Power Consumption Cost Optimization Using Solar Photovoltaic Systems for Data Centers

被引：0

作者：

Eshraghi, Alireza ^{[1
]}

Sadeghi-Mobarakeh, Ashkan ^{[2
]}

Reihani, Ehsan ^{[3
]}

Motalleb, Mahdi ^{[4
]}

Mousavi, S. M. Ali ^{[5
]}

机构：

[1] Univ Calif San Diego, La Jolla, CA 92093 USA

[2] Univ Calif Riverside, Riverside, CA 92521 USA

[3] Calif State Univ Bakersfield, Bakersfield, CA USA

[4] Nikola Power, Denver, CO USA

[5] Virginia Tech Univ, Blacksburg, VA USA

来源：

2018 NORTH AMERICAN POWER SYMPOSIUM (NAPS) | 2018年

关键词：

Data Center; interactive workload; solar system; economy of scale;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Power consumption by data centres has become a critical issue considering their huge amount of usage. Considering the cost of this power consumption, for both the data centers' owners and also the utilities that have to meet the peak demand requirement by these data centers, from one side and its impact on global warming on the other side, it is crucially important to mitigate the negative consequences. This paper presents an optimization method for data centers power consumption cost using two paths: contracting solar systems for powering their workload processing considering the economy of scale in solar systems, and transferring their workload to other data centers in other region when it can cost for them less while they meet the maximum delay required for processing those workloads.

引用

页数：6

共 21 条

[1]

Alanazi M., 2017 N AM POW S NAPS

[2]

Alanazi M., 2018, IEEE TRANSM DISTR C

[3]

Eshraghi Alireza, 2015, 2015 IEEE Power & Energy Society General Meeting, P1, DOI 10.1109/PESGM.2015.7286607

[4]

Eshraghi A., 2017, POW S NAPS 2017 N AM

[5]