short-paper

Evaluation process of demand response compensation models for data centers

Authors:

Benedikt Kirpes,

Sonja KlingertAuthors Info & Claims

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

Article No.: 4, Pages 1 - 6

https://doi.org/10.1145/2940679.2940683

Published: 21 June 2016 Publication History

Abstract

The increasing integration of renewable energies into the electricity system and a fluctuating power demand cause high pressure on today's electricity grid. One contemporary approach to deal with this issue is the implementation of demand response mechanisms: In contrary to adjusting the power supply by increasing generation from brown energy sources, the demand side is rendered flexible. Data centers are highly suitable participants for this approach due to their extremely dynamic infrastructure and power consumption. Integration of data centers into demand response programs offers a huge potential and highly benefits energy providers, electricity market and grid. In this paper, we identify six basic theoretical compensation models from common demand response programs. Based on these, we provide an evaluation process, which is visualized as business process model with flowchart notation. This process supports the data center operator in evaluating and selecting a suitable demand response option.

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Cited By

Pahlevan AZapater MCoskun AAtienza D(2021)ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power MarketsIEEE Transactions on Sustainable Computing10.1109/TSUSC.2020.29835716:2(289-305)Online publication date: 1-Apr-2021
https://doi.org/10.1109/TSUSC.2020.2983571
Howard DMa ZJorgensen B(2021)Evaluation of Industrial Energy Flexibility Potential: A Scoping Review2021 22nd IEEE International Conference on Industrial Technology (ICIT)10.1109/ICIT46573.2021.9453652(1074-1079)Online publication date: 10-Mar-2021
https://doi.org/10.1109/ICIT46573.2021.9453652
Klingert SSzilvas S(2020)Spinning gold from straw - evaluating the flexibility of data centres on power marketsEnergy Informatics10.1186/s42162-020-00110-y3:1Online publication date: 3-Aug-2020
https://doi.org/10.1186/s42162-020-00110-y
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cover image ACM Other conferences

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

June 2016

55 pages

ISBN:9781450344210

DOI:10.1145/2940679

Copyright © 2016 ACM.

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

New York, NY, United States

Publication History

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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Cited By

Pahlevan AZapater MCoskun AAtienza D(2021)ECOGreen: Electricity Cost Optimization for Green Datacenters in Emerging Power MarketsIEEE Transactions on Sustainable Computing10.1109/TSUSC.2020.29835716:2(289-305)Online publication date: 1-Apr-2021
https://doi.org/10.1109/TSUSC.2020.2983571
Howard DMa ZJorgensen B(2021)Evaluation of Industrial Energy Flexibility Potential: A Scoping Review2021 22nd IEEE International Conference on Industrial Technology (ICIT)10.1109/ICIT46573.2021.9453652(1074-1079)Online publication date: 10-Mar-2021
https://doi.org/10.1109/ICIT46573.2021.9453652
Klingert SSzilvas S(2020)Spinning gold from straw - evaluating the flexibility of data centres on power marketsEnergy Informatics10.1186/s42162-020-00110-y3:1Online publication date: 3-Aug-2020
https://doi.org/10.1186/s42162-020-00110-y
Chen HZhang YCaramanis MCoskun A(2019)EnergyQAREACM Transactions on Modeling and Performance Evaluation of Computing Systems10.1145/32431724:1(1-31)Online publication date: 24-Jan-2019
https://dl.acm.org/doi/10.1145/3243172

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