4.7 Article

Feasibility analysis of a hybrid renewable energy system with vehicle-to-home operations for a house in off-grid and grid-connected applications

期刊

SUSTAINABLE CITIES AND SOCIETY
卷 86, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scs.2022.104124

关键词

Microgrid; Photovoltaic; Hybrid renewable energy system; Vehicle -to -home (V2H); Energy management; Off -grid applications

向作者/读者索取更多资源

This study investigates the feasibility of a hybrid renewable energy system with energy storage system for a house, and considers the vehicle-to-home option as a backup/support system. The results show that the vehicle-to-home system does not influence the sizing of the hybrid renewable energy system, but can reduce the overall cost and optimize energy management.
This study investigates the feasibility of a hybrid renewable energy system (HRES) with energy storage system (ESS) for a house, where the vehicle-to-home (V2H) option is considered as a backup/support system. HOMER is used for the optimal sizing of the HRES integrating photovoltaic (PV) panels, wind turbine (WT) and ESS, and V2H is properly managed to improve the energy management. Three scenarios are studied considering a 10 kW WT and a 20 kW inverter. In the first one, the EV is only considered as a load. The second one assesses how the V2H influences the HRES for moving loads to off-peak hours, and smoothing the consumption curve. The last one studies the self-consumption with sale of excess energy to the grid. The results show that the V2H does not influence the sizing of the HRES (only a reduction of a battery module), because there is only an energy transfer. In the third scenario, the possibility of selling surplus energy to the grid (at 0.05 euro/kWh), allows not only the house self-consumption but a great cost reduction compared to the first scenario (reduction of 25.1% in the Total Net Present Cost (NPC) and 49.5% in the Levelized Cost of Energy (LCOE)).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据