V. Nikulshin, V. Budarin, A. Denysova, V. Wysochin, A. Andryushchenko, S. Melnik
{"title":"Optimisation of energy supply net with a single energy source","authors":"V. Nikulshin, V. Budarin, A. Denysova, V. Wysochin, A. Andryushchenko, S. Melnik","doi":"10.1109/IEEECONF53624.2021.9668113","DOIUrl":null,"url":null,"abstract":"Optimization of energy supply net (ESN) can significantly increase their efficiency. A general approach to the thermoeconomic optimization of power supply networks with a single energy source is proposed. Typical examples of such networks are heat, water and gas supply systems. The developed method of ESN thermoeconomic optimizing on graphs and implemented algorithm are illustrated on a numerical example with arbitrary location of the energy source. The transition from existing power supply networks to optimized ones can significantly reduce the costs of their operation. Compared to the direct enumeration method, the search time for the optimum with this approach is reduced by more than 100 times. Bibl. 10, fig. 5.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Third International Sustainability and Resilience Conference: Climate Change","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEECONF53624.2021.9668113","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Optimization of energy supply net (ESN) can significantly increase their efficiency. A general approach to the thermoeconomic optimization of power supply networks with a single energy source is proposed. Typical examples of such networks are heat, water and gas supply systems. The developed method of ESN thermoeconomic optimizing on graphs and implemented algorithm are illustrated on a numerical example with arbitrary location of the energy source. The transition from existing power supply networks to optimized ones can significantly reduce the costs of their operation. Compared to the direct enumeration method, the search time for the optimum with this approach is reduced by more than 100 times. Bibl. 10, fig. 5.