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Journal articles on the topic 'Optimal energy efficiency'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Kannan, K. Nattar, and B. Paramasivan. "Enhancing Energy Efficiency in Wireless Sensor Networks Using Optimal Gradient Routing Protocol." International Journal of Computer and Communication Engineering 3, no. 6 (2014): 408–12. http://dx.doi.org/10.7763/ijcce.2014.v3.359.

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2

Hobbs, Benjamin F., Villamor Gamponia, and Allen F. Wilson. "Optimal expansion of energy efficiency programs." Resource and Energy Economics 16, no. 1 (March 1994): 1–24. http://dx.doi.org/10.1016/0928-7655(94)90011-6.

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3

Mlinarić, Tomislav Josip, and Klemen Ponikvar. "Energy Efficiency of Railway Lines." PROMET - Traffic&Transportation 23, no. 3 (June 28, 2011): 187–93. http://dx.doi.org/10.7307/ptt.v23i3.122.

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Energy saving is necessary in accordance with the principles of sustainable development. Energy consumption is increasing, and the production capacities are limited. The three main railway segments such as: railway infrastructure, traffic management and dynamic train movement have an important impact on energy consumption for train haulage. The aim of the research presented in this paper is to determine energy consumption efficiency for train haulage, by choosing optimal construction parameters of railway lines, modern design of railway stations, optimal traffic management and energy efficient dynamic train movement. The paper gives a concrete presentation of energy consumption in all three segments of railway traffic and proposals for rationalization of energy consumption. The infrastructure managers and rail carriers should cooperate in the process of efficiency consumption of energy for train haulage. Saving of energy is a never-ending process.

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Robinson, David, David Adrian Sanders, and Ebrahim Mazharsolook. "Sensor-based ambient intelligence for optimal energy efficiency." Sensor Review 34, no. 2 (March 17, 2014): 170–81. http://dx.doi.org/10.1108/sr-10-2012-667.

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Purpose – This paper aims to describe research work to create an innovative, and intelligent solution for energy efficiency optimisation. Design/methodology/approach – A novel approach is taken to energy consumption monitoring by using ambient intelligence (AmI), extended data sets and knowledge management (KM) technologies. These are combined to create a decision support system as an innovative add-on to currently used energy management systems. Standard energy consumption data are complemented by information from AmI systems from both environment-ambient and process ambient sources and processed within a service-oriented-architecture-based platform. The new platform allows for building of different energy efficiency software services using measured and processed data. Four were selected for the system prototypes: condition-based energy consumption warning, online diagnostics of energy-related problems, support to manufacturing process lines installation and ramp-up phase, and continuous improvement/optimisation of energy efficiency. Findings – An innovative and intelligent solution for energy efficiency optimisation is demonstrated in two typical manufacturing companies, within one case study. Energy efficiency is improved and the novel approach using AmI with KM technologies is shown to work well as an add-on to currently used energy management systems. Research limitations/implications – The decision support systems are only at the prototype stage. These systems improved on existing energy management systems. The system functionalities have only been trialled in two manufacturing companies (the one case study is described). Practical implications – A decision support system has been created as an innovative add-on to currently used energy management systems and energy efficiency software services are developed as the front end of the system. Energy efficiency is improved. Originality/value – For the first time, research work has moved into industry to optimise energy efficiency using AmI, extended data sets and KM technologies. An AmI monitoring system for energy consumption is presented that is intended for use in manufacturing companies to provide comprehensive information about energy use, and knowledge-based support for improvements in energy efficiency. The services interactively provide suggestions for appropriate actions for energy problem elimination and energy efficiency increase. The system functionalities were trialled in two typical manufacturing companies, within one case study described in the paper.

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Robinson, David Charles, David Adrian Sanders, and Ebrahim Mazharsolook. "Ambient intelligence for optimal manufacturing and energy efficiency." Assembly Automation 35, no. 3 (August 3, 2015): 234–48. http://dx.doi.org/10.1108/aa-11-2014-087.

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Purpose – This paper aims to describe the creation of innovative and intelligent systems to optimise energy efficiency in manufacturing. The systems monitor energy consumption using ambient intelligence (AmI) and knowledge management (KM) technologies. Together they create a decision support system as an innovative add-on to currently used energy management systems. Design/methodology/approach – Energy consumption data (ECD) are processed within a service-oriented architecture-based platform. The platform provides condition-based energy consumption warning, online diagnostics of energy-related problems, support to manufacturing process lines installation and ramp-up phase and continuous improvement/optimisation of energy efficiency. The systems monitor energy consumption using AmI and KM technologies. Together they create a decision support system as an innovative add-on to currently used energy management systems. Findings – The systems produce an improvement in energy efficiency in manufacturing small- and medium-sized enterprises (SMEs). The systems provide more comprehensive information about energy use and some knowledge-based support. Research limitations/implications – Prototype systems were trialled in a manufacturing company that produces mooring chains for the offshore oil and gas industry, an energy intensive manufacturing operation. The paper describes a case study involving energy-intensive processes that addressed different manufacturing concepts and involved the manufacture of mooring chains for offshore platforms. The system was developed to support online detection of energy efficiency problems. Practical implications – Energy efficiency can be optimised in assembly and manufacturing processes. The systems produce an improvement in energy efficiency in manufacturing SMEs. The systems provide more comprehensive information about energy use and some knowledge-based support. Social implications – This research addresses two of the most critical problems in energy management in industrial production technologies: how to efficiently and promptly acquire and provide information online for optimising energy consumption and how to effectively use such knowledge to support decision making. Originality/value – This research was inspired by the need for industry to have effective tools for energy efficiency, and that opportunities for industry to take up energy efficiency measures are mostly not carried out. The research combined AmI and KM technologies and involved new uses of sensors, including wireless intelligent sensor networks, to measure environment parameters and conditions as well as to process performance and behaviour aspects, such as material flow using smart tags in highly flexible manufacturing or temperature distribution over machines. The information obtained could be correlated with standard ECD to monitor energy efficiency and identify problems. The new approach can provide effective ways to collect more information to give a new insight into energy consumption within a manufacturing system.

