting to the massive usage of electrical energy in Malaysia, energy efficiency is now one of the key areas of focus in climate change mitigation. This paper focuses on the development of an energy efficiency system of household electrical appliances for residential areas. Distribution of Questionnaires and pay a visit to few selected residential areas are conducted during the fulfilment of the project as well as some advice on how to save energy are shared with the participants. Based on the collected data, the system developed by the UTHM Energy Team is then evaluated from the aspect of the consumers' behaviour in using electrical appliances and the potential reduction targeted by the team. By the end of the project, 60% of the participants had successfully reduced the electrical power consumption set by the UTHM Energy Team. The reasons for whether the success and the failure is further analysed in this project.

  13. Energy Efficient Digital Networks

    Energy Technology Data Exchange (ETDEWEB)

    Lanzisera, Steven [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Brown, Richard [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2013-01-01

    Digital networks are the foundation of the information services, and play an expanding and indispensable role in our lives, via the Internet, email, mobile phones, etc. However, these networks consume energy, both through the direct energy use of the network interfaces and equipment that comprise the network, and in the effect they have on the operating patterns of devices connected to the network. The purpose of this research was to investigate a variety of technology and policy issues related to the energy use caused by digital networks, and to further develop several energy-efficiency technologies targeted at networks.

  14. Productivity and energy efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Lovins, H. [Rocky Mountain Inst., Snowmass, CO (United States)

    1995-12-31

    Energy efficient building and office design offers the possibility of significantly increased worker productivity. By improving lighting, heating and cooling, workers can be made more comfortable and productive. An increase of 1 percent in productivity can provide savings to a company that exceed its entire energy bill. Efficient design practices are cost effective just from their energy savings. The resulting productivity gains make them indispensable. This paper documents eight cases in which efficient lighting, heating, and cooling have measurably increased worker productivity, decreased absenteeism, and/or improved the quality of work performed. They also show that efficient lighting can measurably increase work quality by removing errors and manufacturing defects. The case studies presented include retrofit of existing buildings and the design of new facilities, and cover a variety of commercial and industrial settings. Each case study identifies the design changes that were most responsible for increased productivity. As the eight case studies illustrate, energy efficient design may be one of the least expensive ways for a business to improve the productivity of its workers and the quality of its product. (author). 15 refs.

  15. Dimensions of energy efficiency

    International Nuclear Information System (INIS)

    Ramani, K.V.

    1992-01-01

    In this address the author describes three dimensions of energy efficiency in order of increasing costs: conservation, resource and technology substitution, and changes in economic structure. He emphasizes the importance of economic rather than environmental rationales for energy efficiency improvements in developing countries. These countries do not place high priority on the problems of global climate change. Opportunities for new technologies may exist in resource transfer, new fuels and, possibly, small reactors. More research on economic and social impacts of technologies with greater sensitivity to user preferences is needed

  16. Danish Energy Efficiency Policy

    DEFF Research Database (Denmark)

    Togeby, Mikael; Larsen, Anders; Dyhr-Mikkelsen, Kirsten

    2009-01-01

    Ten groups of policy instruments for promoting energy efficiency are actively used in Denmark. Among these are the EU instruments such as the CO2 emissions trading scheme and labelling of appliances, labelling of all buildings, combined with national instruments such as high taxes especially...... of the entire Danish energy efficiency policy portfolio must be carried out before end 2008 and put forward for discussion among governing parties no later than February 2009. A consortium comprising Ea Energy Analyses, Niras, the Department of Society and Globalisation (Roskilde University) and 4-Fact...... on households and the public sector, obligations for energy companies (electricity, natural gas, district heating, and oil) to deliver documented savings, strict building codes, special instructions for the public sector, and an Electricity Saving Trust. A political agreement from 2005 states that an evaluation...

  17. Energy Efficiency Project Development

    Energy Technology Data Exchange (ETDEWEB)

    IUEP

    2004-03-01

    The International Utility Efficiency Partnerships, Inc. (IUEP) has been a leader among the industry groups that have supported voluntary initiatives to promote international energy efficiency projects and address global climate change. The IUEP maintains its leadership by both supporting international greenhouse gas (GHG) reduction projects under the auspices of the U.S. Department of Energy (DOE) and by partnering with U.S. and international organizations to develop and implement strategies and specific energy efficiency projects. The goals of the IUEP program are to (1) provide a way for U.S. industry to maintain a leadership role in international energy efficiency infrastructure projects; (2) identify international energy project development opportunities to continue its leadership in supporting voluntary market-based mechanisms to reduce GHG emissions; and (3) demonstrate private sector commitment to voluntary approaches to global climate issues. The IUEP is dedicated to identifying, promoting, managing, and assisting in the registration of international energy efficiency projects that result in demonstrated voluntary reductions of GHG emissions. This Final Technical Report summarizes the IUEP's work in identifying, promoting, managing, and assisting in development of these projects and IUEP's effort in creating international cooperative partnerships to support project development activities that develop and deploy technologies that (1) increase efficiency in the production, delivery and use of energy; (2) increase the use of cleaner, low-carbon fuels in processing products; and (3) capture/sequester carbon gases from energy systems. Through international cooperative efforts, the IUEP intends to strengthen partnerships for energy technology innovation and demonstration projects capable of providing cleaner energy in a cost-effective manner. As detailed in this report, the IUEP met program objectives and goals during the reporting period January 1

  18. Energy-driven scheduling algorithm for nanosatellite energy harvesting maximization

    Science.gov (United States)

    Slongo, L. K.; Martínez, S. V.; Eiterer, B. V. B.; Pereira, T. G.; Bezerra, E. A.; Paiva, K. V.

    2018-06-01

    The number of tasks that a satellite may execute in orbit is strongly related to the amount of energy its Electrical Power System (EPS) is able to harvest and to store. The manner the stored energy is distributed within the satellite has also a great impact on the CubeSat's overall efficiency. Most CubeSat's EPS do not prioritize energy constraints in their formulation. Unlike that, this work proposes an innovative energy-driven scheduling algorithm based on energy harvesting maximization policy. The energy harvesting circuit is mathematically modeled and the solar panel I-V curves are presented for different temperature and irradiance levels. Considering the models and simulations, the scheduling algorithm is designed to keep solar panels working close to their maximum power point by triggering tasks in the appropriate form. Tasks execution affects battery voltage, which is coupled to the solar panels through a protection circuit. A software based Perturb and Observe strategy allows defining the tasks to be triggered. The scheduling algorithm is tested in FloripaSat, which is an 1U CubeSat. A test apparatus is proposed to emulate solar irradiance variation, considering the satellite movement around the Earth. Tests have been conducted to show that the scheduling algorithm improves the CubeSat energy harvesting capability by 4.48% in a three orbit experiment and up to 8.46% in a single orbit cycle in comparison with the CubeSat operating without the scheduling algorithm.

  19. Energy efficiency in pumps

    Energy Technology Data Exchange (ETDEWEB)

    Kaya, Durmus; Yagmur, E. Alptekin [TUBITAK-MRC, P.O. Box 21, 41470 Gebze, Kocaeli (Turkey); Yigit, K. Suleyman; Eren, A. Salih; Celik, Cenk [Engineering Faculty, Kocaeli University, Kocaeli (Turkey); Kilic, Fatma Canka [Department of Air Conditioning and Refrigeration, Kocaeli University, Kullar, Kocaeli (Turkey)

    2008-06-15

    In this paper, ''energy efficiency'' studies, done in a big industrial facility's pumps, are reported. For this purpose; the flow rate, pressure and temperature have been measured for each pump in different operating conditions and at maximum load. In addition, the electrical power drawn by the electric motor has been measured. The efficiencies of the existing pumps and electric motor have been calculated by using the measured data. Potential energy saving opportunities have been studied by taking into account the results of the calculations for each pump and electric motor. As a conclusion, improvements should be made each system. The required investment costs for these improvements have been determined, and simple payback periods have been calculated. The main energy saving opportunities result from: replacements of the existing low efficiency pumps, maintenance of the pumps whose efficiencies start to decline at certain range, replacements of high power electric motors with electric motors that have suitable power, usage of high efficiency electric motors and elimination of cavitation problems. (author)

  20. Energy efficiency in pumps

    International Nuclear Information System (INIS)

    Kaya, Durmus; Yagmur, E. Alptekin; Yigit, K. Suleyman; Kilic, Fatma Canka; Eren, A. Salih; Celik, Cenk

    2008-01-01

    In this paper, 'energy efficiency' studies, done in a big industrial facility's pumps, are reported. For this purpose; the flow rate, pressure and temperature have been measured for each pump in different operating conditions and at maximum load. In addition, the electrical power drawn by the electric motor has been measured. The efficiencies of the existing pumps and electric motor have been calculated by using the measured data. Potential energy saving opportunities have been studied by taking into account the results of the calculations for each pump and electric motor. As a conclusion, improvements should be made each system. The required investment costs for these improvements have been determined, and simple payback periods have been calculated. The main energy saving opportunities result from: replacements of the existing low efficiency pumps, maintenance of the pumps whose efficiencies start to decline at certain range, replacements of high power electric motors with electric motors that have suitable power, usage of high efficiency electric motors and elimination of cavitation problems

  1. Efficient Parallel Algorithms for Unsteady Incompressible Flows

    KAUST Repository

    Guermond, Jean-Luc; Minev, Peter D.

    2013-01-01

    The objective of this paper is to give an overview of recent developments on splitting schemes for solving the time-dependent incompressible Navier–Stokes equations and to discuss possible extensions to the variable density/viscosity case. A particular attention is given to algorithms that can be implemented efficiently on large parallel clusters.

  2. Energy efficiency labelling

    Energy Technology Data Exchange (ETDEWEB)

    1978-04-01

    This research assesses the likely effects on UK consumers of the proposed EEC energy-efficiency labeling scheme. Unless (or until) an energy-labeling scheme is introduced, it is impossible to do more than postulate its likely effects on consumer behavior. This report shows that there are indeed significant differences in energy consumption between different brands and models of the same appliance of which consumers are unaware. Further, the report suggests that, if a readily intelligible energy-labeling scheme were introduced, it would provide useful information that consumers currently lack; and that, if this information were successfully presented, it would be used and could have substantial effects in reducing domestic fuel consumption. Therefore, it is recommended that an energy labeling scheme be introduced.

  3. New energy technologies 4. Energy management and energy efficiency

    International Nuclear Information System (INIS)

    Sabonnadiere, J.C.; Caire, R.; Raison, B.; Quenard, D.; Verneau, G.; Zissis, G.

    2007-01-01

    This forth tome of the new energy technologies handbook is devoted to energy management and to the improvement of energy efficiency. The energy management by decentralized generation insertion and network-driven load control, analyzes the insertion and management means of small power generation in distribution networks and the means for load management by the network with the aim of saving energy and limiting peak loads. The second part, devoted to energy efficiency presents in a detailed way the technologies allowing an optimal management of energy in buildings and leading to the implementation of positive energy buildings. A special chapter treats of energy saving using new lighting technologies in the private and public sectors. Content: 1 - decentralized power generation - impacts and solutions: threat or opportunity; deregulation; emerging generation means; impact of decentralized generation on power networks; elements of solution; 2 - mastery of energy demand - loads control by the network: stakes of loads control; choice of loads to be controlled; communication needs; measurements and controls for loads control; model and algorithm needs for loads control. A better energy efficiency: 3 - towards positive energy buildings: key data for Europe; how to convert fossil energy consuming buildings into low-energy consuming and even energy generating buildings; the Minergie brand; the PassivHaus or 'passive house' label; the zero-energy house/zero-energy home (ZEH); the zero-energy building (ZEB); the positive energy house; comparison between the three Minergie/PassivHaus/ZEH types of houses; beyond the positive energy building; 4 - light sources and lighting systems - from technology to energy saving: lighting yesterday and today; light sources and energy conversion; energy saving in the domain of lighting: study of some type-cases; what future for light sources. (J.S.)

  4. Energy efficient data centers

    Energy Technology Data Exchange (ETDEWEB)

    Tschudi, William; Xu, Tengfang; Sartor, Dale; Koomey, Jon; Nordman, Bruce; Sezgen, Osman

    2004-03-30

    Data Center facilities, prevalent in many industries and institutions are essential to California's economy. Energy intensive data centers are crucial to California's industries, and many other institutions (such as universities) in the state, and they play an important role in the constantly evolving communications industry. To better understand the impact of the energy requirements and energy efficiency improvement potential in these facilities, the California Energy Commission's PIER Industrial Program initiated this project with two primary focus areas: First, to characterize current data center electricity use; and secondly, to develop a research ''roadmap'' defining and prioritizing possible future public interest research and deployment efforts that would improve energy efficiency. Although there are many opinions concerning the energy intensity of data centers and the aggregate effect on California's electrical power systems, there is very little publicly available information. Through this project, actual energy consumption at its end use was measured in a number of data centers. This benchmark data was documented in case study reports, along with site-specific energy efficiency recommendations. Additionally, other data center energy benchmarks were obtained through synergistic projects, prior PG&E studies, and industry contacts. In total, energy benchmarks for sixteen data centers were obtained. For this project, a broad definition of ''data center'' was adopted which included internet hosting, corporate, institutional, governmental, educational and other miscellaneous data centers. Typically these facilities require specialized infrastructure to provide high quality power and cooling for IT equipment. All of these data center types were considered in the development of an estimate of the total power consumption in California. Finally, a research ''roadmap'' was developed

  5. ERGC: an efficient referential genome compression algorithm.

    Science.gov (United States)

    Saha, Subrata; Rajasekaran, Sanguthevar

    2015-11-01

    Genome sequencing has become faster and more affordable. Consequently, the number of available complete genomic sequences is increasing rapidly. As a result, the cost to store, process, analyze and transmit the data is becoming a bottleneck for research and future medical applications. So, the need for devising efficient data compression and data reduction techniques for biological sequencing data is growing by the day. Although there exists a number of standard data compression algorithms, they are not efficient in compressing biological data. These generic algorithms do not exploit some inherent properties of the sequencing data while compressing. To exploit statistical and information-theoretic properties of genomic sequences, we need specialized compression algorithms. Five different next-generation sequencing data compression problems have been identified and studied in the literature. We propose a novel algorithm for one of these problems known as reference-based genome compression. We have done extensive experiments using five real sequencing datasets. The results on real genomes show that our proposed algorithm is indeed competitive and performs better than the best known algorithms for this problem. It achieves compression ratios that are better than those of the currently best performing algorithms. The time to compress and decompress the whole genome is also very promising. The implementations are freely available for non-commercial purposes. They can be downloaded from http://engr.uconn.edu/∼rajasek/ERGC.zip. rajasek@engr.uconn.edu. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  6. Energy functions for regularization algorithms

    Science.gov (United States)

    Delingette, H.; Hebert, M.; Ikeuchi, K.

    1991-01-01

    Regularization techniques are widely used for inverse problem solving in computer vision such as surface reconstruction, edge detection, or optical flow estimation. Energy functions used for regularization algorithms measure how smooth a curve or surface is, and to render acceptable solutions these energies must verify certain properties such as invariance with Euclidean transformations or invariance with parameterization. The notion of smoothness energy is extended here to the notion of a differential stabilizer, and it is shown that to void the systematic underestimation of undercurvature for planar curve fitting, it is necessary that circles be the curves of maximum smoothness. A set of stabilizers is proposed that meet this condition as well as invariance with rotation and parameterization.

  7. Energy-Efficient Neuromorphic Classifiers.

    Science.gov (United States)

    Martí, Daniel; Rigotti, Mattia; Seok, Mingoo; Fusi, Stefano

    2016-10-01

    Neuromorphic engineering combines the architectural and computational principles of systems neuroscience with semiconductor electronics, with the aim of building efficient and compact devices that mimic the synaptic and neural machinery of the brain. The energy consumptions promised by neuromorphic engineering are extremely low, comparable to those of the nervous system. Until now, however, the neuromorphic approach has been restricted to relatively simple circuits and specialized functions, thereby obfuscating a direct comparison of their energy consumption to that used by conventional von Neumann digital machines solving real-world tasks. Here we show that a recent technology developed by IBM can be leveraged to realize neuromorphic circuits that operate as classifiers of complex real-world stimuli. Specifically, we provide a set of general prescriptions to enable the practical implementation of neural architectures that compete with state-of-the-art classifiers. We also show that the energy consumption of these architectures, realized on the IBM chip, is typically two or more orders of magnitude lower than that of conventional digital machines implementing classifiers with comparable performance. Moreover, the spike-based dynamics display a trade-off between integration time and accuracy, which naturally translates into algorithms that can be flexibly deployed for either fast and approximate classifications, or more accurate classifications at the mere expense of longer running times and higher energy costs. This work finally proves that the neuromorphic approach can be efficiently used in real-world applications and has significant advantages over conventional digital devices when energy consumption is considered.

  8. Using energy efficiently

    International Nuclear Information System (INIS)

    Nipkow, J.; Brunner, C. U.

    2005-01-01

    This comprehensive article discusses the perspectives for reducing electricity consumption in Switzerland. The increase in consumption is discussed that has occurred in spite of the efforts of the Swiss national energy programmes 'Energy 2000' and 'SwissEnergy'. The fact that energy consumption is still on the increase although efficient and economically-viable technology is available is commented on. The authors are of the opinion that the market alone cannot provide a complete solution and that national and international efforts are needed to remedy things. In particular, the external costs that are often not included when estimating costs are stressed. Several technical options available, such as the use of fluorescent lighting, LCD monitors and efficient electric motors, are looked at as are other technologies quoted as being a means of reducing power consumption. Ways of reducing stand-by losses and system optimisation are looked at as are various scenarios for further development and measures that can be implemented in order to reduce power consumption

  9. Energy efficiency fallacies revisited

    International Nuclear Information System (INIS)

    Brookes, Leonard

    2000-01-01

    A number of governments including that of the UK subscribe to the belief that a national program devoted to raising energy efficiency throughout the economy provides a costless - indeed profitable - route to meeting international environmental obligations. This is a seductive policy. It constitutes the proverbial free lunch - not only avoiding politically unpopular measures like outlawing, taxing or rationing offending fuels or expanding non-carboniferous sources of energy like nuclear power but doing so with economic benefit. The author of this contribution came to doubt the validity of this solution when it was offered as a way of mitigating the effect of the OPEC price hikes of the 1970s, maintaining that economically justified improvement in energy efficiency led to higher levels of energy consumption at the economy-wide level than in the absence of any efficiency response. More fundamentally, he argues that there is no case for preferentially singling out energy, from among all the resources available to us, for efficiency maximisation. The least damaging policy is to determine targets, enact the restrictive measures needed to curb consumption, and then leave it to consumers - intermediate and final - to reallocate all the resources available to them to best effect subject to the new enacted constraints and any others they might be experiencing. There is no reason to suppose that it is right for all the economic adjustment following a new resource constraint to take the form of improvements in the productivity of that resource alone. As many others have argued, any action to impose resource constraint entails an inevitable economic cost in the shape of a reduction in production and consumption possibilities: there would be no free lunch. In the last few years debate about the validity of these contentions has blossomed, especially under the influence of writers on the western side of the Atlantic. In this contribution the author outlines the original arguments

  10. Efficient algorithms for conditional independence inference

    Czech Academy of Sciences Publication Activity Database

    Bouckaert, R.; Hemmecke, R.; Lindner, S.; Studený, Milan

    2010-01-01

    Roč. 11, č. 1 (2010), s. 3453-3479 ISSN 1532-4435 R&D Projects: GA ČR GA201/08/0539; GA MŠk 1M0572 Institutional research plan: CEZ:AV0Z10750506 Keywords : conditional independence inference * linear programming approach Subject RIV: BA - General Mathematics Impact factor: 2.949, year: 2010 http://library.utia.cas.cz/separaty/2010/MTR/studeny-efficient algorithms for conditional independence inference.pdf

  11. Highly Efficient Compression Algorithms for Multichannel EEG.

    Science.gov (United States)

    Shaw, Laxmi; Rahman, Daleef; Routray, Aurobinda

    2018-05-01

    The difficulty associated with processing and understanding the high dimensionality of electroencephalogram (EEG) data requires developing efficient and robust compression algorithms. In this paper, different lossless compression techniques of single and multichannel EEG data, including Huffman coding, arithmetic coding, Markov predictor, linear predictor, context-based error modeling, multivariate autoregression (MVAR), and a low complexity bivariate model have been examined and their performances have been compared. Furthermore, a high compression algorithm named general MVAR and a modified context-based error modeling for multichannel EEG have been proposed. The resulting compression algorithm produces a higher relative compression ratio of 70.64% on average compared with the existing methods, and in some cases, it goes up to 83.06%. The proposed methods are designed to compress a large amount of multichannel EEG data efficiently so that the data storage and transmission bandwidth can be effectively used. These methods have been validated using several experimental multichannel EEG recordings of different subjects and publicly available standard databases. The satisfactory parametric measures of these methods, namely percent-root-mean square distortion, peak signal-to-noise ratio, root-mean-square error, and cross correlation, show their superiority over the state-of-the-art compression methods.

  12. Renewable energy sources: Energy Efficiency Agency

    International Nuclear Information System (INIS)

    Bulgarensky, Mihael

    2004-01-01

    The paper presents the activities of the Energy Efficiency Agency, its main functions, as well as the new legislation stimulating the use of RES, stipulated in the new Energy Law of Bulgaria. The second part of the paper describes the potential of renewable energy in i.e. wind energy; solar energy; biomass energy; hydro energy; geothermal energy; draft of a National Program on RES 2005-2015. The third part describes the main issues of the new ENERGY EFFICIENCY LAW and the established Energy efficiency fund. (Author)

  13. Energy-balanced algorithm for RFID estimation

    Science.gov (United States)

    Zhao, Jumin; Wang, Fangyuan; Li, Dengao; Yan, Lijuan

    2016-10-01

    RFID has been widely used in various commercial applications, ranging from inventory control, supply chain management to object tracking. It is necessary for us to estimate the number of RFID tags deployed in a large area periodically and automatically. Most of the prior works use passive tags to estimate and focus on designing time-efficient algorithms that can estimate tens of thousands of tags in seconds. But for a RFID reader to access tags in a large area, active tags are likely to be used due to their longer operational ranges. But these tags use their own battery as energy supplier. Hence, conserving energy for active tags becomes critical. Some prior works have studied how to reduce energy expenditure of a RFID reader when it reads tags IDs. In this paper, we study how to reduce the amount of energy consumed by active tags during the process of estimating the number of tags in a system and make the energy every tag consumed balanced approximately. We design energy-balanced estimation algorithm that can achieve our goal we mentioned above.

  14. Energy Efficient Mobile Operating Systems

    OpenAIRE

    Muhammad Waseem

    2013-01-01

    Energy is an important resource in mobile computers now days. It is important to manage energy in efficient manner so that energy consumption will be reduced. Developers of operating system decided to increase the battery life time of mobile phones at operating system level. So, design of energy efficient mobile operating system is the best way to reduce the energy consumption in mobile devices. In this paper, currently used energy efficient mobile operating system is discussed and compared. ...

  15. Efficient scheduling request algorithm for opportunistic wireless access

    KAUST Repository

    Nam, Haewoon; Alouini, Mohamed-Slim

    2011-01-01

    An efficient scheduling request algorithm for opportunistic wireless access based on user grouping is proposed in this paper. Similar to the well-known opportunistic splitting algorithm, the proposed algorithm initially adjusts (or lowers

  16. ENERGY EFFICIENT DESALINATOR

    Directory of Open Access Journals (Sweden)

    T. A. Ismailov

    2017-01-01

    Full Text Available Objectives. The aim of the research is to develop a thin-film semiconductor thermoelectric heat pump of cylindrical shape for the desalination of sea water.Methods. To improve the efficiency of the desalination device, a  special thin-film semiconductor thermoelectric heat pump of  cylindrical shape is developed. The construction of the thin-film  semiconductor thermoelectric heat pump allows the flow rates of  incoming sea water and outflowing fresh water and brine to be  equalised by changing the geometric dimensions of the desalinator.  The cross-sectional area of the pipeline for incoming sea water is equal to the total area of outflowing fresh water and brine.Results. The use of thin-film semiconductor p- and n-type branches  in a thermo-module reduces their electrical resistance virtually to  zero and completely eliminates Joule's parasitic heat release. The  Peltier thermoelectric effect on heating and cooling is completely  preserved, bringing the efficiency of the heat pump to almost 100%, improving the energy-saving characteristics of the  desalinator as a whole. To further increase the efficiency of the  proposed desalinator, thermoelectric modules with radiation can be  used as thermoelectric devices.Conclusion. As a consequence of the creation of conditions of high rarefaction under which water will be converted to steam, which, at  20° C, is cold (as is the condensed distilled water, energy costs can  be reduced. In this case, the energy for heating and cooling is not  wasted; moreover, sterilisation is also achieved using the ultraviolet  radiation used in the thermoelectric devices, which, on the one hand, generate electromagnetic ultraviolet radiation, and, on the other, cooling. Such devices operate in optimal mode without heat  release. The desalination device can be used to produce fresh water and concentrated solutions from any aqueous solutions, including wastewater from industrial

  17. An efficient control algorithm for nonlinear systems

    International Nuclear Information System (INIS)

    Sinha, S.

    1990-12-01

    We suggest a scheme to step up the efficiency of a recently proposed adaptive control algorithm, which is remarkably effective for regulating nonlinear systems. The technique involves monitoring of the ''stiffness of control'' to get maximum gain while maintaining a predetermined accuracy. The success of the procedure is demonstrated for the case of the logistic map, where we show that the improvement in performance is often factors of tens, and for small control stiffness, even factors of hundreds. (author). 4 refs, 1 fig., 1 tab

  18. Energy efficiency in Swedish industry

    International Nuclear Information System (INIS)

    Zhang, Shanshan; Lundgren, Tommy; Zhou, Wenchao

    2016-01-01

    This paper assesses energy efficiency in Swedish industry. Using unique firm-level panel data covering the years 2001–2008, the efficiency estimates are obtained for firms in 14 industrial sectors by using data envelopment analysis (DEA). The analysis accounts for multi-output technologies where undesirable outputs are produced alongside with the desirable output. The results show that there was potential to improve energy efficiency in all the sectors and relatively large energy inefficiencies existed in small energy-use industries in the sample period. Also, we assess how the EU ETS, the carbon dioxide (CO_2) tax and the energy tax affect energy efficiency by conducting a second-stage regression analysis. To obtain consistent estimates for the regression model, we apply a modified, input-oriented version of the double bootstrap procedure of Simar and Wilson (2007). The results of the regression analysis reveal that the EU ETS and the CO_2 tax did not have significant influences on energy efficiency in the sample period. However, the energy tax had a positive relation with the energy efficiency. - Highlights: • We use DEA to estimate firm-level energy efficiency in Swedish industry. • We examine impacts of climate and energy policies on energy efficiency. • The analyzed policies are Swedish carbon and energy taxes and the EU ETS. • Carbon tax and EU ETS did not have significant influences on energy efficiency. • The energy tax had a positive relation with energy efficiency.

  19. A Traffic Prediction Algorithm for Street Lighting Control Efficiency

    Directory of Open Access Journals (Sweden)

    POPA Valentin

    2013-01-01

    Full Text Available This paper presents the development of a traffic prediction algorithm that can be integrated in a street lighting monitoring and control system. The prediction algorithm must enable the reduction of energy costs and improve energy efficiency by decreasing the light intensity depending on the traffic level. The algorithm analyses and processes the information received at the command center based on the traffic level at different moments. The data is collected by means of the Doppler vehicle detection sensors integrated within the system. Thus, two methods are used for the implementation of the algorithm: a neural network and a k-NN (k-Nearest Neighbor prediction algorithm. For 500 training cycles, the mean square error of the neural network is 9.766 and for 500.000 training cycles the error amounts to 0.877. In case of the k-NN algorithm the error increases from 8.24 for k=5 to 12.27 for a number of 50 neighbors. In terms of a root means square error parameter, the use of a neural network ensures the highest performance level and can be integrated in a street lighting control system.

  20. Energy Efficiency in Swimming Facilities

    OpenAIRE

    Kampel, Wolfgang

    2015-01-01

    High and increasing energy use is a worldwide issue that has been reported and documented in the literature. Various studies have been performed on renewable energy and energy efficiency to counteract this trend. Although using renewable energy sources reduces pollution, improvements in energy efficiency reduce total energy use and protect the environment from further damage. In Europe, 40 % of the total energy use is linked to buildings, making them a main objective concerning...

  1. Energy Efficiency in Self Organising Networks

    DEFF Research Database (Denmark)

    Kisielius, Edvinas; Popovska Avramova, Andrijana; Zakrzewska, Anna

    2013-01-01

    We evaluate the performance of an energy efficient algorithm that controls power emissions and the number of powered cell sites (eNBs) in overlaid Long Term Evolution (LTE) networks. Simulations are carried out in OPNET Modeler and we investigate cells cites designed to meet peak hours trac demand...

  2. An efficient dynamic load balancing algorithm

    Science.gov (United States)

    Lagaros, Nikos D.

    2014-01-01

    In engineering problems, randomness and uncertainties are inherent. Robust design procedures, formulated in the framework of multi-objective optimization, have been proposed in order to take into account sources of randomness and uncertainty. These design procedures require orders of magnitude more computational effort than conventional analysis or optimum design processes since a very large number of finite element analyses is required to be dealt. It is therefore an imperative need to exploit the capabilities of computing resources in order to deal with this kind of problems. In particular, parallel computing can be implemented at the level of metaheuristic optimization, by exploiting the physical parallelization feature of the nondominated sorting evolution strategies method, as well as at the level of repeated structural analyses required for assessing the behavioural constraints and for calculating the objective functions. In this study an efficient dynamic load balancing algorithm for optimum exploitation of available computing resources is proposed and, without loss of generality, is applied for computing the desired Pareto front. In such problems the computation of the complete Pareto front with feasible designs only, constitutes a very challenging task. The proposed algorithm achieves linear speedup factors and almost 100% speedup factor values with reference to the sequential procedure.

  3. Automatic control algorithm effects on energy production

    Science.gov (United States)

    Mcnerney, G. M.

    1981-01-01

    A computer model was developed using actual wind time series and turbine performance data to simulate the power produced by the Sandia 17-m VAWT operating in automatic control. The model was used to investigate the influence of starting algorithms on annual energy production. The results indicate that, depending on turbine and local wind characteristics, a bad choice of a control algorithm can significantly reduce overall energy production. The model can be used to select control algorithms and threshold parameters that maximize long term energy production. The results from local site and turbine characteristics were generalized to obtain general guidelines for control algorithm design.

  4. Energy conservation, efficiency and energy audit

    International Nuclear Information System (INIS)

    Sharma, R.A.

    2006-01-01

    In this paper the author discusses the conservation, efficiency, audit, fundamentals, differences and methods, the objectives of energy conservation, definitions of energy audit, scope, short term, medium term and long term measures to be taken for conservation are discussed

  5. Efficient predictive algorithms for image compression

    CERN Document Server

    Rosário Lucas, Luís Filipe; Maciel de Faria, Sérgio Manuel; Morais Rodrigues, Nuno Miguel; Liberal Pagliari, Carla

    2017-01-01

    This book discusses efficient prediction techniques for the current state-of-the-art High Efficiency Video Coding (HEVC) standard, focusing on the compression of a wide range of video signals, such as 3D video, Light Fields and natural images. The authors begin with a review of the state-of-the-art predictive coding methods and compression technologies for both 2D and 3D multimedia contents, which provides a good starting point for new researchers in the field of image and video compression. New prediction techniques that go beyond the standardized compression technologies are then presented and discussed. In the context of 3D video, the authors describe a new predictive algorithm for the compression of depth maps, which combines intra-directional prediction, with flexible block partitioning and linear residue fitting. New approaches are described for the compression of Light Field and still images, which enforce sparsity constraints on linear models. The Locally Linear Embedding-based prediction method is in...

  6. Efficiency Evaluation of Energy Systems

    CERN Document Server

    Kanoğlu, Mehmet; Dinçer, İbrahim

    2012-01-01

    Efficiency is one of the most frequently used terms in thermodynamics, and it indicates how well an energy conversion or process is accomplished. Efficiency is also one of the most frequently misused terms in thermodynamics and is often a source of misunderstanding. This is because efficiency is often used without being properly defined first. This book intends to provide a comprehensive evaluation of various efficiencies used for energy transfer and conversion systems including steady-flow energy devices (turbines, compressors, pumps, nozzles, heat exchangers, etc.), various power plants, cogeneration plants, and refrigeration systems. The book will cover first-law (energy based) and second-law (exergy based) efficiencies and provide a comprehensive understanding of their implications. It will help minimize the widespread misuse of efficiencies among students and researchers in energy field by using an intuitive and unified approach for defining efficiencies. The book will be particularly useful for a clear ...

  7. Energy efficiency: Lever for the Energy Transition

    International Nuclear Information System (INIS)

    2012-12-01

    The Eco-electric industry group (FFIE, FGME, Gimelec, IGNES, SERCE) has conducted a study to evaluate the energy saving potential of active energy efficiency solutions in the residential and commercial building sectors. Based on field implementations and demonstrators, it has been demonstrated that active energy efficiency can sustainably achieve substantial savings for households, companies and public authorities. Energy Efficiency - Lever for the energy transition presents the results and conclusions of that study, alongside with recommendations for public authority in terms of building retrofit policy for putting France on the best possible 'trajectory' from a budgetary and environmental point of view. (author)

  8. Energy efficient lighting

    International Nuclear Information System (INIS)

    Aslam, M.

    1992-01-01

    The main sources of Pakistan's energy supply are oil, natural gas, coal, hydro power, nuclear power and liquefied petroleum gas. At present 75 % of total energy delivered is met through oil and gas. The limited resources and financial constraints have proved to be stumbling block in the way of prosperity and economics stability. Lighting is a conspicuous consumer of energy and thus an easy prey for saving drives which is indeed a very promising target for energy saving. (A.B.)

  9. Energy Efficient Televisions

    DEFF Research Database (Denmark)

    Andersen, Rikke Dorothea; Remmen, Arne

    The EuP Directive sets the frame for implementing ecodesign requirements for energy-using and energy-related products. The aim of the Directive is to achieve a high level of protection for the environment by reducing the potential environmental impact of energy-related products. The focus...

  10. Saving time in a space-efficient simulation algorithm

    NARCIS (Netherlands)

    Markovski, J.

    2011-01-01

    We present an efficient algorithm for computing the simulation preorder and equivalence for labeled transition systems. The algorithm improves an existing space-efficient algorithm and improves its time complexity by employing a variant of the stability condition and exploiting properties of the

  11. Energy efficiency: 2004 world overview

    International Nuclear Information System (INIS)

    2004-01-01

    Since 1992 the World Energy Council (WEC) has been collaborating with ADEME (Agency for Environment and Energy Efficiency, France) on a joint project 'Energy Efficiency Policies and Indicators'. APERC (Asia Pacific Energy Research Centre) and OLADE (Latin American Energy Organisation) have also participated in the study, which has been monitoring and evaluating energy efficiency policies and their impacts around the world. WEC Member Committees have been providing data and information and ENERDATA (France) has provided technical assistance. This report, published in August 2004, presents and evaluates energy efficiency policies in 63 countries, with a specific focus on five policy measures, for which in-depth case studies were prepared by selected experts: - Minimum energy efficiency standards for household electrical appliances; - Innovative energy efficiency funds; - Voluntary/negotiated agreements on energy efficiency/ CO 2 ; - Local energy information centres; - Packages of measures. In particular, the report identifies the policy measures, which have proven to be the most effective, and can be recommended to countries which have recently embarked on the development and implementation of energy demand management policies. During the past ten years, the Kyoto Protocol and, more recently, emerging concerns about security of supply have raised, both the public and the political profile of energy efficiency. Almost all OECD countries and an increasing number of other countries are implementing energy efficiency policies adapted to their national circumstances. In addition to the market instruments (voluntary agreements, labels, information, etc.), regulatory measures are widely introduced where the market fails to give the right signals (buildings, appliances). In developing countries, energy efficiency is equally important, even if the drivers are different compared to industrialized countries. Reduction of greenhouse gas emissions and local pollution often have a

  12. Energy efficiency: utopia or reality?

    International Nuclear Information System (INIS)

    Anon.

    2006-01-01

    In its 2006 allocution the world council on the energy WEC, analyzes the role of the energy efficiency in the energy life cycle. In spite of different objectives followed by the developing and developed countries, implement a world energy efficiency economy is a challenge possible by the cooperation.The WEC is an ideal forum for the information and experience exchange. (A.L.B.)

  13. On the efficiency of chaos optimization algorithms for global optimization

    International Nuclear Information System (INIS)

    Yang Dixiong; Li Gang; Cheng Gengdong

    2007-01-01

    Chaos optimization algorithms as a novel method of global optimization have attracted much attention, which were all based on Logistic map. However, we have noticed that the probability density function of the chaotic sequences derived from Logistic map is a Chebyshev-type one, which may affect the global searching capacity and computational efficiency of chaos optimization algorithms considerably. Considering the statistical property of the chaotic sequences of Logistic map and Kent map, the improved hybrid chaos-BFGS optimization algorithm and the Kent map based hybrid chaos-BFGS algorithm are proposed. Five typical nonlinear functions with multimodal characteristic are tested to compare the performance of five hybrid optimization algorithms, which are the conventional Logistic map based chaos-BFGS algorithm, improved Logistic map based chaos-BFGS algorithm, Kent map based chaos-BFGS algorithm, Monte Carlo-BFGS algorithm, mesh-BFGS algorithm. The computational performance of the five algorithms is compared, and the numerical results make us question the high efficiency of the chaos optimization algorithms claimed in some references. It is concluded that the efficiency of the hybrid optimization algorithms is influenced by the statistical property of chaotic/stochastic sequences generated from chaotic/stochastic algorithms, and the location of the global optimum of nonlinear functions. In addition, it is inappropriate to advocate the high efficiency of the global optimization algorithms only depending on several numerical examples of low-dimensional functions

  14. Advanced energy efficient windows

    DEFF Research Database (Denmark)

    Thomsen, Kirsten Engelund

    2007-01-01

    Windows should be paid special attention as they contribute a significant part of the total heat-loss coefficient of the building. Contrary to other parts of the thermal envelope the windows are not only heat loosers, but may gain heat in the day-time. Therefore there are possibilities for large...... energy savings. In terms of energy, windows occupy a special position compared with other thermal envelope structures due to their many functions: 1) windows let daylight into the building and provide occupants with visual contact with their surroundings 2) windows protect against the outdoor climate 3......) windows transmit solar energy that may contribute to a reduction of energy consumption, but which may also lead to unpleasant overheating. In the following paragraphs the current use of windows is reviewed with an emphasis on energy, while special products like solar protection glazing and security...

  15. USSR energy efficiency and prospects

    International Nuclear Information System (INIS)

    Sinyak, Y.

    1991-06-01

    The U.S.S.R. is the largest energy producer and the second largest energy consumer in the world. Its share of global energy use reached above 17% in 1988. The soviet energy system is characterized by low efficiency and high per capita energy consumption, although there are some reasons justifying the greater U.S.S.R. energy use per unit of product output than in other industrialized countries. The present energy-savings potential is approximately equal to one-half of the domestic energy consumption. Improvements in energy efficiency at all levels of the national economy are now considered to be the primary goal of national energy policy for the next couple of decades. Being endowed with abundant natural gas resources, the U.S.S.R. will count on this energy source in the future to improve its energy efficiency, reduce expenses and cope with air pollution. After 2005-2010, stabilized primary energy consumption may be reached or there may even be a decline of total energy use. The U.S.S.R. could reduce CO 2 emissions by 20% by 2030 but with substantial negative impacts on GNP growth. Required improvements in the Soviet energy system depend on changes in energy management, including reduction of the role of centralized planning, decentralization and privatization of energy-producing facilities, energy-price reforms, reshaping of investment patterns, reduction in military expenditures, etc. (author)

  16. Is energy efficiency environmentally friendly?

    Energy Technology Data Exchange (ETDEWEB)

    Herring, H. [Open University, Milton Keynes (United Kingdom). Energy and Environment Research Unit

    2000-07-01

    The paper challenges the view that improving the efficiency of energy use will lead to a reduction in national energy consumption, and hence is an effective policy for reducing CO{sub 2} emissions. It argues that improving energy efficiency lowers the implicit price of energy and hence makes its use more affordable, thus leading to greater use. The paper presents the views of economists, as well as green critics of 'efficiency' and the 'dematerialization' thesis. It argues that a more effective CO{sub 2} policy is to concentrate on shifting to non-fossil fuel, like renewables, subsidized through a carbon tax. Ultimately what is needed, to limit energy consumption is energy conservation not energy efficiency. 44 refs.

  17. 78 FR 48855 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2013-08-12

    ... Administration Renewable Energy and Energy Efficiency Advisory Committee AGENCY: International Trade... the international competitiveness of the U.S. renewable energy and energy efficiency industries. The... Renewable Energy and Energy Efficiency Advisory Committee, Attention: Ryan Mulholland, Office of Energy and...

  18. Energy efficiency policies and measures

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2002-07-01

    This document makes a review of the energy efficiency and demand side management (DSM) policies and measures in European Union countries and Norway in 1999: institutional changes, measures and programmes, budget, taxation, existence of a national DSM programme, national budgets for DSM programmes, electricity pricing: energy/environment tax, national efficiency standards and regulation for new electrical appliances, implementation of Commission directives, efficiency requirements, labelling, fiscal and economic incentives. (J.S.)

  19. Energy efficiency, renewable energy and sustainable development

    Energy Technology Data Exchange (ETDEWEB)

    Ervin, C.A.

    1994-12-31

    The Office of Energy Efficiency and Renewable Energy (EE) is part of the U.S. Department of Energy that is specifically charged with encouraging the more efficient use of energy resources, and the use of renewable energy resources - such as solar power, wind power, biomass energy and geothermal energy. In the past several years, EE has increased its emphasis on technology deployment through partnerships with states, local governments and private companies. Partnerships move new discoveries more quickly into the marketplace, where they can create jobs, prevent pollution, save resources, and produce many other benefits. The author then emphasizes the importance of this effort in a number of different sections of the paper: energy consumption pervades everything we do; U.S. energy imports are rising to record levels; transportation energy demand is increasing; U.S. energy use is increasing; population growth increases world energy demand; total costs of energy consumption aren`t always counted; world energy markets offer incredible potential; cost of renewables is decreasing; clean energy is essential to sustainable development; sustainable energy policy; sustainable energy initiatives: utilities, buildings, and transportation.

