A multi-criteria optimal operation framework for renewable energy integrated data center microgrid with waste heat recovery

Yuanzheng Li; Jingjing Huang; Yun Liu; Hao Wang; Yongzhen Wang; Xiaomeng Ai

doi:10.1109/ICPS51807.2021.9416605

A multi-criteria optimal operation framework for renewable energy integrated data center microgrid with waste heat recovery

Yuanzheng Li, Jingjing Huang, Yun Liu, Hao Wang, Yongzhen Wang, Xiaomeng Ai

Department of Data Science & AI

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

7 Citations (Scopus)

Abstract

The rapid development of data centers (DCs) leads to a huge challenge in their energy consumption and environmental impact. It is promising to establish data center microgrid (DCMG) with renewable energy generation and waste heat recovery system to address these issues. However, the efficient energy management of DCMG is to be pursued. In this paper, we propose a multi-criteria optimal operation framework for the DCMG, considering coordinated scheduling of energy supply and demand. In this framework, multiple criteria are comprehensively considered via a multi-criteria optimization (MCO) approach. Then, we adopt the augmented e-constraint algorithm to address the corresponding MCO problem. Afterwards, a balanced decision making method is further proposed to determine the optimal scheduling solution. Finally, case study and results analysis verify the effectiveness of proposed multi-criteria optimal operation fr-amework for the DCMG.

Original language	English
Title of host publication	2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference (I&CPS 2021)
Editors	Sergio Panetta, Kent Sayler
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	220-230
Number of pages	11
ISBN (Electronic)	9781728186320
ISBN (Print)	9781728186337
DOIs	https://doi.org/10.1109/ICPS51807.2021.9416605
Publication status	Published - 27 Apr 2021
Event	IEEE/IAS Industrial and Commercial Power Systems Technical Conference 2021 - Online, Las Vegas, United States of America Duration: 27 Apr 2021 → 30 Apr 2021 Conference number: 57th https://attend.ieee.org/icps-2021/ (Website)

Publication series

Name	Conference Record - Industrial and Commercial Power Systems Technical Conference
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Volume	2021-April
ISSN (Print)	2158-4893
ISSN (Electronic)	2158-4907

Conference

Conference	IEEE/IAS Industrial and Commercial Power Systems Technical Conference 2021
Abbreviated title	I and CPS 2021
Country/Territory	United States of America
City	Las Vegas
Period	27/04/21 → 30/04/21
Internet address	https://attend.ieee.org/icps-2021/ (Website)

Keywords

Data center microgrid
decision making
multi-criteria optimization
renewable energy
scheduling

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ICPS51807.2021.9416605

Cite this

Li, Y., Huang, J., Liu, Y., Wang, H., Wang, Y., & Ai, X. (2021). A multi-criteria optimal operation framework for renewable energy integrated data center microgrid with waste heat recovery. In S. Panetta, & K. Sayler (Eds.), 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference (I&CPS 2021) (pp. 220-230). (Conference Record - Industrial and Commercial Power Systems Technical Conference; Vol. 2021-April). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICPS51807.2021.9416605

Li, Yuanzheng ; Huang, Jingjing ; Liu, Yun et al. / A multi-criteria optimal operation framework for renewable energy integrated data center microgrid with waste heat recovery. 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference (I&CPS 2021). editor / Sergio Panetta ; Kent Sayler. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2021. pp. 220-230 (Conference Record - Industrial and Commercial Power Systems Technical Conference).

@inproceedings{512fd0f3cf0342aa8f9ec452235dede6,

title = "A multi-criteria optimal operation framework for renewable energy integrated data center microgrid with waste heat recovery",

abstract = "The rapid development of data centers (DCs) leads to a huge challenge in their energy consumption and environmental impact. It is promising to establish data center microgrid (DCMG) with renewable energy generation and waste heat recovery system to address these issues. However, the efficient energy management of DCMG is to be pursued. In this paper, we propose a multi-criteria optimal operation framework for the DCMG, considering coordinated scheduling of energy supply and demand. In this framework, multiple criteria are comprehensively considered via a multi-criteria optimization (MCO) approach. Then, we adopt the augmented e-constraint algorithm to address the corresponding MCO problem. Afterwards, a balanced decision making method is further proposed to determine the optimal scheduling solution. Finally, case study and results analysis verify the effectiveness of proposed multi-criteria optimal operation fr-amework for the DCMG. ",

keywords = "Data center microgrid, decision making, multi-criteria optimization, renewable energy, scheduling",

author = "Yuanzheng Li and Jingjing Huang and Yun Liu and Hao Wang and Yongzhen Wang and Xiaomeng Ai",

note = "Funding Information: This work is supported by the National Natural Science Foundation of China under Grant 62073148 and 51807120. The work of Yongzhen Wang is supported by Youth Program of National Natural Science Foundation of China under Grant 52006114. Publisher Copyright: {\textcopyright} 2021 IEEE.; IEEE/IAS Industrial and Commercial Power Systems Technical Conference 2021, I and CPS 2021 ; Conference date: 27-04-2021 Through 30-04-2021",

