Distribution grid electrical performance and emission analysis of combined cooling, heating and power (CCHP)-photovoltaic (PV)-based data center and residential customers

被引:26
作者
Keskin, Ilhan [1 ]
Soykan, Gurkan [2 ]
机构
[1] Bahcesehir Univ, Dept Elect & Elect Engn, Ciragan Caddesi,Osmanpasa Mektebi Sokak 4-6, TR-34353 Istanbul, Turkiye
[2] Bahcesehir Univ, Dept Energy Syst Engn, Ciragan Caddesi,Osmanpasa Mektebi Sokak 4-6, TR-34353 Istanbul, Turkiye
关键词
Combined cooling; heating; and power; Data center; District energy networks; Power grid performance; Residential energy; Waste heat recovery; WASTE HEAT; ENERGY EFFICIENCY; CCHP; SYSTEM; OPTIMIZATION;
D O I
10.1016/j.jclepro.2023.137448
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As the number of data centers is increasing worldwide, there are concerns about their growing electricity demand on power grids and its impact on the environment. These concerns can be mitigated at the urban scale by utilizing the waste heat generated by data centers and multi-energy hub integration. Using Combined Cooling, Heating, and Power (CCHP) and Photovoltaic (PV) systems within a data center, in combination with district energy network connections, can create energy interactions with residential customers in a multi-energy hub. However, connecting large energy consumers and distributed energy systems to the electrical distribution grid presents challenges due to the conventional design of the power grid with unidirectional electricity flow. There is a lack of understanding about the grid impact of data centers with multi-energy systems regarding electrical performance parameters, energy demand, and emissions. To address these open issues, we developed an hourly energy interaction model that includes a CCHP-PV-based data center and residential customers. In addition, the CCHP-PV-based data center was operated with a cost-optimized energy scheduling. We conducted six case studies to distinguish the specific effects of CCHP, PV, and district energy network connections. The model takes into account hourly outdoor temperatures, energy prices, and varying energy demands to capture the seasonal impact on electrical performance parameters and energy results. From an energy and environmental perspective, CCHP-PV systems can eliminate the data center's electricity demand from the grid, reduce residential energy demand, and decrease carbon dioxide equivalent emissions. This cleaner production and energy exchange further support the United Nations Sustainable Development goals. The experimental results showed a 43% reduction in power loss in the distribution grid and helped the data center's main electrical bus and residential bus against the voltage drop phenomenon. The CCHP-PV-based data center with district heating and cooling connection reduced the peak hour electricity demand on the grid by 39% and annual electricity consumption from the grid by 66%. Furthermore, Greenhouse Gas Protocols (GHG) Scope-2 emissions associated with the data center's grid electricity consumption and only residential electricity consumption were reduced by 77% and 36%, respectively.
引用
收藏
页数:15
相关论文
共 56 条
[41]   Robust optimal energy management of data center equipped with multi-energy conversion technologies [J].
Tian, Qiannan ;
Guo, Qun ;
Nojavan, Sayyad ;
Sun, Xianke .
JOURNAL OF CLEANER PRODUCTION, 2021, 329
[42]  
Turkish Statistical Institute, 2020, FAM DAT
[43]  
U.K. Department of Energy and Climate Change, 2022, MEAS DOM HOT WAT CON
[44]  
UCTEA Chamber of Mechanical Engineers, THERM INS REQ BUILD
[45]  
Vermeulen P., 2020, STATE DUTCH DATA CTR
[46]   Utilizing data center waste heat in district heating Impacts on energy efficiency and prospects for low-temperature district heating networks [J].
Wahlroos, Mikko ;
Parssinen, Matti ;
Manner, Jukka ;
Syri, Sanna .
ENERGY, 2017, 140 :1228-1238
[47]   Sustainability Analysis of Green Data Centers With CCHP and Waste Heat Reuse Systems [J].
Wan, Jianxiong ;
Zhou, Jie ;
Gui, Xiang .
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2021, 6 (01) :155-167
[48]   Optimal Energy Scheduling for Data Center With Energy Nets Including CCHP and Demand Response [J].
Wang, Dongxiao ;
Xie, Changhong ;
Wu, Runji ;
Lai, Chun Sing ;
Li, Xuecong ;
Zhao, Zhuoli ;
Wu, Xueqing ;
Xu, Yi ;
Lai, Loi Lei ;
Wei, Jinxiao .
IEEE ACCESS, 2021, 9 :6137-6151
[49]   Modelling and optimization of CHP based district heating system with renewable energy production and energy storage [J].
Wang, Haichao ;
Yin, Wusong ;
Abdollahi, Elnaz ;
Lahdelma, Risto ;
Jiao, Wenling .
APPLIED ENERGY, 2015, 159 :401-421
[50]   Flexible Multi-Energy Scheduling Scheme for Data Center to Facilitate Wind Power Integration [J].
Wang, Peng ;
Cao, Yujie ;
Ding, Zhaohao .
IEEE ACCESS, 2020, 8 :88876-88891