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Journal articles on the topic 'Optimal energy efficiency'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

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

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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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3

Kumar, Ch Lakshmi, J. RaviKiran, and P. Komal Sai Charan. "Survey on Optimal Ship Routing Algorithms: Enhancing Energy Efficiency and Operational Performance." International Journal of Research Publication and Reviews 6, no. 4 (2025): 4473–88. https://doi.org/10.55248/gengpi.6.0425.1473.

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Mlinarić, Tomislav Josip, and Klemen Ponikvar. "Energy Efficiency of Railway Lines." PROMET - Traffic&Transportation 23, no. 3 (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

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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 (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 proce

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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 (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

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7

Takeuchi, Keigo. "Spatial Modulation Achieves Information-Theoretically Optimal Energy Efficiency." IEEE Communications Letters 19, no. 7 (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 (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-C

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10

Sahin, Gokhan, and W. G. J. H. M. Van Wilfried Sark. "Estimation of most optimal azimuthal angles for maximum PV solar efficiency using multivariate adaptive regression splines (MARS)." AIMS Energy 11, no. 6 (2023): 1328–53. http://dx.doi.org/10.3934/energy.2023060.

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<abstract> <p>The aim of this study was to build a regression model of solar irradiation in the Kulluk region of Turkey by using the multivariate adaptive regression splines (MARS) technique. Using the well-known data mining algorithm, MARS, this study has explored a convenient prediction model for continuous response variables, i.e., average daily energy production from the given system (Ed), average monthly energy production from given system (Em), average daily sum of global irradiation per square meter (Hd) and average annual sum of global irradiation per square meter (Hm). Fou

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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 (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

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12

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 (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 redistrib

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13

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 gr

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14

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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15

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

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16

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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17

Sarmas, Elissaios, Evangelos Spiliotis, Nikos Dimitropoulos, Vangelis Marinakis, and Haris Doukas. "Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models." Applied Sciences 13, no. 4 (2023): 2749. https://doi.org/10.3390/app13042749.

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Energy efficiency financing is considered among the top priorities in the energy sector among several stakeholders. In this context, accurately estimating the energy savings achieved by energy efficiency actions before being approved and implemented is of major importance to ensure the optimal allocation of the available financial resources. This study aims to provide a machine-learningbased methodological framework for a priori predicting the energy savings of energy efficiency renovation actions. The proposed solution consists of three tree-based algorithms that exploit bagging and boosting

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18

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

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19

Wu, Chenxi, Hanxiao Hong, Suoyin Ni, and Y. L. Lou. "Optimal Scheduling of Multi-energy System Considering Economy and Energy Conservation." International Transactions on Electrical Energy Systems 2023 (April 8, 2023): 1–22. http://dx.doi.org/10.1155/2023/7197676.

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In recent years, the optimal scheduling of multienergy has become the focus of the research. Against this background, this paper builds a model of a multienergy flow system of cooling, heating, and power, and advanced adiabatic compressed air energy storage (AA-CAES) is introduced to smooth wind power generation (WPG) and supply heating/cooling energy. Simulated annealing algorithm (SAA) is employed to energy-saving scheduling of the system with “exergy assessment” method. The energy-saving index and the exergy efficiency are compared in different cases. SAA is compared with the particle swarm

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20

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 fr

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21

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 (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 col

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22

Dzhusambaev, M. T., K. Askaruly, K. B. Shakenov, S. Azat, and U. Zhantikeev. "IMPROVING ENERGY CONVERSION USING MXENES: EFFICIENCY ANALYSIS." NNC RK Bulletin, no. 4 (December 29, 2023): 32–39. http://dx.doi.org/10.52676/1729-7885-2023-4-32-39.

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Maximizing energy conversion efficiency is a major goal in the field of sustainable energy systems. In recent years, MXenes, a new class of two-dimensional materials, have attracted much attention in the context of improving energy conversion efficiency. This literature review provides an overview of the current state of energy research on MXenes, including their synthesis, characterization, and applications in energy storage and conversion systems. There are various methods for the synthesis of MXenes that are being developed to obtain materials with optimal structural and electrochemical pro

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23

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 gr

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24

Chen, Hongjuan, Deqiang Sun, Lulu Gao, Xiaochen Liu, and Meilin Zhang. "Mechanical Behavior of Closed-Cell Ethylene-Vinyl Acetate Foam under Compression." Polymers 16, no. 1 (2023): 34. http://dx.doi.org/10.3390/polym16010034.

