Quantitative Evaluation of Data Centers’ Participation in Demand Side Management

In recent years, the rapid increase in the number of internet users and widespread usage of internet applications have obliged large servers and networking equipment to manage large data stack and optimize the instantaneous transmission of digital information. The COVID-19 Pandemic has also caused a...

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Main Authors: Mehmet Turker Takci, Tuba Gozel, Mehmet Hakan Hocaoglu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9328111/
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spelling doaj-ebf155e99875493cabc7e4084612fb8e2021-03-30T15:14:57ZengIEEEIEEE Access2169-35362021-01-019148831489610.1109/ACCESS.2021.30522049328111Quantitative Evaluation of Data Centers&#x2019; Participation in Demand Side ManagementMehmet Turker Takci0https://orcid.org/0000-0002-5417-6621Tuba Gozel1https://orcid.org/0000-0003-4798-0635Mehmet Hakan Hocaoglu2https://orcid.org/0000-0001-6528-3812Department of Electronics Engineering, Gebze Technical University, Kocaeli, TurkeyDepartment of Electronics Engineering, Gebze Technical University, Kocaeli, TurkeyDepartment of Electronics Engineering, Gebze Technical University, Kocaeli, TurkeyIn recent years, the rapid increase in the number of internet users and widespread usage of internet applications have obliged large servers and networking equipment to manage large data stack and optimize the instantaneous transmission of digital information. The COVID-19 Pandemic has also caused an increase in data exchanges and digital information generation. In order to manage large-scale data, there is a need for gigantic data centers (DCs) which are tremendous energy consumers and have relatively flexible loads that are easier to control by means of shifting in time and space. Therefore, DCs can be regarded as dispatchable loads and are considered good candidates for participating in demand side management (DSM) programs for power curve smoothing and compensation of power fluctuation in electrical power systems. In this paper, the question of why DCs should participate in DSM has been investigated rather than the technical methods used in DSM. The amount of DCs' participation energy is used by peak shaving/shifting method for power curve smoothing using actual data. The possible environmental and financial effects of it for Turkey and all the world have been carried out. The study results show that DCs' participation in DSM for Turkey decreases peak load by up to 2.18%, defers up to 34% of the installed power plants launched in 2019, and improves load and loss factors by up to 2.2% and 4.3% respectively. Additionally, global DC's participation in DSM decreases the peak point by up to 0.77% and reduces CO<sub>2</sub> emission by 0.03%.https://ieeexplore.ieee.org/document/9328111/Demand side managementelectricity marketdata centerenergy efficiencypeak shaving<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">CO</italic>₂ emission reduction
collection DOAJ
language English
format Article
sources DOAJ
author Mehmet Turker Takci
Tuba Gozel
Mehmet Hakan Hocaoglu
spellingShingle Mehmet Turker Takci
Tuba Gozel
Mehmet Hakan Hocaoglu
Quantitative Evaluation of Data Centers&#x2019; Participation in Demand Side Management
IEEE Access
Demand side management
electricity market
data center
energy efficiency
peak shaving
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">CO</italic>₂ emission reduction
author_facet Mehmet Turker Takci
Tuba Gozel
Mehmet Hakan Hocaoglu
author_sort Mehmet Turker Takci
title Quantitative Evaluation of Data Centers&#x2019; Participation in Demand Side Management
title_short Quantitative Evaluation of Data Centers&#x2019; Participation in Demand Side Management
title_full Quantitative Evaluation of Data Centers&#x2019; Participation in Demand Side Management
title_fullStr Quantitative Evaluation of Data Centers&#x2019; Participation in Demand Side Management
title_full_unstemmed Quantitative Evaluation of Data Centers&#x2019; Participation in Demand Side Management
title_sort quantitative evaluation of data centers&#x2019; participation in demand side management
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2021-01-01
description In recent years, the rapid increase in the number of internet users and widespread usage of internet applications have obliged large servers and networking equipment to manage large data stack and optimize the instantaneous transmission of digital information. The COVID-19 Pandemic has also caused an increase in data exchanges and digital information generation. In order to manage large-scale data, there is a need for gigantic data centers (DCs) which are tremendous energy consumers and have relatively flexible loads that are easier to control by means of shifting in time and space. Therefore, DCs can be regarded as dispatchable loads and are considered good candidates for participating in demand side management (DSM) programs for power curve smoothing and compensation of power fluctuation in electrical power systems. In this paper, the question of why DCs should participate in DSM has been investigated rather than the technical methods used in DSM. The amount of DCs' participation energy is used by peak shaving/shifting method for power curve smoothing using actual data. The possible environmental and financial effects of it for Turkey and all the world have been carried out. The study results show that DCs' participation in DSM for Turkey decreases peak load by up to 2.18%, defers up to 34% of the installed power plants launched in 2019, and improves load and loss factors by up to 2.2% and 4.3% respectively. Additionally, global DC's participation in DSM decreases the peak point by up to 0.77% and reduces CO<sub>2</sub> emission by 0.03%.
topic Demand side management
electricity market
data center
energy efficiency
peak shaving
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url https://ieeexplore.ieee.org/document/9328111/
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