To see the other types of publications on this topic, follow the link: Optimal energy efficiency.
Journal articles on the topic 'Optimal energy efficiency'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Optimal energy efficiency.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
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.
Full text
2
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.
Full text
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.
Full text
4
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.
Full textAbstract:
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.
5
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.
Full textAbstract:
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.
6
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.
Full textAbstract:
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.
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.
Full text
8
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.
Full text
9
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.
Full textAbstract:
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.
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.
Full textAbstract:
<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). Four continuous estimators are included to estimate Ed, Em, Hd and Hm: Estimated losses due to temperature and low irradiance (ESLOTEM), estimated loss due to angular reflection effect (ESLOANGREF), combined photovoltaic system loss (COMPVLOSS) and rated power of the photovoltaic system (PPVS). Four prediction models as constructed by implementing the MARS algorithm, have been obtained by applying the smallest generalized cross-validation (GCV) criterion where the means of penalty are defined as 1 and the backward pruning method for the package "earth" of R software is used. As a result, it can be suggested that the procedure of the MARS algorithm, which achieves the greatest predictive accuracy of 100% or nearly 100%, permits researchers to obtain some remarkable hints for ascertaining predictors that affect solar irradiation parameters. The coefficient of determination denoted as R<sup>2</sup> was estimated at the highest predictive accuracy to be nearly 1 for Ed, Em, Hd and Hm while the GCV values were found to be 0.000009, 0.018908, 0.000013 and 0.019021, respectively. The estimated results indicate that four MARS models with the first degree interaction effect have the best predictive performances for verification with the lowest GCV value.</p> </abstract>
11
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.
Full textAbstract:
<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>
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.
Full textAbstract:
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.
13
Janssen, Eddy. "Energy saving and efficiency." EPJ Web of Conferences 246 (2020): 00015. http://dx.doi.org/10.1051/epjconf/202024600015.
Full textAbstract:
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.
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.
Full text
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.
Full text
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.
Full text
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.
Full textAbstract:
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 as well as an additional ensembling level that further mitigates prediction uncertainty. The proposed models are empirically evaluated using a database of various, diverse energy efficiency renovation investments. Results indicate that the ensemble model outperforms the three individual models in terms of forecasting accuracy. Also, the generated predictions are relatively accurate for all the examined project categories, a finding that supports the robustness of the proposed approach.
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.
Full textAbstract:
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.
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.
Full textAbstract:
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 optimization (PSO) algorithm in solving the optimal scheduling strategy. The cooling, heating, and power demands of an industrial park and WPG in typical days are employed to the simulation. The scheduling results of exergy input of SAA are far less than those of PSO in typical days of different seasons. The multienergy system without AA-CAES is also modeled, and energy-saving economic scheduling is carried out. The exergy efficiency of the system with AA-CAES is between 38% and 58% while the exergy efficiency of the system without AA-CAES is merely between 27% and 48%.
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.
Full textAbstract:
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.
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.
Full textAbstract:
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.
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.
Full textAbstract:
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 properties. Characterization studies of MXenes examine their electrochemical properties, structure, surface, and physicochemical behavior to understand the underlying energy conversion mechanisms and optimize their performance. Applications of MXenes in energy storage and conversion systems include their use in solar cells, thermoelectric devices and batteries. MXenes have high conductivity, mechanical strength, and chemical stability, making them attractive for these applications. Continued research is needed to more fully understand the physical and chemical properties of MXenes and to develop optimal synthesis and application methods to achieve maximum energy conversion efficiency.
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.
Full textAbstract:
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.
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.
Full textAbstract:
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 fitted with the Rusch formula. The strain rate does not change the shape of stress−strain curve, and has little influence on the elastic modulus. There exists the optimal density of EVA foam corresponding to its maximum energy absorption efficiency. Under a fixed strain rate, the optical energy absorption per unit volume is proportional to the optical stress on the envelope line in the energy absorption diagrams of EVA foams with different densities. The change in strain rate leads to the envelope line in the energy absorption diagrams of EVA foams with a given density having the larger slope and a negative intercept where the optical energy absorption per unit volume relies linearly on the optical stress. The empirical formulas of elastic modulus, yield strength, optimal strain, and envelope lines and their slopes are derived from the tested results.