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The static and dynamic compressions of closed-cell ethylene-vinyl acetate (EVA) foams with different densities were conducted under various strain rates. The stress−strain curves were processed to determine the corresponding curves of energy absorption per unit volume and energy absorption efficiency, and energy absorption diagrams were produced. The influences of density and strain rate on the elastic modulus, yield strength, energy absorption per unit volume, optimal strain, densification strain, and energy absorption diagrams were analyzed and discussed. The whole stress−strain curve can be

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25

Jia-Rong Cao, Jia-Rong Cao, Wei Wang Jia-Rong Cao, Na Xu Wei Wang, Wen-Ting Su Na Xu, Long-Xing Xing Wen-Ting Su, and Jia-Tao Su Long-Xing Xing. "Robust Energy Efficiency Optimization Strategy for Emergency Communication Based on Fixed-Wing UAV." 電腦學刊 35, no. 2 (2024): 037–57. http://dx.doi.org/10.53106/199115992024043502003.

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<p>The geographic location information of a user serves as the foundation for post-disaster emergency applications. However, uncertainties in the user positioning may arise due to factors such as building obstruction and damage to ground base stations. To ensure optimal communication quality, unmanned aerial vehicles (UAVs) can be implemented to maintain close proximity to the user with a minimal turning radius. However, a small turning radius can result in increased energy consumption due to propulsion requirements. To achieve an optimal balance between high communication throughput and

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26

Denysov, Viktor. "EFFICIENCY OF THE RENEWABLE ENERGY SOURCES APPLICATION FOR AN AUTONOMOUS HEAT SUPPLY SYSTEM." System Research in Energy 2023, no. 1 (2023): 80–87. http://dx.doi.org/10.15407/srenergy2023.01.080.

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Description of the developed software and information complex for modeling autonomous heat supply systems provided, which allows optimizing the selection of units and their operation modes and ensuring the production and redistribution of thermal energy in accordance with the schedule of consumers. Optimized modes simulation operation of the autonomous heat supply system for a cottage village based on local energy resources with minimal use of external energy sources performed. The use of software and information complex made it possible to calculate the parameters that provide optimal coverag

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27

Richard, Kiiza, Kelechi John Ukagwu, and Wisdom Okafor. "Factors Influencing the Efficiency of Solar Energy Systems." Journal of Engineering, Technology, and Applied Science (JETAS) 6, no. 3 (2024): 119–31. https://doi.org/10.36079/lamintang.jetas-0603.748.

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The efficiency of solar panels is significantly influenced by temperature and irradiance, which are crucial in solar energy conversion. As temperatures rise, solar panel efficiency typically decreases due to increased electrical resistance, resulting in lower output voltage and power production. This efficiency loss is quantified by the temperature coefficient, indicating the drop per degree Celsius above 25°C. Advanced cooling systems and optimal thermal management can mitigate these effects. Irradiance, the sunlight intensity reaching the panels, directly affects electricity generation. Whil

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28

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 (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

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29

Sharma, Aditya, and Geeta Singh. "Optimal Site Selection and Efficiency for Solar PV Power Plant." International Journal of Advance Research and Innovation 6, no. 1 (2018): 15–26. http://dx.doi.org/10.51976/ijari.611804.

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Solar energy is one form or another is the source of all energy on the earth. Humans, like all other animals and plants, rely on the sun for warmth and food. World widely peoples are also harness the sun's energy in many other different ways. For example, fossil fuels, plant matter from a past geological age, is used for transportation and electricity generation and is essentially just stored solar energy from millions of years ago. Similarly, biomass converts the sun's energy into a fuel, which can then be used for heat, transport or electricity. Wind energy is used for hundreds of years to p

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30

Bulić, Patricio, Gašper Kojek, and Anton Biasizzo. "Data Transmission Efficiency in Bluetooth Low Energy Versions." Sensors 19, no. 17 (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 increa

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31

Luo, Chen, and Luofeng Huang. "Energy Efficiency Analysis of a Deformable Wave Energy Converter Using Fully Coupled Dynamic Simulations." Oceans 5, no. 2 (2024): 227–43. http://dx.doi.org/10.3390/oceans5020014.