  20. Energy efficiency, renewable energy and sustainable development

    International Nuclear Information System (INIS)

    Ervin, C.A.

    1994-01-01

    The Office of Energy Efficiency and Renewable Energy (EE) is part of the U.S. Department of Energy that is specifically charged with encouraging the more efficient use of energy resources, and the use of renewable energy resources - such as solar power, wind power, biomass energy and geothermal energy. In the past several years, EE has increased its emphasis on technology deployment through partnerships with states, local governments and private companies. Partnerships move new discoveries more quickly into the marketplace, where they can create jobs, prevent pollution, save resources, and produce many other benefits. The author then emphasizes the importance of this effort in a number of different sections of the paper: energy consumption pervades everything we do; U.S. energy imports are rising to record levels; transportation energy demand is increasing; U.S. energy use is increasing; population growth increases world energy demand; total costs of energy consumption aren't always counted; world energy markets offer incredible potential; cost of renewables is decreasing; clean energy is essential to sustainable development; sustainable energy policy; sustainable energy initiatives: utilities, buildings, and transportation

  1. Effective education for energy efficiency

    International Nuclear Information System (INIS)

    Zografakis, Nikolaos; Menegaki, Angeliki N.; Tsagarakis, Konstantinos P.

    2008-01-01

    A lot of today's world vices can be eliminated if certain targeted modules and adapted curricula are introduced in the schooling system. One of these vices is energy squandering with all its negative consequences for the planet (e.g. depletion of finite energy sources and the subsequent climate change). This paper describes the results of an energy-thrift information and education project taking place in different levels of education in Crete-Greece, which records 321 students' and their parents' routine energy-related behavior and proves that this behavior changes to a more energy efficient one, after the dissemination of relevant information and the participation into the energy education projects. Namely, response percentages indicating the energy-efficient behavior increased after project participation while the ones indicating an energy-squandering behavior decreased. The Wilcoxon signed rank test was statistically significant in all energy behavior questions related to students and to most questions related to parents

  2. Energy sustainability: consumption, efficiency, and ...

    Science.gov (United States)

    One of the critical challenges in achieving sustainability is finding a way to meet the energy consumption needs of a growing population in the face of increasing economic prosperity and finite resources. According to ecological footprint computations, the global resource consumption began exceeding planetary supply in 1977 and by 2030, global energy demand, population, and gross domestic product are projected to greatly increase over 1977 levels. With the aim of finding sustainable energy solutions, we present a simple yet rigorous procedure for assessing and counterbalancing the relationship between energy demand, environmental impact, population, GDP, and energy efficiency. Our analyses indicated that infeasible increases in energy efficiency (over 100 %) would be required by 2030 to return to 1977 environmental impact levels and annual reductions (2 and 3 %) in energy demand resulted in physical, yet impractical requirements; hence, a combination of policy and technology approaches is needed to tackle this critical challenge. This work emphasizes the difficulty in moving toward energy sustainability and helps to frame possible solutions useful for policy and management. Based on projected energy consumption, environmental impact, human population, gross domestic product (GDP), and energy efficiency, for this study, we explore the increase in energy-use efficiency and the decrease in energy use intensity required to achieve sustainable environmental impact le

  3. An efficient algorithm for weighted PCA

    NARCIS (Netherlands)

    Krijnen, W.P.; Kiers, H.A.L.

    1995-01-01

    The method for analyzing three-way data where one of the three components matrices in TUCKALS3 is chosen to have one column is called Replicated PCA. The corresponding algorithm is relatively inefficient. This is shown by offering an alternative algorithm called Weighted PCA. Specifically it is

  4. Energy efficiency initiatives: Indian experience

    Energy Technology Data Exchange (ETDEWEB)

    Dey, Dipankar [ICFAI Business School, Kolkata, (IBS-K) (India)

    2007-07-01

    India, with a population of over 1.10 billion is one of the fastest growing economies of the world. As domestic sources of different conventional commercial energy are drying up, dependence on foreign energy sources is increasing. There exists a huge potential for saving energy in India. After the first 'oil shock' (1973), the government of India realized the need for conservation of energy and a 'Petroleum Conservation Action Group' was formed in 1976. Since then many initiatives aiming at energy conservation and improving energy efficiency, have been undertaken (the establishment of Petroleum Conservation Research Association in 1978; the notification of Eco labelling scheme in 1991; the formation of Bureau of Energy Efficiency in 2002). But no such initiative was successful. In this paper an attempt has been made to analyze the changing importance of energy conservation/efficiency measures which have been initiated in India between 1970 and 2005.The present study tries to analyze the limitations and the reasons of failure of those initiatives. The probable reasons are: fuel pricing mechanism (including subsidies), political factors, corruption and unethical practices, influence of oil and related industry lobbies - both internal and external, the economic situation and the prolonged protection of domestic industries. Further, as India is opening its economy, the study explores the opportunities that the globally competitive market would offer to improve the overall energy efficiency of the economy. The study suggests that the Bureau of Energy Efficiency (BEE) - the newly formed nodal agency for improving energy efficiency of the economy may be made an autonomous institution where intervention from the politicians would be very low. For proper implementation of different initiatives to improve energy efficiency, BEE should involve more the civil societies (NGO) from the inception to the implementation stage of the programs. The paper also

  5. A subzone reconstruction algorithm for efficient staggered compatible remapping

    Energy Technology Data Exchange (ETDEWEB)

    Starinshak, D.P., E-mail: starinshak1@llnl.gov; Owen, J.M., E-mail: mikeowen@llnl.gov

    2015-09-01

    Staggered-grid Lagrangian hydrodynamics algorithms frequently make use of subzonal discretization of state variables for the purposes of improved numerical accuracy, generality to unstructured meshes, and exact conservation of mass, momentum, and energy. For Arbitrary Lagrangian–Eulerian (ALE) methods using a geometric overlay, it is difficult to remap subzonal variables in an accurate and efficient manner due to the number of subzone–subzone intersections that must be computed. This becomes prohibitive in the case of 3D, unstructured, polyhedral meshes. A new procedure is outlined in this paper to avoid direct subzonal remapping. The new algorithm reconstructs the spatial profile of a subzonal variable using remapped zonal and nodal representations of the data. The reconstruction procedure is cast as an under-constrained optimization problem. Enforcing conservation at each zone and node on the remapped mesh provides the set of equality constraints; the objective function corresponds to a quadratic variation per subzone between the values to be reconstructed and a set of target reference values. Numerical results for various pure-remapping and hydrodynamics tests are provided. Ideas for extending the algorithm to staggered-grid radiation-hydrodynamics are discussed as well as ideas for generalizing the algorithm to include inequality constraints.

  6. China's energy efficiency target 2010

    International Nuclear Information System (INIS)

    Yang Ming

    2008-01-01

    The Chinese government has set an ambitious target: reducing China's energy intensity by 20%, or 4.36% each year between 2006 and 2010 on the 2005 level. Real data showed that China missed its target in 2006, having reduced its energy intensity only by 1.3%. The objective of this study is to evaluate the feasibility and potential of the Chinese to achieve the target. This paper presents issues of macro-economy, population migration, energy savings, and energy efficiency policy measures to achieve the target. A top-down approach was used to analyse the relationship between the Chinese economic development and energy demand cycles and to identify the potentials of energy savings in sub-sectors of the Chinese economy. A number of factors that contribute to China's energy intensity are identified in a number of energy-intensive sectors. This paper concludes that China needs to develop its economy at its potential GDP growth rate; strengthen energy efficiency auditing, monitoring and verification; change its national economy from a heavy-industry-dominated mode to a light industry or a commerce-dominated mode; phase out inefficient equipment in industrial sectors; develop mass and fast railway transportation; and promote energy-efficient technologies at the end use. This paper transfers key messages to policy makers for designing their policy to achieve China's energy efficiency target

  7. Polish Foundation for Energy Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-12-31

    The Polish Foundation for Energy Efficiency (FEWE) was established in Poland at the end of 1990. FEWE, as an independent and non-profit organization, has the following objectives: to strive towards an energy efficient national economy, and to show the way and methods by use of which energy efficiency can be increased. The activity of the Foundation covers the entire territory of Poland through three regional centers: in Warsaw, Katowice and Cracow. FEWE employs well-known and experienced specialists within thermal and power engineering, civil engineering, economy and applied sciences. The organizer of the Foundation has been Battelle Memorial Institute - Pacific Northwest Laboratories from the USA.

  8. Efficient algorithms of multidimensional γ-ray spectra compression

    International Nuclear Information System (INIS)

    Morhac, M.; Matousek, V.

    2006-01-01

    The efficient algorithms to compress multidimensional γ-ray events are presented. Two alternative kinds of compression algorithms based on both the adaptive orthogonal and randomizing transforms are proposed. In both algorithms we employ the reduction of data volume due to the symmetry of the γ-ray spectra

  9. Energy planning and energy efficiency assistance

    Energy Technology Data Exchange (ETDEWEB)

    Markel, L. [Electrotek Concepts, Inc., Knoxville, TN (United States)

    1995-12-31

    Electrotek is an engineering services company specializing in energy-related programs. Clients are most utilities, large energy users, and the U.S. Electric Power Research Institute. Electrotek has directed energy projects for the U.S. Agency for International Development and the U.S. Department of Energy in Poland and other countries of Central Europe. The objective is to assist the host country organizations to identify and implement appropriate energy efficiency and pollution reduction technologies, to transfer technical and organizational knowledge, so that further implementations are market-driven, without needed continuing foreign investment. Electrotek has worked with the Silesian Power Distribution Company to design an energy efficiency program for industrial customers that has proven to be profitable for the company and for its customers. The program has both saved energy and costs, and reduced pollution. The program is expanding to include additional customers, without needing more funding from the U.S. government.

  10. Software Cuts Homebuilding Costs, Increases Energy Efficiency

    Science.gov (United States)

    2015-01-01

    To sort out the best combinations of technologies for a crewed mission to Mars, NASA Headquarters awarded grants to MIT's Department of Aeronautics and Astronautics to develop an algorithm-based software tool that highlights the most reliable and cost-effective options. Utilizing the software, Professor Edward Crawley founded Cambridge, Massachussetts-based Ekotrope, which helps homebuilders choose cost- and energy-efficient floor plans and materials.

  11. ALGORITHM TO CHOOSE ENERGY GENERATION MULTIPLE ROLE STATION

    Directory of Open Access Journals (Sweden)

    Alexandru STĂNESCU

    2014-05-01

    Full Text Available This paper proposes an algorithm that is based on a complex analysis method that is used for choosing the configuration of a power station. The station generates electric energy and hydrogen, and serves a "green" highway. The elements that need to be considered are: energy efficiency, location, availability of primary energy sources in the area, investment cost, workforce, environmental impact, compatibility with existing systems, meantime between failure.

  12. Energy Efficiency Governance

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2010-07-01

    The purpose of this report is to help EE practitioners, government officials and stakeholders to establish the most effective EE governance structures, given their specific country context. It also aims to provide readers with relevant and accessible information to support the development of comprehensive and effective governance mechanisms. The International Energy Agency (IEA) conducted a global review of many elements of EE governance,including legal frameworks, institutional frameworks, funding mechanisms, co-ordination mechanisms and accountability arrangements, such as evaluation and oversight. The research tools included a survey of over 500 EE experts in 110 countries, follow-up interviews of over 120 experts in 27 countries and extensive desk study and literature searches on good EE governance.

  13. Energy Efficiency in Future PONs

    DEFF Research Database (Denmark)

    Reschat, Halfdan; Laustsen, Johannes Russell; Wessing, Henrik

    2012-01-01

    There is a still increasing tendency to give energy efficiency a high priority, even in already low energy demanding systems. This is also the case for Passive Optical Networks (PONs) for which many different methods for saving energy are proposed. This paper uses simulations to evaluate three...... proposed power saving solutions for PONs which use sleep mechanisms for saving power. The discovered advantages and disadvantages of these methods are then used as a basis for proposing a new solution combining different techniques in order to increase the energy efficiency further. This novel solution...

  14. Energy efficiency: potentials and profits

    International Nuclear Information System (INIS)

    Sigaud, J.B.

    2011-01-01

    In this work, Jean-Marie Bouchereau (ADEME) has presented a review of the energy efficiency profits in France during the last 20 years and the prospects from now to 2020. Then, Geoffrey Woodward (TOTAL) and Sebastien Huchette (AXENS) have recalled the stakes involved in the energy efficiency of the upstream and downstream sectors respectively and presented examples of advances approaches illustrated by concrete cases of applications. (O.M.)

  15. Increased energy efficiency of hobs

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-01-01

    The objective of the project is to save energy when cooking food on hobs. A great part of the total energy consumption used for cooking is consumed by hobs. The amount of energy depends on the temperature used for cooking and energy used for evaporation of liquid, focussing especially on the latter in this project. CHEC B is a method for controlling the supply of energy to the zone, so that a minimum of energy is used for reaching a set temperature of the food/liquid in the pot and maintaining this temperature. Today the efficiency of hobs is between 50 - 75%. Using CHEC B the energy efficiency is expected to be higher. (au)

  16. Energy Efficiency: Finding Leadership Opportunities

    Directory of Open Access Journals (Sweden)

    William Rosehart

    2014-01-01

    Full Text Available Between 1995 and 2011, the population of Alberta increased by roughly 40 per cent, but energy use in the province grew much faster, with a 62 per cent increase over the same period. In the industrial sector, the province’s largest energy consumer, demands grew 110 per cent. In mining and oil-and-gas extraction specifically, energy use over that period soared, growing by 355 per cent. That remarkable growth in energy consumption creates a particular challenge for Alberta Premier Alison Redford, who in 2011 ordered her ministers to develop a plan that “would make Alberta the national leader in energy efficiency and sustainability.” The province is still waiting. The incentives to become more energy efficient are not particularly strong in Alberta. The province’s terrain and size favour larger and less-efficient vehicles. Energy in the province is abundant, so there is little cause for concern over energy security. And energy is relatively affordable, particularly for a population that is more affluent than the Canadian average. There is little pressure on Albertans to radically alter their energy consumption behaviour. Yet, improved energy efficiency could position businesses in Alberta to become even more globally competitive, in addition to leading to improved air quality and public health. And for a province racing to keep up with growing energy demand, effective measures that promote conservation will prove much cheaper than adding yet more expensive infrastructure to the energy network. Many other jurisdictions have already provided examples of methods Alberta could employ to effectively promote energy conservation. First, Alberta must set hard targets for its goals to save energy, and then monitor that progress through transparent accounting, measuring and reporting. The provincial government can also nurture a culture of energy conservation, by formally and publicly recognizing leadership in efficiency improvements in industry and

  17. Cleanroom Energy Efficiency Workshop Proceedings

    Energy Technology Data Exchange (ETDEWEB)

    Tschudi, Bill

    1999-03-15

    On March 15, 1999, Lawrence Berkeley National Laboratory hosted a workshop focused on energy efficiency in Cleanroom facilities. The workshop was held as part of a multiyear effort sponsored by the California Institute for Energy Efficiency, and the California Energy Commission. It is part of a project that concentrates on improving energy efficiency in Laboratory type facilities including cleanrooms. The project targets the broad market of laboratory and cleanroom facilities, and thus cross-cuts many different industries and institutions. This workshop was intended to raise awareness by sharing case study success stories, providing a forum for industry networking on energy issues, contributing LBNL expertise in research to date, determining barriers to implementation and possible solutions, and soliciting input for further research.

  18. Energy - efficient buildings in pakistan

    International Nuclear Information System (INIS)

    Sohail, M.; Qureshi, M.U.D.

    2011-01-01

    Pakistan is one of the countries with the highest energy consumption for domestic use. Annual energy consumption by the domestic sector is 45.9 % of the total, while the industrial sector, consumes about 27.5%. About half of the total energy consumed is used in buildings and/or heating, ventilation and air-conditioning (HVAC) and lighting appliances. The energy consumed for the same purposes in China and UK is 25 to 30 % and 40 %, respectively, even in extreme weather conditions. Energy deficiency in Pakistan is approximately 5,000 MWe, which results in worst load-shedding in summers and, lately, even in winters. Building new energy sources like dams, coal power plants and renewable energy power projects are some possible solutions, but these are time taking and need at least 2 to 6 years to complete, depending upon the nature of the project. Fast development of energy-efficient buildings is, therefore, necessary to deal with exacerbating energy-crisis and related environmental impact in Pakistan. Innovations in the prevailing building-design will help the country in reducing the energy burden. These innovations may include improved architectural designs, energy-efficient building materials, electrical appliances and implementation of building energy-efficiency codes. In 1987, the National Energy Conservation Centre (ENERCON), was established under Ministry of Environment, Government of Pakistan, with the aim to build awareness among the masses for energy conservation, and to make policies regarding energy-conservation structures in the country. But no policy regarding building energy codes has been introduced by ENERCON till now. In collaboration with Pakistan Engineering Council (PEC), ENERCON has recently finalized the Building Energy Code of Pakistan Energy Provisions 2011 for which statutory notification is under process for necessary amendment in the building by-laws. The implementation of this Energy Code will result in 25 to 30 % of energy savings in the

  19. Energy efficiency opportunities in Hotels

    Directory of Open Access Journals (Sweden)

    Dina Said

    2017-03-01

    Full Text Available According to the statistics in Egypt (2013, the number of hotels is 1193, about 407 of them have contracted power greater than 500 kW.Air conditioning, lighting, water heating and refrigeration represent the main activities demanding electrical energy in hotel business.The energy consumption per night spend changes a lot, depending on various factors; facilities provided, category of hotel, occupancy , geographical situation, weather conditions, nationality of clients, design and control of the installations.Energy benchmarking is an internal management tool designed to provide ongoing, reliable and verifiable tracking on the hotels performance. The most useful performance indicator (or Energy Efficiency Benchmarking of hotels are: Lighting Power Density (LPD in W (for lighting/m2, and energy intensity (kWh/m2/ y.There are multiple benefits for improving energy in hotel business; reduces the hotel's operating cost, reduces climate change risks and promotes green tourism.Energy efficiency opportunities are low-cost measures and cost- effective investments.   There are many energy saving opportunities for lighting in hotel's guest rooms as well as the more obvious savings in lobbies and exterior lighting areas. Behavior campaigns can yield substantial energy savings, both through the guests and housekeeper behavior. Encouraging housekeepers to use natural light during room cleaning is a simple first step to implement energy saving program.This paper presents the energy efficiency guidelines and energy benchmarking for hotels. Also a case study showing how the energy efficiency program implemented is presented. 

  20. Energy efficiency in the foreground

    International Nuclear Information System (INIS)

    Baettig, I.

    2006-01-01

    In this interview with Eberhard Jochem, professor at the Centre for Energy Policy and Economics at the Federal Institute of Science and Technology (ETH) in Zurich, Switzerland, several energy-relevant topics are discussed. These include high oil prices, possible power shortages and binding commitments in the climate-protection area. The question is asked, how, in consideration of such general conditions, energy use and energy supply should develop in Switzerland. Options for increasing efficiency or the tapping of new energy sources is discussed, as is Switzerland's increasing energy consumption. The '2000 Watt' concept being worked on at the ETH and the activities needed for its realisation are discussed. The effects of this concept on economical and business development are discussed. The potential of renewable forms of energy and the possibility of building combined gas and steam power stations are looked at. Ways of promoting renewable energy and questions concerning the extent of the state intervention in the energy business are considered

  1. Energy production and reactor efficiency

    International Nuclear Information System (INIS)

    Anon.

    1975-01-01

    Doubts have been raised in relation to the economic and energetic efficiency of nuclear reactors. Some economists are questioning whether, when all the capital and material inputs to fission technology are considered, nuclear reactors yield sufficiently large amounts of energy to show a nett gain of energy. (author)

  2. Mobilising Investment in Energy Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2012-07-01

    Taxes, loans and grants, trading schemes and white certificates, public procurement and investment in R&D or infrastructure: known collectively as 'economic instruments', these tools can be powerful means of mobilising the finances needed to achieve policy goals by implementing energy efficiency measures. The role of economic instruments is to kick-start the private financial markets and to motivate private investors to fund EE measures. They should reinforce and promote energy performance regulations. This IEA analysis addresses the fact that, to date, relatively little effort has been directed toward evaluating how well economic instruments work. Using the buildings sector to illustrate how such measures can support energy efficiency, this paper can help policy makers better select and design economic instruments appropriate to their policy objectives and national contexts. This report’s three main aims are to: 1) Examine how economic instruments are currently used in energy efficiency policy; 2) Consider how economic instruments can be more effective and efficient in supporting low-energy buildings; and 3) Assess how economic instruments should be funded, where public outlay is needed. Detailed case studies in this report assess examples of economic instruments for energy efficiency in the buildings sector in Canada (grants), France (tax relief and loans), Germany (loans and grants), Ireland (grants) and Italy (white certificates and tax relief).

  3. Energy efficiency and energy management: an abundance

    International Nuclear Information System (INIS)

    Coullet-Demaiziere, Corinne; Barthet, Marie-Claire; Tourneur, Jean-Claude; Mirguet, Olivier

    2015-01-01

    As France has just published a decree on the energy audit for large companies, and has thus been among the first countries to comply with an article of the European directive on energy efficiency, a set of articles discusses various aspects of these issues of energy efficiency and energy management. A first one presents this mandatory energy audit as a tool for a better energy efficiency, and illustrates the relationship between this commitment and the ISO 50001 standard for French large companies. A second article outlines the tools and standards of application of this energy audit in different legal texts. A third one comments the introduction of four new European arrangements on the labelling of products (indication of energy performance by retailers, objective of reduction of energy consumption, information displayed on site and on-line for various household appliances, current legislation). The next article comments the new German legislation on renewable energies which implements environmental requirements higher than European objectives, and tries to boost the carbon market. The presence of the ISO 50001 certification in the German law is also briefly addressed. Then, an article proposes an overview of a bill project, opinions of experts, and way to go for the new arrangement for energy saving certificates (CEE, certificat d'economie d'energie) launched by the French ministry of Ecology, and which aims at a 700 TWh saving. The content of each article of the bill project is presented and explained, and the relationship between certificate application and some standards is highlighted. The last article comments the decision of the European Court of Justice on the compatibility of Flemish Green Certificates with the European law

  4. Green corridor : energy efficiency initiatives

    Energy Technology Data Exchange (ETDEWEB)

    Bartlett, M.; Strickland, R.; Harding, N. [Windsor Univ., ON (Canada)

    2005-07-01

    This presentation discussed environmental sustainability using alternative energy technologies. It discussed Ecohouse, which is a house designed using conventional and inventive products and techniques to represent an eco-efficient model for living, a more sustainable house, demonstrating sustainable technologies in action and setting a new standard for resource efficiency in Windsor. The presentation provided a building analysis and discussed the following: geothermal heating; distributive power; green roof; net metering; grey water plumbing; solar water heating; passive lighting; energy efficient lighting and geothermal heating and cooling. It also discussed opportunities for innovation, namely: greenhouse; composting toilets; alternative insulation; net metering; solar arrays; hydroponics; and expansion of the house. Also discussed were a nature bridge, an underwater electric kite, and a vertically aerodynamic turbine. The benefits of renewable energy, small hydro power potential, and instream energy generation technology were presented. 9 refs., figs.

  5. Energy Efficiency Policy in Slovenia

    International Nuclear Information System (INIS)

    Beravs, F.

    1998-01-01

    When Slovenia gained its independence in 1991, its energy sector was characterised by largely centralised state planning and artificially low prices maintained by widespread subsidies. Supply side considerations tended to dominate the energy policy and sectoral planning. As a result the final energy intensity in Slovenia was (still albeit declining) considerably higher than the EU average. In order to support economic growth and transition to a modern market economy, integrated and competitive in the European and world market structures, the National Assembly of the Republic of Slovenia adopted a resolution on the Strategy of Energy Use and Supply of Slovenia in early 1996. In the field of energy use, the long-term strategic orientation is to increase energy efficiency in all sectors of energy consumption. The main objective can be summarised as to secure the provision of reliable and environmentally friendly energy services at least costs. In quantitative terms the Strategy attaches a high priority to energy efficiency and environmental protection and sets the target of improving the overall energy efficiency by 2% p.a. over the next 10 to 15 years. To achieve the target mentioned above the sectoral approach and a number of policy instruments have been foreseen. Besides market based energy prices which will, according to the European Energy Charter, gradually incorporate the cost of environment and social impacts, the following policy instruments will be intensified and budget-supported: education and awareness building, energy consultation, regulations and agreements, financial incentives, innovation and technology development. The ambitious energy conservation objectives represent a great challenge to the whole society. (author)

  6. Energy Efficiency Indicators Methodology Booklet

    Energy Technology Data Exchange (ETDEWEB)

    Sathaye, Jayant; Price, Lynn; McNeil, Michael; de la rue du Can, Stephane

    2010-05-01

    This Methodology Booklet provides a comprehensive review and methodology guiding principles for constructing energy efficiency indicators, with illustrative examples of application to individual countries. It reviews work done by international agencies and national government in constructing meaningful energy efficiency indicators that help policy makers to assess changes in energy efficiency over time. Building on past OECD experience and best practices, and the knowledge of these countries' institutions, relevant sources of information to construct an energy indicator database are identified. A framework based on levels of hierarchy of indicators -- spanning from aggregate, macro level to disaggregated end-use level metrics -- is presented to help shape the understanding of assessing energy efficiency. In each sector of activity: industry, commercial, residential, agriculture and transport, indicators are presented and recommendations to distinguish the different factors affecting energy use are highlighted. The methodology booklet addresses specifically issues that are relevant to developing indicators where activity is a major factor driving energy demand. A companion spreadsheet tool is available upon request.

  7. CEE Energy Efficiency Report - Slovakia

    International Nuclear Information System (INIS)

    Hecl, V.

    2005-01-01

    A review of future trends of energy consumption shows that, in the absence of an active energy policy which promotes energy efficiency, energy consumption will increase as a whole by approximately 6.8% by 2012 continuing to raise after this period.. This result hides large differences between the different sources of energy (mainly heat, fuels and electricity) and between the different sectors - transport, industry, buildings etc. It is therefore clear that a strong energy policy is needed to counterbalance the expected increase in energy consumption in all sectors, with emphasis on measures in the building sector (both residential and tertiary) and in the transport sector. Furthermore improvements in the district heating sector are also essential to prevent further disconnection from district heating and a shift to other means of heating. A review of the main barriers to energy efficiency leads to the conclusion that while significant changes are needed in the regulatory framework, the lack of access to finance and the general lack of awareness about existing technologies and best practice represent the greatest barriers. In order to evaluate the success of energy. In a few studies available from past 2-3 years the calculation of low and high targets for energy policy was elaborated. The low targets would represent about 11% - 12% reduction in overall energy consumption. The high targets would represent a 13% - 15% reduction in overall energy consumption. Policy instruments have been identified which can turn energy efficiency into one of the driving forces of the overall economic and development strategy of the country. Some of these instruments deal with general issues such as general policy issues, regulatory and legal aspects, the institutional framework and fiscal, taxation and pricing policy. They are designed to improve the present conditions and would use only a limited part of the available public budget. The state budget dedicated to energy issues will

  8. Energy and Water Efficiency on Campus | NREL

    Science.gov (United States)

    Energy and Water Efficiency on Campus Energy and Water Efficiency on Campus NREL ensures the resiliency of our future energy and water systems through energy efficiency strategies and technologies , renewable energy, and water efficiency on the NREL campus. FY17 Energy Intensity. The South Table Mountain

  9. Energy Efficient Hydraulic Hybrid Drives

    OpenAIRE

    Rydberg, Karl-Erik

    2009-01-01

    Energy efficiency of propulsion systems for cars, trucks and construction machineries has become one of the most important topics in today’s mobile system design, mainly because of increased fuel costs and new regulations about engine emissions, which is needed to save the environment. To meet the increased requirements on higher efficiency and better functionality, components and systems have been developed over the years. For the last ten years the development of hybrid systems can be divid...

  10. Energy Efficient Drivepower: An Overview.

    Energy Technology Data Exchange (ETDEWEB)

    Ula, Sadrul; Birnbaum, Larry E.; Jordan, Don

    1993-05-01

    This report examines energy efficiency in drivepower systems. Only systems where the prime movers are electrical motors are discussed. A systems approach is used to examine all major aspects of drivepower, including motors, controls, electrical tune-ups, mechanical efficiency, maintenance, and management. Potential annual savings to the US society of $25 to $50 billion are indicated. The report was written for readers with a semi-technical background.

  11. The Challenge of Energy Efficiency

    International Nuclear Information System (INIS)

    Alonso Gonzalez, J. A.

    2009-01-01

    Recent Directive 2009/28/EC on the promotion of the use of renewable energies sets some binding targets for the contribution of renewable energies in 2020 to total consumption, setting the share at 20% of final energy demand, with a particularisation of 10% for the transport sector, and also a 20% reduction of greenhouse gases Together with these targets, it also sets another target relative to energy efficiency, aiming for a 20% improvement, under the terms set down by the Commission in its announcement dated 19 October 2006. This energy saving target is going to have a decisive influence on the achievement of the other two. In order to quantify the degree of difficulty of achieving the saving target and determine the policies and measures to be taken, we are going to analyze the evolution of energy efficiency (energy consumption energy units per unit of GDP - economic unit) in Spain from 1980 to date and the value of energy intensity that we should have in 2020 to achieve the targets. This will give us an idea of the magnitude of the challenge and, therefore, of the efforts we will have to make to achieve the target. (Author)

  12. Efficient sampling algorithms for Monte Carlo based treatment planning

    International Nuclear Information System (INIS)

    DeMarco, J.J.; Solberg, T.D.; Chetty, I.; Smathers, J.B.

    1998-01-01

    Efficient sampling algorithms are necessary for producing a fast Monte Carlo based treatment planning code. This study evaluates several aspects of a photon-based tracking scheme and the effect of optimal sampling algorithms on the efficiency of the code. Four areas were tested: pseudo-random number generation, generalized sampling of a discrete distribution, sampling from the exponential distribution, and delta scattering as applied to photon transport through a heterogeneous simulation geometry. Generalized sampling of a discrete distribution using the cutpoint method can produce speedup gains of one order of magnitude versus conventional sequential sampling. Photon transport modifications based upon the delta scattering method were implemented and compared with a conventional boundary and collision checking algorithm. The delta scattering algorithm is faster by a factor of six versus the conventional algorithm for a boundary size of 5 mm within a heterogeneous geometry. A comparison of portable pseudo-random number algorithms and exponential sampling techniques is also discussed

  13. Energy efficiency standards and innovation

    Science.gov (United States)

    Morrison, Geoff

    2015-01-01

    Van Buskirk et al (2014 Environ. Res. Lett. 9 114010) demonstrate that the purchase price, lifecycle cost and price of improving efficiency (i.e. the incremental price of efficiency gain) decline at an accelerated rate following the adoption of the first energy efficiency standards for five consumer products. The authors show these trends using an experience curve framework (i.e. price/cost versus cumulative production). While the paper does not draw a causal link between standards and declining prices, they provide suggestive evidence using markets in the US and Europe. Below, I discuss the potential implications of the work.

  14. An efficient algorithm for incompressible N-phase flows

    International Nuclear Information System (INIS)

    Dong, S.

    2014-01-01

    We present an efficient algorithm within the phase field framework for simulating the motion of a mixture of N (N⩾2) immiscible incompressible fluids, with possibly very different physical properties such as densities, viscosities, and pairwise surface tensions. The algorithm employs a physical formulation for the N-phase system that honors the conservations of mass and momentum and the second law of thermodynamics. We present a method for uniquely determining the mixing energy density coefficients involved in the N-phase model based on the pairwise surface tensions among the N fluids. Our numerical algorithm has several attractive properties that make it computationally very efficient: (i) it has completely de-coupled the computations for different flow variables, and has also completely de-coupled the computations for the (N−1) phase field functions; (ii) the algorithm only requires the solution of linear algebraic systems after discretization, and no nonlinear algebraic solve is needed; (iii) for each flow variable the linear algebraic system involves only constant and time-independent coefficient matrices, which can be pre-computed during pre-processing, despite the variable density and variable viscosity of the N-phase mixture; (iv) within a time step the semi-discretized system involves only individual de-coupled Helmholtz-type (including Poisson) equations, despite the strongly-coupled phase–field system of fourth spatial order at the continuum level; (v) the algorithm is suitable for large density contrasts and large viscosity contrasts among the N fluids. Extensive numerical experiments have been presented for several problems involving multiple fluid phases, large density contrasts and large viscosity contrasts. In particular, we compare our simulations with the de Gennes theory, and demonstrate that our method produces physically accurate results for multiple fluid phases. We also demonstrate the significant and sometimes dramatic effects of the

  15. State Energy Efficiency Benefits and Opportunities

    Science.gov (United States)

    Describes the benefits of energy efficiency and how to assess its potential for your state. Also, find details on energy efficiency policies, programs, and resources available for furthering energy efficiency goals.

  16. Efficient Algorithms for a Family of Matroid Intersection Problems

    National Research Council Canada - National Science Library

    Gabow, Harold N; Tarjan, Robert E

    1982-01-01

    .... its efficiency is demonstrated by implementations on specific matroids. In all cases but one, the running time matches the best-known algorithm for the problem without the red element constraint...

  17. Efficient scheduling request algorithm for opportunistic wireless access

    KAUST Repository

    Nam, Haewoon

    2011-08-01

    An efficient scheduling request algorithm for opportunistic wireless access based on user grouping is proposed in this paper. Similar to the well-known opportunistic splitting algorithm, the proposed algorithm initially adjusts (or lowers) the threshold during a guard period if no user sends a scheduling request. However, if multiple users make requests simultaneously and therefore a collision occurs, the proposed algorithm no longer updates the threshold but narrows down the user search space by splitting the users into multiple groups iteratively, whereas the opportunistic splitting algorithm keeps adjusting the threshold until a single user is found. Since the threshold is only updated when no user sends a request, it is shown that the proposed algorithm significantly alleviates the burden of the signaling for the threshold distribution to the users by the scheduler. More importantly, the proposed algorithm requires a less number of mini-slots to make a user selection given a certain scheduling outage probability. © 2011 IEEE.

  18. An efficient non-dominated sorting method for evolutionary algorithms.

    Science.gov (United States)

    Fang, Hongbing; Wang, Qian; Tu, Yi-Cheng; Horstemeyer, Mark F

    2008-01-01

    We present a new non-dominated sorting algorithm to generate the non-dominated fronts in multi-objective optimization with evolutionary algorithms, particularly the NSGA-II. The non-dominated sorting algorithm used by NSGA-II has a time complexity of O(MN(2)) in generating non-dominated fronts in one generation (iteration) for a population size N and M objective functions. Since generating non-dominated fronts takes the majority of total computational time (excluding the cost of fitness evaluations) of NSGA-II, making this algorithm faster will significantly improve the overall efficiency of NSGA-II and other genetic algorithms using non-dominated sorting. The new non-dominated sorting algorithm proposed in this study reduces the number of redundant comparisons existing in the algorithm of NSGA-II by recording the dominance information among solutions from their first comparisons. By utilizing a new data structure called the dominance tree and the divide-and-conquer mechanism, the new algorithm is faster than NSGA-II for different numbers of objective functions. Although the number of solution comparisons by the proposed algorithm is close to that of NSGA-II when the number of objectives becomes large, the total computational time shows that the proposed algorithm still has better efficiency because of the adoption of the dominance tree structure and the divide-and-conquer mechanism.

  19. EYES -- Energy Efficient Sensor Networks

    NARCIS (Netherlands)

    Havinga, Paul J.M.; Etalle, Sandro; Karl, Holger; Petrioli, Chiara; Zorzi, Michele; Kip, Harry; Lentsch, Thomas; Conti, M.; Giordano, S.; Gregori, E.; Olariu, S.

    The EYES project (IST-2001-34734) is a three years European research project on self-organizing and collaborative energy-efficient sensor networks. It will address the convergence of distributed information processing, wireless communications, and mobile computing. The goal of the project is to

  20. Efficient Algorithmic Frameworks via Structural Graph Theory

    Science.gov (United States)

    2016-10-28

    constant. For example, they measured that, on large samples of the entire network, the Amazon graph has average degree 17.7, the Facebook graph has average...department heads’ opinions of departments, and generally lack transparency and well-defined measures . On the other hand, the National Research Council (the...Efficient and practical resource block allocation for LTE -based D2D network via graph coloring. Wireless Networks 20(4): 611-624 (2014) 50. Hossein

  1. Southern Energy Efficiency Center (SEEC)

    Energy Technology Data Exchange (ETDEWEB)

    Vieira, Robin; Sonne, Jeffrey; Withers, Charles; Cummings, James; Verdict, Malcolm; Roberts, Sydney

    2009-09-30

    The Southern Energy Efficiency Center (SEEC) builds collaborative partnerships with: state and local governments and their program support offices, the building delivery industry (designers, contractors, realtors and commissioning agents), product manufacturers and their supply chains, utilities and their program implementers, consumers and other stakeholders in order to forge a strong regional network of building energy efficiency allies. Through a project Steering Committee composed of the state energy offices and building industry stakeholders, the SEEC works to establish consensus-based goals, priorities and strategies at the regional, state and local levels that will materially advance the deployment of high-performance “beyond code” buildings. In its first Phase, SEEC will provide limited technical and policy support assistance, training, certification and education to a wide spectrum of the building construction, codes and standards, and the consumer marketplace.

  2. Energy Efficient Payload Aggregation in WSNs

    Directory of Open Access Journals (Sweden)

    Ákos MILÁNKOVICH

    2015-06-01

    Full Text Available Creating wireless sensor networks requires a different approach than traditional communication networks because energy efficiency plays a key role in sensor networks, which consist of devices without external power. The amount of energy used determines the lifetime of these devices. In most cases data packets are less sensitive to delay, thus can be aggregated, making it possible to gather more useful information reducing the energy required to transmit information. This article discusses the energy efficiency of different Forward Error Correction algorithms and presents a method to calculate the optimal amount of aggregation of the data packets in terms of power consumption, while taking into account the Bit Error Rate characteristics of the wireless channel. The contribution of this paper is a general method to improve the energy efficiency of wireless sensor networks by using the optimal amount of aggregation in case of different Forward Error Correction codes and channel characteristics. The presented results can be applied to any packet-based wireless protocol.

  3. Efficient Parallel Algorithm For Direct Numerical Simulation of Turbulent Flows

    Science.gov (United States)

    Moitra, Stuti; Gatski, Thomas B.

    1997-01-01

    A distributed algorithm for a high-order-accurate finite-difference approach to the direct numerical simulation (DNS) of transition and turbulence in compressible flows is described. This work has two major objectives. The first objective is to demonstrate that parallel and distributed-memory machines can be successfully and efficiently used to solve computationally intensive and input/output intensive algorithms of the DNS class. The second objective is to show that the computational complexity involved in solving the tridiagonal systems inherent in the DNS algorithm can be reduced by algorithm innovations that obviate the need to use a parallelized tridiagonal solver.

  4. 77 FR 50489 - Office of Energy Efficiency and Renewable Energy

    Science.gov (United States)

    2012-08-21

    ... DEPARTMENT OF ENERGY Office of Energy Efficiency and Renewable Energy Wind and Water Power Program AGENCY: Office of Energy Efficiency and Renewable Energy, Department of Energy. ACTION: Notice of public... FURTHER INFORMATION CONTACT: Mr. Hoyt Battey, Office of Energy Efficiency and Renewable Energy, U.S...

  5. Energy-efficient computing and networking. Revised selected papers

    Energy Technology Data Exchange (ETDEWEB)

    Hatziargyriou, Nikos; Dimeas, Aris [Ethnikon Metsovion Polytechneion, Athens (Greece); Weidlich, Anke (eds.) [SAP Research Center, Karlsruhe (Germany); Tomtsi, Thomai

    2011-07-01

    This book constitutes the postproceedings of the First International Conference on Energy-Efficient Computing and Networking, E-Energy, held in Passau, Germany in April 2010. The 23 revised papers presented were carefully reviewed and selected for inclusion in the post-proceedings. The papers are organized in topical sections on energy market and algorithms, ICT technology for the energy market, implementation of smart grid and smart home technology, microgrids and energy management, and energy efficiency through distributed energy management and buildings. (orig.)

  6. The Grover energy transfer algorithm for relativistic speeds

    Energy Technology Data Exchange (ETDEWEB)

    Garcia-Escartin, Juan Carlos; Chamorro-Posada, Pedro, E-mail: juagar@yllera.tel.uva.e [Dpto. de TeorIa de la Senal y Comunicaciones e Ingenieria Telematica, Universidad de Valladolid, ETSI de Telecomunicacion, Campus Miguel Delibes, Paseo Belen 15, 47011 Valladolid (Spain)

    2010-11-12

    Grover's algorithm for quantum search can also be applied to classical energy transfer. The procedure takes a system in which the total energy is equally distributed among N subsystems and transfers most of it to one marked subsystem. We show that in a relativistic setting the efficiency of this procedure can be improved. We will consider the transfer of relativistic kinetic energy in a series of elastic collisions. In this case, the number of steps of the energy transfer procedure approaches 1 as the initial velocities of the objects become closer to the speed of light. This is a consequence of introducing nonlinearities in the procedure. However, the maximum attainable transfer will depend on the particular combination of speed and number of objects. In the procedure, we will use N elements, as in the classical non-relativistic case, instead of the log{sub 2}(N) states of the quantum algorithm.

  7. The Grover energy transfer algorithm for relativistic speeds

    International Nuclear Information System (INIS)

    Garcia-Escartin, Juan Carlos; Chamorro-Posada, Pedro

    2010-01-01

    Grover's algorithm for quantum search can also be applied to classical energy transfer. The procedure takes a system in which the total energy is equally distributed among N subsystems and transfers most of it to one marked subsystem. We show that in a relativistic setting the efficiency of this procedure can be improved. We will consider the transfer of relativistic kinetic energy in a series of elastic collisions. In this case, the number of steps of the energy transfer procedure approaches 1 as the initial velocities of the objects become closer to the speed of light. This is a consequence of introducing nonlinearities in the procedure. However, the maximum attainable transfer will depend on the particular combination of speed and number of objects. In the procedure, we will use N elements, as in the classical non-relativistic case, instead of the log 2 (N) states of the quantum algorithm.

