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Optimization of solar and heat pump complementary powered desiccant air conditioning system
Journal of Building Engineering ( IF 6.4 ) Pub Date : 2024-03-19 , DOI: 10.1016/j.jobe.2024.109084
Chuang Chen , Huaqiu Yang , Xin Li , Liu Chen , Meng Shi

The effective utilization of renewable heat sources is critical for energy saving in desiccant air conditioning systems. A new solar and heat pump complementary powered desiccant air conditioning system is proposed. The system consists of a solar and water source heat pump complementary reheat subsystem, a two-stage desiccant wheel, a three-stage air cooler, and a two-stage heat pipe exchanger. Simulation are performed in the transient simulation software TRNSYS, and the particle swarm optimization and the Hooke Jeeves algorithm with life cycle cost as the objective function are applied to optimize the collector area, the heat storage tank volume and the water-source heat pump power. The results show that the monthly average coefficient of performance of the system is 5.1, 5.6, 5.5 and 4.8 in June, July, August and September, respectively. Compared to the conventional air conditioning system, the new system has a 58.4% reduction in operation cost and a payback period of 6.6 years. The CO emission reduction rate of the new system can reach 65.2% in July and 65.1% in August, while it is the lowest in September at 62.9%. Based on the above, the new system has better energy efficiency, economic and environmental benefits.

中文翻译:

太阳能热泵互补除湿空调系统的优化

可再生热源的有效利用对于除湿空调系统的节能至关重要。提出了一种新型太阳能和热泵互补供电的干燥剂空调系统。该系统由太阳能与水源热泵互补再热子系统、两级除湿轮、三级空气冷却器和两级热管换热器组成。在瞬态仿真软件TRNSYS中进行仿真,采用粒子群优化和以生命周期成本为目标函数的Hooke Jeeves算法对集热器面积、储热箱容积和水源热泵功率进行优化。结果表明,系统6月、7月、8月和9月的月平均性能系数分别为5.1、5.6、5.5和4.8。与传统空调系统相比,新系统运行成本降低58.4%,投资回收期为6.6年。新系统的CO减排率在7月份和8月份可达到65.2%和65.1%,而9月份最低,为62.9%。综合以上,新系统具有更好的能源效率、经济效益和环境效益。
更新日期:2024-03-19
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