Feasible heating systems have been designed to increase the availability of open-air swimming pools in winter in subtropical climate regions. However, the approach to optimally size the main components of the system from multiple aspects is lacking. A techno-economic optimization method for swimming pool heating systems is proposed here. Minimizing the lifecycle cost of the system while ensuring the thermal comfort of the pool are considered as the optimization objectives. The volume of phase change material storage tank and the heating capacity of air-source heat pumps are selected as design variables. To improve computational efficiency, surrogate models are developed using the response surface approach, in which the dataset is generated from the simulation platform established using MATLAB and TRNSYS. Generic algorithm and non-dominated sorting genetic algorithm II are adopted to conduct single-objective and double-objective optimizations, respectively. Case studies indicate that optimal combinations for the size of main components can be identified using the proposed optimization approach. The energy and economic performance of the heating system are enhanced after optimization. The proposed techno-economic optimization method provides an instructive guideline for the optimal design of swimming pool heating systems.

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冬季应用PCM储罐露天游泳池加热系统的技术经济优化

已经设计了可行的供暖系统，以增加亚热带气候地区冬季露天游泳池的可用性。然而，缺乏从多个方面优化系统主要组件大小的方法。这里提出了一种游泳池加热系统的技术经济优化方法。将系统的生命周期成本最小化，同时确保水池的热舒适性作为优化目标。选择相变材料储罐容积和空气源热泵的加热能力作为设计变量。为了提高计算效率，使用响应面方法开发了替代模型，其中数据集是从使用 MATLAB 和 TRNSYS 建立的仿真平台生成的。采用通用算法和非支配排序遗传算法Ⅱ分别进行单目标优化和双目标优化。案例研究表明，可以使用建议的优化方法确定主要组件尺寸的最佳组合。优化后的供热系统的能源和经济性能得到提高。所提出的技术经济优化方法为游泳池加热系统的优化设计提供了指导方针。优化后的供热系统的能源和经济性能得到提高。所提出的技术经济优化方法为游泳池加热系统的优化设计提供了指导方针。优化后的供热系统的能源和经济性能得到提高。所提出的技术经济优化方法为游泳池加热系统的优化设计提供了指导方针。