Vehicle-to-grid;
Electric vehicles;
Energy scenarios;
Economic analysis environment;
ELECTRIC VEHICLES;
ION BATTERIES;
MODEL;
SIMULATION;
MANAGEMENT;
IMPACT;
D O I:
10.1016/j.apenergy.2017.01.102
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
The potential for electric vehicles to obtain income from energy supplied to a commercial building together with revenue accruing from specific ancillary service markets in the UK is evaluated in this work. A hybrid time-series/probabilistic simulation environment using real-world data is described, which is applied in the analysis of electricity trading with vehicle-to-grid to vehicles, buildings and markets. Key parameters are found to be the electric vehicle electricity sale price, battery degradation cost and infrastructure costs. Three vehicle-to-grid scenarios are evaluated using pool vehicle trip data, market pricing index data and half-hourly electricity demand for a commercial building. Results show that provision of energy to the wholesale electricity market with additional income from the capacity market results in the greatest projected return on investment, producing an individual vehicle net present value of similar to 8400 pound. This is over 10 years for a vehicle supplying energy three times per week to the half-hour day ahead market and includes the cost of installing the vehicle-to-grid infrastructure. The analysis also shows that net income generation is strongly dependent upon battery degradation costs associated with vehicle-to-grid cycling. (C) 2017 Elsevier Ltd. All rights reserved.
机构:
Ankang Univ, Elect Informat Engn, Ankang, Peoples R China
Qiannan Normal Univ Nationalities, Sch Comp & Informat, Duyun 558000, Guizhou, Peoples R China
Nanchang Inst Sci & Technol, Sch Informat & Artificial Intelligence, Nanchang, Peoples R ChinaAnkang Univ, Elect Informat Engn, Ankang, Peoples R China
Hai, Tao
Aksoy, Muammer
论文数: 0引用数: 0
h-index: 0
机构:
Al Mustaqbal Univ, Coll Sci, Cyber Secur Dept, Babylon 51001, Iraq
Ahmed Bin Mohammed Mil Coll, Comp Informat Syst Dept, POB 22988, Doha, QatarAnkang Univ, Elect Informat Engn, Ankang, Peoples R China
Aksoy, Muammer
Faraji, Hamid
论文数: 0引用数: 0
h-index: 0
机构:
Renewable Prod & TCSC AI Management, Istanbul, TurkiyeAnkang Univ, Elect Informat Engn, Ankang, Peoples R China
机构:
Dongguan City Univ, Sch Artificial Intelligence, Dongguan 523109, Guangdong, Peoples R China
Macao Polytech Univ, Fac Appl Sci, Macau 999078, Peoples R ChinaDongguan City Univ, Sch Artificial Intelligence, Dongguan 523109, Guangdong, Peoples R China