  8. Efficient Record Linkage Algorithms Using Complete Linkage Clustering.

    Science.gov (United States)

    Mamun, Abdullah-Al; Aseltine, Robert; Rajasekaran, Sanguthevar

    2016-01-01

    Data from different agencies share data of the same individuals. Linking these datasets to identify all the records belonging to the same individuals is a crucial and challenging problem, especially given the large volumes of data. A large number of available algorithms for record linkage are prone to either time inefficiency or low-accuracy in finding matches and non-matches among the records. In this paper we propose efficient as well as reliable sequential and parallel algorithms for the record linkage problem employing hierarchical clustering methods. We employ complete linkage hierarchical clustering algorithms to address this problem. In addition to hierarchical clustering, we also use two other techniques: elimination of duplicate records and blocking. Our algorithms use sorting as a sub-routine to identify identical copies of records. We have tested our algorithms on datasets with millions of synthetic records. Experimental results show that our algorithms achieve nearly 100% accuracy. Parallel implementations achieve almost linear speedups. Time complexities of these algorithms do not exceed those of previous best-known algorithms. Our proposed algorithms outperform previous best-known algorithms in terms of accuracy consuming reasonable run times.

  9. ICT applications enhancing energy efficiency

    Directory of Open Access Journals (Sweden)

    A. G. Matani

    2016-06-01

    Full Text Available Computers, laptops and mobile devices – information technology (IT accounts for 2% of human greenhouse gas emissions worldwide, as evidenced in a study by Global Action Plan, a UK based environmental organization. This figure can be reduced if the green segment, or Green IT, continues to grow. Energy can also be saved through cloud computing, namely the principle of outsourcing the programs and functions of one’s own computer to service providers over the internet. This also means sharing storage capacity with others. This paper highlights the impact of information technology applications towards enhancing energy efficiency of the systems.

  10. Energy Aware Clustering Algorithms for Wireless Sensor Networks

    Science.gov (United States)

    Rakhshan, Noushin; Rafsanjani, Marjan Kuchaki; Liu, Chenglian

    2011-09-01

    The sensor nodes deployed in wireless sensor networks (WSNs) are extremely power constrained, so maximizing the lifetime of the entire networks is mainly considered in the design. In wireless sensor networks, hierarchical network structures have the advantage of providing scalable and energy efficient solutions. In this paper, we investigate different clustering algorithms for WSNs and also compare these clustering algorithms based on metrics such as clustering distribution, cluster's load balancing, Cluster Head's (CH) selection strategy, CH's role rotation, node mobility, clusters overlapping, intra-cluster communications, reliability, security and location awareness.

  11. 78 FR 20896 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2013-04-08

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an Open Meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC... industry-specific teams--renewable energy, energy efficiency, energy storage and transmission, and biofuels...

  12. 75 FR 70214 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2010-11-17

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an open meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC... submitted to the Renewable Energy and Energy Efficiency Advisory Committee, Office of Energy and...

  13. Frontiers in the economics of energy efficiency

    International Nuclear Information System (INIS)

    Miguel, Carlos de; Labandeira, Xavier; Löschel, Andreas

    2015-01-01

    Energy efficiency has become an essential instrument to obtain effective greenhouse gas mitigation and reduced energy dependence. This introductory article contextualizes the contributions of the supplemental issue by showing the new setting for energy efficiency economics and policy; discussing the role of price instruments to promote energy savings; presenting new approaches for energy efficiency policies; and placing energy efficiency within a wider energy and environmental framework.

  14. Energy-efficient neuromorphic classifiers

    OpenAIRE

    Martí, Daniel; Rigotti, Mattia; Seok, Mingoo; Fusi, Stefano

    2015-01-01

    Neuromorphic engineering combines the architectural and computational principles of systems neuroscience with semiconductor electronics, with the aim of building efficient and compact devices that mimic the synaptic and neural machinery of the brain. Neuromorphic engineering promises extremely low energy consumptions, comparable to those of the nervous system. However, until now the neuromorphic approach has been restricted to relatively simple circuits and specialized functions, rendering el...

  15. Efficient motif finding algorithms for large-alphabet inputs

    Directory of Open Access Journals (Sweden)

    Pavlovic Vladimir

    2010-10-01

    Full Text Available Abstract Background We consider the problem of identifying motifs, recurring or conserved patterns, in the biological sequence data sets. To solve this task, we present a new deterministic algorithm for finding patterns that are embedded as exact or inexact instances in all or most of the input strings. Results The proposed algorithm (1 improves search efficiency compared to existing algorithms, and (2 scales well with the size of alphabet. On a synthetic planted DNA motif finding problem our algorithm is over 10× more efficient than MITRA, PMSPrune, and RISOTTO for long motifs. Improvements are orders of magnitude higher in the same setting with large alphabets. On benchmark TF-binding site problems (FNP, CRP, LexA we observed reduction in running time of over 12×, with high detection accuracy. The algorithm was also successful in rapidly identifying protein motifs in Lipocalin, Zinc metallopeptidase, and supersecondary structure motifs for Cadherin and Immunoglobin families. Conclusions Our algorithm reduces computational complexity of the current motif finding algorithms and demonstrate strong running time improvements over existing exact algorithms, especially in important and difficult cases of large-alphabet sequences.

  16. Energy efficiency information systems. Proceedings

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-12-31

    It is well known that different cultures and countries are receptive in different ways to information transfer. Modern information technology, including computers, videos, and telecommunications, can provide a very useful tool for the dissemination of information. At the same time, however, the use of new media involves many new and varied challenges. It is important therefore that the new dissemination methods are developed and utilised in the most effective way depending on the subjects distinctive character, needs and traditions. This workshop was designed to gather experts from all the CADDET member countries, to share knowledge, experiences and ideas about the use of new methods of information exchange and training in the field of energy efficiency. The workshop was divided into four plenary sessions: dissemination of information on energy efficient technologies; training technologies and effective learning; computer-based training tools on energy efficiency; databases and network resources. Two discussion groups followed the plenary sessions, to concentrate on: different aspects of information exchange; and different aspects of state-of-the-art training tools. The workshop was attended by 44 participants from 17 countries, and included 14 speakers

  17. Efficient sequential and parallel algorithms for record linkage.

    Science.gov (United States)

    Mamun, Abdullah-Al; Mi, Tian; Aseltine, Robert; Rajasekaran, Sanguthevar

    2014-01-01

    Integrating data from multiple sources is a crucial and challenging problem. Even though there exist numerous algorithms for record linkage or deduplication, they suffer from either large time needs or restrictions on the number of datasets that they can integrate. In this paper we report efficient sequential and parallel algorithms for record linkage which handle any number of datasets and outperform previous algorithms. Our algorithms employ hierarchical clustering algorithms as the basis. A key idea that we use is radix sorting on certain attributes to eliminate identical records before any further processing. Another novel idea is to form a graph that links similar records and find the connected components. Our sequential and parallel algorithms have been tested on a real dataset of 1,083,878 records and synthetic datasets ranging in size from 50,000 to 9,000,000 records. Our sequential algorithm runs at least two times faster, for any dataset, than the previous best-known algorithm, the two-phase algorithm using faster computation of the edit distance (TPA (FCED)). The speedups obtained by our parallel algorithm are almost linear. For example, we get a speedup of 7.5 with 8 cores (residing in a single node), 14.1 with 16 cores (residing in two nodes), and 26.4 with 32 cores (residing in four nodes). We have compared the performance of our sequential algorithm with TPA (FCED) and found that our algorithm outperforms the previous one. The accuracy is the same as that of this previous best-known algorithm.

  18. Adaptive learning algorithms for vibration energy harvesting

    International Nuclear Information System (INIS)

    Ward, John K; Behrens, Sam

    2008-01-01

    By scavenging energy from their local environment, portable electronic devices such as MEMS devices, mobile phones, radios and wireless sensors can achieve greater run times with potentially lower weight. Vibration energy harvesting is one such approach where energy from parasitic vibrations can be converted into electrical energy through the use of piezoelectric and electromagnetic transducers. Parasitic vibrations come from a range of sources such as human movement, wind, seismic forces and traffic. Existing approaches to vibration energy harvesting typically utilize a rectifier circuit, which is tuned to the resonant frequency of the harvesting structure and the dominant frequency of vibration. We have developed a novel approach to vibration energy harvesting, including adaptation to non-periodic vibrations so as to extract the maximum amount of vibration energy available. Experimental results of an experimental apparatus using an off-the-shelf transducer (i.e. speaker coil) show mechanical vibration to electrical energy conversion efficiencies of 27–34%

  19. 77 FR 6783 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2012-02-09

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an open meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC... competitiveness of U.S. renewable [[Page 6784

  20. Energy efficiency public service advertising campaign

    Energy Technology Data Exchange (ETDEWEB)

    Gibson-Grant, Amanda [Advertising Council, New York, NY (United States)

    2015-06-12

    The Advertising Council (“the Ad Council”) and The United States Department of Energy (DOE) created and launched a national public service advertising campaign designed to promote energy efficiency. The objective of the Energy Efficiency campaign was to redefine how consumers approach energy efficiency by showing that saving energy can save homeowners money.

  1. Energy Efficiency in Manufacturing Systems

    CERN Document Server

    Thiede, Sebastian

    2012-01-01

    Energy consumption is of great interest to manufacturing companies. Beyond considering individual processes and machines, the perspective on process chains and factories as a whole holds major potentials for energy efficiency improvements. To exploit these potentials, dynamic interactions of different processes as well as auxiliary equipment (e.g. compressed air generation) need to be taken into account. In addition, planning and controlling manufacturing systems require  balancing technical, economic and environmental objectives. Therefore, an innovative and comprehensive methodology – with a generic energy flow-oriented manufacturing simulation environment as a core element – is developed and embedded into a step-by-step application cycle. The concept is applied in its entirety to a wide range of case studies such as aluminium die casting, weaving mills, and printed circuit board assembly in order to demonstrate the broad applicability and the benefits that can be achieved.

  2. Energy efficient home in Lebanon

    International Nuclear Information System (INIS)

    1997-01-01

    The purpose of the study is to present new methods or new products that could save money while improving the environment in Lebanon. Cost of energy is on the increase and is predicted to increase even more in the future. Environmental issues and awareness are gaining momentum in Lebanon. With electricity production directly linked to power plants that represent about 30% of the air pollution which is also linked to health related issues. There is an intermediate need to introduce more energy efficient products in the construction industry which require less energy to operate or could be linked indirectly to energy. In this context, cost-benefit analysis of heating, light, painting, energy consumption and energy lamp burning hours in addition to fuel burner, gas and electric heater in buildings are presented in tables. Finally, there is a lack of awareness on the positive impact on the environment reflected in the saving of natural resources, reducing pollution and creation of a better living environment

  3. The Efficiency Analysis of the Augmented Reality Algorithm

    Directory of Open Access Journals (Sweden)

    Dovilė Kurpytė

    2013-05-01

    Full Text Available The article presents the investigation of the efficiency of augmented reality algorithm that depends on the rotation angles and lighting conditions. The following were the target subject parameters: three degrees of freedom perspective of the rotation and side lighting that forms a shadow. Static parameters of subjects with the ability to change them were as follow: the distance between the marker and the camera, camera, processor, and the distance from the light source. The study is based on an open source Java programming language algorithm, where the algorithm is tested with 10 markers. It was found that the rotation error did not exceed 2%.Article in Lithuanian

  4. Energy-efficient cooking methods

    Energy Technology Data Exchange (ETDEWEB)

    De, Dilip K. [Department of Physics, University of Jos, P.M.B. 2084, Jos, Plateau State (Nigeria); Muwa Shawhatsu, N. [Department of Physics, Federal University of Technology, Yola, P.M.B. 2076, Yola, Adamawa State (Nigeria); De, N.N. [Department of Mechanical and Aerospace Engineering, The University of Texas at Arlington, Arlington, TX 76019 (United States); Ikechukwu Ajaeroh, M. [Department of Physics, University of Abuja, Abuja (Nigeria)

    2013-02-15

    Energy-efficient new cooking techniques have been developed in this research. Using a stove with 649{+-}20 W of power, the minimum heat, specific heat of transformation, and on-stove time required to completely cook 1 kg of dry beans (with water and other ingredients) and 1 kg of raw potato are found to be: 710 {+-}kJ, 613 {+-}kJ, and 1,144{+-}10 s, respectively, for beans and 287{+-}12 kJ, 200{+-}9 kJ, and 466{+-}10 s for Irish potato. Extensive researches show that these figures are, to date, the lowest amount of heat ever used to cook beans and potato and less than half the energy used in conventional cooking with a pressure cooker. The efficiency of the stove was estimated to be 52.5{+-}2 %. Discussion is made to further improve the efficiency in cooking with normal stove and solar cooker and to save food nutrients further. Our method of cooking when applied globally is expected to contribute to the clean development management (CDM) potential. The approximate values of the minimum and maximum CDM potentials are estimated to be 7.5 x 10{sup 11} and 2.2 x 10{sup 13} kg of carbon credit annually. The precise estimation CDM potential of our cooking method will be reported later.

  5. 77 FR 23224 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2012-04-18

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an open meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC.... competitiveness in exporting renewable energy and energy efficiency (RE&EE) products and services, such as access...

  6. 76 FR 7815 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2011-02-11

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an open meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC... programs support the competitiveness of U.S. renewable energy and energy efficiency companies, to review...

  7. 78 FR 69370 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2013-11-19

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an open meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC....S. renewable energy and energy efficiency industries. The December 3, 2013 meeting of the RE&EEAC...

  8. 78 FR 2952 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2013-01-15

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an open meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC... competitiveness of U.S. renewable energy and energy efficiency exports. The meeting is open to the public and the...

  9. 76 FR 54431 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2011-09-01

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an Open Meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC... competitiveness of the U.S. renewable energy and energy efficiency industries, including specific challenges...

  10. 77 FR 32531 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2012-06-01

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an Open Meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC... new capital for investment in the U.S. renewable energy and energy efficiency sectors, increasing the...

  11. 78 FR 78340 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2013-12-26

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an Open Meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC... affecting U.S. competitiveness in exporting renewable energy and energy efficiency (RE&EE) products and...

  12. 77 FR 64112 - Office of Energy Efficiency and Renewable Energy

    Science.gov (United States)

    2012-10-18

    ... DEPARTMENT OF ENERGY Office of Energy Efficiency and Renewable Energy Nationwide Categorical Waivers of the American Recovery and Reinvestment Act AGENCY: Office of Energy Efficiency and Renewable... Efficiency and Renewable Energy, U.S. Department of Energy. [FR Doc. 2012-25636 Filed 10-17-12; 8:45 am...

  13. 76 FR 44576 - Renewable Energy and Energy Efficiency Advisory Committee

    Science.gov (United States)

    2011-07-26

    ... DEPARTMENT OF COMMERCE International Trade Administration Renewable Energy and Energy Efficiency... of an Open Meeting. SUMMARY: The Renewable Energy and Energy Efficiency Advisory Committee (RE&EEAC.... renewable energy and energy efficiency industries. The RE&EEAC held its first meeting on December 7, 2010...

  14. Energy efficient solid state lighting

    Energy Technology Data Exchange (ETDEWEB)

    Dam-Hansen, C.; Petersen, Poul Michael

    2012-11-15

    Even though vast improvements have been made on efficiency and light quality, SSL is still in its infancy. One of the barriers for a market introduction is the price, which still is around 5 times higher than traditional lighting technologies. In order to fulfil the potential of SSL, further research and development needs to increase the light extraction from semiconductor materials, provide better and cheaper production and packaging, and advanced optical systems for optimized light distribution and new thermal solutions for SSL lamps and luminaires. Nanotechnology and applied research at DTU Fotonik in close collaboration with industry are essential parts in the development of new enhanced LED optical systems and LEDs with higher light extraction efficiency. Photonic crystals can help to efficiently extract light from LEDs and to form a desired emission profile. Future directions are devoted to the next generation of LEDs, in which the spontaneous emission is photon enhanced. One realization of this idea is using LEDs with a layer of nanocrystals, which are coupled to the quantum well of the LED. Such R and D work is ongoing all over the world and DOE roadmaps foresee luminous efficiencies by 2020 that are close to 250 lm/W for both cold and warm white light from LEDs, and prices in the order of one dollar per kilolumen. Such figures will drastically reduce the energy consumption worldwide for lighting, and hence a marked reduction in carbon emissions. (Author)

  15. Global status report on energy efficiency 2008

    NARCIS (Netherlands)

    Blok, K.; van Breevoort, P.; Roes, A.L.; Coenraads, R.; Müller, N.

    2008-01-01

    There is wide agreement that energy efficiency improvement is one of the key strategies to achieve greater sustainability of the energy system. In the past, the contribution of energy efficiency has already been considerable.Without the energy efficiency improvements achieved since the 1970s,

  16. Energy efficiency and greenhouse gases

    International Nuclear Information System (INIS)

    Hamburg, A.; Martins, A.; Pesur, A.; Roos, I.

    1996-01-01

    Estonia's energy balance for 1990 - 1994 is characterized by the dramatic changes in the economy after regaining independence in 1991. In 1990 - 1993, primary energy supply decreased about 1.9 times. The reasons were a sharp decrease in exports of electric energy and industrial products, a steep increase in fuel prices and the transition from the planned to a market-oriented economy. Over the same period, the total amount of emitted greenhouse gases decreased about 45%. In 1993, the decrease in energy production and consumption stopped, and in 1994, a moderate increase occurred (about 6%), which is a proof stabilizing economy. Oil shale power engineering will remain the prevailing energy resource for the next 20 - 25 years. After stabilization, the use of oil shale will rise in Estonia's economy. Oil shale combustion in power plants will be the greatest source of greenhouse gases emissions in near future. The main problem is to decrease the share of CO 2 emissions from the decomposition of carbonate part of oil shale. This can be done by separating limestone particles from oil shale before its burning by use of circulating fluidized bed combustion technology. Higher efficiency of oil shale power plants facilitates the reduction of CO 2 emissions per generated MWh electricity considerably. The prognoses for the future development of power engineering depend essentially on the environmental requirements. Under the highly restricted development scenario, which includes strict limitations to emissions (CO 2 , SO 2 , thermal waste) and a severe penalty system, the competitiveness of nuclear power will increase. The conceptual steps taken by the Estonian energy management should be in compliance with those of neighboring countries, including the development programs of the other Baltic states

  17. An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting

    Directory of Open Access Journals (Sweden)

    Dingcheng Yang

    2016-01-01

    Full Text Available This study investigates an energy-efficient scheme in multirelay cooperative networks with energy harvesting where multiple sessions need to communicate with each other via the relay node. A two-step optimal method is proposed which maximizes the system energy efficiency, while taking into account the receiver circuit energy consumption. Firstly, the optimal power allocation for relay nodes is determined to maximize the system throughput; this is based on directional water-filling algorithm. Secondly, using quantum particle swarm optimization (QPSO, a joint relay node selection and session grouping optimization is proposed. With this algorithm, sessions can be classified into multiple groups that are assisted by the specific relay node with the maximum energy efficiency. This approach leads to a better global optimization in searching ability and efficiency. Simulation results show that the proposed scheme can improve the energy efficiency effectively compared with direct transmission and opportunistic relay-selected cooperative transmission.

  18. Energy efficiency networks; Energieeffizienz-Netzwerke

    Energy Technology Data Exchange (ETDEWEB)

    Gruber, Anna [Forschungsgesellschaft fuer Energiewirtschaft mbH (FfE GmbH), Muenchen (Germany)

    2011-07-01

    Energy efficiency networks are an attractive method to increase the energy efficiency and to reduce the costs and CO{sub 2} emissions of the companies operating in this network. A special feature of the energy efficiency networks is the exchange of experiences and training of the energy managers. Energy efficiency networks consist of about ten to fifteen locally domiciled companies. During the project period of three to four years, there are two main phases. In the first phase, the initial consultation phase, the actual state of a company is captured, and measures to increase the efficiency and energy conservation are identified. Parallel to this, in the second phase every three months a meeting with the participating companies takes place. Experience exchange and implementation of energy efficiency measures are the focus of these meetings. Initial studies show that the increase of the energy efficiency during participating in the energy efficiency network almost can be doubled in comparison to the average of the industry.

  19. An Improved Crow Search Algorithm Applied to Energy Problems

    Directory of Open Access Journals (Sweden)

    Primitivo Díaz

    2018-03-01

    Full Text Available The efficient use of energy in electrical systems has become a relevant topic due to its environmental impact. Parameter identification in induction motors and capacitor allocation in distribution networks are two representative problems that have strong implications in the massive use of energy. From an optimization perspective, both problems are considered extremely complex due to their non-linearity, discontinuity, and high multi-modality. These characteristics make difficult to solve them by using standard optimization techniques. On the other hand, metaheuristic methods have been widely used as alternative optimization algorithms to solve complex engineering problems. The Crow Search Algorithm (CSA is a recent metaheuristic method based on the intelligent group behavior of crows. Although CSA presents interesting characteristics, its search strategy presents great difficulties when it faces high multi-modal formulations. In this paper, an improved version of the CSA method is presented to solve complex optimization problems of energy. In the new algorithm, two features of the original CSA are modified: (I the awareness probability (AP and (II the random perturbation. With such adaptations, the new approach preserves solution diversity and improves the convergence to difficult high multi-modal optima. In order to evaluate its performance, the proposed algorithm has been tested in a set of four optimization problems which involve induction motors and distribution networks. The results demonstrate the high performance of the proposed method when it is compared with other popular approaches.

  20. An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks.

    Science.gov (United States)

    Xie, Xiurui; Qu, Hong; Liu, Guisong; Zhang, Malu; Kurths, Jürgen

    2016-01-01

    The spiking neural networks (SNNs) are the third generation of neural networks and perform remarkably well in cognitive tasks such as pattern recognition. The spike emitting and information processing mechanisms found in biological cognitive systems motivate the application of the hierarchical structure and temporal encoding mechanism in spiking neural networks, which have exhibited strong computational capability. However, the hierarchical structure and temporal encoding approach require neurons to process information serially in space and time respectively, which reduce the training efficiency significantly. For training the hierarchical SNNs, most existing methods are based on the traditional back-propagation algorithm, inheriting its drawbacks of the gradient diffusion and the sensitivity on parameters. To keep the powerful computation capability of the hierarchical structure and temporal encoding mechanism, but to overcome the low efficiency of the existing algorithms, a new training algorithm, the Normalized Spiking Error Back Propagation (NSEBP) is proposed in this paper. In the feedforward calculation, the output spike times are calculated by solving the quadratic function in the spike response model instead of detecting postsynaptic voltage states at all time points in traditional algorithms. Besides, in the feedback weight modification, the computational error is propagated to previous layers by the presynaptic spike jitter instead of the gradient decent rule, which realizes the layer-wised training. Furthermore, our algorithm investigates the mathematical relation between the weight variation and voltage error change, which makes the normalization in the weight modification applicable. Adopting these strategies, our algorithm outperforms the traditional SNN multi-layer algorithms in terms of learning efficiency and parameter sensitivity, that are also demonstrated by the comprehensive experimental results in this paper.

  1. Neural network fusion capabilities for efficient implementation of tracking algorithms

    Science.gov (United States)

    Sundareshan, Malur K.; Amoozegar, Farid

    1997-03-01

    The ability to efficiently fuse information of different forms to facilitate intelligent decision making is one of the major capabilities of trained multilayer neural networks that is now being recognized. While development of innovative adaptive control algorithms for nonlinear dynamical plants that attempt to exploit these capabilities seems to be more popular, a corresponding development of nonlinear estimation algorithms using these approaches, particularly for application in target surveillance and guidance operations, has not received similar attention. We describe the capabilities and functionality of neural network algorithms for data fusion and implementation of tracking filters. To discuss details and to serve as a vehicle for quantitative performance evaluations, the illustrative case of estimating the position and velocity of surveillance targets is considered. Efficient target- tracking algorithms that can utilize data from a host of sensing modalities and are capable of reliably tracking even uncooperative targets executing fast and complex maneuvers are of interest in a number of applications. The primary motivation for employing neural networks in these applications comes from the efficiency with which more features extracted from different sensor measurements can be utilized as inputs for estimating target maneuvers. A system architecture that efficiently integrates the fusion capabilities of a trained multilayer neural net with the tracking performance of a Kalman filter is described. The innovation lies in the way the fusion of multisensor data is accomplished to facilitate improved estimation without increasing the computational complexity of the dynamical state estimator itself.

  2. Improving the efficiency of deconvolution algorithms for sound source localization

    DEFF Research Database (Denmark)

    Lylloff, Oliver Ackermann; Fernandez Grande, Efren; Agerkvist, Finn T.

    2015-01-01

    of the unknown acoustic source distribution and the beamformer's response to a point source, i.e., point-spread function. A significant limitation of deconvolution is, however, an additional computational effort compared to beamforming. In this paper, computationally efficient deconvolution algorithms...

  3. Computationally efficient model predictive control algorithms a neural network approach

    CERN Document Server

    Ławryńczuk, Maciej

    2014-01-01

    This book thoroughly discusses computationally efficient (suboptimal) Model Predictive Control (MPC) techniques based on neural models. The subjects treated include: ·         A few types of suboptimal MPC algorithms in which a linear approximation of the model or of the predicted trajectory is successively calculated on-line and used for prediction. ·         Implementation details of the MPC algorithms for feedforward perceptron neural models, neural Hammerstein models, neural Wiener models and state-space neural models. ·         The MPC algorithms based on neural multi-models (inspired by the idea of predictive control). ·         The MPC algorithms with neural approximation with no on-line linearization. ·         The MPC algorithms with guaranteed stability and robustness. ·         Cooperation between the MPC algorithms and set-point optimization. Thanks to linearization (or neural approximation), the presented suboptimal algorithms do not require d...

  4. An efficient community detection algorithm using greedy surprise maximization

    International Nuclear Information System (INIS)

    Jiang, Yawen; Jia, Caiyan; Yu, Jian

    2014-01-01

    Community detection is an important and crucial problem in complex network analysis. Although classical modularity function optimization approaches are widely used for identifying communities, the modularity function (Q) suffers from its resolution limit. Recently, the surprise function (S) was experimentally proved to be better than the Q function. However, up until now, there has been no algorithm available to perform searches to directly determine the maximal surprise values. In this paper, considering the superiority of the S function over the Q function, we propose an efficient community detection algorithm called AGSO (algorithm based on greedy surprise optimization) and its improved version FAGSO (fast-AGSO), which are based on greedy surprise optimization and do not suffer from the resolution limit. In addition, (F)AGSO does not need the number of communities K to be specified in advance. Tests on experimental networks show that (F)AGSO is able to detect optimal partitions in both simple and even more complex networks. Moreover, algorithms based on surprise maximization perform better than those algorithms based on modularity maximization, including Blondel–Guillaume–Lambiotte–Lefebvre (BGLL), Clauset–Newman–Moore (CNM) and the other state-of-the-art algorithms such as Infomap, order statistics local optimization method (OSLOM) and label propagation algorithm (LPA). (paper)

  5. CSA: An efficient algorithm to improve circular DNA multiple alignment

    Directory of Open Access Journals (Sweden)

    Pereira Luísa

    2009-07-01

    Full Text Available Abstract Background The comparison of homologous sequences from different species is an essential approach to reconstruct the evolutionary history of species and of the genes they harbour in their genomes. Several complete mitochondrial and nuclear genomes are now available, increasing the importance of using multiple sequence alignment algorithms in comparative genomics. MtDNA has long been used in phylogenetic analysis and errors in the alignments can lead to errors in the interpretation of evolutionary information. Although a large number of multiple sequence alignment algorithms have been proposed to date, they all deal with linear DNA and cannot handle directly circular DNA. Researchers interested in aligning circular DNA sequences must first rotate them to the "right" place using an essentially manual process, before they can use multiple sequence alignment tools. Results In this paper we propose an efficient algorithm that identifies the most interesting region to cut circular genomes in order to improve phylogenetic analysis when using standard multiple sequence alignment algorithms. This algorithm identifies the largest chain of non-repeated longest subsequences common to a set of circular mitochondrial DNA sequences. All the sequences are then rotated and made linear for multiple alignment purposes. To evaluate the effectiveness of this new tool, three different sets of mitochondrial DNA sequences were considered. Other tests considering randomly rotated sequences were also performed. The software package Arlequin was used to evaluate the standard genetic measures of the alignments obtained with and without the use of the CSA algorithm with two well known multiple alignment algorithms, the CLUSTALW and the MAVID tools, and also the visualization tool SinicView. Conclusion The results show that a circularization and rotation pre-processing step significantly improves the efficiency of public available multiple sequence alignment

  6. Efficient sequential and parallel algorithms for planted motif search.

    Science.gov (United States)

    Nicolae, Marius; Rajasekaran, Sanguthevar

    2014-01-31

    Motif searching is an important step in the detection of rare events occurring in a set of DNA or protein sequences. One formulation of the problem is known as (l,d)-motif search or Planted Motif Search (PMS). In PMS we are given two integers l and d and n biological sequences. We want to find all sequences of length l that appear in each of the input sequences with at most d mismatches. The PMS problem is NP-complete. PMS algorithms are typically evaluated on certain instances considered challenging. Despite ample research in the area, a considerable performance gap exists because many state of the art algorithms have large runtimes even for moderately challenging instances. This paper presents a fast exact parallel PMS algorithm called PMS8. PMS8 is the first algorithm to solve the challenging (l,d) instances (25,10) and (26,11). PMS8 is also efficient on instances with larger l and d such as (50,21). We include a comparison of PMS8 with several state of the art algorithms on multiple problem instances. This paper also presents necessary and sufficient conditions for 3 l-mers to have a common d-neighbor. The program is freely available at http://engr.uconn.edu/~man09004/PMS8/. We present PMS8, an efficient exact algorithm for Planted Motif Search. PMS8 introduces novel ideas for generating common neighborhoods. We have also implemented a parallel version for this algorithm. PMS8 can solve instances not solved by any previous algorithms.

  7. USE Efficiency -- Universities and Students for Energy Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Melandri, Daniela

    2010-09-15

    Universities and Student for Energy Efficiency is a European Project within the Intelligent Energy Programme. It intends to create a common stream for energy efficiency systems in university buildings. Universities and students are proposed as shining examples for energy efficiency solutions and behaviour. The Project involves 10 countries and has the aim to improve energy efficiency in university buildings. Students are the main actors of the project together with professors and technicians. To act on students means to act on direct future market players in diffusion of public opinions. A strong communication action supports the succeeding of the action.

  8. Advanced Energy Efficient Roof System

    Energy Technology Data Exchange (ETDEWEB)

    Jane Davidson

    2008-09-30

    Energy consumption in buildings represents 40 percent of primary U.S. energy consumption, split almost equally between residential (22%) and commercial (18%) buildings.1 Space heating (31%) and cooling (12%) account for approximately 9 quadrillion Btu. Improvements in the building envelope can have a significant impact on reducing energy consumption. Thermal losses (or gains) from the roof make up 14 percent of the building component energy load. Infiltration through the building envelope, including the roof, accounts for an additional 28 percent of the heating loads and 16 percent of the cooling loads. These figures provide a strong incentive to develop and implement more energy efficient roof systems. The roof is perhaps the most challenging component of the building envelope to change for many reasons. The engineered roof truss, which has been around since 1956, is relatively low cost and is the industry standard. The roof has multiple functions. A typical wood frame home lasts a long time. Building codes vary across the country. Customer and trade acceptance of new building products and materials may impede market penetration. The energy savings of a new roof system must be balanced with other requirements such as first and life-cycle costs, durability, appearance, and ease of construction. Conventional residential roof construction utilizes closely spaced roof trusses supporting a layer of sheathing and roofing materials. Gypsum board is typically attached to the lower chord of the trusses forming the finished ceiling for the occupied space. Often in warmer climates, the HVAC system and ducts are placed in the unconditioned and otherwise unusable attic. High temperature differentials and leaky ducts result in thermal losses. Penetrations through the ceilings are notoriously difficult to seal and lead to moisture and air infiltration. These issues all contribute to greater energy use and have led builders to consider construction of a conditioned attic. The

  9. Energy efficiency in the British housing stock: Energy demand and the Homes Energy Efficiency Database

    International Nuclear Information System (INIS)

    Hamilton, Ian G.; Steadman, Philip J.; Bruhns, Harry; Summerfield, Alex J.; Lowe, Robert

    2013-01-01

    The UK Government has unveiled an ambitious retrofit programme that seeks significant improvement to the energy efficiency of the housing stock. High quality data on the energy efficiency of buildings and their related energy demand is critical to supporting and targeting investment in energy efficiency. Using existing home improvement programmes over the past 15 years, the UK Government has brought together data on energy efficiency retrofits in approximately 13 million homes into the Homes Energy Efficiency Database (HEED), along with annual metered gas and electricity use for the period of 2004–2007. This paper describes the HEED sample and assesses its representativeness in terms of dwelling characteristics, the energy demand of different energy performance levels using linked gas and electricity meter data, along with an analysis of the impact retrofit measures has on energy demand. Energy savings are shown to be associated with the installation of loft and cavity insulation, and glazing and boiler replacement. The analysis illustrates this source of ‘in-action’ data can be used to provide empirical estimates of impacts of energy efficiency retrofit on energy demand and provides a source of empirical data from which to support the development of national housing energy efficiency retrofit policies. - Highlights: • The energy efficiency level for 50% of the British housing stock is described. • Energy demand is influenced by size and age and energy performance. • Housing retrofits (e.g. cavity insulation, glazing and boiler replacements) save energy. • Historic differences in energy performance show persistent long-term energy savings

  10. Energy Aware Simple Ant Routing Algorithm for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Sohail Jabbar

    2015-01-01

    Full Text Available Network lifetime is one of the most prominent barriers in deploying wireless sensor networks for large-scale applications because these networks employ sensors with nonrenewable scarce energy resources. Sensor nodes dissipate most of their energy in complex routing mechanisms. To cope with limited energy problem, we present EASARA, an energy aware simple ant routing algorithm based on ant colony optimization. Unlike most algorithms, EASARA strives to avoid low energy routes and optimizes the routing process through selection of least hop count path with more energy. It consists of three phases, that is, route discovery, forwarding node, and route selection. We have improved the route discovery procedure and mainly concentrate on energy efficient forwarding node and route selection, so that the network lifetime can be prolonged. The four possible cases of forwarding node and route selection are presented. The performance of EASARA is validated through simulation. Simulation results demonstrate the performance supremacy of EASARA over contemporary scheme in terms of various metrics.

  11. Investigating the Multi-memetic Mind Evolutionary Computation Algorithm Efficiency

    Directory of Open Access Journals (Sweden)

    M. K. Sakharov

    2017-01-01

    Full Text Available In solving practically significant problems of global optimization, the objective function is often of high dimensionality and computational complexity and of nontrivial landscape as well. Studies show that often one optimization method is not enough for solving such problems efficiently - hybridization of several optimization methods is necessary.One of the most promising contemporary trends in this field are memetic algorithms (MA, which can be viewed as a combination of the population-based search for a global optimum and the procedures for a local refinement of solutions (memes, provided by a synergy. Since there are relatively few theoretical studies concerning the MA configuration, which is advisable for use to solve the black-box optimization problems, many researchers tend just to adaptive algorithms, which for search select the most efficient methods of local optimization for the certain domains of the search space.The article proposes a multi-memetic modification of a simple SMEC algorithm, using random hyper-heuristics. Presents the software algorithm and memes used (Nelder-Mead method, method of random hyper-sphere surface search, Hooke-Jeeves method. Conducts a comparative study of the efficiency of the proposed algorithm depending on the set and the number of memes. The study has been carried out using Rastrigin, Rosenbrock, and Zakharov multidimensional test functions. Computational experiments have been carried out for all possible combinations of memes and for each meme individually.According to results of study, conducted by the multi-start method, the combinations of memes, comprising the Hooke-Jeeves method, were successful. These results prove a rapid convergence of the method to a local optimum in comparison with other memes, since all methods perform the fixed number of iterations at the most.The analysis of the average number of iterations shows that using the most efficient sets of memes allows us to find the optimal

  12. EDDA: An Efficient Distributed Data Replication Algorithm in VANETs.

    Science.gov (United States)

    Zhu, Junyu; Huang, Chuanhe; Fan, Xiying; Guo, Sipei; Fu, Bin

    2018-02-10

    Efficient data dissemination in vehicular ad hoc networks (VANETs) is a challenging issue due to the dynamic nature of the network. To improve the performance of data dissemination, we study distributed data replication algorithms in VANETs for exchanging information and computing in an arbitrarily-connected network of vehicle nodes. To achieve low dissemination delay and improve the network performance, we control the number of message copies that can be disseminated in the network and then propose an efficient distributed data replication algorithm (EDDA). The key idea is to let the data carrier distribute the data dissemination tasks to multiple nodes to speed up the dissemination process. We calculate the number of communication stages for the network to enter into a balanced status and show that the proposed distributed algorithm can converge to a consensus in a small number of communication stages. Most of the theoretical results described in this paper are to study the complexity of network convergence. The lower bound and upper bound are also provided in the analysis of the algorithm. Simulation results show that the proposed EDDA can efficiently disseminate messages to vehicles in a specific area with low dissemination delay and system overhead.

  13. EDDA: An Efficient Distributed Data Replication Algorithm in VANETs

    Directory of Open Access Journals (Sweden)

    Junyu Zhu

    2018-02-01

    Full Text Available Efficient data dissemination in vehicular ad hoc networks (VANETs is a challenging issue due to the dynamic nature of the network. To improve the performance of data dissemination, we study distributed data replication algorithms in VANETs for exchanging information and computing in an arbitrarily-connected network of vehicle nodes. To achieve low dissemination delay and improve the network performance, we control the number of message copies that can be disseminated in the network and then propose an efficient distributed data replication algorithm (EDDA. The key idea is to let the data carrier distribute the data dissemination tasks to multiple nodes to speed up the dissemination process. We calculate the number of communication stages for the network to enter into a balanced status and show that the proposed distributed algorithm can converge to a consensus in a small number of communication stages. Most of the theoretical results described in this paper are to study the complexity of network convergence. The lower bound and upper bound are also provided in the analysis of the algorithm. Simulation results show that the proposed EDDA can efficiently disseminate messages to vehicles in a specific area with low dissemination delay and system overhead.

  14. EDDA: An Efficient Distributed Data Replication Algorithm in VANETs

    Science.gov (United States)

    Zhu, Junyu; Huang, Chuanhe; Fan, Xiying; Guo, Sipei; Fu, Bin

    2018-01-01

    Efficient data dissemination in vehicular ad hoc networks (VANETs) is a challenging issue due to the dynamic nature of the network. To improve the performance of data dissemination, we study distributed data replication algorithms in VANETs for exchanging information and computing in an arbitrarily-connected network of vehicle nodes. To achieve low dissemination delay and improve the network performance, we control the number of message copies that can be disseminated in the network and then propose an efficient distributed data replication algorithm (EDDA). The key idea is to let the data carrier distribute the data dissemination tasks to multiple nodes to speed up the dissemination process. We calculate the number of communication stages for the network to enter into a balanced status and show that the proposed distributed algorithm can converge to a consensus in a small number of communication stages. Most of the theoretical results described in this paper are to study the complexity of network convergence. The lower bound and upper bound are also provided in the analysis of the algorithm. Simulation results show that the proposed EDDA can efficiently disseminate messages to vehicles in a specific area with low dissemination delay and system overhead. PMID:29439443

  15. Efficient AM Algorithms for Stochastic ML Estimation of DOA

    Directory of Open Access Journals (Sweden)

    Haihua Chen

    2016-01-01

    Full Text Available The estimation of direction-of-arrival (DOA of signals is a basic and important problem in sensor array signal processing. To solve this problem, many algorithms have been proposed, among which the Stochastic Maximum Likelihood (SML is one of the most concerned algorithms because of its high accuracy of DOA. However, the estimation of SML generally involves the multidimensional nonlinear optimization problem. As a result, its computational complexity is rather high. This paper addresses the issue of reducing computational complexity of SML estimation of DOA based on the Alternating Minimization (AM algorithm. We have the following two contributions. First using transformation of matrix and properties of spatial projection, we propose an efficient AM (EAM algorithm by dividing the SML criterion into two components. One depends on a single variable parameter while the other does not. Second when the array is a uniform linear array, we get the irreducible form of the EAM criterion (IAM using polynomial forms. Simulation results show that both EAM and IAM can reduce the computational complexity of SML estimation greatly, while IAM is the best. Another advantage of IAM is that this algorithm can avoid the numerical instability problem which may happen in AM and EAM algorithms when more than one parameter converges to an identical value.

  16. Energy efficient elevators and escalators

    Energy Technology Data Exchange (ETDEWEB)

    Patrao, Carlos; Fong, Joao; Almeida, Anibal de (Dep. Electrical Engineering, Univ. of Coimbra, Coimbra (Portugal)); Rivet, Luc

    2009-07-01

    Elevators and escalators are the crucial element that makes it practical to live and work several floors above ground - more than 4,3 million units are installed in Europe. Due to ageing of the European population the installation of elevators in single family houses is experiencing a significant growth, as well as equipping existing buildings. Elevators use about 4% of the electricity in tertiary sector buildings. High untapped saving potentials exist with respect to energy-efficient technologies, investment decisions and behavioural approaches, in these sectors. This paper presents preliminary results from the IEE project E4, whose overall objective is the improvement of the energy performance of elevators and escalators, in tertiary sector buildings and in multi family residential buildings. The project is characterizing people conveyors electricity consumption in the tertiary sector and in residential buildings in the EU. The installed park is characterised by a survey among elevators national associations in each country. An assessment of the barriers has been made in the first phase of the project and will be presented. Monitoring campaigns in elevators and escalators are being conducted in each country according to a common developed methodology. More than fifty elevators and escalators will be audited. This will allow the collection of load curves (start up, travel up and down, travel full and empty), including the characterization of standby consumption. Standby consumption of an elevator can represent up to 80% of the total energy consumed per year, and can be drastically reduced. This paper presents the preliminary results of the first ten audits performed in Portugal by Isr-UC.

  17. Market conditions affecting energy efficiency investments

    International Nuclear Information System (INIS)

    Seabright, J.

