Data Analysis and Algorithm Development to Optimize Energy Storage Installation Size
Data Analysis and Algorithm Development to Optimize Energy Storage Installation Size
批准号:
560202-2020
负责人:
Leaver, Chad
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 1
财政年份:
2020
资助国家:
加拿大
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31
中文摘要
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英文摘要
TROES Corp. (TROES) is a Markham, Ontario-based company that designs, manufactures, and sells battery energy storage systems. The design of custom systems is a complex multi-variable process that combines historical data with electricity pricing, weather and location limitations, and client payback period calculations. The latter is currently a bottleneck in the industry, as creating an optimal design is important to proper system functioning and efficiency of the payback period for the client. TROES will collaborate with Seneca's School of Environmental & Civil Engineering Technology (SECET) to enable the development of a fast and accurate software solution to support energy storage system design. Specifically, a partially automated design will enable TROES and the industry to increase the throughput of system design to assist project engineers in providing customized, appropriate battery energy storage systems for their situations. This will help to grow the sector to meet the rising demand and meet the challenge of energy security.
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