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.
Full textAbstract:
<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 low energy consumption, a robust energy efficiency optimization strategy is proposed based on a fixed-wing UAV, addressing the energy efficiency of emergency communication in imprecise user locations. First, the air-to-ground channel model is established, taking into account UAV propulsion energy consumption and formulating a multi-constraint problem to maximize emergency energy efficiency. Second, by incorporating the circular region method to address location uncertainty and considering the worst-case scenario, a robust problem is formulated. Finally, the worst-case scenario is addressed by utilizing the first-order Taylor approximation and successive convex approximation (SCA) technique to solve the nonconvex problem. Through simulation experiments, the proposed scheme is compared with three benchmark schemes, demonstrating its superior energy efficiency and robustness.</p> <p>&nbsp;</p>
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.
Full textAbstract:
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 coverage of the heat load schedule of a cottage settlement based on local energy resources. For the calculation, the predicted values of the installed thermal power of the units and the heat load graph which was obtained by adapting the real annual graph of the external temperature of Stockholm to the geographical location of the Kyiv region were used. The developed new software and information complex provide an opportunity for hourly modeling, research into the optimal modes of operation of heat units, and evaluation of the effectiveness of the use of renewable energy sources in autonomous heat supply systems. In the developed software and information complex, the model of optimization of operating modes is applied, which belongs to the class of problems of optimal loading of generating capacities of power systems with the criterion of minimizing costs for production, accumulation, and consumption of thermal energy. An example of simulation results using a heat load schedule for a selected typical day is presented. The obtained results indicate a decrease in the specific cost of hourly heat supply with an increase in the part of thermal energy supplied at the expense of renewable energy sources. This is due to a decrease in the share of gas, and in general, any other generation based on fossil fuel technologies, in the total volume of heat supply. Thus, the effectiveness of the use of renewable energy sources based on local energy resources as part of the heat supply system of the cottage village was confirmed. Keywords: autonomous heat supply, the efficiency of renewable energy sources based on local energy resources.
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.
Full textAbstract:
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. While higher irradiance increases efficiency by providing more photons for conversion, it can also raise temperatures, negatively impacting performance. Solar panels achieve maximum efficiency under optimal irradiance and moderate temperatures, typically 1000 W/m² at 25°C. Variations in irradiance due to geographical location, time of day, and weather conditions cause fluctuations in power output. Efficient system design must consider local irradiance patterns and utilize tracking systems to maintain optimal panel orientation. To optimize efficiency, innovative methods such as advanced materials, cooling techniques, and smart tracking systems are employed. Additionally, integrating energy storage solutions and predictive analytics helps manage environmental impacts. Proper design, installation, and maintenance strategies are crucial for maximizing solar panel efficiency and lifespan under varying conditions. Understanding the interplay between temperature and irradiance is essential for advancing solar energy technologies, and enhancing their reliability and effectiveness in diverse environments.
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.
Full textAbstract:
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.
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.
Full textAbstract:
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 provide mechanical energy or for transportation, uses air currents that are created by solar heated air and the rotation of the earth. Today wind turbines convert wind power into electricity as well as its traditional uses. Even hydroelectricity is derived from the sun. Hydropower depends on the evaporation of water by the sun, and its subsequent return to the Earth as rain to provide water in dams. Photovoltaics (often abbreviated as PV) is a simple and elegant method of harnessing the sun's energy. PV devices (solar cells) are unique in that they directly convert the incident solar radiation into electricity, with no noise, pollution or moving parts, making them robust, reliable and long lasting as well.
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.
Full textAbstract:
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.
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.