    1996-01-01

    The global energy efficiency market is growing, due in part to energy sector and macroeconomic reforms and increased awareness of the environmental benefits of energy efficiency. Many countries have promoted open, competitive markets, thereby stimulating economic growth. They have reduced or removed subsidies on energy prices, and governments have initiated energy conservation programs that have spurred the wider adoption of energy efficiency technologies. The market outlook for energy efficiency is quite positive. The global market for end-use energy efficiency in the industrial, residential and commercial sectors is now estimated to total more than $34 billion per year. There is still enormous technical potential to implement energy conservation measures and to upgrade to the best available technologies for new investments. For many technologies, energy-efficient designs now represent less than 10--20% of new product sales. Thus, creating favorable market conditions should be a priority. There are a number of actions that can be taken to create favorable market conditions for investing in energy efficiency. Fostering a market-oriented energy sector will lead to energy prices that reflect the true cost of supply. Policy initiatives should address known market failures and should support energy efficiency initiatives. And market transformation for energy efficiency products and services can be facilitated by creating an institutional and legal structure that favors commercially-oriented entities

  18. A constrained optimization algorithm for total energy minimization in electronic structure calculations

    International Nuclear Information System (INIS)

    Yang Chao; Meza, Juan C.; Wang Linwang

    2006-01-01

    A new direct constrained optimization algorithm for minimizing the Kohn-Sham (KS) total energy functional is presented in this paper. The key ingredients of this algorithm involve projecting the total energy functional into a sequence of subspaces of small dimensions and seeking the minimizer of total energy functional within each subspace. The minimizer of a subspace energy functional not only provides a search direction along which the KS total energy functional decreases but also gives an optimal 'step-length' to move along this search direction. Numerical examples are provided to demonstrate that this new direct constrained optimization algorithm can be more efficient than the self-consistent field (SCF) iteration

  19. An Efficient Inductive Genetic Learning Algorithm for Fuzzy Relational Rules

    Directory of Open Access Journals (Sweden)

    Antonio

    2012-04-01

    Full Text Available Fuzzy modelling research has traditionally focused on certain types of fuzzy rules. However, the use of alternative rule models could improve the ability of fuzzy systems to represent a specific problem. In this proposal, an extended fuzzy rule model, that can include relations between variables in the antecedent of rules is presented. Furthermore, a learning algorithm based on the iterative genetic approach which is able to represent the knowledge using this model is proposed as well. On the other hand, potential relations among initial variables imply an exponential growth in the feasible rule search space. Consequently, two filters for detecting relevant potential relations are added to the learning algorithm. These filters allows to decrease the search space complexity and increase the algorithm efficiency. Finally, we also present an experimental study to demonstrate the benefits of using fuzzy relational rules.

  20. Energy efficiency: from principles to reality

    International Nuclear Information System (INIS)

    Baudry, Paul; Ballot-Miguel, Benedicte; Binet, Guillaume; Bordigoni, Mathieu; Decellas, Fabrice; Hauser, Chantal; Hita, Laurent; Laurent, Marie-Helene; Osso, Dominique; Peureux, Jean-Louis; Pham Van Cang, Christian

    2015-01-01

    This collective publication proposes a comprehensive overview of issues related to energy efficiency: associated stakes, methods of assessment of energy savings and of their costs, methods of action for energy efficiency policies, application in the housing, office building and industry sectors based on energy consumption modes in these different sectors, and main technologies aimed at improving energy efficiency. The first chapter proposes an historical perspective on energy, outlines the crucial role of energy efficiency in today's and tomorrow's contexts, and discusses which are the different levers of action to increase this efficiency. The next chapters address methods of assessment of energy efficiency, identify and discuss the use of different potential sources of energy saving, propose an overview of the various objectives and instruments of policies for energy efficiency, and address the issue of energy efficiency in the housing sector, in the office building sector, and in the industry sector by indicating the current levels of energy consumption, by identifying the various potential sources of energy saving, and by indicating available technologies aimed at improving energy efficiency

  1. Health, Energy Efficiency and Climate Change

    Science.gov (United States)

    Climate change is becoming a driving force for improving energy efficiency because saving energy can help reduce the greenhouse gas emissions that contribute to climate change. However, it is important to balance energy saving measures with ventilation...

  2. An Adaptive Power Efficient Packet Scheduling Algorithm for Wimax Networks

    OpenAIRE

    R Murali Prasad; P. Satish Kumar

    2010-01-01

    Admission control schemes and scheduling algorithms are designed to offer QoS services in 802.16/802.16e networks and a number of studies have investigated these issues. But the channel condition and priority of traffic classes are very rarely considered in the existing scheduling algorithms. Although a number of energy saving mechanisms have been proposed for the IEEE 802.16e, to minimize the power consumption of IEEE 802.16e mobile stations with multiple real-time connections has not yet be...

  3. Industrial energy efficiency: A policy perspective

    International Nuclear Information System (INIS)

    Chandler, W.U.

    1990-01-01

    Policies that promote energy efficiency can work; but potential energy savings are unlikely to be realized without effective policy leadership. This article discusses the opportunities in several countries for increasing energy efficiency. Both ''open'' and centrally planned economies could be much more energy efficient. In the United States, for example, the government needs to stimulate energy efficiency. This could be done by sponsoring research to develop new processes, creating favourable financial conditions for investment in efficiency, and making the advantages of energy efficiency technologies better known. International collaboration in sponsoring research and transfer technologies could be of the greatest importance in improving energy efficiency in countries with centrally planned economies, including the Soviet Union, as well as in developing countries. Favourable conditions for achieving both economic development and environmental protection can be created through cooperation on the international level. (author). 24 refs, 4 tabs

  4. An algorithm for testing the efficient market hypothesis.

    Directory of Open Access Journals (Sweden)

    Ioana-Andreea Boboc

    Full Text Available The objective of this research is to examine the efficiency of EUR/USD market through the application of a trading system. The system uses a genetic algorithm based on technical analysis indicators such as Exponential Moving Average (EMA, Moving Average Convergence Divergence (MACD, Relative Strength Index (RSI and Filter that gives buying and selling recommendations to investors. The algorithm optimizes the strategies by dynamically searching for parameters that improve profitability in the training period. The best sets of rules are then applied on the testing period. The results show inconsistency in finding a set of trading rules that performs well in both periods. Strategies that achieve very good returns in the training period show difficulty in returning positive results in the testing period, this being consistent with the efficient market hypothesis (EMH.

  5. An algorithm for testing the efficient market hypothesis.

    Science.gov (United States)

    Boboc, Ioana-Andreea; Dinică, Mihai-Cristian

    2013-01-01

    The objective of this research is to examine the efficiency of EUR/USD market through the application of a trading system. The system uses a genetic algorithm based on technical analysis indicators such as Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI) and Filter that gives buying and selling recommendations to investors. The algorithm optimizes the strategies by dynamically searching for parameters that improve profitability in the training period. The best sets of rules are then applied on the testing period. The results show inconsistency in finding a set of trading rules that performs well in both periods. Strategies that achieve very good returns in the training period show difficulty in returning positive results in the testing period, this being consistent with the efficient market hypothesis (EMH).

  6. State-Level Benefits of Energy Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Tonn, Bruce Edward [ORNL

    2007-02-01

    This report describes benefits attributable to state-level energy efficiency programs. Nationwide, state-level energy efficiency programs have targeted all sectors of the economy and have employed a wide range of methods to promote energy efficiency. Standard residential and industrial programs typically identify between 20 to 30% energy savings in homes and plants, respectively. Over a 20 year period of time, an average state that aggressively pursues even a limited array of energy efficiency programs can potentially reduce total state energy use by as much as 20%. Benefit-cost ratios of effective energy efficiency programs typically exceed 3 to 1 and are much higher when non-energy and macroeconomic benefits are included. Indeed, energy efficiency and associated programs and investments can create significant numbers of new jobs and enhance state tax revenues. Several states have incorporated energy efficiency into their economic development programs. It should also be noted that increasing amounts of venture capital are being invested in the energy sector in general and in specific technologies like solar power in particular. Well-designed energy efficiency programs can be expected to help overcome numerous barriers to the market penetration of energy efficient technologies and accelerate the market penetration of the technologies.

  7. State-level benefits of energy efficiency

    International Nuclear Information System (INIS)

    Tonn, Bruce; Peretz, Jean H.

    2007-01-01

    This paper describes benefits attributable to state-level energy efficiency programs. Nationwide, state-level energy efficiency programs have targeted all sectors of the economy and have employed a wide range of methods to promote energy efficiency. Standard residential and industrial programs typically identify between 20% and 30% energy savings in homes and plants, respectively. Over a 20-year period of time, an average state that aggressively pursues even a limited array of energy efficiency programs can potentially reduce total state energy use by as much as 20%. Well-designed energy efficiency programs can be expected to help overcome numerous barriers to the market penetration of energy efficient technologies and accelerate the market penetration of the technologies. Energy efficiency programs are cost-effective; typical benefit-cost ratios exceed 3:1 and are much higher when non-energy and macroeconomic benefits are included. Indeed, energy efficiency and associated programs and investments can create significant numbers of new jobs and enhance state tax revenues. Several states have incorporated energy efficiency into their economic development programs. It should also be noted that increasing amounts of venture capital are being invested in the energy sector in general and in specific technologies like solar power in particular. (author)

  8. The quantum walk search algorithm: Factors affecting efficiency

    OpenAIRE

    Lovett, Neil B.; Everitt, Matthew; Heath, Robert M.; Kendon, Viv

    2011-01-01

    We numerically study the quantum walk search algorithm of Shenvi, Kempe and Whaley [PRA \\textbf{67} 052307] and the factors which affect its efficiency in finding an individual state from an unsorted set. Previous work has focused purely on the effects of the dimensionality of the dataset to be searched. Here, we consider the effects of interpolating between dimensions, connectivity of the dataset, and the possibility of disorder in the underlying substrate: all these factors affect the effic...

  9. An Efficient Algorithm for the Maximum Distance Problem

    Directory of Open Access Journals (Sweden)

    Gabrielle Assunta Grün

    2001-12-01

    Full Text Available Efficient algorithms for temporal reasoning are essential in knowledge-based systems. This is central in many areas of Artificial Intelligence including scheduling, planning, plan recognition, and natural language understanding. As such, scalability is a crucial consideration in temporal reasoning. While reasoning in the interval algebra is NP-complete, reasoning in the less expressive point algebra is tractable. In this paper, we explore an extension to the work of Gerevini and Schubert which is based on the point algebra. In their seminal framework, temporal relations are expressed as a directed acyclic graph partitioned into chains and supported by a metagraph data structure, where time points or events are represented by vertices, and directed edges are labelled with < or ≤. They are interested in fast algorithms for determining the strongest relation between two events. They begin by developing fast algorithms for the case where all points lie on a chain. In this paper, we are interested in a generalization of this, namely we consider the problem of finding the maximum ``distance'' between two vertices in a chain ; this problem arises in real world applications such as in process control and crew scheduling. We describe an O(n time preprocessing algorithm for the maximum distance problem on chains. It allows queries for the maximum number of < edges between two vertices to be answered in O(1 time. This matches the performance of the algorithm of Gerevini and Schubert for determining the strongest relation holding between two vertices in a chain.

  10. Efficient Algorithms for Electrostatic Interactions Including Dielectric Contrasts

    Directory of Open Access Journals (Sweden)

    Christian Holm

    2013-10-01

    Full Text Available Coarse-grained models of soft matter are usually combined with implicit solvent models that take the electrostatic polarizability into account via a dielectric background. In biophysical or nanoscale simulations that include water, this constant can vary greatly within the system. Performing molecular dynamics or other simulations that need to compute exact electrostatic interactions between charges in those systems is computationally demanding. We review here several algorithms developed by us that perform exactly this task. For planar dielectric surfaces in partial periodic boundary conditions, the arising image charges can be either treated with the MMM2D algorithm in a very efficient and accurate way or with the electrostatic layer correction term, which enables the user to use his favorite 3D periodic Coulomb solver. Arbitrarily-shaped interfaces can be dealt with using induced surface charges with the induced charge calculation (ICC* algorithm. Finally, the local electrostatics algorithm, MEMD(Maxwell Equations Molecular Dynamics, even allows one to employ a smoothly varying dielectric constant in the systems. We introduce the concepts of these three algorithms and an extension for the inclusion of boundaries that are to be held fixed at a constant potential (metal conditions. For each method, we present a showcase application to highlight the importance of dielectric interfaces.

  11. Measuring energy efficiency: Is energy intensity a good evidence base?

    International Nuclear Information System (INIS)

    Proskuryakova, L.; Kovalev, A.

    2015-01-01

    Highlights: • Energy intensity measure reflects consumption, not energy efficiency. • Thermodynamic indicators should describe energy efficiency at all levels. • These indicators should have no reference to economic or financial parameters. • A set of energy efficiency indicators should satisfy several basic principles. • There are trade-offs between energy efficiency, power and costs. - Abstract: There is a widespread assumption in energy statistics and econometrics that energy intensity and energy efficiency are equivalent measures of energy performance of economies. The paper points to the discrepancy between the engineering concept of energy efficiency and the energy intensity as it is understood in macroeconomic statistics. This double discrepancy concerns definitions (while engineering concept of energy efficiency is based on the thermodynamic definition, energy intensity includes economic measures) and use. With regard to the latter, the authors conclude that energy intensity can only provide indirect and delayed evidence of technological and engineering energy efficiency of energy conversion processes, which entails shortcomings for management and policymaking. Therefore, we suggest to stop considering subsectoral, sectoral and other levels of energy intensities as aggregates of lower-level energy efficiency. It is suggested that the insufficiency of energy intensity indicators can be compensated with the introduction of thermodynamic indicators describing energy efficiency at the physical, technological, enterprise, sub-sector, sectoral and national levels without references to any economic or financial parameters. Structured statistical data on thermodynamic efficiency is offered as a better option for identifying break-through technologies and technological bottle-necks that constrain efficiency advancements. It is also suggested that macro-level thermodynamic indicators should be based on the thermodynamic first law efficiency and the energy

  12. Energy efficiency of mobile soft robots.

    Science.gov (United States)

    Shui, Langquan; Zhu, Liangliang; Yang, Zhe; Liu, Yilun; Chen, Xi

    2017-11-15

    The performance of mobile soft robots is usually characterized by their locomotion/velocity efficiency, whereas the energy efficiency is a more intrinsic and fundamental criterion for the performance evaluation of independent or integrated soft robots. In this work, a general framework is established to evaluate the energy efficiency of mobile soft robots by considering the efficiency of the energy source, actuator and locomotion, and some insights for improving the efficiency of soft robotic systems are presented. Proposed as the ratio of the desired locomotion kinetic energy to the input mechanical energy, the energy efficiency of locomotion is found to play a critical role in determining the overall energy efficiency of soft robots. Four key factors related to the locomotion energy efficiency are identified, that is, the locomotion modes, material properties, geometric sizes, and actuation states. It is found that the energy efficiency of most mobile soft robots reported in the literature is surprisingly low (mostly below 0.1%), due to the inefficient mechanical energy that essentially does not contribute to the desired locomotion. A comparison of the locomotion energy efficiency for several representative locomotion modes in the literature is presented, showing a descending ranking as: jumping ≫ fish-like swimming > snake-like slithering > rolling > rising/turning over > inchworm-like inching > quadruped gait > earthworm-like squirming. Besides, considering the same locomotion mode, soft robots with lower stiffness, higher density and larger size tend to have higher locomotion energy efficiency. Moreover, a periodic pulse actuation instead of a continuous actuation mode may significantly reduce the input mechanical energy, thus improving the locomotion energy efficiency, especially when the pulse actuation matches the resonant states of the soft robots. The results presented herein indicate a large and necessary space for improving the locomotion energy

  13. Radon and energy efficient homes

    International Nuclear Information System (INIS)

    Burkart, W.

    1981-09-01

    Radon and its daughters in indoor air are presently responsible for dose equivalents of about 31 mSv/year (3 rem/year) to parts of the respiratory tract. Linear extrapolation from the dose response values of uranium miners heavily exposed to radon and its decay products would suggest that almost all lung cancers in the non-smoking population are caused by environmental 222 Rn. Using epidemiological data on the types of lung cancer found in non-smokers of the general public as compared to the miners, a smaller effect of low level radon exposure is assumed, which would result in a lung cancer mortality rate due to radon of about 10 deaths per year and million or 25% of the non-smoker rate. Higher indoor radon concentrations in energy efficient homes mostly caused by reduced air exchange rates will lead to a several fold increase of the lung cancer incidence from radon. Based on the above assumption, about 100 additional lung cancer deaths/year-million will result both from an increase in radionuclide concentrations in indoor air and a concomitant rise in effectiveness of radiation to cause cancer with higher exposure levels. Possibilities to reduce indoor radon levels in existing buildings and costs involved are discussed. (Auth.)

  14. Promoting energy efficiency in Egyptian industry

    International Nuclear Information System (INIS)

    Selim, M.H.

    1990-01-01

    The energy situation in Egypt is characterized by a rather high energy demand, a high annual increase in energy consumption, inefficient utilization of energy, and heavily subsidized energy prices. Energy efficiency is therefore considered to be a matter of top priority, as it would lead to substantial savings. A national policy for efficient use of energy in industry has been outlined, including the establishment of an Industrial Energy Conservation Centre (IECC), the training and upgrading of energy management specialists, and the introduction of energy efficiency technologies in industrial plants. In this article the assistance that international organizations and donors can give to energy efficiency programmes is demonstrated. The results obtained so far are discussed and the lessons, findings and experience gained are outlined. (author). 1 tab

  15. Research on allocation efficiency of the daisy chain allocation algorithm

    Science.gov (United States)

    Shi, Jingping; Zhang, Weiguo

    2013-03-01

    With the improvement of the aircraft performance in reliability, maneuverability and survivability, the number of the control effectors increases a lot. How to distribute the three-axis moments into the control surfaces reasonably becomes an important problem. Daisy chain method is simple and easy to be carried out in the design of the allocation system. But it can not solve the allocation problem for entire attainable moment subset. For the lateral-directional allocation problem, the allocation efficiency of the daisy chain can be directly measured by the area of its subset of attainable moments. Because of the non-linear allocation characteristic, the subset of attainable moments of daisy-chain method is a complex non-convex polygon, and it is difficult to solve directly. By analyzing the two-dimensional allocation problems with a "micro-element" idea, a numerical calculation algorithm is proposed to compute the area of the non-convex polygon. In order to improve the allocation efficiency of the algorithm, a genetic algorithm with the allocation efficiency chosen as the fitness function is proposed to find the best pseudo-inverse matrix.

  16. 75 FR 69655 - Energy Efficiency and Renewable Energy Advisory Committee (ERAC)

    Science.gov (United States)

    2010-11-15

    ... DEPARTMENT OF ENERGY Office of Energy Efficiency and Renewable Energy Energy Efficiency and Renewable Energy Advisory Committee (ERAC) AGENCY: Department of Energy, Office of Energy Efficiency and... Energy Efficiency and Renewable Energy Advisory [[Page 69656

  17. Energy Efficient Design for Two-Way AF Relay Networks

    Directory of Open Access Journals (Sweden)

    Yong Li

    2014-01-01

    Full Text Available Conventional designs on two-way relay networks mainly focus on the spectral efficiency (SE rather than energy efficiency (EE. In this paper, we consider a system where two source nodes communicate with each other via an amplify-and-forward (AF relay node and study the power allocation schemes to maximize EE while ensuring a certain data rate. We propose an optimal energy-efficient power allocation algorithm based on iterative search technique. In addition, a closed-form suboptimal solution is derived with reduced complexity and negligible performance degradation. Numerical results show that the proposed schemes can achieve considerable EE improvement compared with conventional designs.

  18. Energy Efficiency Resources to Support State Energy Planning

    Energy Technology Data Exchange (ETDEWEB)

    Office of Strategic Programs, Strategic Priorities and Impact Analysis Team

    2017-06-01

    An early step for most energy efficiency planning is to identify and quantify energy savings opportunities, and then to understand how to access this potential. The U.S. Department of Energy’s Office of Energy Efficiency and Renewable Energy offers resources that can help with both of these steps. This fact sheet presents those resources. The resources are also available on the DOE State and Local Solution Center on the "Energy Efficiency: Savings Opportunities and Benefits" page: https://energy.gov/eere/slsc/energy-efficiency-savings-opportunities-and-benefits.

  19. A Novel Algorithm for Efficient Downlink Packet Scheduling for Multiple-Component-Carrier Cellular Systems

    Directory of Open Access Journals (Sweden)

    Yao-Liang Chung

    2016-11-01

    Full Text Available The simultaneous aggregation of multiple component carriers (CCs for use by a base station constitutes one of the more promising strategies for providing substantially enhanced bandwidths for packet transmissions in 4th and 5th generation cellular systems. To the best of our knowledge, however, few previous studies have undertaken a thorough investigation of various performance aspects of the use of a simple yet effective packet scheduling algorithm in which multiple CCs are aggregated for transmission in such systems. Consequently, the present study presents an efficient packet scheduling algorithm designed on the basis of the proportional fair criterion for use in multiple-CC systems for downlink transmission. The proposed algorithm includes a focus on providing simultaneous transmission support for both real-time (RT and non-RT traffic. This algorithm can, when applied with sufficiently efficient designs, provide adequate utilization of spectrum resources for the purposes of transmissions, while also improving energy efficiency to some extent. According to simulation results, the performance of the proposed algorithm in terms of system throughput, mean delay, and fairness constitute substantial improvements over those of an algorithm in which the CCs are used independently instead of being aggregated.

  20. Energy efficiency in industry and transportation

    International Nuclear Information System (INIS)

    Ruscoe, J.

    1990-01-01

    The discussion of energy issues has changed since the 1970s as improvements have been made in energy efficiency. The present capacity for surplus energy production in economically advanced countries reflects a decrease in energy requirements as well as new production sources. At the same time, the energy crisis can be seen as having discouraged improvements in energy efficiency because of its negative impact on growth. And the centrally planned economies remain highly inefficient energy users. Economic growth encourages the use of new technologies which are likely to be less energy-intensive than those they replace. Permanent gains in energy efficiency are derived from structural changes in the economy and from the introduction of energy-efficient technologies. This article addresses the prospect of increased energy conservation, particularly in industry (the end-use which consumes the most energy) and transportation. Although investments in projects to promote energy conservation are more cost-effective and environment-friendly than investments in energy supply, there is still widespread support for the latter. Developing countries naturally give preference to quantitative growth, with an increasing consumption of energy, but in these countries, too, more efficient use of energy could greatly reduce demand. The policies of international development agencies which still favour increasing energy supply over conservation need to change. Awareness of the need to reduce energy demand is, however, growing worldwide. (author)

  1. An Efficient ABC_DE_Based Hybrid Algorithm for Protein–Ligand Docking

    Directory of Open Access Journals (Sweden)

    Boxin Guan

    2018-04-01

    Full Text Available Protein–ligand docking is a process of searching for the optimal binding conformation between the receptor and the ligand. Automated docking plays an important role in drug design, and an efficient search algorithm is needed to tackle the docking problem. To tackle the protein–ligand docking problem more efficiently, An ABC_DE_based hybrid algorithm (ADHDOCK, integrating artificial bee colony (ABC algorithm and differential evolution (DE algorithm, is proposed in the article. ADHDOCK applies an adaptive population partition (APP mechanism to reasonably allocate the computational resources of the population in each iteration process, which helps the novel method make better use of the advantages of ABC and DE. The experiment tested fifty protein–ligand docking problems to compare the performance of ADHDOCK, ABC, DE, Lamarckian genetic algorithm (LGA, running history information guided genetic algorithm (HIGA, and swarm optimization for highly flexible protein–ligand docking (SODOCK. The results clearly exhibit the capability of ADHDOCK toward finding the lowest energy and the smallest root-mean-square deviation (RMSD on most of the protein–ligand docking problems with respect to the other five algorithms.

  2. Development of Energy Efficiency Indicators in Russia

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-07-01

    Russia is sometimes referred to as 'the Saudi Arabia of energy efficiency'; its vast potential to reduce energy consumption can be considered a significant 'energy reserve'. Russia, recognising the benefits of more efficient use of energy, is taking measures to exploit this potential. The president has set the goal to reduce energy intensity by 40% between 2007 and 2020. In the past few years, the IEA has worked closely with Russian authorities to support the development of energy efficiency indicators in Russia, critical to an effective implementation and monitoring of Russia's ambitious energy intensity and efficiency goals. The key findings of the IEA work with Russia on developing energy efficiency indicators form the core of this report.

  3. Energy Storage System Control Algorithm by Operating Target Power to Improve Energy Sustainability of Smart Home

    Directory of Open Access Journals (Sweden)

    Byeongkwan Kang

    2018-01-01

    Full Text Available As energy issues are emerging around the world, a variety of smart home technologies aimed at realizing zero energy houses are being introduced. Energy storage system (ESS for smart home energy independence is increasingly gaining interest. However, limitations exist in that most of them are controlled according to time schedules or used in conjunction with photovoltaic (PV generation systems. In consideration of load usage patterns and PV generation of smart home, this study proposes an ESS control algorithm that uses constant energy of energy network while making maximum use of ESS. Constant energy means that the load consumes a certain amount of power under all conditions, which translates to low variability. The proposed algorithm makes a smart home a load of energy network with low uncertainty and complexity. The simulation results show that the optimal ESS operating target power not only makes the smart home use power constantly from the energy network, but also maximizes utilization of the ESS. In addition, since the smart home is a load that uses constant energy, it has the advantage of being able to operate an efficient energy network from the viewpoint of energy providers.

  4. EFFICIENT ADAPTIVE STEGANOGRAPHY FOR COLOR IMAGESBASED ON LSBMR ALGORITHM

    Directory of Open Access Journals (Sweden)

    B. Sharmila

    2012-02-01

    Full Text Available Steganography is the art of hiding the fact that communication is taking place, by hiding information in other medium. Many different carrier file formats can be used, but digital images are the most popular because of their frequent use on the Internet. For hiding secret information in images, there exists a large variety of steganographic techniques. The Least Significant Bit (LSB based approach is a simplest type of steganographic algorithm. In all the existing approaches, the decision of choosing the region within a cover image is performed without considering the relationship between image content and the size of secret message. Thus, the plain regions in the cover will be ruin after data hiding even at a low data rate. Hence choosing the edge region for data hiding will be a solution. Many algorithms are deal with edges in images for data hiding. The Paper 'Edge adaptive image steganography based on LSBMR algorithm' is a LSB steganography presented the results of algorithms on gray-scale images only. This paper presents the results of analyzing the performance of edge adaptive steganography for colored images (JPEG. The algorithms have been slightly modified for colored image implementation and are compared on the basis of evaluation parameters like peak signal noise ratio (PSNR and mean square error (MSE. This method can select the edge region depending on the length of secret message and difference between two consecutive bits in the cover image. For length of message is short, only small edge regions are utilized while on leaving other region as such. When the data rate increases, more regions can be used adaptively for data hiding by adjusting the parameters. Besides this, the message is encrypted using efficient cryptographic algorithm which further increases the security.

  5. Benefits for whom? Energy efficiency within the efficient market

    International Nuclear Information System (INIS)

    Chello, Dario

    2015-01-01

    How should the lack of an efficient energy market affect the design of energy efficiency policies and their implementation? What the consequences of an inefficient energy market on end users’ behaviour? This article tries to give an answer to such questions, by considering the decision making of domestic users following a few fundamental concepts of behavioural economics. The mechanism of price formation in the market, with particular reference to the internal energy market in Europe, will be examined and we will show that price remains the inflexible attribute in making an energy choice. Then, some conclusions will be addressed to policy makers on how to overcome the barriers illustrated.

  6. Promotion of energy efficiency in enterprises

    International Nuclear Information System (INIS)

    Beltrani, G.; Schelske, O.; Peter, D.; Oettli, B.

    2003-01-01

    This comprehensive report for the Swiss Federal Office of Energy (SFOE) presents the results of a study made within the framework of the research programme on energy-economics fundamentals on how the energy efficiency of enterprises can be improved. The report first examines the present state of affairs in Swiss enterprises and looks into the interaction of energy efficiency and environmental management systems. ISO 14001 certification is discussed and examples are given of the responses of various enterprises to a survey concerning the role of energy efficiency in environmental management. Both hindrances and success factors for the embedding of energy-efficiency measures in environmental management activities are discussed and examples are given. Instruments available in Switzerland and from abroad that can be used to promote energy efficiency in enterprises are discussed. Four particular instruments are presented; guidelines and computer-based tools that help in the making of energy-relevant investment decisions, incentives to take part in an energy-benchmark system for small and medium-sized enterprises (SME), low-interest loans for investments in energy-efficiency for SMEs and the closer definition of 'continuous improvement' of energy efficiency within the framework of ISO 14001. The results of a survey amongst those involved are discussed. The report is concluded with recommendations for the implementation of the guidelines and for improvements in the integration of energy efficiency in environmental management systems

  7. Energy efficiency practices among road freight hauliers

    International Nuclear Information System (INIS)

    Liimatainen, Heikki; Stenholm, Pekka; Tapio, Petri; McKinnon, Alan

    2012-01-01

    The reduction of greenhouse gases (GHG) is a highly prevalent public policy goal among European Union member countries. In the new White Paper on transport, the role of road freight transports in this is strongly emphasized. This far, however, the efficiency practices utilised in logistics firms are less studied. Drawing from policy goals and new survey data on 295 road transport firms our results show that hauliers are aware of the possible energy efficiency actions but lack the knowledge and resources to fully utilize them. Energy efficiency seems also to be unimportant for many shippers, so there are no incentives for hauliers to improve it. Examples from various countries show that clear energy efficiency improvements can be achieved with active cooperation between hauliers, shippers and policy makers. Such cooperation can be developed in Finland through the sectoral energy efficiency agreements. The novelty and the utility of these results allow scholars to answer important open questions in the national-level determinants of enhancing energy efficiency practices among road freight hauliers, and contribute to our understanding of how these can be fostered in public policies. - Highlights: ► Hauliers still monitor their fuel consumption with unsophisticated methods. ► Larger hauliers are more active in energy efficiency related issues than smaller ones. ► Hauliers are aware of energy efficiency actions, but lack knowledge of implementation. ► Finnish energy efficiency agreement provides a good framework for public policies. ► Companies that monitor and improve energy efficiency may gain competitive advantage.

  8. Industrial Energy Efficiency and Climate Change Mitigation

    Energy Technology Data Exchange (ETDEWEB)

    Worrell, Ernst; Bernstein, Lenny; Roy, Joyashree; Price, Lynn; de la Rue du Can, Stephane; Harnisch, Jochen

    2009-02-02

    Industry contributes directly and indirectly (through consumed electricity) about 37% of the global greenhouse gas emissions, of which over 80% is from energy use. Total energy-related emissions, which were 9.9 GtCO2 in 2004, have grown by 65% since 1971. Even so, industry has almost continuously improved its energy efficiency over the past decades. In the near future, energy efficiency is potentially the most important and cost-effective means for mitigating greenhouse gas emissions from industry. This paper discusses the potential contribution of industrial energy efficiency technologies and policies to reduce energy use and greenhouse gas emissions to 2030.

  9. Speech for the defense of energy efficiency

    International Nuclear Information System (INIS)

    Escande, Ph.; Laforce, M.

    2006-01-01

    This article reprints an interview of C. Mandil, executive director of IEA who comments some of the recent energy policy events: the recent mergers between European energy companies and the competition on energy markets, the role and share of nuclear energy and renewable energies in the energy mix, the Russian gas affair and the energy efficiency in Russia, the oil prices and the Iranian threat of exports disruption, the peak oil and the decay of petroleum production, the energy efficiency in China, the global warming and the Kyoto protocol. (J.S.)

  10. Energy efficiency trends and policy in Slovenia

    International Nuclear Information System (INIS)

    Al-Mansour, Fouad

    2011-01-01

    The energy dependency of Slovenia is high (52.1%), but it is a little lower than the average energy dependency in the EU 27 (53.8%). Slovenia imports all its petroleum products and natural gas and partly coal and electricity. The energy intensity of Slovenia is higher by about 50% than the average in the EU 27. The target of the EU Directive on energy end-use efficiency and energy services adopted in 2006 is to achieve a 9% improvement of EE (energy efficiency) within the period 2008-2016. The new target of the EU climate and energy package '20-20-20 plan' is a 20% increase in EE by 2020. Since 1991 the Slovenian government has been supporting energy efficiency activities. The improvement of EE was one of the targets of strategic energy documents ReSROE (Resolution on the Strategy of Use and Supply of Energy in Slovenia from 1996 and ReNEP (Resolution on the National Energy Programme) from 2004 adopted by the Slovenian National Assembly (Parliament) in previous years. The Energy Act adopted in 1999 defines the objective of energy policy as giving priority to EE and utilization of renewable energy sources. The goals of the 'National Energy Action Plan 2008-2016 (NEEAP)' adopted by the Slovenian government in 2008 include a set of energy efficiency improvement instruments in the residential, industrial, transport and tertiary sectors. The target of the NEEAP is to save final energy in the 2008-2016 period, amounting to at least 4261 GWh or 9% of baseline consumption. The indicators of energy efficiency trends show considerable improvement in the period from 1998 to 2007. The improvement of EE was reached in all sectors: manufacturing, transport and households. The paper analyses the structure, trends of energy consumption and energy efficiency indicators by sectors of economic activity. A review of energy efficiency policy and measures is described in the paper.

  11. ProxImaL: efficient image optimization using proximal algorithms

    KAUST Repository

    Heide, Felix

    2016-07-11

    Computational photography systems are becoming increasingly diverse, while computational resources-for example on mobile platforms-are rapidly increasing. As diverse as these camera systems may be, slightly different variants of the underlying image processing tasks, such as demosaicking, deconvolution, denoising, inpainting, image fusion, and alignment, are shared between all of these systems. Formal optimization methods have recently been demonstrated to achieve state-of-the-art quality for many of these applications. Unfortunately, different combinations of natural image priors and optimization algorithms may be optimal for different problems, and implementing and testing each combination is currently a time-consuming and error-prone process. ProxImaL is a domain-specific language and compiler for image optimization problems that makes it easy to experiment with different problem formulations and algorithm choices. The language uses proximal operators as the fundamental building blocks of a variety of linear and nonlinear image formation models and cost functions, advanced image priors, and noise models. The compiler intelligently chooses the best way to translate a problem formulation and choice of optimization algorithm into an efficient solver implementation. In applications to the image processing pipeline, deconvolution in the presence of Poisson-distributed shot noise, and burst denoising, we show that a few lines of ProxImaL code can generate highly efficient solvers that achieve state-of-the-art results. We also show applications to the nonlinear and nonconvex problem of phase retrieval.

  12. Energy efficiency rating of districts, case Finland

    International Nuclear Information System (INIS)

    Hedman, Åsa; Sepponen, Mari; Virtanen, Mikko

    2014-01-01

    There is an increasing political pressure on the city planning to create more energy efficient city plans. Not only do the city plans have to enable and promote energy efficient solutions, but it also needs to be clearly assessed how energy efficient the plans are. City planners often have no or poor know how about energy efficiency and building technologies which makes it difficult for them to answer to this need without new guidelines and tools. An easy to use tool for the assessment of the energy efficiency of detailed city plans was developed. The aim of the tool is for city planners to easily be able to assess the energy efficiency of the proposed detailed city plan and to be able to compare the impacts of changes in the plan. The tool is designed to be used with no in-depth knowledge about energy or building technology. With a wide use of the tool many missed opportunities for improving energy efficiency can be avoided. It will provide better opportunities for sustainable solutions leading to less harmful environmental impact and reduced emissions. - Highlights: • We have created a tool for assessing energy efficiency of detailed city plans. • The energy source is the most important factor for efficiency of districts in Finland. • Five case districts in Finland were analyzed. • In this paper one residential district has in-depth sensitivity analyses done

  13. Transition Towards Energy Efficient Machine Tools

    CERN Document Server

    Zein, André

    2012-01-01

    Energy efficiency represents a cost-effective and immediate strategy of a sustainable development. Due to substantial environmental and economic implications, a strong emphasis is put on the electrical energy requirements of machine tools for metalworking processes. The improvement of energy efficiency is however confronted with diverse barriers, which sustain an energy efficiency gap of unexploited potential. The deficiencies lie in the lack of information about the actual energy requirements of machine tools, a minimum energy reference to quantify improvement potential and the possible actions to improve the energy demand. Therefore, a comprehensive concept for energy performance management of machine tools is developed which guides the transition towards energy efficient machine tools. It is structured in four innovative concept modules, which are embedded into step-by-step workflow models. The capability of the performance management concept is demonstrated in an automotive manufacturing environment. The ...

  14. Algorithms

    Indian Academy of Sciences (India)

    to as 'divide-and-conquer'. Although there has been a large effort in realizing efficient algorithms, there are not many universally accepted algorithm design paradigms. In this article, we illustrate algorithm design techniques such as balancing, greedy strategy, dynamic programming strategy, and backtracking or traversal of ...

  15. Promotion of Efficient Use of Energy

    Energy Technology Data Exchange (ETDEWEB)

    Harry Misuriello; DOE Project Officer - Keith Bennett

    2006-01-25

    The Department of Energy funded the Alliance to Save Energy to promote the efficient use of energy under a multiyear cooperative agreement. This funding allowed the Alliance to be innovative and flexible in its program development, and to initiate and enhance projects it would otherwise not have been able to pursue. The program period was 1999 through 2004. The mission of the Alliance to Save Energy is to promote energy efficiency domestically and worldwide. The Alliance followed this mission by working closely with consumers, government, policy makers, and energy efficient product and service providers. The projects that were initiated by the Alliance included communication and consumer education, policy analysis and research, the promotion of interaction among the energy efficiency industry, and international energy efficiency programs. The funding from the Department of Energy allowed the Alliance to study new issues in energy efficiency, draw public attention to those issues, and create targeted programs, such as the Efficient Windows Collaborative or the Green Schools program, which now function on their own to promote energy efficiency in important areas.

  16. Residential Energy Efficiency Potential: Texas

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Texas single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  17. Residential Energy Efficiency Potential: Oregon

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Oregon single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  18. Residential Energy Efficiency Potential: Pennsylvania

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Pennsylvania single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  19. Residential Energy Efficiency Potential: Tennessee

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Tennessee single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  20. Residential Energy Efficiency Potential: Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-16

    Energy used by Nevada single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  1. Residential Energy Efficiency Potential: Nebraska

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-22

    Energy used by Nebraska single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  2. Residential Energy Efficiency Potential: Washington

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-27

    Energy used by Washington single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  3. Residential Energy Efficiency Potential: Alabama

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-15

    Energy used by Alabama single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  4. Residential Energy Efficiency Potential: Maryland

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-16

    Energy used by Maryland single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  5. Residential Energy Efficiency Potential: Minnesota

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-22

    Energy used by Minnesota single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  6. Residential Energy Efficiency Potential: Florida

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-16

    Energy used by Florida single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  7. Residential Energy Efficiency Potential: Wisconsin

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-27

    Energy used by Wisconsin single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  8. Residential Energy Efficiency Potential: Maine

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Maine single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  9. Residential Energy Efficiency Potential: Georgia

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-17

    Energy used by Georgia single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  10. Residential Energy Efficiency Potential: Missouri

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-22

    Energy used by Missouri single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  11. Residential Energy Efficiency Potential: Utah

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-22

    Energy used by Utah single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  12. Residential Energy Efficiency Potential: Idaho

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Idaho single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  13. Residential Energy Efficiency Potential: Arizona

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-16

    Energy used by Arizona single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  14. Residential Energy Efficiency Potential: Virginia

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-27

    Energy used by Virginia single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  15. Residential Energy Efficiency Potential: Kentucky

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Kentucky single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  16. Residential Energy Efficiency Potential: Kansas

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Kansas single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  17. Residential Energy Efficiency Potential: Louisiana

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Louisiana single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  18. Residential Energy Efficiency Potential: Iowa

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Iowa single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  19. Residential Energy Efficiency Potential: Wyoming

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-27

    Energy used by Wyoming single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  20. Residential Energy Efficiency Potential: Illinois

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Illinois single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  1. Residential Energy Efficiency Potential: Delaware

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-16

    Energy used by Delaware single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  2. Residential Energy Efficiency Potential: Arkansas

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-16

    Energy used by Arkansas single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  3. Residential Energy Efficiency Potential: Montana

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-22

    Energy used by Montana single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  4. Residential Energy Efficiency Potential: Mississippi

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-22

    Energy used by Mississippi single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  5. Residential Energy Efficiency Potential: Michigan

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-22

    Energy used by Michigan single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  6. Residential Energy Efficiency Potential: Colorado

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-16

    Energy used by Colorado single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  7. Residential Energy Efficiency Potential: Connecticut

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-16

    Energy used by Connecticut single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  8. Residential Energy Efficiency Potential: Indiana

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Indiana single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  9. Residential Energy Efficiency Potential: California

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-16

    Energy used by California single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  10. Residential Energy Efficiency Potential: Vermont

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-22

    Energy used by Vermont single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  11. Residential Energy Efficiency Potential: Massachusetts

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-21

    Energy used by Massachusetts single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  12. Residential Energy Efficiency Potential: Ohio

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Ohio single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  13. Residential Energy Efficiency Potential: Oklahoma

    Energy Technology Data Exchange (ETDEWEB)

    Wilson, Eric J [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-11-02

    Energy used by Oklahoma single-family homes that can be saved through cost-effective improvements. Prepared by Eric Wilson and Noel Merket, NREL, and Erin Boyd, U.S. Department of Energy Office of Energy Policy and Systems Analysis.

  14. Energy efficient circuit design using nanoelectromechanical relays

    Science.gov (United States)

    Venkatasubramanian, Ramakrishnan

    . This dissertation demonstrates NEM relay based charge pump and NEM-CMOS heterogeneous discontinuous conduction mode (DCM) buck regulator and the results are compared against a standard commercial 0.35μm CMOS implementation. It is shown that NEM-CMOS heterogeneous DC-DC converter has an area savings of 60% over CMOS and achieves an overall higher efficiency over CMOS, with a peak efficiency of 94.3% at 100mA. NEM relays offers unprecedented 10X-30X energy efficiency improvement in logic design for low frequency operation and has the potential to break the CMOS efficiency barrier in power electronic circuits as well. The practical aspects of NEM Relay integration are evaluated and algorithms for synthesis and development of large NEM relay based logic circuits are explored.

