Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/22105
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, D | - |
dc.contributor.author | Xie, C | - |
dc.contributor.author | Wu, R | - |
dc.contributor.author | Lai, CS | - |
dc.contributor.author | Li, X | - |
dc.contributor.author | Zhao, Z | - |
dc.contributor.author | Wu, X | - |
dc.contributor.author | Xu, Y | - |
dc.contributor.author | Lai, LL | - |
dc.contributor.author | Wei, J | - |
dc.date.accessioned | 2021-01-15T12:00:20Z | - |
dc.date.available | 2021-01-15T12:00:20Z | - |
dc.date.issued | 2021-01-04 | - |
dc.identifier | ORCiD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438 | - |
dc.identifier | ORCiD: Zhuoli Zhao https://orcid.org/0000-0003-2531-0614 | - |
dc.identifier | ORCiD: Loi Lei Lai https://orcid.org/0000-0003-4786-7931 | - |
dc.identifier.citation | Wang , D. et al. (2021) 'Optimal Energy Scheduling for Data Center with Energy Nets Including CCHP and Demand Response', IEEE Access, 9, pp. 6137 - 6151. doi: 10.1109/ACCESS.2020.3049066. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/22105 | - |
dc.description.abstract | Internet data centers are growing rapidly in recent years and they operate with intensive energy activity. Combined cooling, heating and power (CCHP) brings new opportunities for reducing the electricity cost in internet data centers. The main objective of this study is to optimize the energy resources scheduling in the data center coupled energy nets considering the involvement of CCHP and different demand response techniques. In this paper, internet data center coupled energy nets are proposed, where power grid, solar photovoltaic, CCHP, and battery energy storage systems are the primary energy sources. The adjunct residential buildings and commercial buildings near the internet data centers are also included in the proposed energy nets, where different types of load and demand response characteristics are utilized. A two-stage optimized energy management model considering the coordinated operation of CCHP and demand response technologies is established for internet data center coupled energy nets. In the day-ahead stage, the control objective is to minimize system cost while satisfying various constraints. Consider the electricity tariff chance between day-ahead market and real-time market, real-time control is implemented to minimize the imbalance cost between two electricity markets. Case studies are conducted on a practical internet data center coupled energy nets in Foshan City, China. It is observed that the proposed control framework can optimally schedule the energy resources in the energy network to meet system demand and improve the energy efficiency. The economic evaluation demonstrates that the proposed control scheme reduces system daily cost by 22.01%. | en_US |
dc.description.sponsorship | This work was supported in part by the Department of Finance and Education of Guangdong Province 2016 [202] through the Key Discipline Construction Program, China, in part by the Education Department of Guangdong Province through the New and Integrated Energy System Theory and Technology Research Group under Project 2016KCXTD022, in part by Guangdong Foshan Power Construction Corporation Group Company Ltd., in part by the National Natural Science Foundation of China under Grant 51907031, and in part by Brunel University London BRIEF Funding, U.K. | - |
dc.format.extent | 6137 - 6151 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.rights | © Copyright 2021, The Author(s). Published by Institute of Electrical and Electronics Engineers (IEEE). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | combined cooling | en_US |
dc.subject | heating and power | en_US |
dc.subject | data centers | en_US |
dc.subject | mixed integer linear programming | en_US |
dc.subject | renewable energy sources | en_US |
dc.subject | two-stage optimal scheduling | en_US |
dc.title | Optimal Energy Scheduling for Data Center with Energy Nets Including CCHP and Demand Response | en_US |
dc.type | Article | en_US |
dc.date.dateAccepted | 2020-12-27 | - |
dc.identifier.doi | https://doi.org/10.1109/access.2020.3049066 | - |
dc.relation.isPartOf | IEEE Access | - |
pubs.publication-status | Published | - |
pubs.volume | 9 | - |
dc.identifier.eissn | 2169-3536 | - |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | © Copyright 2021, The Author(s). Published by Institute of Electrical and Electronics Engineers (IEEE). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ | 1.85 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License