Coordinated Spatio-Temporal Operation of Wind–Solar–Storage-Powered Data Centers Considering Building Thermal Inertia

In the context of the booming digital economy, the energy consumption of data centers (DC) is experiencing exponential growth, and achieving green transformation has become a crucial issue. This paper presents a coordinated spatio-temporal operation of wind–solar–storage-powered DCs considering building thermal inertia. Firstly, based on users’ differentiated needs, the spatio-temporal flexibility of data loads is deeply explored to lower DC’s operation costs through load shifting. Secondly, a DC mathematical model considering building thermal inertia is established, revealing the quantitative relationship among air-conditioning power, data load rate, and building parameters. Finally, a coordinated spatio-temporal operation of wind–solar–storage-powered DCs considering building thermal inertia is proposed to promote renewable energy consumption and realize the green transformation of DC. The case study results show that the proposed strategy reduces the DC operation cost by 37.92% and significantly increases the renewable energy-consumption ratio.

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Publication Details

Journal
Buildings
Published
2025-05-23
DOI
https://doi.org/10.3390/buildings15111782
Primary Topic
Distributed and Parallel Computing Systems
Type
article
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article

Coordinated Spatio-Temporal Operation of Wind–Solar–Storage-Powered Data Centers Considering Building Thermal Inertia

Chuanjian Wu, Xiangyu Zhai, Zening Li, Liping Chang et al.
Buildings
Distributed and Parallel Computing Systems
article

Coordinated Spatio-Temporal Operation of Wind–Solar–Storage-Powered Data Centers Considering Building Thermal Inertia

Chuanjian Wu, Xiangyu Zhai, Zening Li, Liping Chang, Xinying Qin, Xiaoyang Liu, Jiahui Zhang, Xiang Bai
article en

Abstract

In the context of the booming digital economy, the energy consumption of data centers (DC) is experiencing exponential growth, and achieving green transformation has become a crucial issue. This paper presents a coordinated spatio-temporal operation of wind–solar–storage-powered DCs considering building thermal inertia. Firstly, based on users’ differentiated needs, the spatio-temporal flexibility of data loads is deeply explored to lower DC’s operation costs through load shifting. Secondly, a DC mathematical model considering building thermal inertia is established, revealing the quantitative relationship among air-conditioning power, data load rate, and building parameters. Finally, a coordinated spatio-temporal operation of wind–solar–storage-powered DCs considering building thermal inertia is proposed to promote renewable energy consumption and realize the green transformation of DC. The case study results show that the proposed strategy reduces the DC operation cost by 37.92% and significantly increases the renewable energy-consumption ratio.

BuildingsVol. 15(11)
Taiyuan University of Technology (CN)
Openalex Percentile: Top 88%
Distributed and Parallel Computing Systems
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