Case studies of a distributed building energy system incorporating with EVs considering effects of random charging behaviors and time-of-use pricing in electricity
Reaching carbon neutrality needs global actions in various industry sectors. Building energy systems and electric vehicles (EV) are two main contributors to the decarbonization in the energy and transportation sectors, and the distributed building energy system with EV charging driven by renewable e...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-10-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X22005408 |
| _version_ | 1798002165622505472 |
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| author | Bingzheng Wang Xiaoli Yu Qian Wu Zhi Li Ruicheng Jiang Gao Qian Rui Huang |
| author_facet | Bingzheng Wang Xiaoli Yu Qian Wu Zhi Li Ruicheng Jiang Gao Qian Rui Huang |
| author_sort | Bingzheng Wang |
| collection | DOAJ |
| description | Reaching carbon neutrality needs global actions in various industry sectors. Building energy systems and electric vehicles (EV) are two main contributors to the decarbonization in the energy and transportation sectors, and the distributed building energy system with EV charging driven by renewable energy can greatly reduce carbon emissions. However, in the research about distributed building energy systems with EVs, the time-of-use (TOU) pricing of the grid and uncertain EVs charging loads (caused by random daily miles, departure/return time, and charging modes) are not considered simultaneously, which will influence the performances of the system. In this research, a distributed building energy system with EV is studied under the uncertain EV charging behaviors and TOU pricing of electricity, and the corresponding operation strategy is designed. The economic, environment, renewable energy penetration, and power trading performances are analyzed, and the crucial parameters of the system are optimized with three goals of minimum electricity cost, maximum renewable energy utilization ratio, and minimum net power purchase from the grid simultaneously based on the nondominated sorting genetic algorithm II (NSGA-II). The optimal system is analyzed from the perspective of energy flow and typical daily operation. The influences of the EV fast charging ratio and carbon tax on the optimal system are also studied. According to the results, the electricity cost, renewable energy utilization ratio, and net power purchase can be 0.0773 $ kWh−1, 54.3%, and 172.65 MWh year−1 simultaneously. |
| first_indexed | 2024-04-11T11:47:50Z |
| format | Article |
| id | doaj.art-9898809cc33c4e2ab9104fa55b633233 |
| institution | Directory Open Access Journal |
| issn | 2214-157X |
| language | English |
| last_indexed | 2024-04-11T11:47:50Z |
| publishDate | 2022-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj.art-9898809cc33c4e2ab9104fa55b6332332022-12-22T04:25:30ZengElsevierCase Studies in Thermal Engineering2214-157X2022-10-0138102297Case studies of a distributed building energy system incorporating with EVs considering effects of random charging behaviors and time-of-use pricing in electricityBingzheng Wang0Xiaoli Yu1Qian Wu2Zhi Li3Ruicheng Jiang4Gao Qian5Rui Huang6College of Energy Engineering, Zhejiang University, Hangzhou, 310027, PR ChinaCollege of Energy Engineering, Zhejiang University, Hangzhou, 310027, PR China; Ningbo Research Institute, Zhejiang University, Ningbo, 315100, PR China; Corresponding author. College of Energy Engineering, Zhejiang University, Hangzhou, 310027, PR China.Department of Mechanical Engineering, Zhejiang University City College, 310015, PR ChinaCollege of Energy Engineering, Zhejiang University, Hangzhou, 310027, PR China; Corresponding author.College of Energy Engineering, Zhejiang University, Hangzhou, 310027, PR ChinaThe Institute of Service-Oriented Manufacturing Co., Ltd., Hangzhou, 311103, PR ChinaCollege of Energy Engineering, Zhejiang University, Hangzhou, 310027, PR ChinaReaching carbon neutrality needs global actions in various industry sectors. Building energy systems and electric vehicles (EV) are two main contributors to the decarbonization in the energy and transportation sectors, and the distributed building energy system with EV charging driven by renewable energy can greatly reduce carbon emissions. However, in the research about distributed building energy systems with EVs, the time-of-use (TOU) pricing of the grid and uncertain EVs charging loads (caused by random daily miles, departure/return time, and charging modes) are not considered simultaneously, which will influence the performances of the system. In this research, a distributed building energy system with EV is studied under the uncertain EV charging behaviors and TOU pricing of electricity, and the corresponding operation strategy is designed. The economic, environment, renewable energy penetration, and power trading performances are analyzed, and the crucial parameters of the system are optimized with three goals of minimum electricity cost, maximum renewable energy utilization ratio, and minimum net power purchase from the grid simultaneously based on the nondominated sorting genetic algorithm II (NSGA-II). The optimal system is analyzed from the perspective of energy flow and typical daily operation. The influences of the EV fast charging ratio and carbon tax on the optimal system are also studied. According to the results, the electricity cost, renewable energy utilization ratio, and net power purchase can be 0.0773 $ kWh−1, 54.3%, and 172.65 MWh year−1 simultaneously.http://www.sciencedirect.com/science/article/pii/S2214157X22005408Renewable energyDistributed building energy systemUncertain EV chargingMulti-objective optimizationTime-of-use pricing |
| spellingShingle | Bingzheng Wang Xiaoli Yu Qian Wu Zhi Li Ruicheng Jiang Gao Qian Rui Huang Case studies of a distributed building energy system incorporating with EVs considering effects of random charging behaviors and time-of-use pricing in electricity Case Studies in Thermal Engineering Renewable energy Distributed building energy system Uncertain EV charging Multi-objective optimization Time-of-use pricing |
| title | Case studies of a distributed building energy system incorporating with EVs considering effects of random charging behaviors and time-of-use pricing in electricity |
| title_full | Case studies of a distributed building energy system incorporating with EVs considering effects of random charging behaviors and time-of-use pricing in electricity |
| title_fullStr | Case studies of a distributed building energy system incorporating with EVs considering effects of random charging behaviors and time-of-use pricing in electricity |
| title_full_unstemmed | Case studies of a distributed building energy system incorporating with EVs considering effects of random charging behaviors and time-of-use pricing in electricity |
| title_short | Case studies of a distributed building energy system incorporating with EVs considering effects of random charging behaviors and time-of-use pricing in electricity |
| title_sort | case studies of a distributed building energy system incorporating with evs considering effects of random charging behaviors and time of use pricing in electricity |
| topic | Renewable energy Distributed building energy system Uncertain EV charging Multi-objective optimization Time-of-use pricing |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X22005408 |
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