Full textAbstract:
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. By calculating the energy captured per unit width of the device, the energy efficiency was found to be up to 138%. The optimal energy conversion efficiencies were achieved when the structure length was 0.25, 0.5 or 0.75 of the dominating wavelength and submerged at a corresponding suitable depth. The aspect ratio and maximum stress inside the wave energy converter showed a nonlinear trend, with potential optimal points revealed. The simulation approach and results support the future design and optimisation of flexiable wave energy converters or other marine structures with notable deformations.
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.
Full text
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.
Full textAbstract:
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 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.
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.
Full textAbstract:
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.
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.
Full text
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.
Full text
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.
Full text
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.
Full textAbstract:
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 coefficients, while the PIDFC ensures precise tracking of the optimized gaps and effectively addresses disturbances arising from aerodynamic variations. The results show that the proposed ESC with PIDFC converged to the optimal distance gaps 37.14% faster than the ESC with PPC, within a steady-state error of ±1%. Additionally, it improved the computational efficiency by 70.6%, compared to the ESC with PPC. Furthermore, it reduced the energy consumption by 15.3%, compared to the fixed-gap approach. These findings demonstrate the framework’s potential to enhance the energy efficiency, scalability, and practicality, advancing sustainable and autonomous transportation systems.
39
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.
Full textAbstract:
<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 channel contains a stagnant fluid, which acts as a heat shield, while the lower, open channel ensures the continuous circulation or evacuation of heat transfer air. A copper metal plate separates the two channels. We examined the impact of various fluids employed as heat shields, including neon, argon, and xenon, in comparison to air, on the thermal and electrical performance of the collector. We employed numerical modeling of convective and conductive transfers to assess the average thermal efficiency of the BFPVT and the rise in PV temperature in the analyzed configuration. The equations were discretized using the implicit finite difference method and solved using the Thomas and Gauss-Seidel algorithms. The results demonstrated an 18% enhancement in thermal efficiency with the utilization of neon. In contrast, the employment of argon and xenon markedly reduced the mean temperature of photovoltaic cells by 4.82 ℃ and 4.87 ℃, respectively. This led to an increase in their electrical efficiency by 0.33% in comparison to air. Thus, argon is regarded as the optimal choice for optimizing electrical efficiency, taking into account both economic and environmental considerations.</p>
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.
Full textAbstract:
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.
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.
Full textAbstract:
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.
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.
Full textAbstract:
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 reliability. Findings offer insights for designing intelligent grid systems that can dynamically respond to fluctuating energy inputs while maintaining stability. Keywords: Renewable energy, grid integration, optimal control, model predictive control, machine learning, energy efficiency
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.
Full textAbstract:
<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 algorithm to optimize the scheduling strategy. The results indicate that the model demonstrates significant advantages in terms of carbon emission, total operating cost, prediction accuracy, and energy utilization efficiency, respectively, at 60.8 kg, 2517.5 yuan, 96.5%, and 90.2%, indicating that it utilizes energy more fully and helps to enhance the overall energy efficiency of the system. The calculation time of the optimized power system was only 12.5 s, the stability was as high as 98.7%, and the satisfaction rate was 95.6% in terms of user satisfaction. Compared to other contemporary designs, the proposed model can successfully reduce the system's carbon emissions while increasing energy efficiency. The model has positive implications for smart grid and sustainable development.</p>
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.
Full textAbstract:
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 method, Monte Carlo algorithm and HFLCAL calculation model. Then, considering the optimal layout scheme of the heliostat field, the EB layout is used to establish the basic layout of the heliostat field, and the heliostat with high comprehensive optical efficiency and meeting the actual use requirements is selected by the step-by-step traversal algorithm. Subsequently, the heliostat height, heliostat width, installation height and heliostat installation height difference between adjacent areas are introduced into the optimization model as particles, and then the PSO-GA hybrid optimization algorithm is used to approximate the optimal design of the SPT system. The goal of optimizing the comprehensive optical efficiency of the heliostat field and the output thermal power per unit area of the SPT system is achieved.
45
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.
