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Reducing energy costs in data centres using renewable energy sources and energy storage

Authors:

Ariel Oleksiak,

Wojciech Piatek,

Konrad Kuczynski,

Franciszek SidorskiAuthors Info & Claims

E2DC '16: Proceedings of the 5th International Workshop on Energy Efficient Data Centres

Article No.: 5, Pages 1 - 8

https://doi.org/10.1145/2940679.2940684

Published: 21 June 2016 Publication History

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Abstract

Data centers consume large amounts of energy. In parallel, power grid operators are struggling with reduction of peak energy demands. To cope with this problem automated demand response (ADR) techniques are developed. As data centers are precisely monitored and controlled they are well suited to the participation in ADR programmes. However, shapes of loads in data centres may be variable and not fitting the energy supply. We propose to apply ADR to data centers by adequate scheduling of workloads and the partial use of renewable energy sources (RES) especially during peak hours. As the energy produced by renewable sources may be very variable we investigate the use of energy storage. We present a model, heuristics that minimize overall energy cost and experimental results. We discuss profits for data centers that may come from participation in the demand response programme and the use of renewables energy sources.

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Song JZhu PZhang YYu G(2024)CloudSimPer: Simulating Geo-Distributed Datacenters Powered by Renewable Energy MixIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.335753235:4(531-547)Online publication date: Apr-2024
https://doi.org/10.1109/TPDS.2024.3357532
Madon MPierson J(2020)Integrating Pre-Cooling of Data Center operated with Renewable Energies2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00068(332-341)Online publication date: Nov-2020
https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00068
Malla SDeng QEbrahimzadeh ZGasperetti JJain SKondety POrtiz TVieira D(2020)Coordinated Priority-aware Charging of Distributed Batteries in Oversubscribed Data Centers2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)10.1109/MICRO50266.2020.00073(839-851)Online publication date: Oct-2020
https://doi.org/10.1109/MICRO50266.2020.00073
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Published In

E2DC '16: Proceedings of the 5th International Workshop on Energy Efficient Data Centres

June 2016

55 pages

ISBN:9781450344210

DOI:10.1145/2940679

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 21 June 2016

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e-Energy'16

e-Energy'16: The Seventh International Conference on Future Energy Systems

June 21 - 24, 2016

Ontario, Waterloo, Canada

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Song JZhu PZhang YYu G(2024)CloudSimPer: Simulating Geo-Distributed Datacenters Powered by Renewable Energy MixIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.335753235:4(531-547)Online publication date: Apr-2024
https://doi.org/10.1109/TPDS.2024.3357532
Madon MPierson J(2020)Integrating Pre-Cooling of Data Center operated with Renewable Energies2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics)10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00068(332-341)Online publication date: Nov-2020
https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00068
Malla SDeng QEbrahimzadeh ZGasperetti JJain SKondety POrtiz TVieira D(2020)Coordinated Priority-aware Charging of Distributed Batteries in Oversubscribed Data Centers2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO)10.1109/MICRO50266.2020.00073(839-851)Online publication date: Oct-2020
https://doi.org/10.1109/MICRO50266.2020.00073
Xiang YYuan JLuo RZhong XLi T(2019)An Energy Dynamic Control Algorithm Based on Reinforcement Learning for Data CentersInternational Journal of Pattern Recognition and Artificial Intelligence10.1142/S021800141951009133:13(1951009)Online publication date: 17-Dec-2019
https://doi.org/10.1142/S0218001419510091
Nasiriani NKesidis GWang D(2017)Optimal Peak Shaving Using Batteries at Datacenters: Characterizing the Risks and Benefits2017 IEEE 25th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)10.1109/MASCOTS.2017.27(164-174)Online publication date: Sep-2017
https://doi.org/10.1109/MASCOTS.2017.27

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Characterizing and analyzing renewable energy driven data centers

Characterizing and analyzing renewable energy driven data centers

Exploiting Renewable Energy and UPS Systems to Reduce Power Consumption in Data Centers

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