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Optimal multi-energy portfolio towards zero carbon data center buildings in the presence of proactive demand response programs
Xu, Da1,2,3,4,5; Xiang, Shizhe1,2,3; Bai, Ziyi6; Wei, Juan7; Gao, Menglu8
2023-08-24
Source PublicationApplied Energy
ISSN0306-2619
Volume350Pages:121806
Abstract

Multiple geographically dispersed data center buildings have been increasingly positioned in renewable-rich areas due to their high energy consumption. This paper proposes an optimal multi-energy portfolio for zero carbon data center buildings in the presence of proactive demand response programs. In the data center buildings, the complementarities of hydro-solar-wind hybrid renewable energy sources (RESs) are fully exploited via multi-energy conversion and storage devices, which are modeled as 100% renewable energy hubs for zero carbon multi-energy supplies. In order to exploit the hub-internal operational dispatchability and flexibility, a comprehensive energy consumption model of data center buildings is proposed to facilitate the demand response in terms of available serves, while the variable speed pumped storage (VSPS) is modeled to capture its dynamic operational characteristics. The energy‑carbon production, conversion, storage, and consumption are formulated as an energy‑carbon matrix, which are solved via a two-stage method to obtain the optimal portfolio. Case studies on southwest China data center buildings are implemented to demonstrate the effectiveness and superiority of the proposed methodology on cost-effective accommodation of RESs. Simulations results show that the system portfolio cost can be reduced by at most 17.8% with a higher operational flexibility.

KeywordData Center Building Integrated Energy Systems Renewable Energy Sustainable Planning Zero Carbon
DOI10.1016/j.apenergy.2023.121806
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Chemical
WOS IDWOS:001072006200001
PublisherELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND
Scopus ID2-s2.0-85168830714
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Citation statistics
Document TypeJournal article
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
INSTITUTE OF MICROELECTRONICS
Corresponding AuthorBai, Ziyi; Wei, Juan
Affiliation1.School of Automation, China University of Geosciences, Wuhan, 430074, China
2.Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, 430074, China
3.Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan, 430074, China
4.State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macao
5.Institute of Microelectronics, University of Macau, Macao
6.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macao
7.College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China
8.DC Company of State Grid Hubei Electric Power Co., Ltd., Yichang, 443000, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Xu, Da,Xiang, Shizhe,Bai, Ziyi,et al. Optimal multi-energy portfolio towards zero carbon data center buildings in the presence of proactive demand response programs[J]. Applied Energy, 2023, 350, 121806.
APA Xu, Da., Xiang, Shizhe., Bai, Ziyi., Wei, Juan., & Gao, Menglu (2023). Optimal multi-energy portfolio towards zero carbon data center buildings in the presence of proactive demand response programs. Applied Energy, 350, 121806.
MLA Xu, Da,et al."Optimal multi-energy portfolio towards zero carbon data center buildings in the presence of proactive demand response programs".Applied Energy 350(2023):121806.
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