Synergy optimization analysis of heat transfer performance and energy consumption in heat transfer process and its application in data centers

Zhiguang He, Haonan Xi, Jianmin Wang, Zhen Li, Jianguo Cao and Haibin Li

Applied Energy, 2022, vol. 307, issue C, No S0306261921015373

Abstract: Most industrial heat exchange processes are carried out between two fluids. Usually the thermal fluids are driven by pumps or fans. The power consumption of pumps and fans is quite high in the transport systems, especially in data centers. Nearly 60% of the computer room air conditioning (CRAC) system’s energy consumption is consumed by pumps and fans in winter. A lot of literatures discussed the heat transfer enhancement in heat transfer process but few focused on the energy consumption. In this paper, a new synergy optimization method is proposed to save energy in heat transfer process. The heat transfer constraint equations of the heat transfer process are established. Taking the energy efficiency as the objective function, the synergistic relationship between the power consumption and temperature difference is derived analytically by using variation principle. A synergy operation factor is defined to guide the practical operation optimization of heat transfer process. The closer the synergy operation factor to 1, the higher the system energy efficiency is. An experiment of a separated heat pipe system is carried out to verify the accuracy of the synergy optimization analysis. The synergy optimization analysis is implemented in a real data center, and the cooling system can save energy by 30.9% under test conditions.

Keywords: Synergy optimization analysis; Heat transfer; Energy saving; Data center (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1016/j.apenergy.2021.118276

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