企业级优化策略,以实现可持续和成本效益的电动汽车工作场所充电
Marcel Seger1, Christian Brand1,2, Christoph Clement3
1Environmental Change Institute, University of Oxford, Oxford, UK.
概括
工作场所对电动汽车 (EV) 的智能充电策略可以大幅减少28%的峰值电力负载,并将成本和排放量减少9%. 这有助于企业有效管理能源消耗.
科学领域:
- 能源系统工程 能源系统工程
- 可持续的运输可持续的运输
- 运营研究 运营研究
背景情况:
- 越来越多的电动汽车 (EV) 采用需要工作场所充电基础设施.
- 电动汽车充电对企业电力配置的影响尚不清楚.
- 对于公司提供电动汽车充电设施的监管压力正在增加.
研究的目的:
- 开发一个数学模型来优化工作场所的电动汽车充电.
- 评估电动汽车收费对企业能源消耗,成本和排放的影响.
- 为企业提供有效的能源管理和基础设施规划工具.
主要方法:
- 开发了一种用于电动汽车充电管理的数学优化模型.
- 创建了一个开源的Web应用程序来实现该模型.
- 利用来自英国东南英格兰一家全球汽车制造商的现实数据.
- 将智能充电策略与便利充电进行了比较.
主要成果:
- 智能充电使峰值负载减少了28%.
- 通过智能充电,充电成本和碳排放量减少了9%.
- 该模型提供了对权力配置文件和员工需求的具体见解.
结论:
- 智能充电策略是有效的管理工作场所电动汽车充电.
- 该方法为跨行业的电动汽车基础设施规划提供数据驱动的见解.
- 该开源工具使企业能够优化能源消耗并减少对环境的影响.
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