  15. Regional level approach for increasing energy efficiency

    International Nuclear Information System (INIS)

    Viholainen, Juha; Luoranen, Mika; Väisänen, Sanni; Niskanen, Antti; Horttanainen, Mika; Soukka, Risto

    2016-01-01

    Highlights: • Comprehensive snapshot of regional energy system for decision makers. • Connecting regional sustainability targets and energy planning. • Involving local players in energy planning. - Abstract: Actions for increasing the renewable share in the energy supply and improving both production and end-use energy efficiency are often built into the regional level sustainability targets. Because of this, many local stakeholders such as local governments, energy producers and distributors, industry, and public and private sector operators require information on the current state and development aspects of the regional energy efficiency. The drawback is that an overall view on the focal energy system operators, their energy interests, and future energy service needs in the region is often not available for the stakeholders. To support the local energy planning and management of the regional energy services, an approach for increasing the regional energy efficiency is being introduced. The presented approach can be seen as a solid framework for gathering the required data for energy efficiency analysis and also evaluating the energy system development, planned improvement actions, and the required energy services at the region. This study defines the theoretical structure of the energy efficiency approach and the required steps for revealing such energy system improvement actions that support the regional energy plan. To demonstrate the use of the approach, a case study of a Finnish small-town of Lohja is presented. In the case example, possible actions linked to the regional energy targets were evaluated with energy efficiency analysis. The results of the case example are system specific, but the conducted study can be seen as a justified example of generating easily attainable and transparent information on the impacts of different improvement actions on the regional energy system.

  16. Southwest Energy Efficiency Project (SWEEP) Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Geller, Howard [Southwest Energy Efficiency Project (SWEEP), Boulder, CO (United States); Meyers, Jim [Southwest Energy Efficiency Project (SWEEP), Boulder, CO (United States)

    2018-01-29

    SWEEP worked with Energy Efficiency and Renewable Energy (EERE) programs to foster greater energy efficiency throughout the Southwest. SWEEP accomplished this through a combination of analysis and support; preparation and distribution of materials on best practice technologies, policies and programs; and technical assistance and information dissemination to states and municipalities in the southwest supporting BTO, AMO, OWIP for advancement of efficiency in products and practices. These efforts were accomplished during the period 2012 through 2017.

  17. Energy efficiency, market failures, and government policy

    International Nuclear Information System (INIS)

    Levine, M.D.; Koomey, J.G.; McMahon, J.E.; Sanstad, A.H.; Hirst, E.

    1994-03-01

    This paper presents a framework for evaluating engineering-economic evidence on the diffusion of energy efficiency improvements. Four examples are evaluated within this framework. The analysis provides evidence of market failures related to energy efficiency. Specific market failures that may impede the adoption of cost-effective energy efficiency are discussed. Two programs that have had a major impact in overcoming these market failures, utility DSM programs and appliance standards, are described

  18. Energy Efficiency in Norway 1990-2000

    Energy Technology Data Exchange (ETDEWEB)

    Rosenberg, Eva

    2003-06-01

    This is the national report for Norway in the EU/SAVE project ''Indicators for Energy Efficiency Monitoring and Target setting (ODYSSEE)''. The report deals with energy use and energy efficiency in Norway 1990-2000 (2001 for overall energy use). Final energy use per Gross Domestic Product (GDP) was reduced by approximately 1.9% pr year in the period 1990 to 2001. The energy efficiency improvement has been calculated to 0.6% pr year, while the role of structural changes has been 1.3% pr year. A detailed sector analysis has been done, applying Laspeyres indices to attribute changes in energy use to activity, structure or intensity (efficiency). Aggregating sectors, we have found a total efficiency improvement of approximately 11 TWh from 1990 to 2000. (author)

  19. Indicators for industrial energy efficiency in India

    International Nuclear Information System (INIS)

    Gielen, Dolf; Taylor, Peter

    2009-01-01

    India accounts for 4.5% of industrial energy use worldwide. This share is projected to increase as the economy expands rapidly. The level of industrial energy efficiency in India varies widely. Certain sectors, such as cement, are relatively efficient, while others, such as pulp and paper, are relatively inefficient. Future energy efficiency efforts should focus on direct reduced iron, pulp and paper and small-scale cement kilns because the potentials for improvement are important in both percentage and absolute terms. Under business as usual, industrial energy use is projected to rise faster than total final energy use. A strong focus on energy efficiency can reduce this growth, but CO 2 emissions will still rise substantially. If more substantial CO 2 emissions reductions are to be achieved then energy efficiency will need to be combined with measures that reduce the carbon intensity of the industrial fuel mix.

  20. Investing in Energy Efficiency. Removing the Barriers

    International Nuclear Information System (INIS)

    2004-01-01

    Investing in improving energy efficiency has the clear advantages of reducing energy costs, improving security of supply and mitigating the environmental impacts of energy use. And still, many viable opportunities for higher energy efficiency are not tapped because of the existence of numerous barriers to such investments. These lost opportunities imply costs to the individual energy consumers and to the society as a whole and they are particularly important in economies in transition. This report identifies various types of barriers for making energy efficiency investments (be they of legal, administrative, institutional or financial nature), mainly in buildings, district heating and efficient lighting. The role of various bodies and organisations for the facilitation of energy efficiency investments is analysed, from public authorities and regulators to banks and international financing institutions

  1. DTU International Energy Report 2012: Energy efficiency improvements

    DEFF Research Database (Denmark)

    Increased energy efficiency can reduce global CO2 emissions over the period to 2050 with up to 25%. On the top of that large profits can be gained for very little investment. Energy efficiency improvements can save investment in new energy infrastructure, cut fuel costs, increase competitiveness...... and increase consumer welfare. Thus, it is natural for DTU International Energy Report 2012 to take up this issue and analyze the global, regional and national challenges in exploiting energy efficiency and promote research and development in energy efficiency....

  2. Monitoring tools for energy efficiency in Europe

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2002-07-01

    This document brings together the different definitions of the indicators used in the European Odyssee project on energy efficiency indicators. This project was initiated in 1990. It benefits from the combined support of the SAVE programme of the European Commission, of Ademe and of 15 national Efficiency Agencies within the European network of energy efficiency agencies. The objective of the project is to develop and maintain indicators that enable to review progress in energy efficiency and CO{sub 2} emissions abatement, by sector, end-use, etc.. for each country and the EU as a whole. To reach this objective, all data and indicators are stored in a common database called ODYSSEE that is regularly updated. A common methodology is used to produce comparative energy efficiency indicators from the database. The definitions presented in this document concern: 1) the general points (energy intensity, consumption, savings, efficiency, the unit consumption effect and index, the technological effect or savings, the substitution effect and the behavioural/management effect); 2) the macro-indicators (primary and final energy intensities at constant structure, at purchasing power parities, at reference economic structure); 3) industry (energy intensity of industry/manufacturing, of industry at constant structure and at reference structure, unit consumption of steel, cement etc.., process effect); 4) transports (energy intensity, unit consumption of vehicles, average specific consumption, test specific consumption, unit consumption, specific consumption, behavioural energy savings; 5) households and services (unit consumption, specific consumption, energy intensity of households, appliances); 6) transformations (apparent efficiency of energy sector or transformations, efficiency at constant fuel mix, efficiency of electricity sector). The same work is made for the 'key energy efficiency indicators', for the 'aggregate energy efficiency indicators' for

  3. Efficient algorithm for bifurcation problems of variational inequalities

    International Nuclear Information System (INIS)

    Mittelmann, H.D.

    1983-01-01

    For a class of variational inequalities on a Hilbert space H bifurcating solutions exist and may be characterized as critical points of a functional with respect to the intersection of the level surfaces of another functional and a closed convex subset K of H. In a recent paper [13] we have used a gradient-projection type algorithm to obtain the solutions for discretizations of the variational inequalities. A related but Newton-based method is given here. Global and asymptotically quadratic convergence is proved. Numerical results show that it may be used very efficiently in following the bifurcating branches and that is compares favorably with several other algorithms. The method is also attractive for a class of nonlinear eigenvalue problems (K = H) for which it reduces to a generalized Rayleigh-quotient interaction. So some results are included for the path following in turning-point problems

  4. Efficient parallel algorithms for string editing and related problems

    Science.gov (United States)

    Apostolico, Alberto; Atallah, Mikhail J.; Larmore, Lawrence; Mcfaddin, H. S.

    1988-01-01

    The string editing problem for input strings x and y consists of transforming x into y by performing a series of weighted edit operations on x of overall minimum cost. An edit operation on x can be the deletion of a symbol from x, the insertion of a symbol in x or the substitution of a symbol x with another symbol. This problem has a well known O((absolute value of x)(absolute value of y)) time sequential solution (25). The efficient Program Requirements Analysis Methods (PRAM) parallel algorithms for the string editing problem are given. If m = ((absolute value of x),(absolute value of y)) and n = max((absolute value of x),(absolute value of y)), then the CREW bound is O (log m log n) time with O (mn/log m) processors. In all algorithms, space is O (mn).

  5. National Action Plan for Energy Efficiency Report

    Energy Technology Data Exchange (ETDEWEB)

    National Action Plan for Energy Efficiency

    2006-07-01

    Summarizes recommendations, key barriers, and methods for energy efficiency in utility ratemaking as well as revenue requirements, resource planning processes, rate design, and program best practices.

  6. Energy conservation in Newmark based time integration algorithms

    DEFF Research Database (Denmark)

    Krenk, Steen

    2006-01-01

    Energy balance equations are established for the Newmark time integration algorithm, and for the derived algorithms with algorithmic damping introduced via averaging, the so-called a-methods. The energy balance equations form a sequence applicable to: Newmark integration of the undamped equations...... of motion, an extended form including structural damping, and finally the generalized form including structural as well as algorithmic damping. In all three cases the expression for energy, appearing in the balance equation, is the mechanical energy plus some additional terms generated by the discretization...

  7. Transition towards energy efficient machine tools

    Energy Technology Data Exchange (ETDEWEB)

    Zein, Andre [Technische Univ. Braunschweig (Germany). Inst. fuer Werkzeugmaschinen und Fertigungstechnik

    2012-07-01

    Provides unique data about industrial trends affecting the energy demand of machine tools. Presents a comprehensive methodology to assess the energy efficiency of machining processes. Contains an integrated management concept to implement energy performance measures into existing industrial systems. Includes an industrial case study with two exemplary applications. Energy efficiency represents a cost-effective and immediate strategy of a sustainable development. Due to substantial environmental and economic implications, a strong emphasis is put on the electrical energy requirements of machine tools for metalworking processes. The improvement of energy efficiency is however confronted with diverse barriers, which sustain an energy efficiency gap of unexploited potential. The deficiencies lie in the lack of information about the actual energy requirements of machine tools, a minimum energy reference to quantify improvement potential and the possible actions to improve the energy demand. Therefore, a comprehensive concept for energy performance management of machine tools is developed which guides the transition towards energy efficient machine tools. It is structured in four innovative concept modules, which are embedded into step-by-step workflow models. The capability of the performance management concept is demonstrated in an automotive manufacturing environment. The target audience primarily comprises researchers and practitioners challenged to enhance energy efficiency in manufacturing. The book may also be beneficial for graduate students who want to specialize in this field.

  8. Energy efficient technologies for the mining industry

    Energy Technology Data Exchange (ETDEWEB)

    Klein, B.; Bamber, A.; Weatherwax, T.; Dozdiak, J.; Nadolski, S.; Roufail, R.; Parry, J.; Roufail, R.; Tong, L.; Hall, R. [British Columbia Univ., Vancouver, BC (Canada). Centre for Environmental Research in Minerals, Metals and Materials, Norman B. Keevil Inst. of Mining Engineering

    2010-07-01

    Mining in British Columbia is the second largest industrial electricity consumer. This presentation highlighted methods to help the mining industry reduce their energy requirements by limiting waste and improving efficiency. The measures are aimed at optimizing energy-use and efficiency in mining and processing and identifying opportunities and methods of improving this efficiency. Energy conservation in comminution and beneficiation is a primary focus of research activities at the University of British Columbia (UBC). The objective is to reduce energy usage in metal mines by 20 per cent overall. Open pit copper, gold and molybdenum mines are being targeted. Projects underway at UBC were outlined, with particular reference to energy usage, recovery and alternative energy sources; preconcentration; reducing energy usage from comminution in sorting, high pressure grinding rolls and high speed stirred mills; Hydromet; other energy efficient technologies such as control and flotation; and carbon dioxide sequestration. Studies were conducted at various mining facilities, including mines in Sudbury, Ontario. tabs., figs.

  9. National energy efficiency study. The Czech Republic

    International Nuclear Information System (INIS)

    Maly, M.; Jakubes, J.; Spitz, J.; Van Wees, M.T.; Uyterlinde, M.A.; Martens, J.W.; Van Oostvoorn, F.; Henelova, V.; Vazac, V.; Zalesak, M.; Marousek, J.; Szomolanyiova, J.; Havlickova, M.; Zeman, J.; Ten Donkelaar, M.; Travnicek, S.; Stejskal, F.; Pribyl, E.; Blokker, L.; Bizek, V.; Velthuijsen, J.W.

    1999-08-01

    Energy efficiency and renewable energy production contribute to the three major goals of the national energy policy of the Czech Republic: overall competitiveness, security of supply; and environmental protection. Therefore, the Czech Government aims to promote these two sustainable options. The National Energy Efficiency Study has developed specific policies for the promotion of end use energy efficiency and renewables. These are described in two Action Plans, and in this report which serves as a background document. It contains detailed information on options and measures, potentials, barriers and policy instruments for energy efficiency and renewables. The main part is a detailed outline for a new energy efficiency and renewable policy, including a listing of actions for implementation. Also, it includes recommendations for financing schemes to overcome the investment constraints in the Czech Republic. Finally, a list of concrete projects is presented to support project identification. In addition, two separate Action Plans have been published: (1) The Energy Efficiency Action Plan focuses on promotion of energy efficiency in end-use (separate document, ECN-C-99-065); and (2) The Renewable Energy Action Plan (separate document, ECN-C-99-064) deals with policy on promotion of renewable energy production. These two policy documents should provide policy makers in the Czech Government with essential information on potentials, targets, the required budget, and recommended policy instruments. The core of the Action Plans is the list of concrete policy actions, ready for implementation

  10. Energy technologies and energy efficiency in economic modelling

    DEFF Research Database (Denmark)

    Klinge Jacobsen, Henrik

    1998-01-01

    This paper discusses different approaches to incorporating energy technologies and technological development in energy-economic models. Technological development is a very important issue in long-term energy demand projections and in environmental analyses. Different assumptions on technological ...... of renewable energy and especially wind power will increase the rate of efficiency improvement. A technologically based model in this case indirectly makes the energy efficiency endogenous in the aggregate energy-economy model....... technological development. This paper examines the effect on aggregate energy efficiency of using technological models to describe a number of specific technologies and of incorporating these models in an economic model. Different effects from the technology representation are illustrated. Vintage effects...... illustrates the dependence of average efficiencies and productivity on capacity utilisation rates. In the long run regulation induced by environmental policies are also very important for the improvement of aggregate energy efficiency in the energy supply sector. A Danish policy to increase the share...

  11. Efficient Energy-Storage Concept

    Science.gov (United States)

    Brantley, L. W. J.; Rupp, C.

    1982-01-01

    Space-platform energy-storage and attitude-stabilization system utilizes variable moment of inertia of two masses attached to ends of retractable cable. System would be brought to its initial operating speed by gravity-gradient pumping. When fully developed, concept could be part of an orbiting solar-energy collection system. Energy would be temporarily stored in system then transmitted to Earth by microwaves or other method.

  12. Energy efficiency resource modeling in generation expansion planning

    International Nuclear Information System (INIS)

    Ghaderi, A.; Parsa Moghaddam, M.; Sheikh-El-Eslami, M.K.

    2014-01-01

    Energy efficiency plays an important role in mitigating energy security risks and emission problems. In this paper, energy efficiency resources are modeled as efficiency power plants (EPP) to evaluate their impacts on generation expansion planning (GEP). The supply curve of EPP is proposed using the production function of electricity consumption. A decision making framework is also presented to include EPP in GEP problem from an investor's point of view. The revenue of EPP investor is obtained from energy cost reduction of consumers and does not earn any income from electricity market. In each stage of GEP, a bi-level model for operation problem is suggested: the upper-level represents profit maximization of EPP investor and the lower-level corresponds to maximize the social welfare. To solve the bi-level problem, a fixed-point iteration algorithm is used known as diagonalization method. Energy efficiency feed-in tariff is investigated as a regulatory support scheme to encourage the investor. Results pertaining to a case study are simulated and discussed. - Highlights: • An economic model for energy efficiency programs is presented. • A framework is provided to model energy efficiency resources in GEP problem. • FIT is investigated as a regulatory support scheme to encourage the EPP investor. • The capacity expansion is delayed and reduced with considering EPP in GEP. • FIT-II can more effectively increase the energy saving compared to FIT-I

  13. Power efficient dynamic resource scheduling algorithms for LTE

    OpenAIRE

    Han, C; Beh, KC; Nicolaou, M; Armour, SMD; Doufexi, A

    2010-01-01

    This paper presents a link level analysis of the rate and energy efficiency performance of the LTE downlink considering the unitary codebook based precoding scheme. In a multi-user environment, appropriate radio resource management strategies can be applied to the system to improve the performance gain by exploiting multi-user diversity in the time, frequency and space domains and the gains can be translated to energy reduction at the base station. Several existing and novel resource scheduli...

  14. Efficient quantum algorithm for computing n-time correlation functions.

    Science.gov (United States)

    Pedernales, J S; Di Candia, R; Egusquiza, I L; Casanova, J; Solano, E

    2014-07-11

    We propose a method for computing n-time correlation functions of arbitrary spinorial, fermionic, and bosonic operators, consisting of an efficient quantum algorithm that encodes these correlations in an initially added ancillary qubit for probe and control tasks. For spinorial and fermionic systems, the reconstruction of arbitrary n-time correlation functions requires the measurement of two ancilla observables, while for bosonic variables time derivatives of the same observables are needed. Finally, we provide examples applicable to different quantum platforms in the frame of the linear response theory.

  15. An interdisciplinary perspective on industrial energy efficiency

    International Nuclear Information System (INIS)

    Palm, Jenny; Thollander, Patrik

    2010-01-01

    This paper combines engineering and social science approaches to enhance our understanding of industrial energy efficiency and broaden our perspective on policy making in Europe. Sustainable development demands new strategies, solutions, and policy-making approaches. Numerous studies of energy efficiency potential state that cost-effective energy efficiency technologies in industry are not always implemented for various reasons, such as lack of information, procedural impediments, and routines not favoring energy efficiency. Another reason for the efficiency gap is the existence of particular values, unsupportive of energy efficiency, in the dominant networks of a branch of trade. Analysis indicates that different sectors of rather closed communities have established their own tacit knowledge, perceived truths, and routines concerning energy efficiency measures. Actors in different industrial sectors highlight different barriers to energy efficiency and why cost-effective energy efficiency measures are not being implemented. The identified barriers can be problematized in relation to the social context to understand their existence and how to resolve them.

  16. A study on electric bicycle energy efficiency

    Directory of Open Access Journals (Sweden)

    Ivan EVTIMOV

    2015-09-01

    Full Text Available The paper presents a construction of an experimental electric bicycle for evaluation of the energy efficiency. The bicycle is equipped with onboard computer which can store the information about motion and energy consumption. The result concerning power, energy consumption, recharging during brake process, etc. are given. Energy consumption for 3 typical city routes is studied.

  17. Energy efficiency buildings program, FY 1980

    Energy Technology Data Exchange (ETDEWEB)

    1981-05-01

    A separate abstract was prepared on research progress in each group at LBL in the energy efficient buildings program. Two separate abstracts were prepared for the Windows and Lighting Program. Abstracts prepared on other programs are: Energy Performance of Buildings; Building Ventilation and Indoor Air Quality Program; DOE-21 Building Energy Analysis; and Building Energy Data Compilation, Analysis, and Demonstration. (MCW)

  18. Energy Efficient Multiresource Allocation of Virtual Machine Based on PSO in Cloud Data Center

    Directory of Open Access Journals (Sweden)

    An-ping Xiong

    2014-01-01

    Full Text Available Presently, massive energy consumption in cloud data center tends to be an escalating threat to the environment. To reduce energy consumption in cloud data center, an energy efficient virtual machine allocation algorithm is proposed in this paper based on a proposed energy efficient multiresource allocation model and the particle swarm optimization (PSO method. In this algorithm, the fitness function of PSO is defined as the total Euclidean distance to determine the optimal point between resource utilization and energy consumption. This algorithm can avoid falling into local optima which is common in traditional heuristic algorithms. Compared to traditional heuristic algorithms MBFD and MBFH, our algorithm shows significantly energy savings in cloud data center and also makes the utilization of system resources reasonable at the same time.

  19. ECOWAS renewable energy and energy efficiency status report - 2014

    International Nuclear Information System (INIS)

    Auth, Katie; Musolino, Evan; Thomas, Tristram; Adebiyi, Adeola; Reiss, Karin; Semedo, Eder; Williamson, Laura E.; Chawla, Kanika; Diarra, Charles

    2014-01-01

    In recent years, the Economic Community of West African States (ECOWAS), comprising 15 Member States, it has emerged as one of the most active and dynamic regional economic communities on the African continent. Expanding access to modern, reliable, and affordable energy services is a key priority, prompting inter-state cooperation in crucial areas including capacity building, policy development and implementation, and investment. Recognising the critical role that sustainable energy plays in catalysing social, economic, and industrial development across the region, ECOWAS Member States formally inaugurated the ECOWAS Centre for Renewable Energy and Energy Efficiency (ECREEE) in 2010 to 'contribute to the sustainable economic, social and environmental development of West Africa by improving access to modern, reliable and affordable energy services, energy security and reduction of energy related externalities'. Drawing on data from the ECOWAS Observatory for Renewable Energy and Energy Efficiency (ECOWREX) and a network of contributors and researchers across the region, the ECOWAS Renewable Energy and Energy Efficiency Status Report supports ECREEE's efforts to increase the deployment of renewable energy and energy efficiency in West Africa by providing a comprehensive regional review of renewable energy and energy efficiency developments, evolving policy landscapes, market trends and related activities, investments in renewable energy and off-grid energy solutions, and the crucial nexus between energy access and gender

  20. Energy efficiency of high-rise buildings

    Science.gov (United States)

    Zhigulina, Anna Yu.; Ponomarenko, Alla M.

    2018-03-01

    The article is devoted to analysis of tendencies and advanced technologies in the field of energy supply and energy efficiency of tall buildings, to the history of the emergence of the concept of "efficiency" and its current interpretation. Also the article show the difference of evaluation criteria of the leading rating systems LEED and BREEAM. Authors reviewed the latest technologies applied in the construction of energy efficient buildings. Methodological approach to the design of tall buildings taking into account energy efficiency needs to include the primary energy saving; to seek the possibility of production and accumulation of alternative electric energy by converting energy from the sun and wind with the help of special technical devices; the application of regenerative technologies.

  1. Regional and global exergy and energy efficiencies

    Energy Technology Data Exchange (ETDEWEB)

    Nakicenovic, N; Kurz, R [International Inst. for Applied Systems Analysis, Laxenburg (Austria). Environmentally Compatible Energy Strategies (Ecuador) Project; Gilli, P V [Graz Univ. of Technology (Austria)

    1996-03-01

    We present estimates of global energy efficiency by applying second-law (exergy) analysis to regional and global energy balances. We use a uniform analysis of national and regional energy balances and aggregate these balances first for three main economic regions and subsequently into world totals. The procedure involves assessment of energy and exergy efficiencies at each step of energy conversion, from primary exergy to final and useful exergy. Ideally, the analysis should be extended to include actual delivered energy services; unfortunately, data are scarce and only rough estimates can be given for this last stage of energy conversion. The overall result is that the current global primary to useful exergy efficiency is about one-tenth of the theoretical maximum and the service efficiency is even lower. (Author)

  2. An Efficient Sleepy Algorithm for Particle-Based Fluids

    Directory of Open Access Journals (Sweden)

    Xiao Nie

    2014-01-01

    Full Text Available We present a novel Smoothed Particle Hydrodynamics (SPH based algorithm for efficiently simulating compressible and weakly compressible particle fluids. Prior particle-based methods simulate all fluid particles; however, in many cases some particles appearing to be at rest can be safely ignored without notably affecting the fluid flow behavior. To identify these particles, a novel sleepy strategy is introduced. By utilizing this strategy, only a portion of the fluid particles requires computational resources; thus an obvious performance gain can be achieved. In addition, in order to resolve unphysical clumping issue due to tensile instability in SPH based methods, a new artificial repulsive force is provided. We demonstrate that our approach can be easily integrated with existing SPH based methods to improve the efficiency without sacrificing visual quality.

  3. Efficient algorithms for collaborative decision making for large scale settings

    DEFF Research Database (Denmark)

    Assent, Ira

    2011-01-01

    to bring about more effective and more efficient retrieval systems that support the users' decision making process. We sketch promising research directions for more efficient algorithms for collaborative decision making, especially for large scale systems.......Collaborative decision making is a successful approach in settings where data analysis and querying can be done interactively. In large scale systems with huge data volumes or many users, collaboration is often hindered by impractical runtimes. Existing work on improving collaboration focuses...... on avoiding redundancy for users working on the same task. While this improves the effectiveness of the user work process, the underlying query processing engine is typically considered a "black box" and left unchanged. Research in multiple query processing, on the other hand, ignores the application...

  4. Energy saving and energy efficiency concepts for policy making

    NARCIS (Netherlands)

    Oikonomou, V.; Becchis, F.; Steg, L.; Russolillo, D.

    Departing from the concept of rational use of energy, the paper outlines the microeconomics of end-use energy saving as a result of frugality or efficiency measures. Frugality refers to the behaviour that is aimed at energy conservation, and with efficiency we refer to the technical ratio between

  5. Energy saving and energy efficiency concepts for policy making

    NARCIS (Netherlands)

    Oikonomou, V.; Becchis, F.; Steg, L.; Russolillo, D.

    2009-01-01

    Departing from the concept of rational use of energy, the paper outlines the microeconomics of end-use energy saving as a result of frugality or efficiency measures. Frugality refers to the behaviour that is aimed at energy conservation, and with efficiency we refer to the technical ratio between

  6. Energy Efficiency Policy and Carbon Pricing

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-07-01

    The main message of this paper is that while carbon pricing is a prerequisite for least-cost carbon mitigation strategies, carbon pricing is not enough to overcome all the barriers to cost-effective energy efficiency actions. Energy efficiency policy should be designed carefully for each sector to ensure optimal outcomes for a combination of economic, social and climate change goals. This paper aims to examine the justification for specific energy efficiency policies in economies with carbon pricing in place. The paper begins with an inventory of existing market failures that attempt to explain the limited uptake of energy efficiency. These market failures are investigated to see which can be overcome by carbon pricing in two subsectors -- electricity use in residential appliances and heating energy use in buildings. This analysis finds that carbon pricing addresses energy efficiency market failures such as externalities and imperfect energy markets. However, several market and behavioural failures in the two subsectors are identified that appear not to be addressed by carbon pricing. These include: imperfect information; principal-agent problems; and behavioural failures. In this analysis, the policies that address these market failures are identified as complementary to carbon pricing and their level of interaction with carbon pricing policies is relatively positive. These policies should be implemented when they can improve energy efficiency effectively and efficiently (and achieve other national goals such as improving socio-economic efficiency).

  7. The benefits of energy efficiency - why wait?

    NARCIS (Netherlands)

    Blok, K.; Breevoort, P. van

    2012-01-01

    Improving energy efficiency globally leads to many benefits. First and foremost, improved energy efficiency of equipment, buildings, vehicles and industrial processes will lead to a reduction of the use of electricity, heat and fuels. This will save large amounts of money. Moreover,

  8. Priorities for energy efficiency measures in agriculture

    NARCIS (Netherlands)

    Visser, de C.L.M.

    2013-01-01

    This report provides research gaps and priorities for energy efficiency measures in agriculture across Europe, based on the analysis of the Coordination and Support Action AGREE (Agriculture & Energy Efficiency) funded by the 7th research framework of the EU (www.agree.aua.gr). The analysis from

  9. Energy efficient idler for belt conveyor systems

    Energy Technology Data Exchange (ETDEWEB)

    Mukhopadhyay, A.K.; Chattopadhyay, A. [Indian School of Mines Univ., Dhanbad (India). Dept. of Mechanical Engineering and Mining; Soni, R.; Bhattnagar, M.

    2009-07-01

    In today's economic and legal environment, energy efficiency has become more important than ever. This paper proposes a new design of idler rollers for belt conveyors that could help to them even more efficient by reducing their energy consumption and also their CO{sub 2} footprint. (orig.)

  10. Energy efficiency: From regional to global cooperation

    International Nuclear Information System (INIS)

    Brendow, K.

    1994-01-01

    In developing, reforming and emerging countries in particular, institutional hurdles have hindered the introduction of energy efficient technology. The author develops the theme from two U.N. projects: A new institutional accessibility to supra-regional cooperation could provide an important stimulus for future worldwide cooperation in the field of energy efficiency. (orig.) [de

  11. The energy efficiency of onboard hydrogen storage

    DEFF Research Database (Denmark)

    Jensen, Jens Oluf; Li, Qingfeng; Bjerrum, Niels

    2010-01-01

    Global warming resulting from the use of fossil fuels is threatening the environment and energy efficiency is one of the most important ways to reduce this threat. Industry, transport and buildings are all high energy-using sectors in the world and even in the most technologically optimistic...... perspectives energy use is projected to increase in the next 50 years. How and when energy is used determines society's ability to create long-term sustainable energy systems. This is why this book, focusing on energy efficiency in these sectors and from different perspectives, is sharp and also important...

  12. Measures for energy efficiency improvement of buildings

    Directory of Open Access Journals (Sweden)

    Vukadinović Ana V.

    2015-01-01

    Full Text Available The increase in energy consumption in buildings causes the need to propose energy efficiency improvement measures. Urban planning in accordance with micro location conditions can lead to energy consumption reduction in buildings through the passive solar design. While satisfying the thermal comfort to the user space purpose, energy efficiency can be achieved by optimizing the architectural and construction parameters such as shape of the building, envelope structure and the percentage of glazing. The improvement of the proposed measures, including the use of renewable energy sources, can meet requirements of Directive 2010/31 / EU of 'nearly zero energy buildings'.

  13. Towards energy efficient mobile communications

    CSIR Research Space (South Africa)

    Masonta, MT

    2010-10-01

    Full Text Available The rapid growth and development of wireless communication services and applications corresponds to an increase in associated energy consumption. For broadband wireless network deployment in rural areas affected by unreliability and unavailability...

  14. An efficient algorithm for bi-objective combined heat and power production planning under the emission trading scheme

    International Nuclear Information System (INIS)

    Rong, Aiying; Figueira, José Rui; Lahdelma, Risto

    2014-01-01

    Highlights: • Define fuel mix setting for the bi-objective CHP environmental/economic dispatch. • Develop an efficient algorithm for constructing the Pareto frontier for the problem. • Time complexity analysis is conducted for the proposed algorithm. • The algorithm is theoretically compared against a traditional algorithm. • The efficiency of the algorithm is justified by numerical results. - Abstract: The growing environmental awareness and the apparent conflicts between economic and environmental objectives turn energy planning problems naturally into multi-objective optimization problems. In the current study, mixed fuel combustion is considered as an option to achieve tradeoff between economic objective (associated with fuel cost) and emission objective (measured in CO 2 emission cost according to fuels and emission allowance price) because a fuel with higher emissions is usually cheaper than one with lower emissions. Combined heat and power (CHP) production is an important high-efficiency technology to promote under the emission trading scheme. In CHP production, the production planning of both commodities must be done in coordination. A long-term planning problem decomposes into thousands of hourly subproblems. In this paper, a bi-objective multi-period linear programming CHP planning model is presented first. Then, an efficient specialized merging algorithm for constructing the exact Pareto frontier (PF) of the problem is presented. The algorithm is theoretically and empirically compared against a modified dichotomic search algorithm. The efficiency and effectiveness of the algorithm is justified

  15. Jcpenney Buying into Energy Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    none,

    2013-03-01

    Jcpenney partnered with the Department of Energy (DOE) to develop and implement solutions to build new, low-energy buildings that are at least 50% below Standard 90.1-2004 of the American Society of Heating, Refrigerating, and Air- Conditioning Engineers (ASHRAE), the American National Standards Institute (ANSI), and the Illuminating Engineering Society of North America (IESNA) as part of DOE’s Commercial Building Partnerships (CBP) Program.

  16. Coordination of Energy Efficiency and Demand Response

    Energy Technology Data Exchange (ETDEWEB)

    Goldman, Charles; Reid, Michael; Levy, Roger; Silverstein, Alison

    2010-01-29

    This paper reviews the relationship between energy efficiency and demand response and discusses approaches and barriers to coordinating energy efficiency and demand response. The paper is intended to support the 10 implementation goals of the National Action Plan for Energy Efficiency's Vision to achieve all cost-effective energy efficiency by 2025. Improving energy efficiency in our homes, businesses, schools, governments, and industries - which consume more than 70 percent of the nation's natural gas and electricity - is one of the most constructive, cost-effective ways to address the challenges of high energy prices, energy security and independence, air pollution, and global climate change. While energy efficiency is an increasingly prominent component of efforts to supply affordable, reliable, secure, and clean electric power, demand response is becoming a valuable tool in utility and regional resource plans. The Federal Energy Regulatory Commission (FERC) estimated the contribution from existing U.S. demand response resources at about 41,000 megawatts (MW), about 5.8 percent of 2008 summer peak demand (FERC, 2008). Moreover, FERC recently estimated nationwide achievable demand response potential at 138,000 MW (14 percent of peak demand) by 2019 (FERC, 2009).2 A recent Electric Power Research Institute study estimates that 'the combination of demand response and energy efficiency programs has the potential to reduce non-coincident summer peak demand by 157 GW' by 2030, or 14-20 percent below projected levels (EPRI, 2009a). This paper supports the Action Plan's effort to coordinate energy efficiency and demand response programs to maximize value to customers. For information on the full suite of policy and programmatic options for removing barriers to energy efficiency, see the Vision for 2025 and the various other Action Plan papers and guides available at www.epa.gov/eeactionplan.

  17. Novel Intermode Prediction Algorithm for High Efficiency Video Coding Encoder

    Directory of Open Access Journals (Sweden)

    Chan-seob Park

    2014-01-01

    Full Text Available The joint collaborative team on video coding (JCT-VC is developing the next-generation video coding standard which is called high efficiency video coding (HEVC. In the HEVC, there are three units in block structure: coding unit (CU, prediction unit (PU, and transform unit (TU. The CU is the basic unit of region splitting like macroblock (MB. Each CU performs recursive splitting into four blocks with equal size, starting from the tree block. In this paper, we propose a fast CU depth decision algorithm for HEVC technology to reduce its computational complexity. In 2N×2N PU, the proposed method compares the rate-distortion (RD cost and determines the depth using the compared information. Moreover, in order to speed up the encoding time, the efficient merge SKIP detection method is developed additionally based on the contextual mode information of neighboring CUs. Experimental result shows that the proposed algorithm achieves the average time-saving factor of 44.84% in the random access (RA at Main profile configuration with the HEVC test model (HM 10.0 reference software. Compared to HM 10.0 encoder, a small BD-bitrate loss of 0.17% is also observed without significant loss of image quality.

  18. Efficient renewable energy scenarios study for Victoria

    International Nuclear Information System (INIS)

    Armstrong, Graham

    1991-01-01

    This study examines the possible evolution of Victorian energy markets over the 1998-2030 period from technical, economic and environmental perspectives. The focus is on the technical and economic potential over the study period for renewable energy and energy efficiency to increase their share of energy markets, through their economic competitiveness with the non-renewables of oil, gas and fossil fulled electricity. The study identifies a range of energy options that have a lower impact on carbon dioxide emissions that current projections for the Victorian energy sector, together with the savings in energy, dollars and carbon dioxide emissions. In addition the macroeconomic implications of the energy paths are estimated. Specifically it examines a scenario (R-efficient renewable) where energy efficiency and renewable energy sources realise their estimated economic potential to displace non-renewable energy over the 1988-2030 period. In addition, a scenario (T-Toronto) is examined where energy markets are pushed somewhat harder, but again on an economic basis, so that what is called the Toronto target of reducing 1988 carbon dioxide (CO 2 ) emissions by 20 per cent by 2005 is attained. It is concluded that over the next forty years there is substantial economic potential in Victoria for significant gains from energy efficiency in all sectors - residential, commercial, industrial and transport - and contributions from renewable energy both in those sectors and in electricity generations. 7 figs., 5 tabs

  19. Improving energy efficiency in handheld biometric applications

    Science.gov (United States)

    Hoyle, David C.; Gale, John W.; Schultz, Robert C.; Rakvic, Ryan N.; Ives, Robert W.

    2012-06-01

    With improved smartphone and tablet technology, it is becoming increasingly feasible to implement powerful biometric recognition algorithms on portable devices. Typical iris recognition algorithms, such as Ridge Energy Direction (RED), utilize two-dimensional convolution in their implementation. This paper explores the energy consumption implications of 12 different methods of implementing two-dimensional convolution on a portable device. Typically, convolution is implemented using floating point operations. If a given algorithm implemented integer convolution vice floating point convolution, it could drastically reduce the energy consumed by the processor. The 12 methods compared include 4 major categories: Integer C, Integer Java, Floating Point C, and Floating Point Java. Each major category is further divided into 3 implementations: variable size looped convolution, static size looped convolution, and unrolled looped convolution. All testing was performed using the HTC Thunderbolt with energy measured directly using a Tektronix TDS5104B Digital Phosphor oscilloscope. Results indicate that energy savings as high as 75% are possible by using Integer C versus Floating Point C. Considering the relative proportion of processing time that convolution is responsible for in a typical algorithm, the savings in energy would likely result in significantly greater time between battery charges.

  20. From energy efficiency towards resource efficiency within the Ecodesign Directive

    DEFF Research Database (Denmark)

    Bundgaard, Anja Marie; Mosgaard, Mette; Remmen, Arne

    2017-01-01

    on the most significant environmental impact has often resulted in a focus on energy efficiency in the use phase. Therefore, the Ecodesign Directive should continue to target resource efficiency aspects but also consider environ- mental aspects with a large improvement potential in addition to the most...... significant environmental impact. For the introduction of resource efficiency requirements into the Ecodesign Directive, these requirements have to be included in the preparatory study. It is therefore recommended to broaden the scope of the Methodology for the Ecodesign of Energy-related products and the Eco......The article examines the integration of resource efficiency into the European Ecodesign Directive. The purpose is to analyse the processes and stakeholder interactions, which formed the basis for integrating resource efficiency requirements into the implementing measure for vacuum cleaners...

  1. Energy efficiency: a recipe for success

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2010-09-15

    Produced in cooperation with ADEME and Enerdata, this report presents and evaluates energy efficiency policies and trends in about 90 countries around the world. It reviews the impact of energy efficiency measures and highlights the trends and results of their implementation. Energy efficiency is ''a low hanging fruit'' on the ''energy tree'' which can help address a number of objectives at the same time and at a low or negative cost: security of supply, environmental impacts, competitiveness, balance of trade, investment requirements, social aspects and others. Despite its significant potential for energy savings, energy efficiency is still far from realising this potential. Why? There is no single answer to this question. A meaningful response requires major research and an analytical effort.

  2. Energy efficiency: a recipe for success

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2010-09-15

    Produced in cooperation with ADEME and Enerdata, this report presents and evaluates energy efficiency policies and trends in about 90 countries around the world. It reviews the impact of energy efficiency measures and highlights the trends and results of their implementation. Energy efficiency is ''a low hanging fruit'' on the ''energy tree'' which can help address a number of objectives at the same time and at a low or negative cost: security of supply, environmental impacts, competitiveness, balance of trade, investment requirements, social aspects and others. Despite its significant potential for energy savings, energy efficiency is still far from realising this potential. Why? There is no single answer to this question. A meaningful response requires major research and an analytical effort.

  3. Energy efficient hydrocyclones; Energieffektive hydrocykloner

    Energy Technology Data Exchange (ETDEWEB)

    Korsbaek, P.; Damgaard, L.; Nielsen, John Bo; Christensen, Kent; Overgaard, J.

    2009-05-15

    The project's primary purpose is to investigate the energy savings opportunities by using hydro cyclones for separation instead of more traditional separation technologies like rotary sieves and centrifuges. The hydro cyclone plant has been tested through two campaigns. In the 2007/2008 campaign the plant was tested at the Karup potato flour factory and here the cyclone plant achieved energy savings of approx. 32% compared to the current sieve plant. This result includes consumption for a macerator shredder, pre-filtering of the gratings and additional dewatering of the pulp. In the 2008/2009 campaign the plant was tested at the Brande potato flour factory, and here the plant achieved energy savings of 54% compared with the traditional sieve system. This result includes consumption for a shear pump for the homogenization of the gratings and additional consumption for dewatering of pulp. Pre-filtering of the gratings is not thought to be necessary. (ln)

  4. Toward an energy efficient community

    Science.gov (United States)

    Horn, M.

    1980-10-01

    The current oil policy of the OPEC countries means that a substantial oil shortage may be expected in the future. Conservative estimates indicate an oil shortage of 65 billion tons in the year 2000. The results of numerous new studies show that (from the technological point of view) the savings potential is high enough to achieve an absolute decrease in total energy consumption by the year 2000, provided better use is made of secondary energy sources in the form of electric power, gas, and solar heat.

  5. Energy efficiency and cleaner production

    International Nuclear Information System (INIS)

    Konstantinoff, M.; Grozeva, Iv.

    1999-01-01

    Energy is the fundamental driver of the economic growth in the todays society. It is an absolute prerequisite for the industrial development in the developed countries as well as for improving the quality of life and reducing the poverty in the developing world. It is expected that the energy demand in the developing countries will increase rapidly in the next decades, and will even exceed the level of consumption in the rich countries due to rising population and incomes. The burning of fossil fuel, however, inevitably leads to negative environmental impact, which no longer can be neglected

  6. International Congress on Energy Efficiency and Energy Related Materials

    CERN Document Server

    Bahsi, Zehra; Ozer, Mehmet; ENEFM2013

    2014-01-01

    The International Congress on Energy Efficiency and Energy Related Materials (ENEFM2013) was held on 9-12 October, 2013. This three-day congress focused on the latest developments of sustainable energy technologies, materials for sustainable energy applications and environmental & economic perspectives of energy. These proceedings include 63 peer reviewed technical papers, submitted from leading academic and research institutions from over 23 countries, representing some of the most cutting edge research available. The papers included were presented at the congress in the following sessions: General Issues Wind Energy Solar Energy Nuclear Energy Biofuels and Bioenergy Energy Storage Energy Conservation and Efficiency Energy in Buildings   Economical and Environmental Issues Environment Energy Requirements Economic Development   Materials for Sustainable Energy Hydrogen Production and Storage Photovoltaic Cells Thermionic Converters Batteries and Superconductors Phase Change Materials Fuel Cells Supercon...

