Optimization and evaluation of operation strategies for regional distributed energy system
With the development of energy technologies, the electricity, cooling and heating are tightly connected to improve the overall efficiency of distributed energy systems. These systems satisfy simultaneously different energy demands at building level (hotels, offices and residential buildings). The op...
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doaj-265268f6d7d44e128032f8d97e44989e2021-04-02T10:48:32ZengEDP SciencesE3S Web of Conferences2267-12422020-01-011940101510.1051/e3sconf/202019401015e3sconf_icaeer2020_01015Optimization and evaluation of operation strategies for regional distributed energy systemYuan Jingyi0Li Miao1Liu Xiaoyu2Xu kun3School of Mechanical Engineering and Automation, Dalian Polytechnic UniversitySchool of Mechanical Engineering and Automation, Dalian Polytechnic UniversityKey Laboratory of Ocean Energy Utilization and Energy Conservation of Ministry of Education, Dalian University of TechnologyKuka flexible systems (Shanghai) co., LTDWith the development of energy technologies, the electricity, cooling and heating are tightly connected to improve the overall efficiency of distributed energy systems. These systems satisfy simultaneously different energy demands at building level (hotels, offices and residential buildings). The optimal capacity of technologies from numerous alternatives and optimal operating strategy as well as electricity network connection was investigated in this paper in order to achieve economic and environmental gains. A mixed integer linear programming model was also used for multi-objective optimization to minimize total cost and pollutant emissions. The results show that distributed energy system with electricity network as well as real time control can realize the better performance through multi-optimization from regional viewpoint. However, the results are on the contrary aiming at individual hotels and offices. The performance advancement of this system can only be reflected in residential buildings.https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/54/e3sconf_icaeer2020_01015.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yuan Jingyi Li Miao Liu Xiaoyu Xu kun |
spellingShingle |
Yuan Jingyi Li Miao Liu Xiaoyu Xu kun Optimization and evaluation of operation strategies for regional distributed energy system E3S Web of Conferences |
author_facet |
Yuan Jingyi Li Miao Liu Xiaoyu Xu kun |
author_sort |
Yuan Jingyi |
title |
Optimization and evaluation of operation strategies for regional distributed energy system |
title_short |
Optimization and evaluation of operation strategies for regional distributed energy system |
title_full |
Optimization and evaluation of operation strategies for regional distributed energy system |
title_fullStr |
Optimization and evaluation of operation strategies for regional distributed energy system |
title_full_unstemmed |
Optimization and evaluation of operation strategies for regional distributed energy system |
title_sort |
optimization and evaluation of operation strategies for regional distributed energy system |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2020-01-01 |
description |
With the development of energy technologies, the electricity, cooling and heating are tightly connected to improve the overall efficiency of distributed energy systems. These systems satisfy simultaneously different energy demands at building level (hotels, offices and residential buildings). The optimal capacity of technologies from numerous alternatives and optimal operating strategy as well as electricity network connection was investigated in this paper in order to achieve economic and environmental gains. A mixed integer linear programming model was also used for multi-objective optimization to minimize total cost and pollutant emissions. The results show that distributed energy system with electricity network as well as real time control can realize the better performance through multi-optimization from regional viewpoint. However, the results are on the contrary aiming at individual hotels and offices. The performance advancement of this system can only be reflected in residential buildings. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/54/e3sconf_icaeer2020_01015.pdf |
work_keys_str_mv |
AT yuanjingyi optimizationandevaluationofoperationstrategiesforregionaldistributedenergysystem AT limiao optimizationandevaluationofoperationstrategiesforregionaldistributedenergysystem AT liuxiaoyu optimizationandevaluationofoperationstrategiesforregionaldistributedenergysystem AT xukun optimizationandevaluationofoperationstrategiesforregionaldistributedenergysystem |
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1724166756456464384 |