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6

Takeuchi, Keigo. "Spatial Modulation Achieves Information-Theoretically Optimal Energy Efficiency." IEEE Communications Letters 19, no. 7 (July 2015): 1133–36. http://dx.doi.org/10.1109/lcomm.2015.2433271.

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G.V, Ramanaiah, L. Krishna kavya, P. V. Rajya Lakshmi, V. Sai Kumar, and Sk Shahed Ali. "Optimal Energy Efficiency Through Dpsn Based 5g Network." International Journal of Electronics and Communication Engineering 7, no. 3 (March 25, 2020): 29–34. http://dx.doi.org/10.14445/23488549/ijece-v7i3p105.

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Kuznetsov, Oleg, Viktor Chepurnov, Albina Gurskaya, Mikhail Dolgopolov, and Sali Radzhapov. "C-beta energy converter efficiency modeling." EPJ Web of Conferences 222 (2019): 02012. http://dx.doi.org/10.1051/epjconf/201922202012.

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To construct beta converters with maximum efficiency it is necessary to carry out the theoretical calculation in order to determine their optimal parameters - the geometry of the structure, the thickness of the deposition of the radioisotope layer, the depth and the width of the p-n junction, and others. To date, many different theoretical models and calculations methods had been proposed. There are fairly simple theoretical models based on the Bethe-Bloch formula and the calculation of the rate of generation of electron-hole pairs, and on calculations by equivalent circuits. Also, the Monte-Carlo method is used for theoretical modeling of beta converters. This paper explores beta converter optimization using the Monte-Carlo method. The purpose of the study is to conduct Monte-Carlo simulation of the beta converter to determine its optimal parameters.

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Asyraf Mohd Kamaruzaman, Amirul, Muhammad Murtadha Othman, Aainaa Mohd Arriffin, Ismail Musirin, Muhd Azri Abdul Razak, and Zilaila Zakaria. "Energy Efficiency of a Building Using Capacitors Optimization." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 2 (November 1, 2017): 343. http://dx.doi.org/10.11591/ijeecs.v8.i2.pp343-349.

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<p>This paper presents the optimal location and sizing of capacitors to reduce the total power losses as well as its investment cost for a distribution system in a building. The capacitors location and sizing will be randomly chosen repetitively, via Stochasitic optimization method using MATLAB<sup>® </sup>and SIMULINK<sup>® </sup>software. The optimal capacitors location and sizing will be picked via analysis and comparisons between the results. The result shows improvement in power losses with minimal investment cost whilst providing optimal sizing and location of capacitors to be installed in a building.</p>

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Janssen, Eddy. "Energy saving and efficiency." EPJ Web of Conferences 246 (2020): 00015. http://dx.doi.org/10.1051/epjconf/202024600015.

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Many products and package systems offered by manufacturers have been optimized under pressure from Europe’s eco-design regulations (e.g., Energy Related Products). This also gives the customer access to reliable product information at the time of purchase, which continuously encourages manufacturers to improve the energy efficiency of their products in order to remain competitive. Typical of this merchandise is mass production. The focus in this article is on the design of energy efficient thermal systems, where each installation is custom made and consists of an assembly of components. Two groups with a large share in energy consumption need a different approach: industrial processes and building facilities. Pinch Point Analysis provides a systematic method to save energy in industrial plants through optimal implementation of heat recovery, cogeneration and heat pump applications. On the other hand, the Hysopt simulation software offers a powerful and accessible tool for optimizing the heat generation and distribution network that allows energy savings in buildings. After an introduction, both Pinch Point Analysis and Hysopt are explained, with designers in particular being the target group.

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Zhu, Lei, Changhua Yao, and Lei Wang. "Optimal Energy Efficiency Distributed Relay Decision in UAV Swarms." Wireless Personal Communications 102, no. 4 (January 22, 2018): 2997–3008. http://dx.doi.org/10.1007/s11277-018-5321-5.

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Ma, Zhongkun, and Guy A. E. Vandenbosch. "Optimal solar energy harvesting efficiency of nano-rectenna systems." Solar Energy 88 (February 2013): 163–74. http://dx.doi.org/10.1016/j.solener.2012.11.023.

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13

Hu, Sideng, Zipeng Liang, Jing Zhou, and Xiaoli Yu. "Optimal Energy Efficiency Tracking in the Energy-Stored Quasi-Z-Source Inverter." Energies 13, no. 22 (November 12, 2020): 5902. http://dx.doi.org/10.3390/en13225902.

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In this paper, the interaction between the energy storage (ES) power distribution and system efficiency enhancement is researched based on the energy stored quasi-Z-source inverter. The corresponding current counteraction, stress reduction, power loss profile, and efficiency enhancement around the embedded energy storage units are studied in details. Firstly, the current counteraction effect on the device current is presented with the embedded ES source. The corresponding reduction in the device current stress is revealed. Then, the detailed device power loss expressions with current redistribution in the impedance network are explored mathematically. A quasi-inverted-trapezoidal power loss profile is found with the embedded source power distribution. To further increase the overall system efficiency, an optimal energy efficiency tracking strategy is proposed for the ES-qZSI (energy-stored quasi-Z-source inverter) based on the power distribution control. Both the simulation and the experiment verified that the power loss is reduced by over 40% through the proposed efficiency enhancement method. The device current and loss analysis for the embedding of energy storage can also be extended to the operating range optimization in other ES systems.