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Deformable wave energy converters have significant potential for application as flexible material that can mitigate structural issues, while how to design the dimensions and choose an optimal deployment location remain unclear. In this paper, fully coupled computational fluid dynamics and computational solid mechanics were used to simulate the dynamic interactions between ocean waves and a deformable wave energy converter. The simulation results showed that the relative length to wave, deployment depth and aspect ratio of the device have significant effects on the energy conversion efficiency.

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32

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 (2021): 816–31. http://dx.doi.org/10.1109/tgcn.2021.3059206.

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33

Alvandi, Samira. "Energy Efficiency Improvement through Optimal Batch Sizing in Job Shop." Modern Applied Science 14, no. 10 (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&rsquo;s) by

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34

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 (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 prop

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35

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

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36

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

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37

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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38

Maarouf, Ali, Yasser Bin Salamah, and Irfan Ahmad. "Decentralized Control Framework for Optimal Platoon Spacing and Energy Efficiency." Electronics 14, no. 1 (2025): 169. https://doi.org/10.3390/electronics14010169.

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This study introduces a decentralized control framework designed to improve energy efficiency in vehicle platooning by optimizing inter-vehicle gaps to minimize aerodynamic drag, a significant factor in energy consumption. The proposed framework integrates extremum seeking control (ESC), a proportional integral derivative controller with feedforward compensation (PIDFC), and an extended state observer for estimating aerodynamic drag coefficients. Through this integration, the ESC dynamically adjusts inter-vehicle gaps to minimize the drag force based on the estimated aerodynamic drag coefficie

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Toka, Kokou Aménuvéla, Yawovi Nougbléga, and Komi Apélété Amou. "Optimization of hybrid photovoltaic-thermal systems integrated into buildings: Impact of bi-fluid exchangers and filling gases on the thermal and electrical performances of solar cells." AIMS Energy 12, no. 5 (2024): 1075–95. http://dx.doi.org/10.3934/energy.2024051.

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<p>The low cooling efficiency of photovoltaic panels integrated into building façades restricts their electrical performance. The innovative approach of a dual-fluid photovoltaic-thermal system (BFPVT), incorporating bi-fluid cooling exchangers, appears to be a promising solution for jointly optimizing the electrical and thermal performance of PVT systems. However, despite the introduction of air heat shields to improve this performance, their limited efficiency makes them less competitive. We present a photovoltaic-thermal (PVT) system with a two-channel heat exchanger. The upper channe

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40

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 alg

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41

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 (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 ob

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42

Pasupuleti, Murali Krishna. "Optimal Control Strategies for Renewable Energy Grid Integration." International Journal of Academic and Industrial Research Innovations(IJAIRI) 05, no. 06 (2025): 35–44. https://doi.org/10.62311/nesx/rphcrefcs4.

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This study explores optimal control strategies for integrating renewable energy sources into power grids, addressing challenges such as intermittency, grid stability, and demand-supply mismatch. The methodology combines model predictive control, robust optimization, and load forecasting using machine learning algorithms. Data from solar and wind power outputs, along with historical grid demand, were analyzed to build regression and predictive models. The results demonstrate that adaptive control strategies significantly enhance energy efficiency, reduce operational costs, and improve reliabili

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43

Xiang, Kangli, Keren Chen, Simin Chen, Wanqing Chen, and Jinyu Chen. "Model for sustainable carbon emission reduction energy development and smart grid technology strategy." AIMS Energy 12, no. 6 (2024): 1206–24. http://dx.doi.org/10.3934/energy.2024055.