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Li, Y, Huang, J, Liu, Y, Wang, H, Wang, Y & Ai, X 2021, A multi-criteria optimal operation framework for renewable energy integrated data center microgrid with waste heat recovery. in S Panetta & K Sayler (eds), 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference (I&CPS 2021). Conference Record - Industrial and Commercial Power Systems Technical Conference, vol. 2021-April, IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 220-230, IEEE/IAS Industrial and Commercial Power Systems Technical Conference 2021, Las Vegas, Nevada, United States of America, 27/04/21. https://doi.org/10.1109/ICPS51807.2021.9416605

A multi-criteria optimal operation framework for renewable energy integrated data center microgrid with waste heat recovery. / Li, Yuanzheng; Huang, Jingjing; Liu, Yun et al.
2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference (I&CPS 2021). ed. / Sergio Panetta; Kent Sayler. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2021. p. 220-230 (Conference Record - Industrial and Commercial Power Systems Technical Conference; Vol. 2021-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research

TY - GEN

T1 - A multi-criteria optimal operation framework for renewable energy integrated data center microgrid with waste heat recovery

AU - Li, Yuanzheng

AU - Huang, Jingjing

AU - Liu, Yun

AU - Wang, Hao

AU - Wang, Yongzhen

AU - Ai, Xiaomeng

N1 - Conference code: 57th

PY - 2021/4/27

Y1 - 2021/4/27

N2 - The rapid development of data centers (DCs) leads to a huge challenge in their energy consumption and environmental impact. It is promising to establish data center microgrid (DCMG) with renewable energy generation and waste heat recovery system to address these issues. However, the efficient energy management of DCMG is to be pursued. In this paper, we propose a multi-criteria optimal operation framework for the DCMG, considering coordinated scheduling of energy supply and demand. In this framework, multiple criteria are comprehensively considered via a multi-criteria optimization (MCO) approach. Then, we adopt the augmented e-constraint algorithm to address the corresponding MCO problem. Afterwards, a balanced decision making method is further proposed to determine the optimal scheduling solution. Finally, case study and results analysis verify the effectiveness of proposed multi-criteria optimal operation fr-amework for the DCMG.

AB - The rapid development of data centers (DCs) leads to a huge challenge in their energy consumption and environmental impact. It is promising to establish data center microgrid (DCMG) with renewable energy generation and waste heat recovery system to address these issues. However, the efficient energy management of DCMG is to be pursued. In this paper, we propose a multi-criteria optimal operation framework for the DCMG, considering coordinated scheduling of energy supply and demand. In this framework, multiple criteria are comprehensively considered via a multi-criteria optimization (MCO) approach. Then, we adopt the augmented e-constraint algorithm to address the corresponding MCO problem. Afterwards, a balanced decision making method is further proposed to determine the optimal scheduling solution. Finally, case study and results analysis verify the effectiveness of proposed multi-criteria optimal operation fr-amework for the DCMG.

KW - Data center microgrid

KW - decision making

KW - multi-criteria optimization

KW - renewable energy

KW - scheduling

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T3 - Conference Record - Industrial and Commercial Power Systems Technical Conference

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A2 - Sayler, Kent

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Piscataway NJ USA

T2 - IEEE/IAS Industrial and Commercial Power Systems Technical Conference 2021

Y2 - 27 April 2021 through 30 April 2021

ER -

Li Y, Huang J, Liu Y, Wang H, Wang Y, Ai X. A multi-criteria optimal operation framework for renewable energy integrated data center microgrid with waste heat recovery. In Panetta S, Sayler K, editors, 2021 IEEE/IAS 57th Industrial and Commercial Power Systems Technical Conference (I&CPS 2021). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2021. p. 220-230. (Conference Record - Industrial and Commercial Power Systems Technical Conference). doi: 10.1109/ICPS51807.2021.9416605

A multi-criteria optimal operation framework for renewable energy integrated data center microgrid with waste heat recovery

Abstract

Publication series

Conference

Keywords

UN SDGs

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