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Tan, Barış, Yahya Yavuz, Emre N. Otay, and Emre Çamlıbel. "Optimal selection of energy efficiency measures for energy sustainability of existing buildings." Computers & Operations Research 66 (February 2016): 258–71. http://dx.doi.org/10.1016/j.cor.2015.01.013.

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15

Li, Xin Li. "Optimal Energy Management Strategy for Parallel Scheduling." Applied Mechanics and Materials 568-570 (June 2014): 1539–46. http://dx.doi.org/10.4028/www.scientific.net/amm.568-570.1539.

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Large-scale data streams processing is now fundamental to many data processing applications. There is growing focus on manipulating Large-scale data streams on GPUs in order to improve the data throughput. Hence, there is a need to investigate the parallel scheduling strategy at the task level for the Large-scale data streamsprocessing, and to support them efficiently. We propose two different parallel scheduling strategies to handle massive data streamsin real time. Additionally, massive data streamsprocessing on GPUs is energy-consumed computation task. So we consider the power efficiency as an important factor to the parallel strategies. We present an approximation method to quantify the power efficiency for massive data streams during the computing phase. Finally, we test and compare the two parallel scheduling strategies on a large quantity of synthetic and real stream datas. The simulation experiments and compuatation results in practice both prove the accuracy of analysis on performance and power efficiency.

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Klimov, R., and A. Morozovskaya. "ENERGY EFFICIENCY OF COMBINED HEAT SUPPLY SYSTEMS." Collection of scholarly papers of Dniprovsk State Technical University (Technical Sciences) 2, no. 39 (December 21, 2021): 92–97. http://dx.doi.org/10.31319/2519-2884.39.2021.11.

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The consumption of energy resources in the world states is constantly growing from year to year. The production of fossil fuels is also increasing, but for various reasons it cannot fully cover the required amount from consumers. One of the most important consumption sectors is heat loads from heating, ventilation and hot water supply of industrial and residential buildings. To cover the thermal loads of heating and hot water supply, the necessary heat carrier is water heated to a certain temperature. The most promising from the point of view of heating water for hot water supply are solar collectors. Hot water for heating needs to be reheated practically throughout the entire heating period. The introduction of heat pumps is promising. When using solar collectors, the heating agent can be reheated in heat pumps. The aim of the study is to develop such a combined heat supply system that uses more renewable energy and as a peak source a fossil fuel boiler (electric energy), as well as a method for calculating this system to determine the optimal composition of equipment and rational modes of its operation. The methodology for calculating heat supply systems combining solar collectors, heat pumps and fossil fuel boilers is presented. The problem of load distribution between the main elements of the combined heat supply system should take into account the probabilistic component. This is due to the fact that with a changing real mode of operation, different thermal load of the equipment can be optimal. This is primarily influenced by the variable heat inputs from solar collectors during the day. According to the above method, it is possible to determine the optimal parameters of the heat supply system for different operating modes, at which the minimum consumption of fossil fuel will be ensured.

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Kuropiatnyk, O. S. "Parametric Optimization of Belt Conveyors by Energy Efficiency Criterion." Science and Transport Progress. Bulletin of Dnipropetrovsk National University of Railway Transport, no. 3(93) (June 15, 2021): 50–58. http://dx.doi.org/10.15802/stp2021/242036.

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Purpose. The purpose of this work is to substantiate the optimal values of the belt conveyor parameters, at which the specific energy consumption for the cargo transportation takes on the lowest value. Methodology. The substantiation of the optimal values of the belt conveyor parameters was carried out by minimizing the function of specific energy consumption, which represents the energy consumption for the transportation of a cargo weighing 1 kg at a distance of 1 m. In the course of research, the drive force was determined using the contour bypass meth-od. In this case, the specific loads from the transported cargo, belt and roller supports were presented as functions of the belt width. To establish the optimal values of the conveyor productivity and belt speed, the belt width was presented as a function of these values, taking into account the physical and mechanical properties of the transported cargo, the design features of the roller supports and the belt angle. Findings. I obtained the dependences of specific energy consumption on the design parameters of the conveyor. Their analysis made it possible to identify the opti-mal values of the belt width, conveyor productivity, belt speed, and the optimal ratio of the last two values for dif-ferent types of transported cargo. It is noted that the results obtained can be supplemented by carrying out calcula-tions according to the formula given in this work. It has been established that the optimal value of the belt width depends only on the belt angle and on the coefficients that determine the energy losses, in particular the movement resistance coefficient of the belt; the influence of the specified coefficient increases with an increase in the belt angle. In addition, the optimal value of the belt width does not depend on the conveyor length, its productivity and belt speed. Originality. The dependences of the specific energy consumption on the design parameters of the belt conveyor were obtained, which made it possible to establish the optimal values of the belt width and the ratio of the conveyor productivity to the belt speed. Practical value. The results of this work can be used in the design of energy-efficient belt conveyors, which are characterized by the lowest specific energy consumption for cargo transportation.

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18

Yang, Dingcheng, Chuanqi Zhu, Lin Xiao, Xiaomei Shen, and Tiankui Zhang. "An Energy-Efficient Scheme for Multirelay Cooperative Networks with Energy Harvesting." Mobile Information Systems 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/5618935.