  7. ENERGY EFFICIENCY. TRENDS AND INFLUENCE FACTORS

    Directory of Open Access Journals (Sweden)

    Zizi GOSCHIN

    2006-12-01

    Full Text Available Energy efficiency is correlated with many factors of influence: Gross National Income per capita, energy imports (% of energy use, renewable combustible and waste (% of total, energy use per capita, services as % of GDP and others. In this paper we are testing a model of piecewise linear regression with breakpoint in order to measure the influence of these factors on the variation of GDP per unit of energy use in Europe in the year 2003.

  8. Encouraging energy efficiency: Policies and programs

    International Nuclear Information System (INIS)

    Anon.

    1992-01-01

    Successfully overcoming the barriers to higher energy efficiency requires development of policies designed for specific users and locations. Reform of energy pricing, which entails removing subsidies and beginning internalization of externalities, is critical to give technology producers and users proper signals for investment and management decisions. But while a rise in energy prices increases the amount of energy-efficiency improvement that is cost-effective, it does not remove other barriers that deter investment. Minimum efficiency standards or agreements can raise the market floor, and are important because they affect the entire market in the near-term. But they may not raise the celining very much, and do little to push the efficiency frontier. To accomplish these goals, incentives and other market-development strategies are needed. Utility programs in particular can play a key role in pushing energy efficiency beyond the level where users are likely to invest on their own. Policies, programs, and pricing should complement one another. Pricing reform alone will not overcome the many entrenched barriers to higher energy efficiency, but trying to accelerate energy efficiency improvement without addressing energy pricing problems will lead to limited success. Whether tagerting new equipment or management of existing systems, policies must reflect a thorough understanding of the particular system and an awareness of the motivations of the actors. 25 refs

  9. Governance and communication for energy efficiency

    International Nuclear Information System (INIS)

    Thomas, Stefan

    2015-01-01

    Energy efficiency has multiple benefits. It usually is a win-win option for all aspects of sustainability – environment, social objectives, and economy. We need to evaluate and communicate these multiple benefits – to citizens, companies, and policy-makers. Due to strong market barriers, effective governance and policy packages for energy efficiency are needed. Evaluation shows effective policy can achieve around 2% per year of additional energy savings.

  10. Energy efficiency of milkmaid systems in Uruguay

    International Nuclear Information System (INIS)

    LLanos, E.; Astigarraga, L.; Jacques, R.; Picasso, V.

    2013-01-01

    Reducing fossil fuel consumption and increasing energy efficiency of agricultural systems may result in environmental and economic benefits. The aim of this study was to analyze dairy production systems from an energy perspective, to identify the main variables affecting energy efficiency and fossil energy consumption, through a model of inputs and outputs. The model included as inputs energy costs of food, labor, electricity, agrochemicals, fuels and machinery, and as outputs dairy and meat production. We analyzed a database of 30 dairy farms from southern Uruguay, from the Cooperative Nacional de Product ores de Leche (Conaprole), organized in three strata based on their dairy productivity per hectare. The fossil energy use was 2.40, 3.63 y 3.80 MJ.l-1 for productivity strata low, medium and high respectively (P<0.01). Energy efficiency averages were 1.40, 0.90 y 0.86 for the same strata (P<0.01). Fossil energy of agrochemicals and fuel accounted for more than 80% of the energy consumed in the three strata. The greater the percentage of concentrate in the diet, the lower energy efficiency (P<0.01). These results suggest the existence of a negative relationship between the intensification of dairy production and energy efficiency

  11. Performance and energy efficiency in wireless self-organized networks

    Energy Technology Data Exchange (ETDEWEB)

    Gao, C.

    2009-07-01

    Self-organized packet radio networks (ad-hoc networks) and wireless sensor networks have got massive attention recently. One of critical problems in such networks is the energy efficiency, because wireless nodes are usually powered by battery. Energy efficiency design can dramatically increase the survivability and stability of wireless ad-hoc/sensor networks. In this thesis the energy efficiency has been considered at different protocol layers for wireless ad-hoc/sensor networks. The energy consumption of wireless nodes is inspected at the physical layer and MAC layer. At the network layer, some current routing protocols are compared and special attention has been paid to reactive routing protocols. A minimum hop analysis is given and according to the analysis result, a modification of AODV routing is proposed. A variation of transmit power can be also applied to clustering algorithm, which is believed to be able to control the scalability of network. Clustering a network can also improve the energy efficiency. We offer a clustering scheme based on the link state measurement and variation of transmit power of intra-cluster and inter-cluster transmission. Simulation shows that it can achieve both targets. In association with the clustering algorithm, a global synchronization scheme is proposed to increase the efficiency of clustering algorithm. The research attention has been also paid to self-organization for multi-hop cellular networks. A 2-hop 2-slot uplink proposal to infrastructure-based cellular networks. The proposed solution can significantly increase the throughput of uplink communication and reduce the energy consumption of wireless terminals. (orig.)

  12. Energetic and exergetic efficiency modeling of a cargo aircraft by a topology improving neuro-evolution algorithm

    International Nuclear Information System (INIS)

    Baklacioglu, Tolga; Aydin, Hakan; Turan, Onder

    2016-01-01

    An aircraft is a complex system that requires methodologies for an efficient thermodynamic design process. So, it is important to gain a deeper understanding of energy and exergy use throughout an aircraft. The aim of this study is to propose a topology improving NE (neuro-evolution) algorithm modeling for assessing energy and exergy efficiency of a cargo aircraft for the phases of a flight. In this regard, energy and exergy data of the aircraft achieved from several engine runs at different power settings have been utilized to derive the ANN (artificial neural network) models optimized by a GA (genetic algorithm). NE of feed-forward networks trained by a BP (backpropagation) algorithm with momentum has assured the accomplishment of optimum initial network weights as well as the improvement of the network topology. The linear correlation coefficients very close to unity obtained for the derived ANN models have proved the tight fitting of the real data and the estimated values of the efficiencies provided by the models. Finally, compared to the trial-and-error case, evolving the networks by GAs has enhanced the accuracy of the modeling simply further as the reduction in the MSE (mean squared errors) for the energy and exergy efficiencies indicates. - Highlights: • Optimization using neuro-evolution algorithm. • Improved backpropagation algorithm using momentum factor. • Turboprop parameters as independent variables. • Energy and exergy efficiency modeling of a cargo aircraft.

  13. Energy Efficiency and Renewable Energy in SIPs and TIPs

    Science.gov (United States)

    Tools and guides to encourage state, tribal and local agencies to consider incorporating Energy Efficiency (EE) and Renewable Energy (RE) policies and programs in their State and Tribal Implementation Plans (SIPs/TIPs).

  14. Energy Efficiency Program Administrators and Building Energy Codes

    Science.gov (United States)

    Explore how energy efficiency program administrators have helped advance building energy codes at federal, state, and local levels—using technical, institutional, financial, and other resources—and discusses potential next steps.

  15. ANNIT - An Efficient Inversion Algorithm based on Prediction Principles

    Science.gov (United States)

    Růžek, B.; Kolář, P.

    2009-04-01

    Solution of inverse problems represents meaningful job in geophysics. The amount of data is continuously increasing, methods of modeling are being improved and the computer facilities are also advancing great technical progress. Therefore the development of new and efficient algorithms and computer codes for both forward and inverse modeling is still up to date. ANNIT is contributing to this stream since it is a tool for efficient solution of a set of non-linear equations. Typical geophysical problems are based on parametric approach. The system is characterized by a vector of parameters p, the response of the system is characterized by a vector of data d. The forward problem is usually represented by unique mapping F(p)=d. The inverse problem is much more complex and the inverse mapping p=G(d) is available in an analytical or closed form only exceptionally and generally it may not exist at all. Technically, both forward and inverse mapping F and G are sets of non-linear equations. ANNIT solves such situation as follows: (i) joint subspaces {pD, pM} of original data and model spaces D, M, resp. are searched for, within which the forward mapping F is sufficiently smooth that the inverse mapping G does exist, (ii) numerical approximation of G in subspaces {pD, pM} is found, (iii) candidate solution is predicted by using this numerical approximation. ANNIT is working in an iterative way in cycles. The subspaces {pD, pM} are searched for by generating suitable populations of individuals (models) covering data and model spaces. The approximation of the inverse mapping is made by using three methods: (a) linear regression, (b) Radial Basis Function Network technique, (c) linear prediction (also known as "Kriging"). The ANNIT algorithm has built in also an archive of already evaluated models. Archive models are re-used in a suitable way and thus the number of forward evaluations is minimized. ANNIT is now implemented both in MATLAB and SCILAB. Numerical tests show good

  16. LEAN and energy efficiency; Lean og energieffektivisering

    Energy Technology Data Exchange (ETDEWEB)

    Jespersen, Per T; Vesterager Christensen, D; Andersen, Hans [Teknologisk Institut, Energi og Klima, Taastrup (Denmark); Dam Wied, M; Dam, M [NRGi Raadgivning, Aarhus (Denmark); Thorndahl, M [Horsens Kommune, Horsens (Denmark); Weldingh, P [Lokal Energi, Viby J. (Denmark); Maagoee, P; Kristensen, Kenneth T [Viegand og Maagoee, Copenhagen (Denmark); Kirketerp Friis, A [Novozymes, Bagsvaerd (Denmark)

    2010-03-15

    By means of theoretical reports and three specific cases, the project showed how Lean principles can improve energy consulting efficiency, thus making it easier for end-users and energy consultants to record and document energy savings achieved. The three cases documented various types of extra benefits of integrating energy efficiency improvement in Lean processes. As a result of process optimisation, one manufacturing company successfully reduced both staffing and energy consumption, thus making production in Denmark competitive with out-sourced production in Asia. (LN)

  17. The Energy Efficiency of Onboard Hydrogen Storage

    DEFF Research Database (Denmark)

    Jensen, Jens Oluf; Vestbø, Andreas Peter; Li, Qingfeng

    2007-01-01

    A number of the most common ways of storing hydrogen are reviewed in terms of energy efficiency. Distinction is made between energy losses during regeneration and during hydrogen liberation. In the latter case, the energy might have to be provided by part of the released hydrogen, and the true...

  18. The Next Frontier in Industiral Energy Efficiency

    NARCIS (Netherlands)

    Worrell, E.

    2010-01-01

    Industry contributes directly and indirectly (through consumed electricity) about 37% of the global greenhouse gas emissions, of which over 80% is from energy use. Total energy-related emissions, which were 9.9 GtCO2 in 2004, have grown by 65% since 1971. In the near future, energy efficiency is

  19. Energy efficiency indicators. Case study, Liguria

    International Nuclear Information System (INIS)

    Ciarallo, M. A.

    2001-01-01

    The report examines the trend in the Liguria Region's energy requirements over the period 1988-1996. The trend was analysed using the regional energy balances and energy efficiency indicators, both in aggregate form and on a single sector basis. The residential sector, in particular, was singled out for an in-depth analysis using publishing and processed data [it

  20. Sustaining with efficiency the renewable energy sources

    International Nuclear Information System (INIS)

    Bano, L.; Lorenzoni, A.

    2008-01-01

    European energy policy requires actions, in favour of a more widespread diffusion of renewable energy sources. Is essential to have an efficient financial support to reduce costs. Are presented an estimated of electric power from renewable energy sources and some criticism. Is proposed a modification of green certificates market based on bilateral tradable agreements [it

  1. Modeling international trends in energy efficiency

    International Nuclear Information System (INIS)

    Stern, David I.

    2012-01-01

    I use a stochastic production frontier to model energy efficiency trends in 85 countries over a 37-year period. Differences in energy efficiency across countries are modeled as a stochastic function of explanatory variables and I estimate the model using the cross-section of time-averaged data, so that no structure is imposed on technological change over time. Energy efficiency is measured using a new energy distance function approach. The country using the least energy per unit output, given its mix of outputs and inputs, defines the global production frontier. A country's relative energy efficiency is given by its distance from the frontier—the ratio of its actual energy use to the minimum required energy use, ceteris paribus. Energy efficiency is higher in countries with, inter alia, higher total factor productivity, undervalued currencies, and smaller fossil fuel reserves and it converges over time across countries. Globally, technological change was the most important factor counteracting the energy-use and carbon-emissions increasing effects of economic growth.

  2. Energy efficiency and renewables policies: Promoting efficiency or facilitating monopsony?

    International Nuclear Information System (INIS)

    Brennan, Timothy J.

    2011-01-01

    The cliche in the electricity sector, the 'cheapest power plant is the one we don't build,' neglects the benefits of the energy that plant would generate. That economy-wide perspective need not apply in considering benefits to only consumers if not building that plant was the exercise of monopsony power. A regulator maximizing consumer welfare may need to avoid rationing demand at monopsony prices. Subsidizing energy efficiency to reduce electricity demand at the margin can solve that problem, if energy efficiency and electricity use are substitutes. Renewable energy subsidies, percentage use standards, or feed in tariffs may also serve monopsony as well with sufficient inelasticity in fossil fuel electricity supply. We may not observe these effects if the regulator can set price as well as quantity, lacks buyer-side market power, or is legally precluded from denying generators a reasonable return on capital. Nevertheless, the possibility of monopsony remains significant in light of the debate as to whether antitrust enforcement should maximize consumer welfare or total welfare. - Research Highlights: → Subsidizing energy efficiency can promote monopsony, if efficiency and use are substitutes. → Renewable energy subsidies, portfolio standards, or feed-in tariffs may also promote monopsony. → Effects require buyer-side market power and ability to deny generators a reasonable return. → Monopsony is significant in light of whether antitrust should maximize consumer or total welfare.

  3. Moving around efficiently: Energy and transportation

    Directory of Open Access Journals (Sweden)

    Hermans L. J. F.

    2013-06-01

    Full Text Available Worldwide, transportation takes almost 20% of the total energy use, and more than half of the oil consumption. By far the largest part is used by cars powered by internal combustion engines. The reason is simple: oil and gasoline are ideal energy carriers for transportation, since their energy density is extremely high. However, in terms of energy efficiency the internal combustion engine has a poor performance: about 25% only. How does this compare with electric cars? What are the alternative transportation systems and their efficiencies anyway? In this lecture we will analyse the efficiency of various transport systems, using elementary physics principles. We will look at cars, buses, trains and TGVs, ships, aircraft and zeppelins. Also the efficiency of human powered vehicles will be considered. Special attention is given to future mobile energy carriers like hydrogen, batteries and super capacitors.

  4. Energy efficiency. Lever for the German energy transition

    International Nuclear Information System (INIS)

    Persem, Melanie; Roesner, Sven

    2014-05-01

    This document provides some key data on energy consumption in housing and public buildings, indicates the national German objectives in terms of reduction of energy consumption, of reduction of electricity consumption, of energy efficiency, and of evolution of energy consumption in housing and public buildings and in the transport sector. It gives some data related to energy saving and achievements: energy efficiency of the German economy, improvements in housing energy efficiency and insulation, financial support for low income households, reduction of energy consumption within small-medium enterprises, the public sector, the data processing sector and public lighting, and energy saving potential by renewal of public buildings. It indicates the main measures and arrangements: information, support programs for enterprises, local communities and individuals. A graph illustrates a comparison of shares of household power consumption in France and in Germany

  5. Power shifts: the dynamics of energy efficiency

    International Nuclear Information System (INIS)

    Edenhofer, O.; Jaeger, C.C.

    1998-01-01

    Induced technical change is crucial for tackling the problem of timing in environmental policy. However, it is by no means obvious that the state has the ability to impose its will concerning technical change on the other relevant actors. Therefore, we conceptualize power in a non-linear model with social conflict and induced technical change. The model shows how economic growth, business cycles and innovation waves interact in the dynamics of energy efficiency. We assess three different ways of government control: energy taxes, energy and labor subsidies, and energy caps. Energy taxes help to select more energy efficient technologies. However, a successful selection of such technologies presupposes that they are available in the pool of technologies. As for energy subsidies, their existence helps to explain why in contemporary economies labor productivity grows faster than energy efficiency. With an energy cap, the social network of the relevant agents may be stabilized via social norms. It seems plausible that innovation waves comprise several business cycles and that such a wave is currently in the making. Proposals to postpone policies for improving energy efficiency increase the risk of energy inefficient lock-in effects. (Copyright (c) 1998 Elsevier Science B.V., Amsterdam. All rights reserved.)

  6. Generalized field-splitting algorithms for optimal IMRT delivery efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Kamath, Srijit [Department of Radiation Oncology, University of Florida, Gainesville, FL (United States); Sahni, Sartaj [Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL (United States); Li, Jonathan [Department of Radiation Oncology, University of Florida, Gainesville, FL (United States); Ranka, Sanjay [Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL (United States); Palta, Jatinder [Department of Radiation Oncology, University of Florida, Gainesville, FL (United States)

    2007-09-21

    Intensity-modulated radiation therapy (IMRT) uses radiation beams of varying intensities to deliver varying doses of radiation to different areas of the tissue. The use of IMRT has allowed the delivery of higher doses of radiation to the tumor and lower doses to the surrounding healthy tissue. It is not uncommon for head and neck tumors, for example, to have large treatment widths that are not deliverable using a single field. In such cases, the intensity matrix generated by the optimizer needs to be split into two or three matrices, each of which may be delivered using a single field. Existing field-splitting algorithms used the pre-specified arbitrary split line or region where the intensity matrix is split along a column, i.e., all rows of the matrix are split along the same column (with or without the overlapping of split fields, i.e., feathering). If three fields result, then the two splits are along the same two columns for all rows. In this paper we study the problem of splitting a large field into two or three subfields with the field width as the only constraint, allowing for an arbitrary overlap of the split fields, so that the total MU efficiency of delivering the split fields is maximized. Proof of optimality is provided for the proposed algorithm. An average decrease of 18.8% is found in the total MUs when compared to the split generated by a commercial treatment planning system and that of 10% is found in the total MUs when compared to the split generated by our previously published algorithm. For more information on this article, see medicalphysicsweb.org.

  7. Financial Crisis and Energy Efficiency. Information paper

    Energy Technology Data Exchange (ETDEWEB)

    de T' Serclaes, Philippine; Gasc, Emilien; Saussay, Aurelien

    2009-10-15

    Governments have understood the importance of financing energy efficiency now. This realisation is exemplified through the central role occupied by energy efficiency in most stimulus packages. The purpose of this memo is to identify the impact of the financial and economic crisis on the evolution of public sector investments, energy efficiency policy development, and private sector investments. The paper will first identify trends which have emerged from the implementation of IEA government stimulus packages. Most relevant case studies are then provided along with lessons and challenges.

  8. Energy efficient lighting in the retail sector

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    This Good Practice Guide gives details on how energy efficient lighting can be incorporated in the brief for a lighting consultant or contractor. The advantages of energy efficiency are highlighted, and the lighting of retail stores, the introduction of energy efficiency measures, and the application of good practice are discussed. Case studies of W H Smith, Cambridge, Tesco Stores, Boots plc, the Harvey Centre, Harlow, and the National Westminster Bank plc are presented. A guide for senior executives and specialists in lighting design is also included. (UK)

  9. Energy efficient distributed computing systems

    CERN Document Server

    Lee, Young-Choon

    2012-01-01

    The energy consumption issue in distributed computing systems raises various monetary, environmental and system performance concerns. Electricity consumption in the US doubled from 2000 to 2005.  From a financial and environmental standpoint, reducing the consumption of electricity is important, yet these reforms must not lead to performance degradation of the computing systems.  These contradicting constraints create a suite of complex problems that need to be resolved in order to lead to 'greener' distributed computing systems.  This book brings together a group of outsta

  10. Energy Balance Routing Algorithm Based on Virtual MIMO Scheme for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Jianpo Li

    2014-01-01

    Full Text Available Wireless sensor networks are usually energy limited and therefore an energy-efficient routing algorithm is desired for prolonging the network lifetime. In this paper, we propose a new energy balance routing algorithm which has the following three improvements over the conventional LEACH algorithm. Firstly, we propose a new cluster head selection scheme by taking into consideration the remaining energy and the most recent energy consumption of the nodes and the entire network. In this way, the sensor nodes with smaller remaining energy or larger energy consumption will be much less likely to be chosen as cluster heads. Secondly, according to the ratio of remaining energy to distance, cooperative nodes are selected to form virtual MIMO structures. It mitigates the uneven distribution of clusters and the unbalanced energy consumption of the whole network. Thirdly, we construct a comprehensive energy consumption model, which can reflect more realistically the practical energy consumption. Numerical simulations analyze the influences of cooperative node numbers and cluster head node numbers on the network lifetime. It is shown that the energy consumption of the proposed routing algorithm is lower than the conventional LEACH algorithm and for the simulation example the network lifetime is prolonged about 25%.

  11. Efficient Algorithms for Segmentation of Item-Set Time Series

    Science.gov (United States)

    Chundi, Parvathi; Rosenkrantz, Daniel J.

    We propose a special type of time series, which we call an item-set time series, to facilitate the temporal analysis of software version histories, email logs, stock market data, etc. In an item-set time series, each observed data value is a set of discrete items. We formalize the concept of an item-set time series and present efficient algorithms for segmenting a given item-set time series. Segmentation of a time series partitions the time series into a sequence of segments where each segment is constructed by combining consecutive time points of the time series. Each segment is associated with an item set that is computed from the item sets of the time points in that segment, using a function which we call a measure function. We then define a concept called the segment difference, which measures the difference between the item set of a segment and the item sets of the time points in that segment. The segment difference values are required to construct an optimal segmentation of the time series. We describe novel and efficient algorithms to compute segment difference values for each of the measure functions described in the paper. We outline a dynamic programming based scheme to construct an optimal segmentation of the given item-set time series. We use the item-set time series segmentation techniques to analyze the temporal content of three different data sets—Enron email, stock market data, and a synthetic data set. The experimental results show that an optimal segmentation of item-set time series data captures much more temporal content than a segmentation constructed based on the number of time points in each segment, without examining the item set data at the time points, and can be used to analyze different types of temporal data.

  12. Benchmarking urban energy efficiency in the UK

    International Nuclear Information System (INIS)

    Keirstead, James

    2013-01-01

    This study asks what is the ‘best’ way to measure urban energy efficiency. There has been recent interest in identifying efficient cities so that best practices can be shared, a process known as benchmarking. Previous studies have used relatively simple metrics that provide limited insight on the complexity of urban energy efficiency and arguably fail to provide a ‘fair’ measure of urban performance. Using a data set of 198 urban UK local administrative units, three methods are compared: ratio measures, regression residuals, and data envelopment analysis. The results show that each method has its own strengths and weaknesses regarding the ease of interpretation, ability to identify outliers and provide consistent rankings. Efficient areas are diverse but are notably found in low income areas of large conurbations such as London, whereas industrial areas are consistently ranked as inefficient. The results highlight the shortcomings of the underlying production-based energy accounts. Ideally urban energy efficiency benchmarks would be built on consumption-based accounts, but interim recommendations are made regarding the use of efficiency measures that improve upon current practice and facilitate wider conversations about what it means for a specific city to be energy-efficient within an interconnected economy. - Highlights: • Benchmarking is a potentially valuable method for improving urban energy performance. • Three different measures of urban energy efficiency are presented for UK cities. • Most efficient areas are diverse but include low-income areas of large conurbations. • Least efficient areas perform industrial activities of national importance. • Improve current practice with grouped per capita metrics or regression residuals

  13. Enhanced Particle Swarm Optimization Algorithm: Efficient Training of ReaxFF Reactive Force Fields.

    Science.gov (United States)

    Furman, David; Carmeli, Benny; Zeiri, Yehuda; Kosloff, Ronnie

    2018-05-04

    Particle swarm optimization is a powerful metaheuristic population-based global optimization algorithm. However, when applied to non-separable objective functions its performance on multimodal landscapes is significantly degraded. Here we show that a significant improvement in the search quality and efficiency on multimodal functions can be achieved by enhancing the basic rotation-invariant particle swarm optimization algorithm with isotropic Gaussian mutation operators. The new algorithm demonstrates a superior performance across several nonlinear, multimodal benchmark functions compared to the rotation-invariant Particle Swam Optimization (PSO) algorithm and the well-established simulated annealing and sequential one-parameter parabolic interpolation methods. A search for the optimal set of parameters for the dispersion interaction model in ReaxFF-lg reactive force field is carried out with respect to accurate DFT-TS calculations. The resulting optimized force field accurately describes the equations of state of several high-energy molecular crystals where such interactions are of crucial importance. The improved algorithm also presents a better performance compared to a Genetic Algorithm optimization method in the optimization of a ReaxFF-lg correction model parameters. The computational framework is implemented in a standalone C++ code that allows a straightforward development of ReaxFF reactive force fields.

  14. Energy Saving: Scaling Network Energy Efficiency Faster than Traffic Growth

    NARCIS (Netherlands)

    Chen, Y.; Blume, O.; Gati, A.; Capone, A.; Wu, C.-E.; Barth, U.; Marzetta, T.; Zhang, H.; Xu, S.

    2013-01-01

    As the mobile traffic is expected to continue its exponential growth in the near future, energy efficiency has gradually become a must criterion for wireless network design. Three fundamental questions need to be answered before the detailed design could be carried out, namely what energy efficiency

  15. China Energy Group - Sustainable Growth Through EnergyEfficiency

    Energy Technology Data Exchange (ETDEWEB)

    Levine, Mark; Fridley, David; Lin, Jiang; Sinton, Jonathan; Zhou,Nan; Aden, Nathaniel; Huang, Joe; Price, Lynn; McKane, Aimee T.

    2006-03-20

    China is fueling its phenomenal economic growth with huge quantities of coal. The environmental consequences reach far beyond its borders--China is second only to the United States in greenhouse gas emissions. Expanding its supply of other energy sources, like nuclear power and imported oil, raises trade and security issues. Soaring electricity demand necessitates the construction of 40-70 GW of new capacity per year, creating sustained financing challenges. While daunting, the challenge of meeting China's energy needs presents a wealth of opportunities, particularly in meeting demand through improved energy efficiency and other clean energy technologies. The China Energy Group at the Lawrence Berkeley National Laboratory (LBNL) is committed to understanding these opportunities, and to exploring their implications for policy and business. We work collaboratively with energy researchers, suppliers, regulators, and consumers in China and elsewhere to: better understand the dynamics of energy use in China. Our Research Focus Encompasses Three Major Areas: Buildings, Industry, and Cross-Cutting Activities. Buildings--working to promote energy-efficient buildings and energy-efficient equipment used in buildings. Current work includes promoting the design and use of minimum energy efficiency standards and energy labeling for appliances, and assisting in the development and implementation of building codes for energy-efficient residential and commercial/public buildings. Past work has included a China Residential Energy Consumption Survey and a study of the health impacts of rural household energy use. Industry--understanding China's industrial sector, responsible for the majority of energy consumption in China. Current work includes benchmarking China's major energy-consuming industries to world best practice, examining energy efficiency trends in China's steel and cement industries, implementing voluntary energy efficiency agreements in various

  16. Energy-efficient wireless mesh infrastructures

    OpenAIRE

    Al-Hazmi, Y.; de Meer, Hermann; Hummel, Karin Anna; Meyer, Harald; Meo, Michela; Remondo Bueno, David

    2011-01-01

    The Internet comprises access segments with wired and wireless technologies. In the future, we can expect wireless mesh infrastructures (WMIs) to proliferate in this context. Due to the relatively low energy efficiency of wireless transmission, as compared to wired transmission, energy consumption of WMIs can represent a significant part of the energy consumption of the Internet as a whole. We explore different approaches to reduce energy consumption in WMIs, taking into accoun...

  17. Productivity benefits of industrial energy efficiency measures

    Energy Technology Data Exchange (ETDEWEB)

    Worrell, Ernst; Laitner, John A.; Michael, Ruth; Finman, Hodayah

    2004-08-30

    We review the relationship between energy efficiency improvement measures and productivity in industry. We review over 70 industrial case studies from widely available published databases, followed by an analysis of the representation of productivity benefits in energy modeling. We propose a method to include productivity benefits in the economic assessment of the potential for energy efficiency improvement. The case-study review suggests that energy efficiency investments can provide a significant boost to overall productivity within industry. If this relationship holds, the description of energy-efficient technologies as opportunities for larger productivity improvements has significant implications for conventional economic assessments. The paper explores the implications this change in perspective on the evaluation of energy-efficient technologies for a study of the iron and steel industry in the US. This examination shows that including productivity benefits explicitly in the modeling parameters would double the cost-effective potential for energy efficiency improvement, compared to an analysis excluding those benefits. We provide suggestions for future research in this important area.

  18. Energy Efficiency Plan 2009-2012; Energie Efficiency Plan 2009-2012

    Energy Technology Data Exchange (ETDEWEB)

    Meulen, M.M.W. (ed.)

    2009-02-15

    The aim of the Energy Efficiency Plan is to give an overview of the energy conservation plans of the Eindhoven University of Technology in Eindhoven, Netherlands, which must result in efficient use of energy conform the long-range agreements between businesses, industry and organizations and the Dutch government to improve energy efficiency (MJA3) [Dutch] Het doel van het EEP (Energie Efficiency Plan) is het in beeld brengen van de energiebesparingsplannen die leiden tot een efficienter gebruik van energie conform de MJA-3 afspraak (de derde Meerjaren Afspraak)

  19. A maximum power point tracking algorithm for buoy-rope-drum wave energy converters

    Science.gov (United States)

    Wang, J. Q.; Zhang, X. C.; Zhou, Y.; Cui, Z. C.; Zhu, L. S.

    2016-08-01

    The maximum power point tracking control is the key link to improve the energy conversion efficiency of wave energy converters (WEC). This paper presents a novel variable step size Perturb and Observe maximum power point tracking algorithm with a power classification standard for control of a buoy-rope-drum WEC. The algorithm and simulation model of the buoy-rope-drum WEC are presented in details, as well as simulation experiment results. The results show that the algorithm tracks the maximum power point of the WEC fast and accurately.

  20. Energy efficiency benchmarking of energy-intensive industries in Taiwan

    International Nuclear Information System (INIS)

    Chan, David Yih-Liang; Huang, Chi-Feng; Lin, Wei-Chun; Hong, Gui-Bing

    2014-01-01

    Highlights: • Analytical tool was applied to estimate the energy efficiency indicator of energy intensive industries in Taiwan. • The carbon dioxide emission intensity in selected energy-intensive industries is also evaluated in this study. • The obtained energy efficiency indicator can serve as a base case for comparison to the other regions in the world. • This analysis results can serve as a benchmark for selected energy-intensive industries. - Abstract: Taiwan imports approximately 97.9% of its primary energy as rapid economic development has significantly increased energy and electricity demands. Increased energy efficiency is necessary for industry to comply with energy-efficiency indicators and benchmarking. Benchmarking is applied in this work as an analytical tool to estimate the energy-efficiency indicators of major energy-intensive industries in Taiwan and then compare them to other regions of the world. In addition, the carbon dioxide emission intensity in the iron and steel, chemical, cement, textile and pulp and paper industries are evaluated in this study. In the iron and steel industry, the energy improvement potential of blast furnace–basic oxygen furnace (BF–BOF) based on BPT (best practice technology) is about 28%. Between 2007 and 2011, the average specific energy consumption (SEC) of styrene monomer (SM), purified terephthalic acid (PTA) and low-density polyethylene (LDPE) was 9.6 GJ/ton, 5.3 GJ/ton and 9.1 GJ/ton, respectively. The energy efficiency of pulping would be improved by 33% if BAT (best available technology) were applied. The analysis results can serve as a benchmark for these industries and as a base case for stimulating changes aimed at more efficient energy utilization

  1. Research for energy efficiency; Forschung fuer Energieeffizienz

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2010-09-15

    The Federal Ministry of Economy enhanced its funding for research in the field of non-nuclear energy in the programme ''Forschung fuer Energieeffizienz'' (Research for Energy Efficiency). The programme focuses on established areas like modern power plant technologies (''Moderne Kraftwerkstechnologien''), fuel cells and hydrogen (''Brennstoffzelle, Wasserstoff''), and energy-optimized building construction (''Energieoptimiertes Bauen''). New subjects are energy-efficient towns and cities (''Energieeffiziente Stadt''), power grids for future power supply (''Netze fuer die Stromversorgung der Zukunft''), power storage (''Stromspeicher''), and electromobility (''Elektromobilitaet''). The brochure presents research and demonstration projects that illustrate the situation in 2010 when the programme was initiated. (orig.)

  2. Energy efficiency in existing detached housing

    DEFF Research Database (Denmark)

    Gram-Hanssen, Kirsten; Christensen, Toke Haunstrup

    This memo is written as an input to the German project Enef-haus on energy- efficient restoration of single-family houses in Germany. The memo contains a summary of the Danish experiences divided into three main sections: first is a short historic overview of the Danish energy policy indicating...... when different relevant instruments have been introduced to increase the energy efficiency of privately owned single-family houses. Second is a short introduction to the Danish housing sector and its energy supplies. The third and main part of the report is an examination of the most recent...

  3. Tariff regulation with energy efficiency goals

    International Nuclear Information System (INIS)

    Abrardi, Laura; Cambini, Carlo

    2015-01-01

    We study the optimal tariff structure that could induce a regulated utility to promote energy efficiency by its customers given that it is privately informed about the effectiveness of its effort on demand reduction. The regulator should optimally offer a menu of incentive compatible two-part tariffs. If the firm's energy efficiency activities have a high impact on demand reduction, the consumer should pay a high fixed fee but a low per unit price, approximating the tariff structure to a decoupling policy, which strengthens the firm's incentives to pursue energy conservation. Instead, if the firm's effort to adopt energy efficiency actions is scarcely effective, the tariff is characterized by a low fixed fee but a high price per unit of energy consumed, thus shifting the incentives for energy conservation on consumers. The optimal tariff structure also depends on the cost of the consumer's effort (in case the consumer can also adopt energy efficiency measures) and on the degree of substitutability between the consumer's and the firm's efforts. - Highlights: • We study the optimal tariff structure that induces an utility to adopt energy efficiency activities. • The regulator optimally offer a menu of incentive compatible two-part tariffs. • If energy efficiency activities have a high effectiveness, decoupling emerges as a solution. • If the energy efficiency actions are less effective, the tariff has a higher per unit price and lower fixed fee. • The optimal tariff structure also depends on the degree of substitutability between the consumer's and the firm's efforts

  4. The promotion of energy efficiency in Italy

    International Nuclear Information System (INIS)

    De Paoli, L.; Bongiolatti, L.

    2006-01-01

    In 2004 Italy introduced an obligation for electricity and gas distribution companies to reach specific objectives regarding the improvement of energy efficiency in final energy consumption. The scope of the provision is to promote investments in energy efficiency in order to meet the greenhouse gases reduction target set by the Kyoto protocol. The adoption of binding targets of energy efficiency will also lead to the development of an energy services market, modifying the traditional relation between energy dealers and final consumers, thus leading to a more efficient use of the available resources. Similar mechanisms have already been applied in other European countries (as France and United Kingdom) and will be likely introduced in other countries with the implementation of European Directive on energy end-use efficiency and energy services. This paper describes and analyzes both the measures adopted in Italy and the results obtained after the first year of operation of the mechanism. The paper is divided in six different sections. In the first part we highlight the main problems related to the development of system based on tradable white certificates. In the second part we provide a brief description of the Italian regulatory context. In the third part there is an economic analysis of investments in energy efficiency. The fourth part considers the different options that distribution companies face in order to reach the energy efficiency targets. The fifth part shows the results obtained after the first year of operation of the mechanism. Finally, we propose some possible modifications to the scheme adopted in Italy considering the results obtained and the alternative solutions already applied in France and United Kingdom [it

  5. Fourth Annual Report on Energy Efficiency

    International Nuclear Information System (INIS)

    Di Franco, Nino; Bertini, Ilaria; Federici, Alessandro; Moneta Roberto

    2015-01-01

    Here we present the main elements of the annual report on energy efficiency 2015. The results indicate that, thanks to national policies for energy efficiency, Italy saved over 7.5 million tons of oil equivalent per year in the period 2005-2013. Compared to the National Plan for Energy Efficiency 2014, the report shows that the 2020 objectives have already been achieved for more than 20%, with residential (35.7% of the target) and industry (26.6%) among the sectors that contributed most to this result. Substantial savings could result from the agribusiness sector through the dissemination of efficient technologies in the logistics and large retail chains. A key role lies with the banks: 86% of banks has developed products dedicated to efficiency, necessitating guidelines for replicability of projects, and audit and rating to assess their quality [it

  6. Energy efficiency in future wireless broadband networks

    CSIR Research Space (South Africa)

    Masonta, MT

    2012-10-01

    Full Text Available greener economy and environment. In this research, we investigate the concept of green radio communications in wireless networks and discuss approaches for energy efficient solutions in wireless broadband network deployments. These solutions include...

  7. National Action Plan for Energy Efficiency

    Science.gov (United States)

    Provides resources for policy-makers, consumers, utilities, and others produced through NAPEE - a private-public initiative to create a sustainable, aggressive national commitment to energy efficiency through a collaborative effort of stakeholders.

  8. Building Energy Efficiency through Innovative Thermodevices (BEEIT)

    Energy Technology Data Exchange (ETDEWEB)

    Ju, Y. Sungtaek [Univ. of California, Los Angeles, CA (United States); Dunn, Bruce [Univ. of California, Los Angeles, CA (United States); Pei, Qibing [Univ. of California, Los Angeles, CA (United States); Kim, C. -J. [Univ. of California, Los Angeles, CA (United States)

    2012-12-14

    This is the final scientific/technical report for the project "Compact MEMS Electrocaloric Cooling Module" sponsored by ARAPA-E as part of its Building Energy Efficiency through Innovative Thermodevices (BEEIT) program.

  9. An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks.

    Science.gov (United States)

    Pirbhulal, Sandeep; Zhang, Heye; Mukhopadhyay, Subhas Chandra; Li, Chunyue; Wang, Yumei; Li, Guanglin; Wu, Wanqing; Zhang, Yuan-Ting

    2015-06-26

    Body Sensor Network (BSN) is a network of several associated sensor nodes on, inside or around the human body to monitor vital signals, such as, Electroencephalogram (EEG), Photoplethysmography (PPG), Electrocardiogram (ECG), etc. Each sensor node in BSN delivers major information; therefore, it is very significant to provide data confidentiality and security. All existing approaches to secure BSN are based on complex cryptographic key generation procedures, which not only demands high resource utilization and computation time, but also consumes large amount of energy, power and memory during data transmission. However, it is indispensable to put forward energy efficient and computationally less complex authentication technique for BSN. In this paper, a novel biometric-based algorithm is proposed, which utilizes Heart Rate Variability (HRV) for simple key generation process to secure BSN. Our proposed algorithm is compared with three data authentication techniques, namely Physiological Signal based Key Agreement (PSKA), Data Encryption Standard (DES) and Rivest Shamir Adleman (RSA). Simulation is performed in Matlab and results suggest that proposed algorithm is quite efficient in terms of transmission time utilization, average remaining energy and total power consumption.

  10. An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks

    Directory of Open Access Journals (Sweden)

    Sandeep Pirbhulal

    2015-06-01

    Full Text Available Body Sensor Network (BSN is a network of several associated sensor nodes on, inside or around the human body to monitor vital signals, such as, Electroencephalogram (EEG, Photoplethysmography (PPG, Electrocardiogram (ECG, etc. Each sensor node in BSN delivers major information; therefore, it is very significant to provide data confidentiality and security. All existing approaches to secure BSN are based on complex cryptographic key generation procedures, which not only demands high resource utilization and computation time, but also consumes large amount of energy, power and memory during data transmission. However, it is indispensable to put forward energy efficient and computationally less complex authentication technique for BSN. In this paper, a novel biometric-based algorithm is proposed, which utilizes Heart Rate Variability (HRV for simple key generation process to secure BSN. Our proposed algorithm is compared with three data authentication techniques, namely Physiological Signal based Key Agreement (PSKA, Data Encryption Standard (DES and Rivest Shamir Adleman (RSA. Simulation is performed in Matlab and results suggest that proposed algorithm is quite efficient in terms of transmission time utilization, average remaining energy and total power consumption.

  11. An Efficient Biometric-Based Algorithm Using Heart Rate Variability for Securing Body Sensor Networks

    Science.gov (United States)

    Pirbhulal, Sandeep; Zhang, Heye; Mukhopadhyay, Subhas Chandra; Li, Chunyue; Wang, Yumei; Li, Guanglin; Wu, Wanqing; Zhang, Yuan-Ting

    2015-01-01

    Body Sensor Network (BSN) is a network of several associated sensor nodes on, inside or around the human body to monitor vital signals, such as, Electroencephalogram (EEG), Photoplethysmography (PPG), Electrocardiogram (ECG), etc. Each sensor node in BSN delivers major information; therefore, it is very significant to provide data confidentiality and security. All existing approaches to secure BSN are based on complex cryptographic key generation procedures, which not only demands high resource utilization and computation time, but also consumes large amount of energy, power and memory during data transmission. However, it is indispensable to put forward energy efficient and computationally less complex authentication technique for BSN. In this paper, a novel biometric-based algorithm is proposed, which utilizes Heart Rate Variability (HRV) for simple key generation process to secure BSN. Our proposed algorithm is compared with three data authentication techniques, namely Physiological Signal based Key Agreement (PSKA), Data Encryption Standard (DES) and Rivest Shamir Adleman (RSA). Simulation is performed in Matlab and results suggest that proposed algorithm is quite efficient in terms of transmission time utilization, average remaining energy and total power consumption. PMID:26131666

  12. Determinants of energy efficiency across countries

    Science.gov (United States)

    Yao, Guolin

    With economic development, environmental concerns become more important. Economies cannot be developed without energy consumption, which is the major source of greenhouse gas emissions. Higher energy efficiency is one means of reducing emissions, but what determines energy efficiency? In this research we attempt to find answers to this question by using cross-sectional country data; that is, we examine a wide range of possible determinants of energy efficiency at the country level in an attempt to find the most important causal factors. All countries are divided into three income groups: high-income countries, middle-income countries, and low-income countries. Energy intensity is used as a measurement of energy efficiency. All independent variables belong to two categories: quantitative and qualitative. Quantitative variables are measures of the economic conditions, development indicators and energy usage situations. Qualitative variables mainly measure political, societal and economic strengths of a country. The three income groups have different economic and energy attributes. Each group has different sets of variables to explain energy efficiency. Energy prices and winter temperature are both important in high-income and middle-income countries. No qualitative variables appear in the model of high-income countries. Basic economic factors, such as institutions, political stability, urbanization level, population density, are important in low-income countries. Besides similar variables, such as macroeconomic stability and index of rule of law, the hydroelectricity share in total electric generation is also a driver of energy efficiency in middle-income countries. These variables have different policy implications for each group of countries.

