Optimal Integration of Solar Energy for Electric Vehicle Charging Infrastructure using Rooftop Area of Structures**********

利用屋顶结构区域优化太阳能电动汽车充电基础设施整合************

• 批准号: 537545-2018
• 负责人: Elkamel, Ali
• 金额: $ 1.82万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=650075
• 关键词: Optimal; Integration; Solar; Energy; Electric

Sky Clean Energy Ltd. (SKY), an industry leader in Canada's renewable energy (RE) industry, is interested in pursuing research work to develop a framework used for designing a charging network for electric vehicles (EV) that is powered using solar energy technology. SKY has teamed up with the University of Waterloo to develop a computational-based infrastructure that will improve the decision-making process, determining the feasibility of implementing a particular renewable energy technology in a certain geographical region. The aim of this study is to design an electric vehicle (EV) charging infrastructure based on solar energy technology whilst considering rooftop area of structures within a particular region. Since solar energy is intermittent in nature, a multi-period model is proposed to be developed, mainly incorporating solar data, available space and energy demand by electric vehicles. Furthermore, the mathematical program will be able to identify the optimal regions for installation of RE technology and the type of technology to be employed. On the other hand, different level chargers will be considered based on the available charging technology. A case study will be carried out on the City of Toronto, to investigate the applicability of the proposed program. Uncertainty will be tackled by either conducting sensitivity analyses or incorporating stochasticity into the developed model. The proposed study will yield economic costs and environmental gains realized with the implementation of the proposed technology. In addition, life-cycle emissions may be studied if local production of this particular technology is considered.******

加拿大可再生能源（RE）行业的行业领导者Sky Clean Energy Ltd.（SKY）有兴趣开展研究工作，开发用于设计使用太阳能技术供电的电动汽车（EV）充电网络的框架。SKY与滑铁卢大学合作开发了一个基于计算的基础设施，该基础设施将改善决策过程，确定在特定地理区域实施特定可再生能源技术的可行性。本研究的目的是设计一个基于太阳能技术的电动汽车（EV）充电基础设施，同时考虑特定区域内建筑物的屋顶面积。由于太阳能是间歇性的，建议开发一个多周期模型，主要包括太阳能数据，可用空间和电动汽车的能源需求。此外，数学程序将能够确定安装可再生能源技术的最佳区域和将采用的技术类型。另一方面，将根据现有的充电技术考虑不同级别的充电器。将对多伦多市进行案例研究，以调查拟议方案的适用性。不确定性将通过进行敏感性分析或将随机性纳入开发的模型来解决。拟议的研究将产生经济成本和环境收益实现拟议的技术的实施。此外，如果考虑到这一特定技术的当地生产，可对生命周期排放进行研究。