Full textAbstract:
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 subsidy, the rated capacity and rated power of the energy storage are set to optimize the optimal situation, and the composition of the annual investment cost of the microgrid is analyzed when the two are increased by 40 %. The results indicate that configuring the microgrid with optimal energy storage can significantly reduce power purchase costs and increase the percentage of photovoltaic power generation. However, decreasing the energy storage system’s rated capacity and rated power will lead to higher purchase costs, reduced economic efficiency, and diminished environmental protection benefits.
46
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.
Full textAbstract:
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
47
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.
Full textAbstract:
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 yang berfokus dengan luas bangunan gedung STP sekitar 720.63 m2. Metode yang digunakan dalam penelitian ini adalah metode campuran (Mixed Method Research), Hasil dari penelitian diperoleh IKE pada kWh gedung Sumbawa Techno Park (STP) sebesar 69,93 kWh/m2/tahun. Nilai tersebut termasuk dalam kategori efisien menurut standar nilai IKE ASEAN-USAID yakni untuk gedung jenis perkantoran nilai IKE maksimum adalah 240 kWh/m2/tahun. Pada ruangan ber-AC diperoleh nilai rata-rata IKE sebesar 34,20 kWh/m2/bulan. Sedangkan pada ruangan tidak ber-AC diperoleh nilai rata-rata IKE sebesar 0,80 kWh/m2/bulan. Nilai IKE pada ruangan ber-AC dan tidak ber-AC masing-masing termasuk dalam kategori cukup efisien dan sangat efisien menurut permen ESDM No. 13/2012. Optimal Energy Utilization: Analyzing Electrical Efficiency in the Sumbawa Techno Park Building Abstract The level of consumption and distribution of electrical energy must be balanced and efficient. However, not all sectors or buildings can meet the specified efficiency levels. Sumbawa Techno Park (STP) Building, Sumbawa University of Technology, as a medium-level consumer of electrical energy, would need to analyze energy-saving opportunities, to determine the level of energy consumption efficiency. This research aims to analyze energy savings opportunities carried out through short energy audits guided by Minister of Energy and Mineral Resources Regulation No. 13/2012 concerning the initial electrical energy audit which focuses on the STP building area of around 720.63 m2. The method used in this research is mixed (Mixed Method Research). The results of the research obtained IKE on the kWh of the Sumbawa Techno Park (STP) building of 69.93 kWh/m2/year. This value is included in the efficient category according to the ASEAN-USAID IKE value standard, namely for office-type buildings the maximum IKE value is 240 kWh/m2/year. In an air-conditioned room, the average IKE value was 34.20 kWh/m2/month. Meanwhile, in non-air-conditioned rooms, the average IKE value was 0.80 kWh/m2/month. The IKE values for air-conditioned and non-air-conditioned rooms are respectively included in the quite efficient and very efficient categories according to ESDM regulation no. 13/2012.
48
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.
Full textAbstract:
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%.
49
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.
Full textAbstract:
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 is theoretically obtained using the Lambert function. Then, according to the given value range of the optimal time switching factor, the optimal power distribution scheme is obtained by analyzing the derivative function of the system energy efficiency and using the properties of the Lambert function. The time-switching factor and transmission power are optimally selected at the wireless power supply FD relay. Results reveal that the performance of energy efficiency of the dual-antenna energy harvesting at the FD relay outperforms that of the single-antenna. Moreover, our results demonstrate that FD relay systems always substantially boost the energy efficiency compared with half-duplex (HD) relay systems.
50
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.
Full textAbstract:
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 arrays and the related components of the system state. The algorithm of the step-by-step procedure of the minimum principle was used to optimize the dynamic processes in the vibration protection system with indirect control of the viscous resistance damper and the potential energy recuperator. It has been established that the optimal controls that allow eliminating resonant phenomena in these systems are positional functions of a singular type, the relay switching of which in vibration protection systems with a controlled damper and recuperator is associated with a change in the sign of the absolute and relative velocity of the object and with a change in the sign of the velocity and relative displacement of the object.