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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.

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Bulić, Patricio, Gašper Kojek, and Anton Biasizzo. "Data Transmission Efficiency in Bluetooth Low Energy Versions." Sensors 19, no. 17 (August 29, 2019): 3746. http://dx.doi.org/10.3390/s19173746.

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One important aspect when choosing a Bluetooth Low Energy (BLE) solution is to analyze its energy consumption for various connection parameters and desired throughput to build an optimal low-power Internet-of-Things (IoT) application and to extend the battery life. In this paper, energy consumption and data throughput for various BLE versions are studied. We have tested the effect of connection interval on the throughput and compared power efficiency relating to throughput for various BLE versions and different transactions. The presented results reveal that shorter connection intervals increase throughput for read/write transactions, but that is not the case for the notify and read/write without response transactions. Furthermore, for each BLE version, the energy consumption is mainly dependable on the data volume. The obtained results provide a design guideline for implementing an optimal BLE IoT application.

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Knobloch, Florian, and Nico Braunschweig. "A Traffic-Aware Moving Light System Featuring Optimal Energy Efficiency." IEEE Sensors Journal 17, no. 23 (December 1, 2017): 7731–40. http://dx.doi.org/10.1109/jsen.2017.2669398.

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21

Vaninsky, Alexander. "Energy-environmental efficiency and optimal restructuring of the global economy." Energy 153 (June 2018): 338–48. http://dx.doi.org/10.1016/j.energy.2018.03.063.

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22

Li, Chunguo, Wei-Ping Zhu, and Luxi Yang. "Optimal Energy to Spectral-Efficiency Trade-off in Cooperative Networks." Wireless Personal Communications 82, no. 3 (January 28, 2015): 1547–66. http://dx.doi.org/10.1007/s11277-015-2298-1.

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23

Alvandi, Samira. "Energy Efficiency Improvement through Optimal Batch Sizing in Job Shop." Modern Applied Science 14, no. 10 (September 21, 2020): 6. http://dx.doi.org/10.5539/mas.v14n10p6.

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The increasing customization of products with greater variances and smaller lot sizes, has motivated manufacturers to adopt highly dynamic production planning. The production plans not only need to adapt to the production system state changes rapidly but also need to adopt energy reduction schemes to satisfy key sustainability performance indicators. The dilemma from industry point of view is to tackle multi-faceted problem of optimising economic and environmental performance. This research aims to overcome the multi-faceted objectives of small and medium-sized enterprises (SME’s) by providing a simulation-optimisation platform that creates the best possible production plans for optimum results. The applicability of the proposed framework is demonstrated through a real-life job-shop environment with the focus on optimisation of energy as well as job tardiness.

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Papazafeiropoulos, Anastasios, Hien Quoc Ngo, Pandelis Kourtessis, Symeon Chatzinotas, and John M. Senior. "Towards Optimal Energy Efficiency in Cell-Free Massive MIMO Systems." IEEE Transactions on Green Communications and Networking 5, no. 2 (June 2021): 816–31. http://dx.doi.org/10.1109/tgcn.2021.3059206.

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Liu, Quanjin, Jianlan Wu, Langtao Hu, Songjiao Bi, Wen Ji, and Rui Yang. "Optimal Energy Efficiency Used DDPG in IRS-NOMA Wireless Communications." Symmetry 14, no. 5 (May 17, 2022): 1018. http://dx.doi.org/10.3390/sym14051018.

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Combining Intelligent Reflecting Surface (IRS) with Non-Orthogonal Multiple Access (NOMA) technology is a viable option for increasing communication performance. Firstly, a NOMA downlink transmission system assisted by IRS is established in this study, for maximizing its energy efficiency. Then a Deep Deterministic Policy Gradient (DDPG) algorithm with symmetric properties is used to further optimize the energy efficiency of the system by intelligently adjusting the beam-forming matrix of the access point (AP) and the phase-shift matrix of the IRS. According to the simulation results, the proposed IRS-assisted NOMA downlink network based on the DDPG algorithm presented a considerably higher energy efficiency than the orthogonal multiple access network.

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Jiang, Bin, Bowen Ren, Yufei Huang, Tingting Chen, Li You, and Wenjin Wang. "Energy Efficiency and Spectral Efficiency Tradeoff in Massive MIMO Multicast Transmission with Statistical CSI." Entropy 22, no. 9 (September 18, 2020): 1045. http://dx.doi.org/10.3390/e22091045.

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As the core technology of 5G mobile communication systems, massive multi-input multi-output (MIMO) can dramatically enhance the energy efficiency (EE), as well as the spectral efficiency (SE), which meets the requirements of new applications. Meanwhile, physical layer multicast technology has gradually become the focus of next-generation communication technology research due to its capacity to efficiently provide wireless transmission from point to multipoint. The availability of channel state information (CSI), to a large extent, determines the performance of massive MIMO. However, because obtaining the perfect instantaneous CSI in massive MIMO is quite challenging, it is reasonable and practical to design a massive MIMO multicast transmission strategy using statistical CSI. In this paper, in order to optimize the system resource efficiency (RE) to achieve EE-SE balance, the EE-SE trade-offs in the massive MIMO multicast transmission are investigated with statistical CSI. Firstly, we formulate the eigenvectors of the RE optimization multicast covariance matrices of different user terminals in closed form, which illustrates that in the massive MIMO downlink, optimal RE multicast precoding is supposed to be done in the beam domain. On the basis of this viewpoint, the optimal RE precoding design is simplified into a resource efficient power allocation problem. Via invoking the quadratic transform, we propose an iterative power allocation algorithm, which obtains an adjustable and reasonable EE-SE tradeoff. Numerical simulation results reveal the near-optimal performance and the effectiveness of our proposed statistical CSI-assisted RE maximization in massive MIMO.

