Sustainability Analysis of Green Data Centers With CCHP and Waste Heat Reuse Systems

被引:28
作者
Wan, Jianxiong [1 ,2 ]
Zhou, Jie [1 ,2 ]
Gui, Xiang [1 ,3 ]
机构
[1] Inner Mongolia Univ Technol & Inner Mongolia Auto, Hohhot 010062, Peoples R China
[2] Technol Res Ctr Big Data Based Software Serv, Hohhot 010062, Peoples R China
[3] Massey Univ, Dept Mech & Elect Engn, SF&AT, Palmerston North, New Zealand
来源
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING | 2021年 / 6卷 / 01期
基金
中国国家自然科学基金;
关键词
Data centers; Waste heat; Resistance heating; Trigeneration; Energy management; Data center sustainability; combined cooling; heating; and power (CCHP) system; waste heat reuse (WHR); energy management; OPERATION STRATEGY; OPTIMAL-DESIGN; POWER-SYSTEM; EXERGY ANALYSIS; ENERGY; RECOVERY; OPTIMIZATION; TEMPERATURE; MODEL; FEASIBILITY;
D O I
10.1109/TSUSC.2020.2979473
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Data centers worldwide consume a large amount of energy and pose serious threats to the environment. Combined cooling, heating, and power (CCHP) and waste heat reuse (WHR) systems are two effective approaches to improve the data center energy efficiency. However, whether and to what extent the combination of them can bring further performance improvement have not been explored yet. Moreover, it is unclear how to manage the energy flow in such a hybrid system. In this article, we try to answer these questions by proposing a data center energy architecture that includes both CCHP and WHR technologies. We formulate the energy management problem as two optimization problems with different objectives. By analytically solving the optimization problems, two energy management strategies, namely, Following the electrical load with waste heat reuse (FEL-WHR) and operating cost-aware energy management with waste heat reuse (OCM-WHR), are developed. We evaluate the performance of proposed solutions by extensive simulations using a real-world workload trace from a production data center. Numerical results suggest that the CCHP and WHR technologies generally reduce the operating cost and are more environmental friendly. If the power generation efficiency of CCHP system is high, the impact of WHR will be more conspicuous (up to 8 percent improvement) and FEL-WHR is recommended because it achieves better sustainability at an operating cost comparable to OCM-WHR. Otherwise, WHR only improves the sustainability trivially, and the energy management policy should be carefully chosen according to the data center operator's objective.
引用
收藏
页码:155 / 167
页数:13
相关论文
共 59 条
[21]   Thermodynamic feasibility of harvesting data center waste heat to drive an absorption chiller [J].
Haywood, Anna ;
Sherbeck, Jon ;
Phelan, Patrick ;
Varsamopoulos, Georgios ;
Gupta, Sandeep K. S. .
ENERGY CONVERSION AND MANAGEMENT, 2012, 58 :26-34
[22]   The relationship among CPU utilization, temperature, and thermal power for waste heat utilization [J].
Haywood, Anna M. ;
Sherbeck, Jon ;
Phelan, Patrick ;
Varsamopoulos, Georgios ;
Gupta, Sandeep K. S. .
ENERGY CONVERSION AND MANAGEMENT, 2015, 95 :297-303
[23]   Analysis of a district heating system using waste heat in a distributed cooling data center [J].
He, Zhiguang ;
Ding, Tao ;
Liu, Yu ;
Li, Zhen .
APPLIED THERMAL ENGINEERING, 2018, 141 :1131-1140
[24]   A fuzzy multi-criteria decision-making model for CCHP systems driven by different energy sources [J].
Jing, You-Yin ;
Bai, He ;
Wang, Jiang-Jiang .
ENERGY POLICY, 2012, 42 :286-296
[25]   Exergy analysis of an ionic-liquid absorption refrigeration system utilizing waste-heat from datacenters [J].
Kim, Yoon Jo ;
Gonzalez, Miguel .
INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID, 2014, 48 :26-37
[26]   Energy optimization model for a CCHP system with available gas turbines [J].
Kong, XQ ;
Wang, RZ ;
Huang, XH .
APPLIED THERMAL ENGINEERING, 2005, 25 (2-3) :377-391
[27]  
Lavallee B., 2017, DATA CTR GOING GREEN
[28]   Optimization and evaluation of CCHP systems considering incentive policies under different operation strategies [J].
Li, Longxi ;
Yu, Shiwei ;
Mu, Hailin ;
Li, Huanan .
ENERGY, 2018, 162 :825-840
[29]   Optimization and analysis of CCHP system based on energy loads coupling of residential and office buildings [J].
Li, Longxi ;
Mu, Hailin ;
Gao, Weijun ;
Li, Miao .
APPLIED ENERGY, 2014, 136 :206-216
[30]   Optimal design and operation strategy for integrated evaluation of CCHP (combined cooling heating and power) system [J].
Li, Miao ;
Mu, Hailin ;
Li, Nan ;
Ma, Baoyu .
ENERGY, 2016, 99 :202-220