EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply
This study examines the potential role that an Electric Vehicle Battery (EVB) can play in Home Energy Management System (HEMS) based on a future development on the performance and costs of batteries. The value of EVB in an HEMS with different home connection settings and energy consumption/storage/g...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-07-01
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| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/13/7/122 |
| _version_ | 1797432984899420160 |
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| author | Xinan Yang Thanet Chitsuphaphan Hongsheng Dai Fanlin Meng |
| author_facet | Xinan Yang Thanet Chitsuphaphan Hongsheng Dai Fanlin Meng |
| author_sort | Xinan Yang |
| collection | DOAJ |
| description | This study examines the potential role that an Electric Vehicle Battery (EVB) can play in Home Energy Management System (HEMS) based on a future development on the performance and costs of batteries. The value of EVB in an HEMS with different home connection settings and energy consumption/storage/generation capacities are investigated to advise the optimal future HEMS setups. Solar PV are considered as the residential renewal energy supply, which is the main resource of uncertainty of the system. A novel forecasting model is deployed which incorporates geographical information, solar radiation forecast and weather-related conditions into an exponential-based method to simulate day-ahead solar PV output. Optimal flows of energy and usage of storage (batteries) are then captured by a Stochastic Programming (SP) model and solved by CPLEX. Managerial insights and optimal designs of the HEMS are drawn based on the results obtained. |
| first_indexed | 2024-03-09T10:10:35Z |
| format | Article |
| id | doaj.art-946ce0bf70754ac1bf80fc7275009488 |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-03-09T10:10:35Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-946ce0bf70754ac1bf80fc72750094882023-12-01T22:49:34ZengMDPI AGWorld Electric Vehicle Journal2032-66532022-07-0113712210.3390/wevj13070122EVB-Supportive Energy Management for Residential Systems with Renewable Energy SupplyXinan Yang0Thanet Chitsuphaphan1Hongsheng Dai2Fanlin Meng3Department of Mathematical Sciences, University of Essex, Colchester CO4 3SQ, UKDepartment of Mathematics, King Mongkut’s University of Technology Thonburi, Bangkok 10140, ThailandDepartment of Mathematical Sciences, University of Essex, Colchester CO4 3SQ, UKDepartment of Mathematical Sciences, University of Essex, Colchester CO4 3SQ, UKThis study examines the potential role that an Electric Vehicle Battery (EVB) can play in Home Energy Management System (HEMS) based on a future development on the performance and costs of batteries. The value of EVB in an HEMS with different home connection settings and energy consumption/storage/generation capacities are investigated to advise the optimal future HEMS setups. Solar PV are considered as the residential renewal energy supply, which is the main resource of uncertainty of the system. A novel forecasting model is deployed which incorporates geographical information, solar radiation forecast and weather-related conditions into an exponential-based method to simulate day-ahead solar PV output. Optimal flows of energy and usage of storage (batteries) are then captured by a Stochastic Programming (SP) model and solved by CPLEX. Managerial insights and optimal designs of the HEMS are drawn based on the results obtained.https://www.mdpi.com/2032-6653/13/7/122stochastic programmingforecastingspatial informationbatteryelectric vehicleEVB-to-home supply |
| spellingShingle | Xinan Yang Thanet Chitsuphaphan Hongsheng Dai Fanlin Meng EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply World Electric Vehicle Journal stochastic programming forecasting spatial information battery electric vehicle EVB-to-home supply |
| title | EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply |
| title_full | EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply |
| title_fullStr | EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply |
| title_full_unstemmed | EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply |
| title_short | EVB-Supportive Energy Management for Residential Systems with Renewable Energy Supply |
| title_sort | evb supportive energy management for residential systems with renewable energy supply |
| topic | stochastic programming forecasting spatial information battery electric vehicle EVB-to-home supply |
| url | https://www.mdpi.com/2032-6653/13/7/122 |
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