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Wu, Fan, Yuming Mao, Xiaoyan Huang, and Supeng Leng. "Optimal Resource Allocation for Energy-Efficient OFDMA Networks." Mathematical Problems in Engineering 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/594024.

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This paper focuses on radio resource allocation in OFDMA networks for maximizing the energy efficiency subject to the data rate requirements of users. We propose the energy-efficient water-filling structure to obtain the closed-form optimal energy-efficient power allocation for a given subcarrier assignment. Moreover, we establish a new sufficient condition for the optimal energy-efficient subcarrier assignment. Based on the theoretical analysis, we develop a joint energy-efficient resource allocation (JERA) algorithm to maximize the energy efficiency. Simulation results show that the JERA algorithm can yield optimal solution with significantly low computational complexity.

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Ye, Hengdong, Zhengchuan Chen, Yunjian Jia, and Shutong Chen. "The Optimal Power Allocation for Sum Rate and Energy Efficiency of Full-Duplex Two-Way Communication Network." Entropy 24, no. 4 (April 11, 2022): 537. http://dx.doi.org/10.3390/e24040537.

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Full-duplex (FD) transmission holds a great potential of improving the sum data rate of wireless communication systems. However, the self-interference introduced by the full-duplex transmitter brings a big challenge to enhance the energy efficiency. This paper investigates the power allocation problem in a full-duplex two-way (FDTW) communication network over an OFDM channel, aiming at improving the sum data rate and energy efficiency. We first characterize the sum rate and energy efficiency achieved in a single-carrier FDTW system. The optimal transmit power that achieves the maximal sum data rate is presented. The energy efficiency maximization problem is solved by using fractional programming. Then we further formulate sum rate and energy efficiency maximization problem in a multi-subcarrier FDTW system. In particular, the sub-optimal transmit power allocation which achieves a decent sum rate improvement is found by using a proposed iterative algorithm. By combining the iterative algorithm and fractional programming, we further maximize the energy efficiency of the multi-subcarrier system. With our proposed algorithm, we can easily obtain an optimal transmit power that approximates the global optimal solution. Simulation results show that using the obtained optimal transmit power allocation algorithm can significantly improve the sum rate and energy efficiency in both single-carrier and multi-subcarrier systems.

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Zheng, Su Lu, Yun Yan Mao, Xiang Ping Wang, Zhi Yun Zheng, Shen Xi He, Zeng Yang Huang, and Dong Dong Wang. "Energy Efficiency Analysis of Piston Type Air Compressor." Advanced Materials Research 981 (July 2014): 769–73. http://dx.doi.org/10.4028/www.scientific.net/amr.981.769.

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In the paper,the relationship of the energy efficiency and its impact factor such as intake valve lift ,exhaust valve lift, clearance volume and rotational speed has been researched and the optimal conditions of the air compressor running was found . By adjusting the parameters of intake valve lift, exhaust valve lift, clearance volume and rotational speed, the total energy of a W-1.6/5 compressor could be reduced by 10.9%.

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Severnyák, Krisztina. "Overhead Reduction or Energy Efficiency Measures." Applied Mechanics and Materials 824 (January 2016): 493–502. http://dx.doi.org/10.4028/www.scientific.net/amm.824.493.

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The energy efficiency minimum requirements determined at the Decree 2006/7 by the Minister without Portfolio, has been amended in 2015, only prescribes cost optimisation levels corresponding in strictness to those by the European Union as set out in the Directive 2010/631 EU for state or EU founded renovations. With the artificial decrease in energy prices in Hungary in 2012, requirements originally considered as optimal has changed and tightening is not needed any more. By maintaining the old requirements, the energy consumption and CO2 emission of renovated and newly constructed buildings will stay below optimum levels. Ignoring actual energy prices results in an apparently low return on constructing energy efficient buildings while energy awareness is also decreasing as a result of these measures. One may wonder about the energy efficiency measures that could have been financed from the savings coming from the enforced utility cost reduction, ones that would have resulted in real energy savings, thus benefitting both the users of buildings and the implementation of Hungarian commitments with the deadline of 2020.

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Antonenkov, D. V., V. Z. Manusov, P. V. Matrenin, and V. R. Kiushkina. "Adaptive optimal control of prosumer energy storage system with renewable energy sources." Omsk Scientific Bulletin, no. 173 (2020): 50–56. http://dx.doi.org/10.25206/1813-8225-2020-173-50-56.

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The prosumer can use energy storage to enhance the benefits of electricity trading by transferring buy and sell points. Improving energy efficiency is not considered from the standpoint of the entire system, but from an individual prosumer and in conditions of difficult-to-predict wind power generation. This work aims to optimize the prosumer’s electrical complex by developing a method for adapting the base of heuristic rules of the prosumer control to its parameters and climatic conditions. A method for adaptation control rules using swarm intelligence algorithms is proposed. The computer simulation has shown that the use of swarm algorithms makes it possible to increase the economic efficiency of managing the prosumer’s energy storage system by 2–4 times compared to the control rules manually constructed by an expert. It is shown that the proposed method makes it possible to automate the construction of the base of control rules

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32

Brahim, Ahmed Ould, and Souad Abderafi. "Energy Efficiency Improvement of Debutanizer Column, for NGL Separation." International Journal of Environmental Science and Development 12, no. 9 (2021): 255–60. http://dx.doi.org/10.18178/ijesd.2021.12.9.1348.