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<p>In the context of sustainable energy development to reduce carbon emissions, the application of new energy sources and smart grid technologies in power systems is becoming more widespread. However, current research results on power system technology strategies for carbon emission reduction are not satisfactory. To address this problem, a model for optimal power system operation and scheduling based on the prediction error mechanism and synthetic fuel technology is proposed. The model used the carbon trading mechanism to further reduce carbon emissions and the carnivorous plant algorit

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44

Xu, Kaiwen, Hui Xu, and Jihui Fan. "Research on optimization model based on heliostat field." Highlights in Science, Engineering and Technology 82 (January 26, 2024): 99–107. http://dx.doi.org/10.54097/1n27zh38.

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Tower solar power system (SPT) is a new type of clean energy technology with low carbon and environmental protection. In this context, it is very meaningful to explore how to arrange an efficient heliostat field and set the heliostat parameters, because the improvement here can improve the average optical efficiency of the heliostat field and collect thermal energy. In this paper, under the constraint of circular layout area, the solar energy transmission model of heliostat and the comprehensive optical efficiency model of heliostat field are established by coordinate system transformation met

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Xu, Weijun, Qian Lu, and Jing Wang. "Research on capacity optimization configuration of distributed photovoltaic energy storage system." Journal of Physics: Conference Series 2963, no. 1 (2025): 012027. https://doi.org/10.1088/1742-6596/2963/1/012027.

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Abstract It is necessary to configure the power grid with appropriately sized energy storage equipment to address both economic efficiency and the operation of the regional power grid in a safe and stable manner after large-scale power stations are generated by photovoltaic effect integration. Considering the energy model of energy storage, an optimal configuration method with the lowest annual investment cost of the regional microgrid as the objective function is proposed. In the case conditions, considering the operation investment cost of each device of the microgrid and the optical storage

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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 sim

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Darmawan, Indra, Masyitah Aulia, Desi Maulidyawati, and M. Surya Aqidah Akbar. "Pemanfaatan Energi Optimal: Manganalisis Efisiensi Listrik di Gedung Sumbawa Techno Park." Empiricism Journal 4, no. 2 (2023): 657–64. http://dx.doi.org/10.36312/ej.v4i2.1728.

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Tingkat konsumsi dan distribusi energi listrik harus seimbang dan efisien. Akan tetapi, tidak semua sektor atau bangunan mampu memenuhi tingkat efisiensi yang telah ditentukan. Gedung Sumbawa Techno Park (STP) Universitas Teknologi Sumbawa sebagai konsumen energi listrik tingkat menengah, kiranya perlu dilakukan analisis peluang penghematan energi, guna mengetahui tingkat efisiensi konsumsi energi. Tujuan dari penelitian ini adalah untuk menganalisis peluang penghematan energi yang dilakukan melalui audit energi singkat dengan panduan Permen ESDM No. 13/2012 tentang audit energi listrik awal y

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Zheng, Su Lu, Yun Yan Mao, Xiang Ping Wang, et al. "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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Song, Ni, Han, Qin, and Dong. "Time and Power Allocation for Energy Efficiency Maximization in Wireless-Powered Full-Duplex Relay Systems." Future Internet 11, no. 10 (2019): 205. http://dx.doi.org/10.3390/fi11100205.

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In this paper, we propose an optimal time and power allocation scheme in a wireless power supply full-duplex (FD) relay system, where we consider the number of relay antennas in the energy harvesting stage. At the same time, the energy efficiency optimization problem of the system is structured, where optimization issues related to time allocation factors and power allocation are established. For the FD dual-antenna and the FD single-antenna energy harvesting system, energy efficiency function is proven to be a concave function over the time-switch factor, and the optimal time-switching factor

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Chernyshev, V. I., R. N. Polyakov, and O. V. Fominova. "Controlled vibration protection systems: optimization and energy efficiency." VESTNIK of Samara University. Aerospace and Mechanical Engineering 22, no. 2 (2023): 116–26. http://dx.doi.org/10.18287/2541-7533-2023-22-2-116-126.

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The energy efficiency of controlled vibration protection systems is defined as the ratio of the vibration safety indicator they achieve to the cost of energy resources necessary to achieve the desired indicator. To solve the optimization problems of controlled vibration protection, a sufficient condition for the optimality of the accepted functional and, accordingly, the minimum principle, was used, the step-by-step implementation of which, in the course of numerical integration of the initial equations of the state of the system, makes it possible to reproduce the optimal control numeric arra

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