  13. The energy-efficiency business - Energy utility strategies

    International Nuclear Information System (INIS)

    Loebbe, S.

    2009-01-01

    This article takes a look at the energy-efficiency business and the advantages it offers. The author quotes that energy-efficiency can contribute to making savings in primary energy, minimise the economic impact of global warming, improve reliability of supply and protect the gross national product. The advantages of new products for the efficient use of energy are reviewed and the resulting advantages for power customers are noted. Also, possibilities for the positioning of electricity suppliers in the environmental niche is noted. The partial markets involved and estimates concerning the impact of energy-efficiency measures are reviewed. Climate protection, co-operation with energy agencies, consulting services and public relations aspects are also discussed. The prerequisites for successful marketing by the utilities are examined and new business models are discussed along with the clear strategies needed. The development from an electricity utility to a system-competence partner is reviewed

  14. Energy-efficient fault-tolerant systems

    CERN Document Server

    Mathew, Jimson; Pradhan, Dhiraj K

    2013-01-01

    This book describes the state-of-the-art in energy efficient, fault-tolerant embedded systems. It covers the entire product lifecycle of electronic systems design, analysis and testing and includes discussion of both circuit and system-level approaches. Readers will be enabled to meet the conflicting design objectives of energy efficiency and fault-tolerance for reliability, given the up-to-date techniques presented.

  15. Energy Efficiency in Grocery Distribution in Denmark

    DEFF Research Database (Denmark)

    Jørgensen, Kaj

    1997-01-01

    Evaluation of the development of the energy efficiency of grocery distribution from 1960 to the present in Denmark, covering both the distribution to the shops and the shopping transport (distribution from shops to individual homes)......Evaluation of the development of the energy efficiency of grocery distribution from 1960 to the present in Denmark, covering both the distribution to the shops and the shopping transport (distribution from shops to individual homes)...

  16. Energy Efficient Routing in Wireless Sensor Networks Through Balanced Clustering

    Directory of Open Access Journals (Sweden)

    Christos Douligeris

    2013-01-01

    Full Text Available The wide utilization of Wireless Sensor Networks (WSNs is obstructed by the severely limited energy constraints of the individual sensor nodes. This is the reason why a large part of the research in WSNs focuses on the development of energy efficient routing protocols. In this paper, a new protocol called Equalized Cluster Head Election Routing Protocol (ECHERP, which pursues energy conservation through balanced clustering, is proposed. ECHERP models the network as a linear system and, using the Gaussian elimination algorithm, calculates the combinations of nodes that can be chosen as cluster heads in order to extend the network lifetime. The performance evaluation of ECHERP is carried out through simulation tests, which evince the effectiveness of this protocol in terms of network energy efficiency when compared against other well-known protocols.

  17. An Efficiency Analysis of Augmented Reality Marker Recognition Algorithm

    Directory of Open Access Journals (Sweden)

    Kurpytė Dovilė

    2014-05-01

    Full Text Available The article reports on the investigation of augmented reality system which is designed for identification and augmentation of 100 different square markers. Marker recognition efficiency was investigated by rotating markers along x and y axis directions in range from −90° to 90°. Virtual simulations of four environments were developed: a an intense source of light, b an intense source of light falling from the left side, c the non-intensive light source falling from the left side, d equally falling shadows. The graphics were created using the OpenGL graphics computer hardware interface; image processing was programmed in C++ language using OpenCV, while augmented reality was developed in Java programming language using NyARToolKit. The obtained results demonstrate that augmented reality marker recognition algorithm is accurate and reliable in the case of changing lighting conditions and rotational angles - only 4 % markers were unidentified. Assessment of marker recognition efficiency let to propose marker classification strategy in order to use it for grouping various markers into distinct markers’ groups possessing similar recognition properties.

  18. Efficient Online Learning Algorithms Based on LSTM Neural Networks.

    Science.gov (United States)

    Ergen, Tolga; Kozat, Suleyman Serdar

    2017-09-13

    We investigate online nonlinear regression and introduce novel regression structures based on the long short term memory (LSTM) networks. For the introduced structures, we also provide highly efficient and effective online training methods. To train these novel LSTM-based structures, we put the underlying architecture in a state space form and introduce highly efficient and effective particle filtering (PF)-based updates. We also provide stochastic gradient descent and extended Kalman filter-based updates. Our PF-based training method guarantees convergence to the optimal parameter estimation in the mean square error sense provided that we have a sufficient number of particles and satisfy certain technical conditions. More importantly, we achieve this performance with a computational complexity in the order of the first-order gradient-based methods by controlling the number of particles. Since our approach is generic, we also introduce a gated recurrent unit (GRU)-based approach by directly replacing the LSTM architecture with the GRU architecture, where we demonstrate the superiority of our LSTM-based approach in the sequential prediction task via different real life data sets. In addition, the experimental results illustrate significant performance improvements achieved by the introduced algorithms with respect to the conventional methods over several different benchmark real life data sets.

  19. Building energy efficiency in rural China

    International Nuclear Information System (INIS)

    Evans, Meredydd; Yu, Sha; Song, Bo; Deng, Qinqin; Liu, Jing; Delgado, Alison

    2014-01-01

    Rural buildings in China now account for more than half of China's total building energy use. Forty percent of the floorspace in China is in rural villages and towns. Most of these buildings are very energy inefficient, and may struggle to provide for basic needs. They are cold in the winter, and often experience indoor air pollution from fuel use. The Chinese government plans to adopt a voluntary building energy code, or design standard, for rural homes. The goal is to build on China's success with codes in urban areas to improve efficiency and comfort in rural homes. The Chinese government recognizes rural buildings represent a major opportunity for improving national building energy efficiency. The challenges of rural China are also greater than those of urban areas in many ways because of the limited local capacity and low income levels. The Chinese government wants to expand on new programs to subsidize energy efficiency improvements in rural homes to build capacity for larger-scale improvement. This article summarizes the trends and status of rural building energy use in China. It then provides an overview of the new rural building design standard, and describes options and issues to move forward with implementation. - Highlights: • Building energy use is larger in rural China than in cities. • Rural buildings are very energy intensive, and energy use is growing with incomes. • A new design standard aims to help rural communities build more efficiently. • Important challenges remain with implementation

  20. Municipalities as promoters of energy efficient buildings

    DEFF Research Database (Denmark)

    Quitzau, Maj-Britt; Hoffmann, Birgitte; Elle, Morten

    Planning authorities generally experience difficulties in disseminating energy efficient technologies in the built environment. Although planning authorities formulate objectives to promote energy efficient build-ings, these objectives often turn out to be declarations of intent, since the author......Planning authorities generally experience difficulties in disseminating energy efficient technologies in the built environment. Although planning authorities formulate objectives to promote energy efficient build-ings, these objectives often turn out to be declarations of intent, since...... with practitioners in the building sector at the local level. The aim of this report is to look into municipal efforts to promote energy efficient buildings to learn from their experiences: What types of challenges are municipalities facing, when attempting to disseminate energy efficient technologies in local...... building projects through municipal planning practices, and how do they cope with these challenges? The report is based on an in-depth study of proactive planning practices performed by municipal partners in the Class 1 project and a series of experiences, strategies and instru-ments are identified...

  1. Energy saving and energy efficiency concepts for policy making

    International Nuclear Information System (INIS)

    Oikonomou, V.; Becchis, F.; Steg, L.; Russolillo, D.

    2009-01-01

    Departing from the concept of rational use of energy, the paper outlines the microeconomics of end-use energy saving as a result of frugality or efficiency measures. Frugality refers to the behaviour that is aimed at energy conservation, and with efficiency we refer to the technical ratio between energy input and output services that can be modified with technical improvements (e.g. technology substitution). Changing behaviour from one side and technology from the other are key issues for public energy policy. In this paper, we attempt to identify the effects of parameters that determine energy saving behaviour with the use of the microeconomic theory. The role of these parameters is crucial and can determine the outcome of energy efficiency policies; therefore policymakers should properly address them when designing policies.

  2. Energy saving and energy efficiency concepts for policy making

    Energy Technology Data Exchange (ETDEWEB)

    Oikonomou, V. [SOM, University of Groningen, PO Box 800, 9700 AV Groningen (Netherlands); Becchis, F. [POLIS Department, University of East Piedmont, via Duomo, 6-13100 Vercelli (Italy); Steg, L. [Faculty of Behavioural and Social Sciences, University of Groningen, P.O. Box 72 9700 AB (Netherlands); Russolillo, D. [Fondazione per l' Ambiente ' T. Fenoglio' , Via Gaudenzio Ferrari 1, I-10124 Torino (Italy)

    2009-11-15

    Departing from the concept of rational use of energy, the paper outlines the microeconomics of end-use energy saving as a result of frugality or efficiency measures. Frugality refers to the behaviour that is aimed at energy conservation, and with efficiency we refer to the technical ratio between energy input and output services that can be modified with technical improvements (e.g. technology substitution). Changing behaviour from one side and technology from the other are key issues for public energy policy. In this paper, we attempt to identify the effects of parameters that determine energy saving behaviour with the use of the microeconomic theory. The role of these parameters is crucial and can determine the outcome of energy efficiency policies; therefore policymakers should properly address them when designing policies. (author)

  3. Evaluating Energy Efficiency Policies with Energy-Economy Models

    Energy Technology Data Exchange (ETDEWEB)

    Mundaca, Luis; Neij, Lena; Worrell, Ernst; McNeil, Michael A.

    2010-08-01

    The growing complexities of energy systems, environmental problems and technology markets are driving and testing most energy-economy models to their limits. To further advance bottom-up models from a multidisciplinary energy efficiency policy evaluation perspective, we review and critically analyse bottom-up energy-economy models and corresponding evaluation studies on energy efficiency policies to induce technological change. We use the household sector as a case study. Our analysis focuses on decision frameworks for technology choice, type of evaluation being carried out, treatment of market and behavioural failures, evaluated policy instruments, and key determinants used to mimic policy instruments. Although the review confirms criticism related to energy-economy models (e.g. unrealistic representation of decision-making by consumers when choosing technologies), they provide valuable guidance for policy evaluation related to energy efficiency. Different areas to further advance models remain open, particularly related to modelling issues, techno-economic and environmental aspects, behavioural determinants, and policy considerations.

  4. Evaluating energy efficiency policies with energy-economy models

    NARCIS (Netherlands)

    Mundaca, L.; Neij, L.; Worrell, E.; McNeil, M.

    2010-01-01

    The growing complexities of energy systems, environmental problems, and technology markets are driving and testing most energy-economy models to their limits. To further advance bottom-up models from a multidisciplinary energy efficiency policy evaluation perspective, we review and critically

  5. Efficient Reactive Power Compensation Algorithm for Distribution Network

    Directory of Open Access Journals (Sweden)

    J. Jerome

    2017-12-01

    Full Text Available The use of automation and energy efficient equipment with electronic control would greatly improve industrial production.  These new devices are more sensitive to supply voltage deviation and the characteristics of the power system that was previously ignored are now very important. Hence the benefits of distribution automation have been widely acknowledged in recent years. This paper proposes an efficient load flow solution technique extended to find optimum location for reactive power compensation and network reconfiguration for planning and day-to-day operation of distribution networks.  This is required as a part of the distribution automation system (DAS for taking various control and operation decisions.  The method exploits the radial nature of the network and uses forward and backward propagation technique to calculate branch currents and node voltages.  The proposed method has been tested to analyze several practical distribution networks of various voltage levels and also having high R/X ratio.

  6. The energy efficiency of lead selfsputtering

    DEFF Research Database (Denmark)

    Andersen, Hans Henrik

    1968-01-01

    The sputtering efficiency (i.e. ratio between sputtered energy and impinging ion energy) has been measured for 30–75‐keV lead ions impinging on polycrystalline lead. The results are in good agreement with recent theoretical estimates. © 1968 The American Institute of Physics...

  7. 25 energy efficiency policy recommendations. 2011 update

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2011-07-01

    The IEA recommends that G8 leaders adopt and urgently implement this package of measures to significantly enhance energy efficiency. This package was developed under the Gleneagles G8 Plan of Action, which mandates the pursuit of a clean, clever and competitive energy future.

  8. Energy Efficient Routing in Nomadic Networks

    DEFF Research Database (Denmark)

    Kristensen, Mads Darø; Bouvin, Niels Olof

    2007-01-01

    We present an evaluation of a novel energy-efficient routing protocol for mobile ad-hoc networks. We combine two techniques for optimizing energy levels with a well-known routing protocol. We examine the behavior of this combination in a nomadic network setting, where some nodes are stationary...

  9. Efficient generation of image chips for training deep learning algorithms

    Science.gov (United States)

    Han, Sanghui; Fafard, Alex; Kerekes, John; Gartley, Michael; Ientilucci, Emmett; Savakis, Andreas; Law, Charles; Parhan, Jason; Turek, Matt; Fieldhouse, Keith; Rovito, Todd

    2017-05-01

    Training deep convolutional networks for satellite or aerial image analysis often requires a large amount of training data. For a more robust algorithm, training data need to have variations not only in the background and target, but also radiometric variations in the image such as shadowing, illumination changes, atmospheric conditions, and imaging platforms with different collection geometry. Data augmentation is a commonly used approach to generating additional training data. However, this approach is often insufficient in accounting for real world changes in lighting, location or viewpoint outside of the collection geometry. Alternatively, image simulation can be an efficient way to augment training data that incorporates all these variations, such as changing backgrounds, that may be encountered in real data. The Digital Imaging and Remote Sensing Image Image Generation (DIRSIG) model is a tool that produces synthetic imagery using a suite of physics-based radiation propagation modules. DIRSIG can simulate images taken from different sensors with variation in collection geometry, spectral response, solar elevation and angle, atmospheric models, target, and background. Simulation of Urban Mobility (SUMO) is a multi-modal traffic simulation tool that explicitly models vehicles that move through a given road network. The output of the SUMO model was incorporated into DIRSIG to generate scenes with moving vehicles. The same approach was used when using helicopters as targets, but with slight modifications. Using the combination of DIRSIG and SUMO, we quickly generated many small images, with the target at the center with different backgrounds. The simulations generated images with vehicles and helicopters as targets, and corresponding images without targets. Using parallel computing, 120,000 training images were generated in about an hour. Some preliminary results show an improvement in the deep learning algorithm when real image training data are augmented with

  10. Functional materials for energy-efficient buildings

    Science.gov (United States)

    Ebert, H.-P.

    2015-08-01

    The substantial improving of the energy efficiency is essential to meet the ambitious energy goals of the EU. About 40% of the European energy consumption belongs to the building sector. Therefore the reduction of the energy demand of the existing building stock is one of the key measures to deliver a substantial contribution to reduce CO2-emissions of our society. Buildings of the future have to be efficient in respect to energy consumption for construction and operation. Current research activities are focused on the development of functional materials with outstanding thermal and optical properties to provide, for example, slim thermally superinsulated facades, highly integrated heat storage systems or adaptive building components. In this context it is important to consider buildings as entities which fulfill energy and comfort claims as well as aesthetic aspects of a sustainable architecture.

  11. Models for efficient integration of solar energy

    DEFF Research Database (Denmark)

    Bacher, Peder

    the available flexibility in the system. In the present thesis methods related to operation of solar energy systems and for optimal energy use in buildings are presented. Two approaches for forecasting of solar power based on numerical weather predictions (NWPs) are presented, they are applied to forecast......Efficient operation of energy systems with substantial amount of renewable energy production is becoming increasingly important. Renewables are dependent on the weather conditions and are therefore by nature volatile and uncontrollable, opposed to traditional energy production based on combustion....... The "smart grid" is a broad term for the technology for addressing the challenge of operating the grid with a large share of renewables. The "smart" part is formed by technologies, which models the properties of the systems and efficiently adapt the load to the volatile energy production, by using...

  12. Functional materials for energy-efficient buildings

    Directory of Open Access Journals (Sweden)

    Ebert H.-P

    2015-01-01

    Full Text Available The substantial improving of the energy efficiency is essential to meet the ambitious energy goals of the EU. About 40% of the European energy consumption belongs to the building sector. Therefore the reduction of the energy demand of the existing building stock is one of the key measures to deliver a substantial contribution to reduce CO2-emissions of our society. Buildings of the future have to be efficient in respect to energy consumption for construction and operation. Current research activities are focused on the development of functional materials with outstanding thermal and optical properties to provide, for example, slim thermally superinsulated facades, highly integrated heat storage systems or adaptive building components. In this context it is important to consider buildings as entities which fulfill energy and comfort claims as well as aesthetic aspects of a sustainable architecture.

  13. Energy efficient policy impact in India: case study of investment in industrial energy efficiency

    International Nuclear Information System (INIS)

    Yang, M.

    2006-01-01

    The objective of this paper is to identify the effectiveness of energy policy and capital investment in energy efficiency technologies in the industrial sector in India. Indian energy policies relating to industrial energy efficiency over the past 25 years are briefly reviewed, and a comparison study of these energy efficiency policies and strategies in India and China has been carried out. Interviews were conducted with a number of government policy-making institutions and a national industrial development bank. The accounts of 26 industrial enterprises which applied and used a loan of the Asian Development Bank were audited for data collection. Field-visits to seven industrial entrepreneurs were undertaken in a case study. Methodologies used in this study include documentation, cross-country reviews on energy policies, questionnaire design and distribution in the industrial sector, and on-site auditing of energy efficiency technologies. This paper concludes that current energy policies and strategies in India need further improvement to promote energy efficiency investment and energy efficiency technology development in the industrial sector. This paper will interest those policy makers and industrial entrepreneurs who are willing to finance energy efficiency projects and improve energy efficiency in the industrial sector. (author)

  14. Energy efficiency policy impact in India: case study of investment in industrial energy efficiency

    International Nuclear Information System (INIS)

    Yang Ming

    2006-01-01

    The objective of this paper is to identify the effectiveness of energy policy and capital investment in energy efficiency technologies in the industrial sector in India. Indian energy policies relating to industrial energy efficiency over the past 25 years are briefly reviewed, and a comparison study of these energy efficiency policies and strategies in India and China has been carried out. Interviews were conducted with a number of government policy-making institutions and a national industrial development bank. The accounts of 26 industrial enterprises which applied and used a loan of the Asian Development Bank were audited for data collection. Field-visits to seven industrial entrepreneurs were undertaken in a case study. Methodologies used in this study include documentation, cross-country reviews on energy policies, questionnaire design and distribution in the industrial sector, and on-site auditing of energy efficiency technologies. This paper concludes that current energy policies and strategies in India need further improvement to promote energy efficiency investment and energy efficiency technology development in the industrial sector. This paper will interest those policy makers and industrial entrepreneurs who are willing to finance energy efficiency projects and improve energy efficiency in the industrial sector

  15. Energy efficiency: The Italian situation and opportunities

    Energy Technology Data Exchange (ETDEWEB)

    Clerici, Alessandro; Beccarello, Massimo; Gallanti, Massimo

    2010-09-15

    The paper reports the results of a study led by Confindustria (Italian Federation of Industrial Associations) on the Italian situation with respect to energy efficiency policies and their effective implementations. The study is being continuously updated with the contributions of ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development) and ERSE (previously CESI Ricerca) and highlights the obtainable savings through efficient technologies now already available for applications in the final uses of energy for both the industrial, commercial and domestic sectors.

  16. Electrical energy efficiency technologies and applications

    CERN Document Server

    Sumper, Andreas

    2012-01-01

    The improvement of electrical energy efficiency is fast becoming one of the most essential areas of sustainability development, backed by political initiatives to control and reduce energy demand. Now a major topic in industry and the electrical engineering research community, engineers have started to focus on analysis, diagnosis and possible solutions. Owing to the complexity and cross-disciplinary nature of electrical energy efficiency issues, the optimal solution is often multi-faceted with a critical solutions evaluation component to ensure cost effectiveness. This single-source refer

  17. Cascade Error Projection: An Efficient Hardware Learning Algorithm

    Science.gov (United States)

    Duong, T. A.

    1995-01-01

    A new learning algorithm termed cascade error projection (CEP) is presented. CEP is an adaption of a constructive architecture from cascade correlation and the dynamical stepsize of A/D conversion from the cascade back propagation algorithm.

  18. An Efficient Local Algorithm for Distributed Multivariate Regression

    Data.gov (United States)

    National Aeronautics and Space Administration — This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed...

  19. How energy efficient is your car?

    Science.gov (United States)

    Roura, Pere; Oliu, Daniel

    2012-07-01

    A detailed energy balance indicating how fuel energy is transferred from the engine to the wheels of a commercial car is obtained using non-specialized experiments that can be readily understood using elementary mechanics. These experiments allow us to determine the engine's thermal efficiency, its mechanical losses, and the rolling (friction) and aerodynamic (drag) coefficients. We find that approximately 28% of the fuel energy is transferred to the wheels.

  20. France's action plan for energy efficiency

    International Nuclear Information System (INIS)

    2011-01-01

    This report first presents the French strategy for energy efficiency which is notably based on several commitments and an energy conservation policy. The second part describes the various policies and measures which have been implemented in France for different sectors: energy demand, housing and office building, transports, industry, exemplary State and local communities, agriculture, wastes, public information and sensitization. Several large appendices complete this report. They address assessment methods, policies and measures, and a European directive

  1. A simple and efficient algorithm to estimate daily global solar radiation from geostationary satellite data

    International Nuclear Information System (INIS)

    Lu, Ning; Qin, Jun; Yang, Kun; Sun, Jiulin

    2011-01-01

    Surface global solar radiation (GSR) is the primary renewable energy in nature. Geostationary satellite data are used to map GSR in many inversion algorithms in which ground GSR measurements merely serve to validate the satellite retrievals. In this study, a simple algorithm with artificial neural network (ANN) modeling is proposed to explore the non-linear physical relationship between ground daily GSR measurements and Multi-functional Transport Satellite (MTSAT) all-channel observations in an effort to fully exploit information contained in both data sets. Singular value decomposition is implemented to extract the principal signals from satellite data and a novel method is applied to enhance ANN performance at high altitude. A three-layer feed-forward ANN model is trained with one year of daily GSR measurements at ten ground sites. This trained ANN is then used to map continuous daily GSR for two years, and its performance is validated at all 83 ground sites in China. The evaluation result demonstrates that this algorithm can quickly and efficiently build the ANN model that estimates daily GSR from geostationary satellite data with good accuracy in both space and time. -- Highlights: → A simple and efficient algorithm to estimate GSR from geostationary satellite data. → ANN model fully exploits both the information from satellite and ground measurements. → Good performance of the ANN model is comparable to that of the classical models. → Surface elevation and infrared information enhance GSR inversion.

  2. Symbolic BDD and ADD Algorithms for Energy Games

    Directory of Open Access Journals (Sweden)

    Shahar Maoz

    2016-11-01

    Full Text Available Energy games, which model quantitative consumption of a limited resource, e.g., time or energy, play a central role in quantitative models for reactive systems. Reactive synthesis constructs a controller which satisfies a given specification, if one exists. For energy games a synthesized controller ensures to satisfy not only the safety constraints of the specification but also the quantitative constraints expressed in the energy game. A symbolic algorithm for energy games, recently presented by Chatterjee et al., is symbolic in its representation of quantitative values but concrete in the representation of game states and transitions. In this paper we present an algorithm that is symbolic both in the quantitative values and in the underlying game representation. We have implemented our algorithm using two different symbolic representations for reactive games, Binary Decision Diagrams (BDD and Algebraic Decision Diagrams (ADD. We investigate the commonalities and differences of the two implementations and compare their running times on specifications of energy games.

  3. Reduction of Climate Gases by Energy Efficiency

    International Nuclear Information System (INIS)

    Moe, N.

    1998-01-01

    Carbon dioxide cannot be depolluted in practice. However, there are two areas where measures can be taken to avoid CO 2 emissions: 1. Energy-efficiency. 2. Use of sustainable energy sources in energy production. It is characteristic that many measures which are good for the environment are also good from the point of view of cost efficiency, preparedness and employment. This is tru, for instance, of the greater use of biofuels instead of fossil fuels, collective heating systems as opposed to individual ones and economy measures - especially more efficient use of electricity. It is a question of thinking of the system as a whole. Methane is another factor which contributes to the greenhouse effect. Methane emissions can also be avoided, or reduced, by system-thinking. System-thinking is, for instance, not ro deposit combustible waste but to use it as an energy source. And why not produce electricity by using methane from existing landfill sites. Electrical energy is the most useful form of energy. Therefore, electricity should not, as a principal rule, be used for heating, or as process energy. The fact that energy-efficiency and emission of greenhouse gases are interrelated is shown in the following two examples. 1. Only about 25% of the energy content in extracted coal will reach the consumers as electricity when the production takes place in an ordinary, coal-fires condensing power station. 2. When district heating (room-heating and hot water) is produced in a modern heat-production plant by flue-gas condensation, about 90% of the energy is utilised for heating purposes. To obtain an overall picture of the amount of energy used for a purpose, e.g. heating or electricity, you must view the entire process from extraction to final use. Such a picture can show the energy efficiency and what losses arise. Efficiency measures can reduce the energy bill. They can also reduce pollution, greenhouse gases among other things. Examples will be given in this paper of energy

  4. Energy Efficiency and Importance of Renewable Energy Sources in Latvia

    Science.gov (United States)

    Skapare, I.; Kreslins, A.

    2007-10-01

    The main goal of Latvian energy policy is to ensure safe and environmentally friendly long-term energy supply at cost-effective prices, contributing to enhance competitiveness, and to ensure safe energy transit. The Latvian Parliament approved an Energy Efficiency Strategy in 2000. Its objective is to decrease energy consumption per unit of GDP by 25% by 2010. Awareness raising, implementation of standards and economic incentives for self financing are the main instruments to increase energy efficiency, mentioned in the strategy. Latvia, as many other European Union member states, is dependent on the import of primary energy resources. The Latvian Renewable Energy strategy is still under development. The only recent study on RES was developed in the framework of a PHARE program in year 2000: "Renewable energy resource program", where three main objectives for a future RES strategy were proposed: 1. To increase the use of wood waste and low value wood and forest residues. 2. To improve efficiency of combustion technologies and to replace outdated plants. 3. To increase the use of renewables in Combined Heat and Power plants (CHP). Through the Renewable Energy and Energy Efficiency Partnership, partners will develop a set of new shared activities, and coordinate and strengthen existing efforts in this area.

  5. Energy efficient thermal management of data centers

    CERN Document Server

    Kumar, Pramod

    2012-01-01

    Energy Efficient Thermal Management of Data Centers examines energy flow in today's data centers. Particular focus is given to the state-of-the-art thermal management and thermal design approaches now being implemented across the multiple length scales involved. The impact of future trends in information technology hardware, and emerging software paradigms such as cloud computing and virtualization, on thermal management are also addressed. The book explores computational and experimental characterization approaches for determining temperature and air flow patterns within data centers. Thermodynamic analyses using the second law to improve energy efficiency are introduced and used in proposing improvements in cooling methodologies. Reduced-order modeling and robust multi-objective design of next generation data centers are discussed. This book also: Provides in-depth treatment of energy efficiency ideas based on  fundamental heat transfer, fluid mechanics, thermodynamics, controls, and computer science Focus...

  6. Household transitions to energy efficient lighting

    International Nuclear Information System (INIS)

    Mills, Bradford; Schleich, Joachim

    2014-01-01

    New energy efficient lighting technologies can significantly reduce household electricity consumption, but adoption has been slow. A unique dataset of German households is used in this paper to examine the factors associated with the replacement of old incandescent lamps (ILs) with new energy efficient compact fluorescent lamps (CFLs) and light emitting diodes (LEDs). The ‘rebound’ effect of increased lamp luminosity in the transition to energy efficient bulbs is analyzed jointly with the replacement decision to account for household self-selection in bulb-type choice. Results indicate that the EU ban on ILs accelerated the pace of transition to CFLs and LEDs, while storage of bulbs significantly dampened the speed of the transition. Higher lighting needs and bulb attributes like energy efficiency, environmental friendliness, and durability spur IL replacement with CFLs or LEDs. Electricity gains from new energy efficient lighting are mitigated by 23% and 47% increases in luminosity for CFL and LED replacements, respectively. Model results suggest that taking the replacement bulb from storage and higher levels of education dampen the magnitude of these luminosity rebounds in IL to CFL transitions. - Highlights: • EU ban on ILs has fostered transitions to energy efficient lighting • Energy efficient, environmentally friendly, and durable lighting preferences make CFL and LED transitions more likely • Indicators of greater lighting needs are associated with higher propensities to replace ILs with CFLs and LEDs • For residential lighting, the rebound effect manifests itself through increases in luminosity • In IL to CLF transitions luminosity increases are lower with higher levels of education

  7. Emerging energy-efficient industrial technologies

    Energy Technology Data Exchange (ETDEWEB)

    Martin, N.; Worrell, E.; Ruth, M.; Price, L.; Elliott, R.N.; Shipley, A.M.; Thorne, J.

    2000-10-01

    U.S. industry consumes approximately 37 percent of the nation's energy to produce 24 percent of the nation's GDP. Increasingly, industry is confronted with the challenge of moving toward a cleaner, more sustainable path of production and consumption, while increasing global competitiveness. Technology will be essential for meeting these challenges. At some point, businesses are faced with investment in new capital stock. At this decision point, new and emerging technologies compete for capital investment alongside more established or mature technologies. Understanding the dynamics of the decision-making process is important to perceive what drives technology change and the overall effect on industrial energy use. The assessment of emerging energy-efficient industrial technologies can be useful for: (1) identifying R&D projects; (2) identifying potential technologies for market transformation activities; (3) providing common information on technologies to a broad audience of policy-makers; and (4) offering new insights into technology development and energy efficiency potentials. With the support of PG&E Co., NYSERDA, DOE, EPA, NEEA, and the Iowa Energy Center, staff from LBNL and ACEEE produced this assessment of emerging energy-efficient industrial technologies. The goal was to collect information on a broad array of potentially significant emerging energy-efficient industrial technologies and carefully characterize a sub-group of approximately 50 key technologies. Our use of the term ''emerging'' denotes technologies that are both pre-commercial but near commercialization, and technologies that have already entered the market but have less than 5 percent of current market share. We also have chosen technologies that are energy-efficient (i.e., use less energy than existing technologies and practices to produce the same product), and may have additional ''non-energy benefits.'' These benefits are as important (if

  8. Energy efficiency opportunities in the brewery industry

    Energy Technology Data Exchange (ETDEWEB)

    Worrell, Ernst; Galitsky, Christina; Martin, Nathan

    2002-06-28

    Breweries in the United States spend annually over $200 Million on energy. Energy consumption is equal to 3-8% of the production costs of beer, making energy efficiency improvement an important way to reduce costs, especially in times of high energy price volatility. After a summary of the beer making process and energy use, we examine energy efficiency opportunities available for breweries. We provide specific primary energy savings for each energy efficiency measure based on case studies that have implemented the measures, as well as references to technical literature. If available, we have also listed typical payback periods. Our findings suggest that there may still be opportunities to reduce energy consumption cost-effectively for breweries. Major brewing companies have and will continue to spend capital on cost effective measures that do not impact the quality of the beer. Further research on the economics of the measures, as well as their applicability to different brewing practices, is needed to assess implementation of selected technologies at individual breweries.

  9. Energy efficient motion control of the electric bus on route

    Science.gov (United States)

    Kotiev, G. O.; Butarovich, D. O.; Kositsyn, B. B.

    2018-02-01

    At present, the urgent problem is the reduction of energy costs of urban motor transport. The article proposes a method of solving this problem by developing an energy-efficient law governing the movement of an electric bus along a city route. To solve this problem, an algorithm is developed based on the dynamic programming method. The proposed method allows you to take into account the constraints imposed on the phase coordinates, control action, as well as on the time of the route. In the course of solving the problem, the model of rectilinear motion of an electric bus on a horizontal reference surface is considered, taking into account the assumptions that allow it to be adapted for the implementation of the method. For the formation of a control action in the equations of motion dynamics, an algorithm for changing the traction / braking torque on the wheels of an electric bus is considered, depending on the magnitude of the control parameter and the speed of motion. An optimal phase trajectory was obtained on a selected section of the road for the prototype of an electric bus. The article presents the comparison of simulation results obtained with the optimal energy efficient control law with the results obtained by a test driver. The comparison proved feasibility of the energy efficient control law for the automobile city electric transport.

  10. Particle filters for object tracking: enhanced algorithm and efficient implementations

    International Nuclear Information System (INIS)

    Abd El-Halym, H.A.

    2010-01-01

    Object tracking and recognition is a hot research topic. In spite of the extensive research efforts expended, the development of a robust and efficient object tracking algorithm remains unsolved due to the inherent difficulty of the tracking problem. Particle filters (PFs) were recently introduced as a powerful, post-Kalman filter, estimation tool that provides a general framework for estimation of nonlinear/ non-Gaussian dynamic systems. Particle filters were advanced for building robust object trackers capable of operation under severe conditions (small image size, noisy background, occlusions, fast object maneuvers ..etc.). The heavy computational load of the particle filter remains a major obstacle towards its wide use.In this thesis, an Excitation Particle Filter (EPF) is introduced for object tracking. A new likelihood model is proposed. It depends on multiple functions: position likelihood; gray level intensity likelihood and similarity likelihood. Also, we modified the PF as a robust estimator to overcome the well-known sample impoverishment problem of the PF. This modification is based on re-exciting the particles if their weights fall below a memorized weight value. The proposed enhanced PF is implemented in software and evaluated. Its results are compared with a single likelihood function PF tracker, Particle Swarm Optimization (PSO) tracker, a correlation tracker, as well as, an edge tracker. The experimental results demonstrated the superior performance of the proposed tracker in terms of accuracy, robustness, and occlusion compared with other methods Efficient novel hardware architectures of the Sample Important Re sample Filter (SIRF) and the EPF are implemented. Three novel hardware architectures of the SIRF for object tracking are introduced. The first architecture is a two-step sequential PF machine, where particle generation, weight calculation and normalization are carried out in parallel during the first step followed by a sequential re

  11. Scheduling algorithms for saving energy and balancing load

    Energy Technology Data Exchange (ETDEWEB)

    Antoniadis, Antonios

    2012-08-03

    In this thesis we study problems of scheduling tasks in computing environments. We consider both the modern objective function of minimizing energy consumption, and the classical objective of balancing load across machines. We first investigate offline deadline-based scheduling in the setting of a single variable-speed processor that is equipped with a sleep state. The objective is that of minimizing the total energy consumption. Apart from settling the complexity of the problem by showing its NP-hardness, we provide a lower bound of 2 for general convex power functions, and a particular natural class of schedules called s{sub crit}-schedules. We also present an algorithmic framework for designing good approximation algorithms. For general convex power functions our framework improves the best known approximation-factor from 2 to 4/3. This factor can be reduced even further to 137/117 for a specific well-motivated class of power functions. Furthermore, we give tight bounds to show that our framework returns optimal s{sub crit}-schedules for the two aforementioned power-function classes. We then focus on the multiprocessor setting where each processor has the ability to vary its speed. Job migration is allowed, and we again consider classical deadline-based scheduling with the objective of energy minimization. We first study the offline problem and show that optimal schedules can be computed efficiently in polynomial time for any convex and non-decreasing power function. Our algorithm relies on repeated maximum flow computations. Regarding the online problem and power functions P(s) = s{sup {alpha}}, where s is the processor speed and {alpha} > 1 a constant, we extend the two well-known single-processor algorithms Optimal Available and Average Rate. We prove that Optimal Available is {alpha}{sup {alpha}}-competitive as in the single-processor case. For Average Rate we show a competitive factor of (2{alpha}){sup {alpha}}/2 + 1, i.e., compared to the single

  12. Improving energy efficiency in industrial energy systems an interdisciplinary perspective on barriers, energy audits, energy management, policies, and programs

    CERN Document Server

    Thollander, Patrik

    2012-01-01

    Industrial energy efficiency is one of the most important means of reducing the threat of increased global warming. Research however states that despite the existence of numerous technical energy efficiency measures, its deployment is hindered by the existence of various barriers to energy efficiency. The complexity of increasing energy efficiency in manufacturing industry calls for an interdisciplinary approach to the issue. Improving energy efficiency in industrial energy systems applies an interdisciplinary perspective in examining energy efficiency in industrial energy systems, and discuss

  13. Efficient algorithms for probing the RNA mutation landscape.

    Directory of Open Access Journals (Sweden)

    Jérôme Waldispühl

    Full Text Available The diversity and importance of the role played by RNAs in the regulation and development of the cell are now well-known and well-documented. This broad range of functions is achieved through specific structures that have been (presumably optimized through evolution. State-of-the-art methods, such as McCaskill's algorithm, use a statistical mechanics framework based on the computation of the partition function over the canonical ensemble of all possible secondary structures on a given sequence. Although secondary structure predictions from thermodynamics-based algorithms are not as accurate as methods employing comparative genomics, the former methods are the only available tools to investigate novel RNAs, such as the many RNAs of unknown function recently reported by the ENCODE consortium. In this paper, we generalize the McCaskill partition function algorithm to sum over the grand canonical ensemble of all secondary structures of all mutants of the given sequence. Specifically, our new program, RNAmutants, simultaneously computes for each integer k the minimum free energy structure MFE(k and the partition function Z(k over all secondary structures of all k-point mutants, even allowing the user to specify certain positions required not to mutate and certain positions required to base-pair or remain unpaired. This technically important extension allows us to study the resilience of an RNA molecule to pointwise mutations. By computing the mutation profile of a sequence, a novel graphical representation of the mutational tendency of nucleotide positions, we analyze the deleterious nature of mutating specific nucleotide positions or groups of positions. We have successfully applied RNAmutants to investigate deleterious mutations (mutations that radically modify the secondary structure in the Hepatitis C virus cis-acting replication element and to evaluate the evolutionary pressure applied on different regions of the HIV trans-activation response

  14. Research and Energy Efficiency: Selected Success Stories

    Science.gov (United States)

    Garland, P. W.; Garland, R. W.

    1997-06-26

    Energy use and energy technology play critical roles in the U.S. economy and modern society. The Department of Energy (DOE) conducts civilian energy research and development (R&D) programs for the purpose of identifying promising technologies that promote energy security, energy efficiency, and renewable energy use. DOE-sponsored research ranges from basic investigation of phenomena all the way through development of applied technology in partnership with industry. DOE`s research programs are conducted in support of national strategic energy objectives, however austere financial times have dictated that R&D programs be measured in terms of cost vs. benefit. In some cases it is difficult to measure the return on investment for the basic "curiosity-driven" research, however many applied technology development programs have resulted in measurable commercial successes. The DOE has published summaries of their most successful applied technology energy R&D programs. In this paper, we will discuss five examples from the Building Technologies area of the DOE Energy Efficiency program. Each story will describe the technology, discuss the level of federal funding, and discuss the returns in terms of energy savings, cost savings, or national economic impacts.

  15. Energy Efficiency Roadmap for Uganda, Making Energy Efficiency Count. Executive Summary

    Energy Technology Data Exchange (ETDEWEB)

    de la Rue du Can, Stephane; Pudleiner, David; Jones, David; Khan, Aleisha

    2017-06-15

    Like many countries in Sub-Saharan Africa, Uganda has focused its energy sector investments largely on increasing energy access by increasing energy supply. The links between energy efficiency and energy access, the importance of energy efficiency in new energy supply, and the multiple benefits of energy efficiency for the level and quality of energy available, have been largely overlooked. Implementing energy efficiency in parallel with expanding both the electricity grid and new clean energy generation reduces electricity demand and helps optimize the power supply so that it can serve more customers reliably at minimum cost. Ensuring efficient appliances are incorporated into energy access efforts provides improved energy services to customers. Energy efficiency is an important contributor to access to modern energy. This Energy Efficiency Roadmap for Uganda (Roadmap) is a response to the important role that electrical energy efficiency can play in meeting Uganda’s energy goals. Power Africa and the United Nations Sustainable Energy for All (SEforALL) initiatives collaborated with more than 24 stakeholders in Uganda to develop this document. The document estimates that if the most efficient technologies on the market were adopted, 2,224 gigawatt hours could be saved in 2030 across all sectors, representing 31% of the projected load. This translates into 341 megawatts of peak demand reductions, energy access to an additional 6 million rural customers and reduction of carbon dioxide emissions by 10.6 million tonnes in 2030. The Roadmap also finds that 91% of this technical potential is cost-effective, and 47% is achievable under conservative assumptions. The Roadmap prioritizes recommendations for implementing energy efficiency and maximizing benefits to meet the goals and priorities established in Uganda’s 2015 SEforALL Action Agenda. One important step is to create and increase demand for efficiency through long-term enabling policies and financial incentives

  16. TV Energy Consumption Trends and Energy-Efficiency Improvement Options

    Energy Technology Data Exchange (ETDEWEB)

    Park, Won Young; Phadke, Amol; Shah, Nihar; Letschert, Virginie

    2011-07-01

    The SEAD initiative aims to transform the global market by increasing the penetration of highly efficient equipment and appliances. SEAD is a government initiative whose activities and projects engage the private sector to realize the large global energy savings potential from improved appliance and equipment efficiency. SEAD seeks to enable high-level global action by informing the Clean Energy Ministerial dialogue as one of the initiatives in the Global Energy Efficiency Challenge. In keeping with its goal of achieving global energy savings through efficiency, SEAD was approved as a task within the International Partnership for Energy Efficiency Cooperation (IPEEC) in January 2010. SEAD partners work together in voluntary activities to: (1) ?raise the efficiency ceiling? by pulling super-efficient appliances and equipment into the market through cooperation on measures like incentives, procurement, awards, and research and development (R&D) investments; (2) ?raise the efficiency floor? by working together to bolster national or regional policies like minimum efficiency standards; and (3) ?strengthen the efficiency foundations? of programs by coordinating technical work to support these activities. Although not all SEAD partners may decide to participate in every SEAD activity, SEAD partners have agreed to engage actively in their particular areas of interest through commitment of financing, staff, consultant experts, and other resources. In addition, all SEAD partners are committed to share information, e.g., on implementation schedules for and the technical detail of minimum efficiency standards and other efficiency programs. Information collected and created through SEAD activities will be shared among all SEAD partners and, to the extent appropriate, with the global public.As of April 2011, the governments participating in SEAD are: Australia, Brazil, Canada, the European Commission, France, Germany, India, Japan, Korea, Mexico, Russia, South Africa, Sweden

  17. Energy efficiency in Norway (1997). Cross Country Comparison on Energy Efficiency Indicators - Phase 5

    Energy Technology Data Exchange (ETDEWEB)

    Alm, Leif Kristian

    2000-02-01

    This is the national report for Norway in phase 5 of the SAVE project 'Cross country comparison of energy efficiency indicators'. The report deals with energy use and energy efficiency in Norway the last 20 years, with a special emphasis on the period after 1990. A detailed sector analysis has been done, applying Laspeyres indices to attribute changes in energy use to either activity, structure or intensity (efficiency). Aggregating sectors, we have found a total efficiency improvement of maximum 7-8 TWH from 1990 to 1997. This corresponds to a saving of 0.5% per year. In the same period, final energy use per Gross Domestic Product (GDP) was reduced by approx 2.4% per year. Thereby most of the reduction in final energy intensity can not be attributed to increased energy efficiency. Almost all data are taken from official Norwegian statistics (Statistics Norway). (author)

  18. Energy security for India: Biofuels, energy efficiency and food productivity

    International Nuclear Information System (INIS)

    Gunatilake, Herath; Roland-Holst, David; Sugiyarto, Guntur

    2014-01-01

    The emergence of biofuel as a renewable energy source offers opportunities for significant climate change mitigation and greater energy independence to many countries. At the same time, biofuel represents the possibility of substitution between energy and food. For developing countries like India, which imports over 75% of its crude oil, fossil fuels pose two risks—global warming pollution and long-term risk that oil prices will undermine real living standards. This paper examines India's options for managing energy price risk in three ways: biofuel development, energy efficiency promotion, and food productivity improvements. Our salient results suggest that biodiesel shows promise as a transport fuel substitute that can be produced in ways that fully utilize marginal agricultural resources and hence promote rural livelihoods. First-generation bioethanol, by contrast, appears to have a limited ability to offset the impacts of oil price hikes. Combining the biodiesel expansion policy with energy efficiency improvements and food productivity increases proved to be a more effective strategy to enhance both energy and food security, help mitigate climate change, and cushion the economy against oil price shocks. - Highlights: • We investigate the role of biofuels in India applying a CGE model. • Biodiesel enhances energy security and improve rural livelihoods. • Sugarcane ethanol does not show positive impact on the economy. • Biodiesel and energy efficiency improvements together provide better results. • Food productivity further enhances biodiesel, and energy efficiency impacts

  19. Green-Frag: Energy-Efficient Frame Fragmentation Scheme for Wireless Sensor Networks

    KAUST Repository

    Daghistani, Anas H.