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Compared to other petroleum, the natural gas combustion remains the cleanest and the one showing less CO2 emission. These reasons make the natural gas combustion one of the important issues to study. The separation of NGL is energy intensive. This operation is performed through a series of column including the debutanizer column. The present work is devoted to optimize the energy consumption at the level of the debutanizer column. The response surface technique and deploying a central composite numerical design is followed makes use of available data from a refinery. Using a multiple linear regressions, the optimization method leads us to three reliable models. Each of the three models takes as input the reflux ratio and the head pressure in order to predict the condenser heat duty, the reboiler heat duty and the purity of the produced butane. Suggested mathematical models were validated and their reliability was assessed via a set of statistical analyses. The optimization aims to simultaneously minimize the energy consumption of the condenser and reboiler, and maximize the purity of the ejected Butane. This optimization step allowed us to define the optimal values of reflux ratio and head pressure, with desirability function equal to 99 %. Under the determined optimal values, operating energy and cost of the industrial process were reduced by 38 % and 37 %, respectively, and besides, a high purity of butane was noticed reaching 99 %. From an economic point of view, separation NGL with optimal values of pressure and reflux ratio, may contribute to a decrease of CO2 emission and increases the energy efficiency.

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Bhardwaj, Kanupriya, and Eshita Gupta. "Analyzing the “energy-efficiency gap”." Indian Growth and Development Review 10, no. 2 (November 13, 2017): 66–88. http://dx.doi.org/10.1108/igdr-04-2017-0028.

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Purpose The key purpose of this paper is to quantify the size of the energy-efficiency gap (EEG) for air conditioners at the household level in Delhi. Most of the studies in the EEG tradition broadly define EEG as the difference between the actual and optimal level of energy efficiency. The optimal level of energy efficiency is defined at the societal level (that weigh social costs against social benefits) and the private level (that weigh private costs against private benefits). Design/methodology/approach The authors base the empirical results in this study on the basis of the primary data collected through in-person interviews of the high-income urban households in Delhi in 2014-2015. The sample of 101 households was collected through purposive random sampling. The survey data include information on type and number of AC possessed, hours of operations, socioeconomic characteristics and awareness and habits of households. Findings Using primary data of 101 high-income urban household, the paper finds that average EEG is about 10 per cent of total electricity demand of ACs at the household level. The maximum current saving potential measured as a difference between hypothetical energy consumption, if everyone adopts five star ACs, and actual energy consumption is estimated about 14 per cent of the total electricity demand of ACs. Results from the ordinary least squares regressions demonstrate that individual’s habits, attitude, awareness of energy-efficiency measures and perceptions significantly determine the size of the EEG. Among other things, authors’ empirical analysis shows that information can play a central role in guiding investment in energy-efficient technologies. From the analysis of improving access to understandable information about cost savings, payback period and emission reduction, it is found that full information leads to the significant reduction in the size of the expected private energy-efficiency gap from 10 to 2.98 per cent at the household level. Research limitations/implications This paper tests the significance of non-economic and non-social factors in determining the size of the EEG. Apart from socioeconomic factors such as income, occupation and education, individual’s energy-conserving habits and attitudes, awareness of energy-efficiency measures and perceptions are other important factors found to have a significant negative impact on the size of the EEG. This is particularly important for the designing of information programs by policymakers for promoting energy-efficiency choices in view of the change that is required in the behavior and attitudes of the households. Originality/value In this study, authors try to estimate the size of the EEG of ACs for the high-income urban households in Delhi. The private energy-efficiency gap estimated at 10 per cent of the household demand for ACs indicates existing saving opportunity for the private households. It is found that provision of comprehensive information about cost savings, payback period and emission reduction reduces the size of the EEG significantly from 10 to 2.72 per cent at the private level. This highlights the existence of limited and incomplete information in the market about the possible costs and benefits of energy-efficiency investments. This paper tests the significance of non-economic and non-social factors in determining the size of the energy-efficiency gap. Apart from socioeconomic factors such as income, occupation and education, individual’s energy-conserving habits and attitudes, awareness of energy-efficiency measures and perceptions are other important factors found to have a significant negative impact on the size of the EEG. This is particularly important for the designing of information programs by policymakers for promoting energy-efficiency choices in view of the change that is required in the behavior and attitudes of the households.

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Dobromirescu, Cristian, and Valeriu Vilag. "Energy conversion and efficiency in turboshaft engines." E3S Web of Conferences 85 (2019): 01001. http://dx.doi.org/10.1051/e3sconf/20198501001.

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This paper discusses the methods of energy conversion in a turboshaft engine. Those methods cover the thermodynamic cycle and the engine performances, the possible energy sources and their impact on environment as well as the optimal solutions for maximum efficiency in regards to turbine design and application. The paper also analyzes the constructive solutions that limit the efficiency and performances of turboshaft engines. For the purpose of this paper a gas-turbine design task is performed on an existing engine to appreciate the methods presented. In the final part of this paper it is concluded that in order to design an engine it is necessary to balance the thermodynamic aspects, for maximum efficiency, and the constructive elements, so that the engine can be manufactured.

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Titova, Tamila, and Andrey Evstafev. "Energy efficiency improvement of locomotives with energy storages." Proceedings of Petersburg Transport University, no. 2 (2017): 200–210. http://dx.doi.org/10.20295/1815-588x-2017-2-200-210.

