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<p>The increasing demand for energy-efficient cooling solutions has led to the development of hybrid adsorption cooling systems (HACS), which combine vapor compression chillers (VCC) with adsorption chillers (ADC). This study presents a comparative analysis of two HACS configurations—cascade and sub-cooling—in terms of energy savings and overall coefficient of performance (COP<sub>o</sub>) across a cooling load range of 14 kW to 28 kW. A mathematical model was developed and validated using MATLAB and CoolProp, with the ADC using SWS-1L/water and the VCC using R410A as the working fluid. The results revealed that the cascade HACS offers superior energy efficiency up to a critical cooling load of 24 kW, beyond which the sub-cooling HACS outperforms in both energy savings and COP<sub>o</sub>. Furthermore, the study introduced a mass flow rate control strategy for the sub-condenser in the sub-cooling HACS, demonstrating its effectiveness in managing cooling loads above the critical threshold. These findings provide essential insights for optimizing the operation of HACS to achieve maximum energy efficiency while meeting varying cooling demands.</p>

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Critical load thresholds and energy optimization in hybrid adsorption cooling systems

  • 期刊论文

  • 发表日期：

    2025年3月31日

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  • Mahdi Koushaeian,
  • Xuan Quang Duong,
  • Abdullah,
  • Nehad Ali Shah,
  • Jinyoung Chang,
  • Jae Dong Chung

摘要

The increasing demand for energy-efficient cooling solutions has led to the development of hybrid adsorption cooling systems (HACS), which combine vapor compression chillers (VCC) with adsorption chillers (ADC). This study presents a comparative analysis of two HACS configurations—cascade and sub-cooling—in terms of energy savings and overall coefficient of performance (COPo) across a cooling load range of 14 kW to 28 kW. A mathematical model was developed and validated using MATLAB and CoolProp, with the ADC using SWS-1L/water and the VCC using R410A as the working fluid. The results revealed that the cascade HACS offers superior energy efficiency up to a critical cooling load of 24 kW, beyond which the sub-cooling HACS outperforms in both energy savings and COPo. Furthermore, the study introduced a mass flow rate control strategy for the sub-condenser in the sub-cooling HACS, demonstrating its effectiveness in managing cooling loads above the critical threshold. These findings provide essential insights for optimizing the operation of HACS to achieve maximum energy efficiency while meeting varying cooling demands.