    2013-01-01

    that is optimized to be energy efficient, which is originated from the chosen frame fragmentation scheme. This new energy-efficient frame fragmentation protocol is called (Green-Frag). Green-Frag uses an algorithm that gives sensor nodes the ability to transmit data

  20. Energy efficient cross layer design for spectrum sharing systems

    KAUST Repository

    Alabbasi, Abdulrahman

    2016-10-06

    We propose a cross layer design that optimizes the energy efficiency of spectrum sharing systems. The energy per good bit (EPG) is considered as an energy efficiency metric. We optimize the secondary user\\'s transmission power and media access frame length to minimize the EPG metric. We protect the primary user transmission via an outage probability constraint. The non-convex targeted problem is optimized by utilizing the generalized convexity theory and verifying the strictly pseudo-convex structure of the problem. Analytical results of the optimal power and frame length are derived. We also used these results in proposing an algorithm, which guarantees the existence of a global optimal solution. Selected numerical results show the improvement of the proposed system compared to other systems. © 2016 IEEE.

  1. Efficiency of Compressed Air Energy Storage

    DEFF Research Database (Denmark)

    Elmegaard, Brian; Brix, Wiebke

    2011-01-01

    The simplest type of a Compressed Air Energy Storage (CAES) facility would be an adiabatic process consisting only of a compressor, a storage and a turbine, compressing air into a container when storing and expanding when producing. This type of CAES would be adiabatic and would if the machines...... were reversible have a storage efficiency of 100%. However, due to the specific capacity of the storage and the construction materials the air is cooled during and after compression in practice, making the CAES process diabatic. The cooling involves exergy losses and thus lowers the efficiency...... of the storage significantly. The efficiency of CAES as an electricity storage may be defined in several ways, we discuss these and find that the exergetic efficiency of compression, storage and production together determine the efficiency of CAES. In the paper we find that the efficiency of the practical CAES...

  2. Energy efficiency in buildings, industry and transportation

    Science.gov (United States)

    Milovanovic, Dobrica; Babic, Milun; Jovicic, Nebojsa; Gordic, Dusan

    2012-11-01

    This paper reviews the literature concerning the energy saving and outlines the importance of energy efficiency, particularly in three the most important areas: buildings, industry and transportation. Improving energy efficiency plays a crucial role in minimizing the societal and environmental impacts of economic growth and offers a powerful tool for achieving sustainable development by reducing the need for investment in new infrastructure, by cutting fuel costs, and by increasing competitiveness for businesses and welfare for consumers. It creates environmental benefits through reduced emissions of greenhouse gases and local air pollutants. It can offer social benefits in the form of increased energy security (through reduced dependence on fossil fuels, particularly when imported) and better energy services.

  3. Energy Efficient Cooking - The EffiCooker

    DEFF Research Database (Denmark)

    Schjær-Jacobsen, Jørgen

    2011-01-01

    Substantial energy savings in moist heat cooking may be achieved by employing a pan with integrated electric heating element rather than an ordinary pan on a conventional electric range. The electric pan should be thermally insulated and equipped with an "intelligent" controller and timer....... A working prototype of a saucepan, dubbed the EffiCooker, has been constructed according to these guidelines. The EffiCooker has demonstrated energy savings in the range from 28% to 81% compared to conventional equipment when performing ordinary cooking tasks. The user need not be particularly aware...... of energy conservation to realize such savings; even those who are more concerned with their culinary achievements than with energy efficiency are likely to benefit. Besides being energy efficient the EffiCooker is user friendly. Many cooking tasks, once initiated, are performed automatically without any...

  4. Implementation of a virtual laryngoscope system using efficient reconstruction algorithms.

    Science.gov (United States)

    Luo, Shouhua; Yan, Yuling

    2009-08-01

    Conventional fiberoptic laryngoscope may cause discomfort to the patient and in some cases it can lead to side effects that include perforation, infection and hemorrhage. Virtual laryngoscopy (VL) can overcome this problem and further it may lower the risk of operation failures. Very few virtual endoscope (VE) based investigations of the larynx have been described in the literature. CT data sets from a healthy subject were used for the VL studies. An algorithm of preprocessing and region-growing for 3-D image segmentation is developed. An octree based approach is applied in our VL system which facilitates a rapid construction of iso-surfaces. Some locating techniques are used for fast rendering and navigation (fly-through). Our VL visualization system provides for real time and efficient 'fly-through' navigation. The virtual camera can be arranged so that it moves along the airway in either direction. Snap shots were taken during fly-throughs. The system can automatically adjust the direction of the virtual camera and prevent collisions of the camera and the wall of the airway. A virtual laryngoscope (VL) system using OpenGL (Open Graphics Library) platform for interactive rendering and 3D visualization of the laryngeal framework and upper airway is established. OpenGL is supported on major operating systems and works with every major windowing system. The VL system runs on regular PC workstations and was successfully tested and evaluated using CT data from a normal subject.

  5. Energy Efficiency and Renewable Energy in Low-Income Communities

    Science.gov (United States)

    State and local governments can provide benefits to low-income communities by investing in energy efficiency. Use the Program Finder table to identify those programs that reach the sectors and audiences of interest in your organization.

  6. Achieving Energy Efficient Ship Operations Under Third Party Management

    DEFF Research Database (Denmark)

    Taudal Poulsen, René; Sornn-Friese, Henrik

    2015-01-01

    Profitable energy saving measures are often not fully implemented in shipping, causing energy efficiency gaps. The paper identifies energy efficiency gaps in ship operations, and explores their causes. Lack of information on energy efficiency, lack of energy training at sea and onshore and lack...... of time to produce and provide reliable energy efficiency information cause energy efficiency gaps. The paper brings together the energy efficiency and ship management literatures, demonstrating how ship management models influence energy efficiency in ship operations. Achieving energy efficiency in ship...

  7. A framework to characterize energy efficiency measures

    International Nuclear Information System (INIS)

    Trianni, Andrea; Cagno, Enrico; De Donatis, Alessio

    2014-01-01

    Highlights: • A novel framework to characterize energy efficiency measures is proposed. • It allows a greater knowledge sharing, facilitating the adoption of the best measures. • It supports policy-makers in developing drivers for industrial energy efficiency. - Abstract: The need to increase the diffusion of energy efficiency measures (EEMs) is of crucial importance to achieve a consistent reduction of energy consumption and green house gases (GHG) emissions. A clear comprehension of the characteristics of such EEMs could assist in gathering and capitalizing all the information needed by industrial firms in selecting and adopting technologies, as well as by policy-makers in designing appropriate policies for their diffusion. Therefore, in this study, starting from a literature review of the studies analyzing the attributes of EEMs, we aim at providing an innovative and comprehensive framework to characterize such measures, based on 17 attributes grouped according to six categories, such as: economic, energy, environmental, production-related, implementation-related and the possible interaction with other systems. We applied this scheme to an extensive range of EEMs in cross-cutting technologies, i.e. motors, compressed air, lighting and HVAC systems. The analysis provides a relevant contribution firstly to the structuring and the sharing of knowledge on EEMs and hence to the comprehension of the barriers currently hindering their adoption; secondly, it provides a structured basis for the analysis of the drivers that policy-makers should develop in order to promote industrial energy efficiency

  8. Energy Efficiency Perspectives of PMR Networks

    Directory of Open Access Journals (Sweden)

    Marco Dolfi

    2016-12-01

    Full Text Available Recently, the concern about energy efficiency in wireless communications has been growing rapidly. Manufacturers and researchers have developed innovative solutions, highlighting the benefits in reducing operational expenditures (OPEX and carbon footprint. Professional Mobile Radio (PMR systems, like Terrestrial Trunked Radio (TETRA, have been designed to provide voice and data services to professional users. The energy consumption is one of the critical aspects of PMR broadband solutions and a major constraint for PMR services. The future convergence of PMR to the LTE system introduces a new topic in the research discussion about the energy efficiency of wireless systems. This paper focuses on the feasibility of energy efficient solutions for current and potentially future PMR networks, by providing a mathematical formulation of power consumption in TETRA base stations and assessing possible business models and energy saving solutions for enhanced mission-critical operations. The energy efficiency evaluation has been performed by taking into account the traffic load of a deployed TETRA regional network: in the considered network scenario with 150 base stations, significant OPEX savings up to 70 thousand Euros per year of operation are achieved. Moreover, the proposed solutions allow for saving more than 1 ton of CO 2 per year.

  9. Hydro-Quebec and energy efficiency

    International Nuclear Information System (INIS)

    1990-01-01

    There is growing awareness that energy efficiency is both profitable and environmentally beneficial. In this year's Development Plan, Hydro-Quebec is proposing an Energy Efficiency Project made up of marketing programs designed for all markets throughout the final decade of the 20th century. This Project will have two aspects: energy efficiency and consumption management. Hydro-Quebec aims to reach an energy-efficiency level of 12.9 terawatt hours per year by 1999, fully 55% of its 23-terawatt hour potential. Over the next 10 years the utility intends to spend $1.8 billion for this purpose. Cumulative anticipated energy savings should be in the vicinity of 70 terawatt hours for the coming decade, and more than 130 terawatt hours for the first decade of the next century. Of the overall goal of 12.9 terawatt hours for Horizon 1999, energy savings of 9.0 terawatt hours should be the direct result of this year's proposed marketing programs, and will account for the bulk of anticipated investments. The remaining 3.9 terawatt hours will be gained as customers acquire better electrical appliance and accessory (household appliances, home insulation) buying habits

  10. Management of projects for energy efficiency

    Directory of Open Access Journals (Sweden)

    Vuković Miodrag M.

    2014-01-01

    Full Text Available In an effort to lower operating costs and improve competitiveness, many organizations today are preparing projects in the field of energy saving. On the other hand, companies that provide energy services and implement these projects, need to build competences in this area to well manage the projects which are subject to energy savings and by this to justify the confidence of investors. This paper presents research that shows the most important factors for the development of local capacity in project management in the field of energy efficiency.

  11. Improved energy efficiency in the process industries

    Energy Technology Data Exchange (ETDEWEB)

    Pilavachi, P A [Commission of the European Communities, Brussels (Belgium)

    1992-12-31

    The European Commission, through the JOULE Programme, is promoting energy efficient technologies in the process industries; the topics of the various R and D activities are: heat exchangers (enhanced evaporation, shell and tube heat exchangers including distribution of fluids, and fouling), low energy separation processes (adsorption, melt-crystallization and supercritical extraction), chemical reactors (methanol synthesis and reactors with integral heat exchangers), other unit operations (evaporators, glass-melting furnaces, cement kilns and baking ovens, dryers and packed columns and replacements for R12 in refrigeration), energy and system process models (batch processes, simulation and control of transients and energy synthesis), development of advanced sensors.

  12. Energy efficiency in the world and Turkey and investigation of energy efficiency in Turkish Industry

    International Nuclear Information System (INIS)

    Kavak, K.

    2005-09-01

    The reserves of fossil fuels which currently respond to the major part of world energy requirements are being running out very fast. Because it is forecasted that reserves of some fossil fuels like oil and natural gas will come to an end in the second half of this century, exploiting all energy resources in an efficient manner has great importance. Throughout the world where the energy demand grows continuously but the resources decrease gradually, many types of programs are implemented to provide efficient energy use. In Turkey, although there have been some efforts in last two decades, the importance of the issue could not be undersood yet. Turkey'sgeneral energy policy still focuses on supply security and finding ways to meet the growing demand, rather than decreasing the demand by energy efficiency. In this study, the possible opportunities and benefits that Turkey would gain by energy efficiency is pointed out. The studies about energy efficiency which have been conducted in the world and Turkey are examined. The measurement that can be taken in the sectors such as industry, power plants, buildings, transportation and the utilities of these measures for energy economy are indicated. The successful practices of energy efficiency studies in various countries, the state of some countries which pioneer efficiency implementations. Turkey's situation in energy in the light of basic indicators such as energy consumption per capita and enrgy intensity, the energy efficiency studies that have been done and should be done in various sectors of Turkey are also discussed in this thesis. Turkish industry's energy comsumption is analyzed as a seperate chapter by taking into consideration energy efficiency, energy intensity and energy resources. The general energy consumption and energy intensity tendencies of main manufacturing industries between 1995 and 2002 are explored and resource utilization ratios are investigated. This chapter provides to find out what kind of

  13. Reliability and energy efficiency of zero energy homes (Conference Presentation)

    Science.gov (United States)

    Dhere, Neelkanth G.

    2016-09-01

    Photovoltaic (PV) modules and systems are being installed increasingly on residential homes to increase the proportion of renewable energy in the energy mix. The ultimate goal is to attain sustainability without subsidy. The prices of PV modules and systems have declined substantially during the recent years. They will be reduced further to reach grid parity. Additionally the total consumed energy must be reduced by making the homes more energy efficient. FSEC/UCF Researchers have carried out research on development of PV cells and systems and on reducing the energy consumption in homes and by small businesses. Additionally, they have provided guidance on PV module and system installation and to make the homes energy efficient. The produced energy is fed into the utility grid and the consumed energy is obtained from the utility grid, thus the grid is assisting in the storage. Currently the State of Florida permits net metering leading to equal charge for the produced and consumed electricity. This paper describes the installation of 5.29 KW crystalline silicon PV system on a south-facing tilt at approximately latitude tilt on a single-story, three-bedroom house. It also describes the computer program on Building Energy Efficiency and the processes that were employed for reducing the energy consumption of the house by improving the insulation, air circulation and windows, etc. Finally it describes actual consumption and production of electricity and the installation of additional crystalline silicon PV modules and balance of system to make it a zero energy home.

  14. How to subsidize energy efficiency under duopoly efficiently?

    International Nuclear Information System (INIS)

    Nie, Pu-yan; Yang, Yong-cong; Chen, You-hua; Wang, Zhao-hui

    2016-01-01

    Highlights: • This article captures the effects of output subsidy. • Firms without subsidy are not willing to improve energy efficiency. • Subsidy stimulates the subsidized firms’ outputs and deters the others’ outputs. • The subsidy intensity depends on firms’ position. • Overdue subsidy cannot reach the environmental object. - Abstract: Establishing a game theory model, this paper captures the effects of output subsidy on energy efficiency under Cournot competition and Stackelberg competition. Three types of subsidies are considered in the model, namely without subsidy, unilateral subsidy and bilateral subsidy. The findings indicate that firms without subsidy are not willing to improve energy efficiency. Also, subsidy stimulates the subsidized firms’ outputs while deters the outputs of other firms. Meanwhile, the equilibrium subsidy intensity depends on firms’ position. Furthermore, the minimal subsidy budgets under different situations are presented. Especially, given the fixed subsidy budget, the output of the subsidized firm is the highest if this firm plays the leading position. In addition, certain subsidy can reduce the total emission, while overdue subsidy cannot reach the environmental object.

  15. 'Normal' markets, market imperfections and energy efficiency

    International Nuclear Information System (INIS)

    Sanstad, A.H.; Howarth, R.B.

    1994-01-01

    The conventional distinction between 'economic' and 'engineering' approaches to energy analysis obscures key methodological issues concerning the measurement of the costs and benefits of policies to promote the adoption of energy-efficient technologies. The engineering approach is in fact based upon firm economic foundations: the principle of lifecycle cost minimization that arises directly from the theory of rational investment. Thus, evidence that so-called 'market barriers' impede the adoption of cost-effective energy-efficient technologies implies the existence of market failures as defined in the context of microeconomic theory. A widely held view that the engineering view lacks economic justification, is based on the fallacy that markets are 'normally' efficient. (author)

  16. Comparing Whole Building Energy Implications of Sidelighting Systems with Alternate Manual Blind Control Algorithms

    Directory of Open Access Journals (Sweden)

    Christopher Dyke

    2015-05-01

    Full Text Available Currently, there is no manual blind control guideline used consistently throughout the energy modeling community. This paper identifies and compares five manual blind control algorithms with unique control patterns and reports blind occlusion, rate of change data, and annual building energy consumption. The blind control schemes detailed here represent five reasonable candidates for use in lighting and energy simulation based on difference driving factors. This study was performed on a medium-sized office building using EnergyPlus with the internal daylight harvesting engine. Results show that applying manual blind control algorithms affects the total annual consumption of the building by as much as 12.5% and 11.5% for interior and exterior blinds respectively, compared to the Always Retracted blinds algorithm. Peak demand was also compared showing blind algorithms affected zone load sizing by as much as 9.8%. The alternate algorithms were tested for their impact on American Society of Heating, Refrigeration and Air-Conditioning Engineers (ASHRAE Guideline 14 calibration metrics and all models were found to differ from the original calibrated baseline by more than the recommended ±15% for coefficient of variance of the mean square error (CVRMSE and ±5% for normalized mean bias error (NMBE. The paper recommends that energy modelers use one or more manual blind control algorithms during design stages when making decisions about energy efficiency and other design alternatives.

  17. Adopting Energy Efficiency in Connected Homes

    Energy Technology Data Exchange (ETDEWEB)

    Christensen, Dane T [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Kemper, Emily [CLEAResult

    2017-10-02

    This presentation on connected homes was presented at the 11th Rocky Mountain Utility Efficiency Exchange on September 28, 2017. The discussion covered the integration of energy efficiency measures and practices with Internet of Things (IoT) awareness and adoption of smart technologies and services via WiFi/ Bluetooth enabled home and office equipment. The presentation also describes the benefits to the home and business and benefits/challenges for the utility/implementer.

  18. ENERGY EFFICIENT TRACKING SYSTEM USING WIRELESS SENSORS

    OpenAIRE

    Thankaselvi Kumaresan; Sheryl Mathias; Digja Khanvilkar; Prof. Smita Dange

    2014-01-01

    One of the most important applications of wireless sensor networks (WSNs) is surveillance system, which is used to track moving targets. WSN is composed of a large number of low cost sensors which operate on the power derived from batteries. Energy efficiency is an important issue in WSN, which determines the network lifetime. Due to the need for continuous monitoring with 100% efficiency, keeping all the sensor nodes active permanently leads to fast draining of batteries. Hen...

  19. Energy efficiency policies and measures in Norway

    Energy Technology Data Exchange (ETDEWEB)

    Rosenberg, Eva

    2012-07-01

    This report represents the national case study of Norway for the IEE-project {sup M}onitoring of EU and national energy efficiency targets (ODYSSEE-MURE 2010)'. The Norwegian part of the project is co-funded by Enova. The report presents the recent energy efficiency trends in Norway on the basis of indicators extracted from the ODYSSEE database. The database contains information on energy use in a detailed level of the industry, transport, household and service sectors and other energy use. lt also contains information on energy drivers like heated square meters in the households and services sectors, transported passenger-km and ton-km of gods, value added, production index, production volumes etc. Final energy consumption has increased from 195 TWh in 1990 lo 229 TWh in 2010 The last ten years the energy consumption has varied between 212I Wh (2009) and 229 TWh (2010) with an annual average of 221TfUh. The sector using most energy is the industry, but the share has decreased from 40 % in 1990 to 31 % in 2010. From 1990 to 2010 the growth rate has been highest in the transport sector. Half of the energy end-use was electricity in 20,10, 42 % was fossil fuels and 6 % was biomass. The electricity use has an annual increase of 0.8 % since 1990, but the last decade the annual increase is reduced to 0.14 %. The consumption of oil products has decreased in stationary end-use (heating) and increased in the transport sector. In ODYSSEE, an aggregate bottom-up energy efficiency index, ODEX, is calculated. This energy efficiency index aggregates the trends in the detailed bottom-up indicators in one single indicator. This ODEX has improved by 26 o/o from 1990 to 2010 or by 1.3 o/o per year. This means that energy efficiency policies and measures implemented since 1990 have contributed to a decrease in the energy use of 2010 of approximately 59 TWh. (Author)

  20. Learning energy literacy concepts from energy-efficient homes

    Science.gov (United States)

    Paige, Frederick Eugene

    The purpose of this study is to understand ways that occupants' and visitors' interaction with energy efficient home design affects Energy Literacy. Using a case study approach including interviews, surveys, and observations, I examined the potential for affordable energy efficient homes in the Greenville South Carolina area to "teach" concepts from an Energy Literacy framework developed by dozens of educational partners and federal agencies that comprise the U.S. Global Change Research Program Partners. I paid particular attention to concepts from the framework that are transferable to energy decisions beyond a home's walls. My research reveals ways that interaction with high efficiency homes can effect understanding of the following Energy Literacy concepts: human use of energy is subject to limits and constraints, conservation is one way to manage energy resources, electricity is generated in multiple ways, social and technological innovations effect the amount of energy used by society, and energy use can be calculated and monitored. Examples from my case studies show how the at-home examples can make lessons on energy more personally relevant, easy to understand, and applicable. Specifically, I found that: • Home occupants learn the limits of energy in relation to the concrete and constricting costs associated with their consumption. • Heating and cooling techniques showcase the limits and constraints on different sources of energy. • Relatable systems make it easier to understand energy's limits and constraints. • Indistinct and distant power utilities allow consumers to overlook the root of electricity sources. • Visible examples of electricity generation systems make it clear that electricity is generated in multiple ways. • Small and interactive may mean inefficient electricity generation, but efficient energy education. • Perceptions of expense and complexity create a disconnect between residential energy consumers and renewable electricity

  1. An Efficient Hierarchy Algorithm for Community Detection in Complex Networks

    Directory of Open Access Journals (Sweden)

    Lili Zhang

    2014-01-01

    Full Text Available Community structure is one of the most fundamental and important topology characteristics of complex networks. The research on community structure has wide applications and is very important for analyzing the topology structure, understanding the functions, finding the hidden properties, and forecasting the time-varying of the networks. This paper analyzes some related algorithms and proposes a new algorithm—CN agglomerative algorithm based on graph theory and the local connectedness of network to find communities in network. We show this algorithm is distributed and polynomial; meanwhile the simulations show it is accurate and fine-grained. Furthermore, we modify this algorithm to get one modified CN algorithm and apply it to dynamic complex networks, and the simulations also verify that the modified CN algorithm has high accuracy too.

  2. The economic impacts of energy efficiency

    International Nuclear Information System (INIS)

    Jean, R.

    1990-01-01

    Hydro Quebec's energy efficiency initiatives are reviewed and the economic benefits it expects to garner from such programs are described. Energy efficiency programs affect the cost of supplying electricity, and rates usually rise during the early years and are subsequently offset by the benefits the program generates. Energy efficiency programs should allow Hydro Quebec to avoid $6 billion in expenditures for electricity supply, while entailing contributions of $1.4 billion for the efficiency measures. Evaluation of the potential for efficiency has allowed Hydro Quebec to set a target of 12.9 TWh/y in 1999 on a potential estimated at 18% of regular sales in Quebec in 1989, namely 23.3 TWh. Customers, who contribute $1.4 billion of their own funds to efficiency programs will realize savings of $3.2 billion. Hydro Quebec programs insist strongly on replacement of appliances and motors of all sorts, and in the residential sector, purchases of slightly less than $0.5 billion will consist of electric lamps (3%), water heaters (2.4%), insulation products (32%), hardware (2.5%), and various electric appliances (33%). In the commercial sector, expenditures will be higher, reaching ca $650 million. These are allocated to purchases of electric lamps (18%), heating equipment (12%), insulation products (24%), street lighting (4%), and various electric devices such as controls (39%). 2 figs., 4 tabs

  3. Downtown Detroit Energy Efficient Street Lighting

    Energy Technology Data Exchange (ETDEWEB)

    Goodwin, Malik [Detroit Economic Growth Corp, Detroit, MI (United States)

    2013-11-29

    Reliable public lighting remains a critically important and valuable public service in Detroit, Michigan. The Downtown Detroit Energy Efficiency Lighting Program (the, “Program”) was designed and implemented to bring the latest advancements in lighting technology, energy efficiency, public safety and reliability to Detroit’s Central Business District, and the Program accomplished those goals successfully. Downtown’s nighttime atmosphere has been upgraded as a result of the installation of over 1000 new LED roadway lighting fixtures that were installed as part of the Program. The reliability of the lighting system has also improved.

  4. Energy efficiency potential study for New Brunswick

    International Nuclear Information System (INIS)

    1992-05-01

    The economic and environmental impacts associated with economically attractive energy savings identified in each of four sectors in New Brunswick are analyzed. The results are derived through a comparison of two potential future scenarios. The frozen efficiency scenario projects what future energy expenditures would be if no new energy efficiency initiatives are introduced. The economic potential scenario projects what those expenditures would be if all economically attractive energy efficiency improvements were gradually implemented over the next 20 years. Energy related emissions are estimated under scenarios with and without fuel switching. The results show, for example, that New Brunswick's energy related CO 2 emissions would be reduced by ca 5 million tonnes in the year 2000 under the economic potential scenario. If fuel switching is adopted, an additional 1 million tonnes of CO 2 emissions could be saved in the year 2000 and 1.6 million tonnes in 2010. The economic impact analysis is restricted to efficiency options only and does not consider fuel switching. Results show the effect of the economic potential scenario on employment, government revenues, and intra-industry distribution of employment gains and losses. The employment impact is estimated as the equivalent of the creation of 2,424 jobs annually over 1991-2010. Government revenues would increase by ca $24 million annually. The industries benefitting most from energy efficiency improvements would be those related to construction, retail trade, finance, real estate, and food/beverages. Industries adversely affected would be the electric power, oil, and coal sectors. 2 figs., 37 tabs

  5. Evaluating municipal energy efficiency in biorefinery integration

    International Nuclear Information System (INIS)

    Haikonen, Turo; Tuomaala, Mari; Holmberg, Henrik; Ahtila, Pekka

    2013-01-01

    In this study biomass-based energy production was introduced to an urban city area of Helsinki, Finland. The study compared two cases in integration with a municipality: (1) biomass fuelled small-scale CHP (combined heat and power)-plant and (2) a biorefinery. The comparison was made according to primary energy consumption, primary energy factors, CO 2 (carbon dioxide) emissions and the price of produced biowax. It was also studied how results are influenced by different assumptions. The results showed that the primary energy consumption and CO 2 emissions were higher in the biorefinery case in absolute amounts as more products i.e. biowax was produced. The results indicated the primary energy factors were almost the same for both cases. Additionally, the primary energy use was very low for district heat and electricity produced in the biorefinery, when the primary energy use of the biorefinery was allocated only to the biowax. The sensitivity analysis of biowax pricing showed that a biorefinery is a competitive alternative for a CHP-plant if the prices of biomass and market electricity are low and the price of CO 2 allowance is high. In terms of overall energy efficiency comparison, the comparison cannot be properly completed, because of the different end-products of the plants. - Highlights: • Primary energy consumption and CO 2 emissions in a municipality are studied. • Energy production in a biorefinery is compared to a conventional CHP-plant. • In the biorefinery CO 2 emission per produced energy unit (CO 2 /MWh) is the lowest. • The CHP-case benefits from low primary energy consumption and electricity demand. • More than one energy efficiency figure needs to be considered in analyses

  6. An efficient and fast detection algorithm for multimode FBG sensing

    DEFF Research Database (Denmark)

    Ganziy, Denis; Jespersen, O.; Rose, B.

    2015-01-01

    We propose a novel dynamic gate algorithm (DGA) for fast and accurate peak detection. The algorithm uses threshold determined detection window and Center of gravity algorithm with bias compensation. We analyze the wavelength fit resolution of the DGA for different values of signal to noise ratio...... and different typical peak shapes. Our simulations and experiments demonstrate that the DGA method is fast and robust with higher stability and accuracy compared to conventional algorithms. This makes it very attractive for future implementation in sensing systems especially based on multimode fiber Bragg...

  7. The economic impacts of energy efficiency

    International Nuclear Information System (INIS)

    Jean, R.

    1990-01-01

    Energy efficiency programs add to the costs incurred by electricity users in the short term and generate significant economic benefits in the medium and long term. Using the example of programs in development at Hydro-Quebec, it is shown that the net economic benefits surpass, in present value terms, the sums invested by the electric utility and the customer, corresponding to yields of over 100%. This benefit is the principal impact of energy conservation programs which also provide employment, for every dollar invested, of the same order as that provided by hydroelectric production (i.e. costs associated with construction of generating plants, transmission lines, and distribution facilities). This evaluation takes account of the structure of purchases of goods and services brought about by energy efficiency programs and their large import component. This result may be surprising since the hydroelectric industry is strongly integrated into the Quebec economy, but it is understandable when one takes into account the importance of distribution costs to small-scale users, which causes significant local activity even when imported products are involved, and the very intensive labor requirement for certain energy efficiency measures. In addition, the employment generated by energy efficiency investments is very diversified in terms of the range of skills used and its geographic dispersion. 2 figs., 4 tabs

  8. Mobile Energy Laboratory energy-efficiency testing programs

    Energy Technology Data Exchange (ETDEWEB)

    Parker, G B; Currie, J W

    1992-03-01

    This report summarizes energy-efficiency testing activities applying the Mobile Energy Laboratory (MEL) testing capabilities during the third and fourth quarters of fiscal year (FY) 1991. The MELs, developed by the US Department of Energy (DOE) Federal Energy Management Program (FEMP), are administered by Pacific Northwest Laboratory (PNL) and the Naval Energy and Environmental Support Activity (NEESA) for energy testing and energy conservation program support functions at federal facilities. The using agencies principally fund MEL applications, while DOE/FEMP funds program administration and capability enhancement activities. This report fulfills the requirements established in Section 8 of the MEL Use Plan (PNL-6861) for semi-annual reporting on energy-efficiency testing activities using the MEL capabilities. The MEL Use Committee, formally established in 1989, developed the MEL Use Plan and meets semi-annually to establish priorities for energy-efficient testing applications using the MEL capabilities. The MEL Use Committee is composed of one representative each of the US Department of Energy, US Army, US Air Force, US Navy, and other federal agencies.

  9. Mobile Energy Laboratory energy-efficiency testing programs

    International Nuclear Information System (INIS)

    Parker, G.B.; Currie, J.W.

    1992-03-01

    This report summarizes energy-efficiency testing activities applying the Mobile Energy Laboratory (MEL) testing capabilities during the third and fourth quarters of fiscal year (FY) 1991. The MELs, developed by the US Department of Energy (DOE) Federal Energy Management Program (FEMP), are administered by Pacific Northwest Laboratory (PNL) and the Naval Energy and Environmental Support Activity (NEESA) for energy testing and energy conservation program support functions at federal facilities. The using agencies principally fund MEL applications, while DOE/FEMP funds program administration and capability enhancement activities. This report fulfills the requirements established in Section 8 of the MEL Use Plan (PNL-6861) for semi-annual reporting on energy-efficiency testing activities using the MEL capabilities. The MEL Use Committee, formally established in 1989, developed the MEL Use Plan and meets semi-annually to establish priorities for energy-efficient testing applications using the MEL capabilities. The MEL Use Committee is composed of one representative each of the US Department of Energy, US Army, US Air Force, US Navy, and other federal agencies

  10. Energy efficiency and proliferation assessment factors

    International Nuclear Information System (INIS)

    1979-02-01

    The objective of INFCE is to evaluate the nuclear fuel cycles from the point of view of their ability to satisfy the worldwide nuclear energy needs, while minimizing the proliferation risks. Accordingly, the different working groups have to take into consideration as well the energy-efficiency and the proliferation-resistance of these nuclear fuel cycles. The present working paper is aimed at suggesting the main assessment factors which should be taken into consideration

  11. Holistic Approach to Data Center Energy Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Hammond, Steven W [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-09-18

    This presentation discusses NREL's Energy System Integrations Facility and NREL's holistic design approach to sustainable data centers that led to the world's most energy-efficient data center. It describes Peregrine, a warm water liquid cooled supercomputer, waste heat reuse in the data center, demonstrated PUE and ERE, and lessons learned during four years of operation.

  12. Energy Efficient Evolution of Mobile Networks

    DEFF Research Database (Denmark)

    Micallef, Gilbert; Mogensen, Preben

    2011-01-01

    options for how to evolve their networks, allowing them to carry the expected increase in traffic. The best solution is generally selected based on two main criteria, performance and cost. However, pushed by a variety of environmental and energy challenges, MNOs are now also showing interest...... in understanding the impact that different options can have on the energy consumption of their networks. This paper investigates the possible energy gains of evolving a mobile network through a joint pico deployment and macro upgrade solution over a period of 8 years. Besides the network energy consumption, energy...... efficiency in Mbps/kWh is also analyzed. Furthermore, a cost analysis is carried out, to give a more complete picture of the different options being considered. Focusing on the last year of the evolution analysis, results show that deploying more pico sites reduces the energy consumption of the network...

  13. Energy efficiency of electrical infrared heating elements

    International Nuclear Information System (INIS)

    Brown, K.J.; Farrelly, R.; O’Shaughnessy, S.M.; Robinson, A.J.

    2016-01-01

    Highlights: • Characterization of the radiant energy efficiency of infrared heating elements. • Performed for a commercially available ceramic heater element for two cases. • Total radiant power and net radiant efficiency is computed. • Radiant efficiencies are strongly dependant on the input power to the element. • In-plane efficiencies depend on the distance from the heater. - Abstract: A measurement system has been designed to characterize the radiant energy efficiency of infrared heating elements. The system also allows for measurement of the radiant heat flux distribution emitted from radiant heater assemblies. To facilitate these, a 6-axis robotic arm is fitted with a Schmidt–Boelter radiant heat flux gauge. A LabVIEW interface operates the robot and positions the sensor in the desired location and subsequently acquires the desired radiant heat flux measurement. To illustrate the functionality of the measurement system and methodology, radiant heat flux distributions and efficiency calculations are performed for a commercially available ceramic heater element for two cases. In the first, a spherical surface is traced around the entire heater assembly and the total radiant power and net radiant efficiency is computed. In the second, 50 cm × 50 cm vertical planes are traced parallel to the front face of the heater assembly at distances between 10 cm and 50 cm and the in-plane power and efficiencies are computed. The results indicate that the radiant efficiencies are strongly dependant on the input power to the element and, for the in-plane efficiencies, depend on the distance from the heater.

  14. Benchmarking the energy efficiency of commercial buildings

    International Nuclear Information System (INIS)

    Chung, William; Hui, Y.V.; Lam, Y. Miu

    2006-01-01

    Benchmarking energy-efficiency is an important tool to promote the efficient use of energy in commercial buildings. Benchmarking models are mostly constructed in a simple benchmark table (percentile table) of energy use, which is normalized with floor area and temperature. This paper describes a benchmarking process for energy efficiency by means of multiple regression analysis, where the relationship between energy-use intensities (EUIs) and the explanatory factors (e.g., operating hours) is developed. Using the resulting regression model, these EUIs are then normalized by removing the effect of deviance in the significant explanatory factors. The empirical cumulative distribution of the normalized EUI gives a benchmark table (or percentile table of EUI) for benchmarking an observed EUI. The advantage of this approach is that the benchmark table represents a normalized distribution of EUI, taking into account all the significant explanatory factors that affect energy consumption. An application to supermarkets is presented to illustrate the development and the use of the benchmarking method

  15. Utilities and energy efficiency Denmark report

    Energy Technology Data Exchange (ETDEWEB)

    Olesen, G.B.; Lyck, N.C.

    1996-11-01

    The report is the Danish contribution to the project `Utilities and Energy Efficiency` produced for the European Commission by IET, Nikkel straat 15, 4823 AE Breda, The Netherlands. Information is given under the headings of existing situation and desired situation. Recommendations are also given under the headings of legislation concerning the objectives of the utilities, of government programs and targets, of organizational structure, required market dependence and internal objectives of the utilities, for regulation and standardization, and of tariff structure. Flow diagrams are presented for the Danish energy system 1990, 1993. The 1993 follow up of the energy plan `Energy 2000` points out that the goals set up at that time, first and foremost the 20% reduction in CO{sub 2} emissions in 2005 compared to the 1988 level, will not be reached without changes in policy, such as an increase in the use of renewable energy, more transparent and consistent tariff systems as a greater incentive for energy conservation, regulations on thermal insulation of houses, increase in public information activities,a new subsidy scheme to stimulate improvements of energy efficiency in buildings and regulations on energy supply to large buildings. (ARW) 55 refs.

  16. A Biologically Inspired Energy-Efficient Duty Cycle Design Method for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Jie Zhou

    2017-01-01

    Full Text Available The recent success of emerging wireless sensor networks technology has encouraged researchers to develop new energy-efficient duty cycle design algorithm in this field. The energy-efficient duty cycle design problem is a typical NP-hard combinatorial optimization problem. In this paper, we investigate an improved elite immune evolutionary algorithm (IEIEA strategy to optimize energy-efficient duty cycle design scheme and monitored area jointly to enhance the network lifetimes. Simulation results show that the network lifetime of the proposed IEIEA method increased compared to the other two methods, which means that the proposed method improves the full coverage constraints.

  17. Energy Efficiency, Water Efficiency, and Renewable Energy Site Assessment: Mendenhall Glacier Visitor Center, Juneau, Alaska

    Energy Technology Data Exchange (ETDEWEB)

    Salasovich, James [National Renewable Energy Lab. (NREL), Golden, CO (United States); LoVullo, David [National Renewable Energy Lab. (NREL), Golden, CO (United States); Kandt, Alicen [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2016-01-21

    This report summarizes results from the energy efficiency, water efficiency, and renewable energy site assessment of the Mendenhall Glacier Visitor Center and site in Juneau, Alaska. The assessment is an American Society of Heating, Refrigerating, and Air-Conditioning Engineers Level 2 audit and meets Energy Independence and Security Act requirements. A team led by the U.S. Department of Energy's National Renewable Energy Laboratory conducted the assessment with U.S. Forest Service personnel August 19-20, 2015, as part of ongoing efforts by USFS to reduce energy and water use.

  18. Energy Efficient Position-Based Three Dimensional Routing for Wireless Sensor Networks

    Directory of Open Access Journals (Sweden)

    Jeongdae Kim

    2008-04-01

    Full Text Available In this paper, we focus on an energy efficient position-based three dimensional (3D routing algorithm using distance information, which affects transmission power consumption between nodes as a metric. In wireless sensor networks, energy efficiency is one of the primary objectives of research. In addition, recent interest in sensor networks is extended to the need to understand how to design networks in a 3D space. Generally, most wireless sensor networks are based on two dimensional (2D designs. However, in reality, such networks operate in a 3D space. Since 2D designs are simpler and easier to implement than 3D designs for routing algorithms in wireless sensor networks, the 2D assumption is somewhat justified and usually does not lead to major inaccuracies. However, in some applications such as an airborne to terrestrial sensor networks or sensor networks, which are deployed in mountains, taking 3D designs into consideration is reasonable. In this paper, we propose the Minimum Sum of Square distance (MSoS algorithm as an energy efficient position-based three dimensional routing algorithm. In addition, we evaluate and compare the performance of the proposed routing algorithm with other algorithms through simulation. Finally, the results of the simulation show that the proposed routing algorithm is more energy efficient than other algorithms in a 3D space.

  19. 10 CFR 435.4 - Energy efficiency performance standard.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 3 2010-01-01 2010-01-01 false Energy efficiency performance standard. 435.4 Section 435.4 Energy DEPARTMENT OF ENERGY ENERGY CONSERVATION ENERGY EFFICIENCY STANDARDS FOR NEW FEDERAL LOW-RISE RESIDENTIAL BUILDINGS Mandatory Energy Efficiency Standards for Federal Low-Rise Residential...

  20. 10 CFR 433.4 - Energy efficiency performance standard.

    Science.gov (United States)

    2010-01-01

    ... 10 Energy 3 2010-01-01 2010-01-01 false Energy efficiency performance standard. 433.4 Section 433.4 Energy DEPARTMENT OF ENERGY ENERGY CONSERVATION ENERGY EFFICIENCY STANDARDS FOR THE DESIGN AND... consumption level at or better than the maximum level of energy efficiency that is life-cycle cost-effective...