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Objective: The development of hybrid technologies is an aspect that carries serious changes for the railway industry, its design and technological base. These changes provide the scientific and technological breakthroughs to a much greater extent than the implementation of any new projects in traditional forms. Methods: Of great interest is the solution to the problem of hybrid locomotives and related power supply interaction. In addition, there are problems of quality and reliability of the rolling stock. The relationship between the three sets of technology, as well as the problem of support quality of the latter, becomes essential for the successful implementation of hybrid locomotives with a combined power plant. Results: The primary problems of locomotive projects in question are: electric power storage, in-depth modernization of the traction drive, and implementation of an optimal motion control algorithms in different modes. Increasing energy density stored in the traction battery, while reducing vehicle mass, ensures competitive advantages of eco-friendly hybrid locomotives versus traditional. The cost of the traction battery tends to dominate over the relevant economic parameters of other components of the traction drive hybrid locomotives, therefore, projects with a high technological level are relevant, while ensuring lower total weight of the vehicle. However, in the last decade, due to the increasing importance of electronic components in the transportation industry, along with the objectives stated above, problems of management optimization of rolling stock systems and provision of an appropriate level of quality control take center stage. Issues of energy storage application in the hybrid locomotive and their advantages over the currently used energy sources are considered in the article. Practical importance: It is shown that the use of a hybrid energy storage system will significantly increase the efficiency and reliability of the locomotive.

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Xiang, Lanhua, Hongbin Chen, and Feng Zhao. "Area Spectral Efficiency and Energy Efficiency Tradeoff in Ultradense Heterogeneous Networks." Wireless Communications and Mobile Computing 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/4390197.

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In order to meet the demand of explosive data traffic, ultradense base station (BS) deployment in heterogeneous networks (HetNets) as a key technique in 5G has been proposed. However, with the increment of BSs, the total energy consumption will also increase. So, the energy efficiency (EE) has become a focal point in ultradense HetNets. In this paper, we take the area spectral efficiency (ASE) into consideration and focus on the tradeoff between the ASE and EE in an ultradense HetNet. The distributions of BSs in the two-tier ultradense HetNet are modeled by two independent Poisson point processes (PPPs) and the expressions of ASE and EE are derived by using the stochastic geometry tool. The tradeoff between the ASE and EE is formulated as a constrained optimization problem in which the EE is maximized under the ASE constraint, through optimizing the BS densities. It is difficult to solve the optimization problem analytically, because the closed-form expressions of ASE and EE are not easily obtained. Therefore, simulations are conducted to find optimal BS densities.

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Zhang, Jing, Qingjie Zhou, Derrick Ng, and Minho Jo. "Optimal Energy Efficiency Fairness of Nodes in Wireless Powered Communication Networks." Sensors 17, no. 9 (September 15, 2017): 2125. http://dx.doi.org/10.3390/s17092125.

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Lutska, N. "ENERGY EFFICIENCY OF ROBUST-OPTIMAL SYSTEMS OF CONTROL OF TECHNOLOGICAL OBJECTS." Scientific Works of National University of Food Technologies 24, no. 6 (December 2018): 16–23. http://dx.doi.org/10.24263/2225-2924-2018-24-6-4.

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Ribeiro, Marco A., Iago A. Carvalho, Omar P. Vilela Neto, and Jeferson F. Chaves. "Optimal Energy Efficiency and Throughput on Partially Reversible Pipelined QCA Circuits." IEEE Design & Test 37, no. 3 (June 2020): 40–50. http://dx.doi.org/10.1109/mdat.2019.2952355.

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Nguyen, Hiep H., Suk-Hwan Lee, and Won-Joo Hwang. "Optimal resource allocation for energy efficiency in coordinated multicell OFDMA networks." International Journal of Communication Systems 28, no. 14 (October 1, 2014): 2020–34. http://dx.doi.org/10.1002/dac.2842.

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Tuysuz, Mehmet Fatih. "Towards providing optimal energy-efficiency and throughput for IEEE 802.11 WLANs." International Journal of Communication Systems 31, no. 13 (June 13, 2018): e3725. http://dx.doi.org/10.1002/dac.3725.

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Moorthy, Yamuna K., and Sakuntala S. Pillai. "Optimal sensing duration for interweave cognitive radios based on energy efficiency." International Journal of Innovation and Sustainable Development 12, no. 3 (2018): 350. http://dx.doi.org/10.1504/ijisd.2018.091535.

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Moorthy, Yamuna K., and Sakuntala S. Pillai. "Optimal sensing duration for interweave cognitive radios based on energy efficiency." International Journal of Innovation and Sustainable Development 12, no. 3 (2018): 350. http://dx.doi.org/10.1504/ijisd.2018.10012690.

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Perera, Lokukaluge P., Brage Mo, and Leifur A. Kristjánsson. "Identification of Optimal Trim Configurations to improve Energy Efficiency in Ships." IFAC-PapersOnLine 48, no. 16 (2015): 267–72. http://dx.doi.org/10.1016/j.ifacol.2015.10.291.

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45

Ye, Xianming, Xiaohua Xia, and Jiangfeng Zhang. "Optimal sampling plan for clean development mechanism energy efficiency lighting projects." Applied Energy 112 (December 2013): 1006–15. http://dx.doi.org/10.1016/j.apenergy.2013.05.064.

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Fernandes, João F. P., Modesto Pérez-Sánchez, F. Ferreira da Silva, P. Amparo López-Jiménez, Helena M. Ramos, and P. J. Costa Branco. "Optimal energy efficiency of isolated PAT systems by SEIG excitation tuning." Energy Conversion and Management 183 (March 2019): 391–405. http://dx.doi.org/10.1016/j.enconman.2019.01.016.

