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Journal of Thermal Science

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2025 , Vol. 34 >Issue 1: 188 - 205

DOI: https://doi.org/10.1007/s11630-024-2043-8

Performance Analysis of a Coupled System based on Organic Rankine Cycle and Double Effect Absorption Refrigeration for Waste Heat Recovery in Data Center

  • LI Peng ,
  • XU Jiaqi ,
  • WANG Binbin ,
  • LIU Jianyang ,
  • ZHAO Wensheng ,
  • HAN Zhonghe
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  • 1. School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
    2. Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology, North China Electric Power University, Baoding 071003, China

网络出版日期: 2025-01-09

基金资助

The authors gratefully acknowledge the support provided by the National Natural Science Foundation of China (No. 52106010), the Beijing Natural Science Foundation (3232037), and the Fundamental Research Funds for the Central Universities (No. 2024MS150).

版权

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2024
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Performance Analysis of a Coupled System based on Organic Rankine Cycle and Double Effect Absorption Refrigeration for Waste Heat Recovery in Data Center

  • LI Peng ,
  • XU Jiaqi ,
  • WANG Binbin ,
  • LIU Jianyang ,
  • ZHAO Wensheng ,
  • HAN Zhonghe
Expand
  • 1. School of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China
    2. Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology, North China Electric Power University, Baoding 071003, China

Online published: 2025-01-09

Supported by

The authors gratefully acknowledge the support provided by the National Natural Science Foundation of China (No. 52106010), the Beijing Natural Science Foundation (3232037), and the Fundamental Research Funds for the Central Universities (No. 2024MS150).

Copyright

Science Press, Institute of Engineering Thermophysics, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2024
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摘要

在数据中心运行过程中，会产生大量的低品位废热。为了回收废热，提出了太阳能集热器、双效吸收式制冷和有机朗肯循环的耦合系统。对系统性能进行了详细的分析。对于有机朗肯循环，选择了五种有机工质:R245fa、R245ca、R123、R11和R113。R245fa、R113和R245ca分别获得最大净输出功率、热效率和㶲效率。在双效吸收式制冷系统中，蒸发温度、冷凝温度和发生器压力影响COP和㶲效率。在发生器压力不变的情况下，COP随蒸发温度的升高和冷凝温度的降低而增大。当COP达到1.3时，随着蒸发温度或冷凝温度的变化，COP略有降低。制冷系统的㶲效率与COP的变化趋势相同，㶲效率最大值出现在0.32左右。同时，定义了一个新的性能指标rPUE来评价数据中心的电力利用效率，并且采用多目标优化方法优化了流量分配比和热源温度。结果表明：当质量流量分配率为0.6，热源温度为168.5℃时，系统的rPUE和单位总生产成本得到最优解。

关键词： data center; solar heat collection; organic Rankine cycle; double effect absorption refrigeration; waste heat recovery

本文引用格式

LI Peng , XU Jiaqi , WANG Binbin , LIU Jianyang , ZHAO Wensheng , HAN Zhonghe . Performance Analysis of a Coupled System based on Organic Rankine Cycle and Double Effect Absorption Refrigeration for Waste Heat Recovery in Data Center[J]. 热科学学报, 2025 , 34(1) : 188 -205 . DOI: 10.1007/s11630-024-2043-8

Abstract

During data center operation, it generates a significant volume of low-grade waste heat. To recover waste heat, a coupled system including solar collector, double effect absorption refrigeration and organic Rankine cycle is proposed. The system performance is analyzed in detail. For the organic Rankine cycle, five organic working fluids (R245fa, R245ca, R123, R11, and R113) are selected. R245fa, R113 and R245ca obtain the maximum net power output, thermal efficiency and exergy efficiency, respectively. In the double effect absorption refrigeration system, the evaporation temperature, condensation temperature, and generation pressure affect the COP and exergy efficiency. When the generator pressure is unchanged, the COP increases with increasing evaporation temperature and decreasing condensation temperature. When the COP reaches 1.3, the COP slightly decreases as the evaporation temperature or condensation temperature changes. Similarly, the exergy efficiency of refrigeration systems exhibits the same trend as the COP, and the exergy efficiency maximum value appears at approximately 0.32. A new performance indicator, rPUE, was defined to evaluate the data center power utilization efficiency. The flow distribution ratio and heat source temperature were optimized with multi-objective optimization. When the mass flow distribution rate is 0.6 and the heat source temperature is 441.5 K, rPUE and the total unit production costs of the system obtain the optimal solution.

Key words： data center; solar heat collection; organic Rankine cycle; double effect absorption refrigeration; waste heat recovery

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