太阳能驱动多联供系统的热-经济分析与优化

doi:10.6040/j.issn.1672-3961.0.2026.020

摘要/Abstract

摘要： 提出一种太阳能驱动的多联供系统,以满足机场等大型公共建筑综合能源高效供给需求,利用抛物槽式太阳能集热器(parabolic trough solar collector, PTSC)吸收太阳能并驱动跨临界CO₂循环(transcritical carbon dioxide cycle, TRCC),同时耦合液化天然气冷能利用模块以提升系统整体性能。通过多能耦合与能量梯级利用,可实现电能、冷能与热能的协同生产。从能量、及经济学角度对系统进行综合评估,并采用反向传播神经网络-非支配排序遗传算法-II-优劣解距离法协同方法开展多目标优化研究。结果表明,在设计工况下,系统发电效率、能量效率和效率分别为9.015%、35.56%和11.22%,投资回收期为2.923 a,PTSC子系统是损与成本的主要来源。参数分析表明,TRCC循环参数、导热油流量及太阳辐射强度对系统性能和经济性具有显著影响。多目标优化后,系统能量效率和效率分别提高至38.10%和13.30%,投资回收期缩短至2.645 a。该研究可为机场等大型公共建筑清洁、高效综合能源供应提供理论依据与技术参考。

关键词: 太阳能, 大型公共建筑, 多联供系统, 热-经济分析, 多目标优化

Abstract: A solar-driven multi-generation system was proposed to achieve efficient and sustainable integrated energy supply for large-scale public infrastructures, such as airports. The system employed a parabolic trough solar collector(PTSC)to harvest solar energy for driving a transcritical carbon dioxide cycle(TRCC), and was further integrated with a liquefied natural gas cold energy utilization module to enhance overall system performance. Through multi-energy coupling and energy cascade utilization, the system enabled the coordinated production of electricity, cooling, and heating. A comprehensive evaluation of the system was conducted from the perspectives of energy, exergy, and economic performance, and a multi-objective optimization framework combining backpropagation neural networks, the Non-dominated Sorting Genetic Algorithm II, and the Technique for Order Preference by Similarity to an Ideal Solution was applied. Results indicated that under design conditions, the power generation efficiency, energy efficiency, and exergy efficiency reached 9.015%, 35.56%, and 11.22%, respectively, with a payback period of 2.923 a. The PTSC subsystem was identified as the primary contributor to exergy destruction and cost. Parametric analysis showed that TRCC cycle parameters, heat transfer oil mass flow rate, and solar irradiance significantly affected system performance and economic feasibility. After multi-objective optimization, the energy efficiency and exergy efficiency increased to 38.10%, and 13.30%, respectively, while the payback period was reduced to 2.645 a. The proposed system demonstrated strong potential for providing clean and efficient integrated energy supply to large public buildings such as airports.

Key words: solar energy, large-scale public buildings, polygeneration system, thermo-economic analysis, multi-objective optimization

中图分类号:

TK01+9

马秉钰,郭磊,荣繁华,盛雪柔,侯越花,袁学良. 太阳能驱动多联供系统的热-经济分析与优化[J]. 山东大学学报 (工学版), 2026, 56(5): 192-200.

Ma Bingyu, Guo Lei, Rong Fanhua, Sheng Xuerou, