Novel energy management architectures for optimizing energy utilization in data centres
Novel energy management architectures for optimizing energy utilization in data centres
批准号:
519792-2017
负责人:
Narimani, Mehdi
金额:
$5.73万
依托单位:
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31
中文摘要
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英文摘要
Data centers are quickly becoming one of the greatest consumers of energy around the world, accounting for approximately 3% of total global energy use. Nearly all businesses rely on computational data storage and access, and almost all require some form of data centre, from small to large scale. In general, data centre facilities typically consume 25-50 times the amount of energy that a comparably sized office space will use. The next generation of Data Centres will require improved power distribution architecture, efficient power conversion devices and improved associated supervisory control technologies.****The proposed project will focus on investigation of power distribution, power converters, and control techniques in data centres and will develop; (1) advanced efficient power distribution architecture, (2) advanced power electronics converter, and (3) advanced supervisory control of power distribution for data centre applications. The outcomes of this research will be design and develop improved power electronic technologies and control techniques to improve performance, efficiency, and reliability of data centres. This project will yield significant benefit to industry partner, Cinnos Mission Critical Incorporated (CMCI), and provide a path forward with a more efficient and cost effective product. The project will also foster a talent pool of well-trained and highly-skilled graduates and researchers with hands-on experience.****Cinnos is a company that works on data centres. The proposed power structure will be commercialized by the industry partner and will help them to add revenue to the company. In addition to create jobs, this research will have a significant impact on energy consumption and reducing greenhouse gas emissions.**
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