Integrated Planning for Shared Electric Vehicle System Considering Carbon Emission Reduction
In order to improve the operational efficiency of a shared electric vehicle (SEV) system, this paper conducts integrated planning research from the aspects of locating and sizing SEV outlets, locating and sizing charging facilities, and operation scheduling by considering the carbon emission reducti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | World Electric Vehicle Journal |
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| Online Access: | https://www.mdpi.com/2032-6653/16/1/15 |
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| author | Xiaohui Sun Yumei Mi Askar Ahtam Zhi Zuo |
| author_facet | Xiaohui Sun Yumei Mi Askar Ahtam Zhi Zuo |
| author_sort | Xiaohui Sun |
| collection | DOAJ |
| description | In order to improve the operational efficiency of a shared electric vehicle (SEV) system, this paper conducts integrated planning research from the aspects of locating and sizing SEV outlets, locating and sizing charging facilities, and operation scheduling by considering the carbon emission reduction and its benefits. Firstly, a multi-objective locating model was constructed with the optimization objectives of minimum outlet construction cost and user travel time cost and minimum carbon emissions from outlet construction and vehicle routing. Secondly, a charging demand simulation predictive model framework was designed. Finally, an SEV scheduling model with maximal operating income and minimal scheduling costs as optimization objectives was constructed considering the benefits of carbon emission reduction. By applying these models to the Chicago Sketch network and using a genetic algorithm to solve the models, it is concluded that the optimal outlet location solution considering carbon emission reduction will increase the outlet construction cost and user travel time cost. When the user loss rate is 40%, the initial number of vehicles in each outlet can make the operator’s daily income reach the maximum. The number of charging piles in each outlet is optimally configured according to 55% of the highest charging demand. Scheduling can make the distribution of charging demand more uniform and reduces the maximum charging demand by about 36.8% and the total number of charging piles by about 24.0%, at the same time, increases the average time utilization rate of charging piles at all outlets by about 15.6% and the user satisfaction rate by about 8.6%. Although scheduling increases the scheduling cost by about 3.8%, it can increase the total daily revenue of operators by 6.5%. Carbon reduction benefits can increase the total daily revenue of operators by 0.7%. |
| format | Article |
| id | doaj-art-7e18a74d0e0049b2b026f898fc268082 |
| institution | Kabale University |
| issn | 2032-6653 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj-art-7e18a74d0e0049b2b026f898fc2680822025-01-24T13:52:46ZengMDPI AGWorld Electric Vehicle Journal2032-66532024-12-011611510.3390/wevj16010015Integrated Planning for Shared Electric Vehicle System Considering Carbon Emission ReductionXiaohui Sun0Yumei Mi1Askar Ahtam2Zhi Zuo3School of Traffic and Transportation Engineering, Xinjiang University, Urumqi 830017, ChinaCollege of Civil Engineering and Architecture, Xinjiang University, Urumqi 830017, ChinaCollege of Civil Engineering and Architecture, Xinjiang University, Urumqi 830017, ChinaSchool of Economics, Liaoning University of International Business and Economics, Dalian 116052, ChinaIn order to improve the operational efficiency of a shared electric vehicle (SEV) system, this paper conducts integrated planning research from the aspects of locating and sizing SEV outlets, locating and sizing charging facilities, and operation scheduling by considering the carbon emission reduction and its benefits. Firstly, a multi-objective locating model was constructed with the optimization objectives of minimum outlet construction cost and user travel time cost and minimum carbon emissions from outlet construction and vehicle routing. Secondly, a charging demand simulation predictive model framework was designed. Finally, an SEV scheduling model with maximal operating income and minimal scheduling costs as optimization objectives was constructed considering the benefits of carbon emission reduction. By applying these models to the Chicago Sketch network and using a genetic algorithm to solve the models, it is concluded that the optimal outlet location solution considering carbon emission reduction will increase the outlet construction cost and user travel time cost. When the user loss rate is 40%, the initial number of vehicles in each outlet can make the operator’s daily income reach the maximum. The number of charging piles in each outlet is optimally configured according to 55% of the highest charging demand. Scheduling can make the distribution of charging demand more uniform and reduces the maximum charging demand by about 36.8% and the total number of charging piles by about 24.0%, at the same time, increases the average time utilization rate of charging piles at all outlets by about 15.6% and the user satisfaction rate by about 8.6%. Although scheduling increases the scheduling cost by about 3.8%, it can increase the total daily revenue of operators by 6.5%. Carbon reduction benefits can increase the total daily revenue of operators by 0.7%.https://www.mdpi.com/2032-6653/16/1/15traffic engineeringintegrated planningshared electric vehicle systemcarbon emission reduction benefitsoutlet locatingcharging facilities layout |
| spellingShingle | Xiaohui Sun Yumei Mi Askar Ahtam Zhi Zuo Integrated Planning for Shared Electric Vehicle System Considering Carbon Emission Reduction World Electric Vehicle Journal traffic engineering integrated planning shared electric vehicle system carbon emission reduction benefits outlet locating charging facilities layout |
| title | Integrated Planning for Shared Electric Vehicle System Considering Carbon Emission Reduction |
| title_full | Integrated Planning for Shared Electric Vehicle System Considering Carbon Emission Reduction |
| title_fullStr | Integrated Planning for Shared Electric Vehicle System Considering Carbon Emission Reduction |
| title_full_unstemmed | Integrated Planning for Shared Electric Vehicle System Considering Carbon Emission Reduction |
| title_short | Integrated Planning for Shared Electric Vehicle System Considering Carbon Emission Reduction |
| title_sort | integrated planning for shared electric vehicle system considering carbon emission reduction |
| topic | traffic engineering integrated planning shared electric vehicle system carbon emission reduction benefits outlet locating charging facilities layout |
| url | https://www.mdpi.com/2032-6653/16/1/15 |
| work_keys_str_mv | AT xiaohuisun integratedplanningforsharedelectricvehiclesystemconsideringcarbonemissionreduction AT yumeimi integratedplanningforsharedelectricvehiclesystemconsideringcarbonemissionreduction AT askarahtam integratedplanningforsharedelectricvehiclesystemconsideringcarbonemissionreduction AT zhizuo integratedplanningforsharedelectricvehiclesystemconsideringcarbonemissionreduction |