I-Corps: Technology to predict power generation and optimize energy storage in cities

I-Corps：预测城市发电量和优化能源存储的技术

• 批准号: 2018092
• 负责人: Jorge Gonzalez
• 金额: $ 5万
• 依托单位: CUNY City College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2021-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018092&HistoricalAwards=false
• 关键词: Corps; Technology; predict; power; generation

The broader impacts/commercial potential of this I-Corps project is to explore technology to synchronize different sources of energy for buildings. The stakeholders include utility, independent system operators, energy analyst, building automation providers, energy aggregators, energy regulators and third-party energy providers. The project will investigate how software predicting the efficiency and configurations of solar cell installations can improve their performance.This I-Corps project technology is based on the development of a modified numerical weather prediction modeling system (WRF). This system will allow designers to optimize active technologies, such as photovoltaic (PV) installations on the roofs of buildings, and passive systems such as efficiency enhancement, insulation and white roofs, to meet and minimize the electricity demand. These technologies are developed not only to mitigate extreme loads but also to provide and forecast PV-power potential. This system can be used on-site or at a utility to promote integration of energy sources such as solar PV, electro-thermal batteries, and micro-grids, and to optimize demand response strategies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目的更广泛的影响/商业潜力是探索同步建筑物不同能源的技术。利益相关者包括公用事业公司、独立系统运营商、能源分析师、楼宇自动化提供商、能源聚合商、能源监管机构和第三方能源提供商。 该项目将研究预测太阳能电池装置的效率和配置的软件如何提高其性能。I-Corps项目技术基于改进的数值天气预测模型系统（WRF）的开发。 该系统将使设计人员能够优化主动技术，如建筑物屋顶上的光伏（PV）装置，以及被动系统，如效率提高，绝缘和白色屋顶，以满足和最大限度地减少电力需求。 开发这些技术不仅是为了减轻极端负荷，而且还可以提供和预测光伏发电潜力。 该系统可用于现场或公用事业，以促进太阳能光伏、电热电池和微电网等能源的整合，并优化需求响应策略。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。