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Andro-Vasko, James, Wolfgang Bein, and Hiro Ito. "Energy Efficiency and Renewable Energy Management with Multi-State Power-Down Systems." Information 10, no. 2 (January 29, 2019): 44. http://dx.doi.org/10.3390/info10020044.

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A power-down system has an on-state, an off-state, and a finite or infinite number of intermediate states. In the off-state, the system uses no energy and in the on-state energy it is used fully. Intermediate states consume only some fraction of energy but switching back to the on-state comes at a cost. Previous work has mainly focused on asymptotic results for systems with a large number of states. In contrast, the authors study problems with a few states as well as systems with one continuous state. Such systems play a role in energy-efficiency for information technology but are especially important in the management of renewable energy. The authors analyze power-down problems in the framework of online competitive analysis as to obtain performance guarantees in the absence of reliable forecasting. In a discrete case, the authors give detailed results for the case of three and five states, which corresponds to a system with on-off states and three additional intermediate states “power save”, “suspend”, and “hibernate”. The authors use a novel balancing technique to obtain optimally competitive solutions. With this, the authors show that the overall best competitive ratio for three-state systems is 9 5 and the authors obtain optimal ratios for various five state systems. For the continuous case, the authors develop various strategies, namely linear, optimal-following, progressive and exponential. The authors show that the best competitive strategies are those that follow the offline schedule in an accelerated manner. Strategy “progressive” consistently produces competitive ratios significantly better than 2.

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Hamed, Abdulbaset M., and Raveendra K. Rao. "Spectral and Energy Efficiencies in mmWave Cellular Networks for Optimal Utilization." Wireless Communications and Mobile Computing 2018 (2018): 1–11. http://dx.doi.org/10.1155/2018/3097094.

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Millimeter wave (mmWave) spectrum has been proposed for use in commercial cellular networks to relieve the already severely congested microwave spectrum. Thus, the design of an efficient mmWave cellular network has gained considerable importance and has to take into account regulations imposed by government agencies with regard to global warming and sustainable development. In this paper, a dense mmWave hexagonal cellular network with each cell consisting of a number of smaller cells with their own Base Stations (BSs) is presented as a solution to meet the increasing demand for a variety of high data rate services and growing number of users of cellular networks. Since spectrum and power are critical resources in the design of such a network, a framework is presented that addresses efficient utilization of these resources in mmWave cellular networks in the 28 and 73 GHz bands. These bands are already an integral part of well-known standards such as IEEE 802.15.3c, IEEE 802.11ad, and IEEE 802.16.1. In the analysis, a well-known accurate mmWave channel model for Line of Sight (LOS) and Non-Line of Sight (NLOS) links is used. The cellular network is analyzed in terms of spectral efficiency, bit/s, energy efficiency, bit/J, area spectral efficiency, bit/s/m2, area energy efficiency, bit/J/m2, and network latency, s/bit. These efficiency metrics are illustrated, using Monte Carlo simulation, as a function of Signal-to-Noise Ratio (SNR), channel model parameters, user distance from BS, and BS transmission power. The efficiency metrics for optimum deployment of cellular networks in 28 and 73 GHz bands are identified. Results show that 73 GHz band achieves better spectrum efficiency and the 28 GHz band is superior in terms of energy efficiency. It is observed that while the latter band is expedient for indoor networks, the former band is appropriate for outdoor networks.

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Langer, Akhil, Ehsan Totoni, Udatta Palekar, and Laxmikant V. Kalé. "Energy-optimal configuration selection for manycore chips with variation." International Journal of High Performance Computing Applications 31, no. 5 (October 13, 2016): 451–66. http://dx.doi.org/10.1177/1094342016672082.

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Operating chips at high energy efficiency is one of the major challenges for modern large-scale supercomputers. Low-voltage operation of transistors increases the energy efficiency but leads to frequency and power variation across cores on the same chip. Finding energy-optimal configurations for such chips is a hard problem. In this work, we study how integer linear programming techniques can be used to obtain energy-efficient configurations of chips that have heterogeneous cores. Our proposed methodologies give optimal configurations as compared with competent but sub-optimal heuristics while having negligible timing overhead. The proposed ParSearch method gives up to 13.2% and 7% savings in energy while causing only 2% increase in execution time of two HPC applications: miniMD and Jacobi, respectively. Our results show that integer linear programming can be a very powerful online method to obtain energy-optimal configurations.

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Walnum, Harald Taxt, Marius Bagle, Åse Lekang Sørensen, and Selamawit Mamo Fufa. "Cost optimal investment in energy efficiency measures and energy supply system in a neighbourhood in Norway." E3S Web of Conferences 246 (2021): 05005. http://dx.doi.org/10.1051/e3sconf/202124605005.

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Building renovation is a key measure to reduce energy consumption and Greenhouse gas (GHG) emissions, and ease the transition to a fully renewable energy system. This paper applies the IEA EBC Annex 75 methodology for investigating the cost optimal and environmental trade-off between investment in energy efficiency measures on the building envelope and energy supply, on a residential neighbourhood in Norway. Combination of different energy efficiency measures and energy supply systems are investigated with an optimal investment model. The cost and environmental impact of the combinations are evaluated. An important outcome is that within the evaluated combinations, the choice of energy supply system has little impact on the cost effectiveness of the energy efficiency measures. However, it has a significant impact on the GHG emissions. The results also highlight the importance of performing energy efficiency measures in coordination with other renovating measures, both regarding cost effectiveness and environmental impact. The results will not give a finite answer to what is the best solution but serves at a useful set of inputs for overall evaluations.

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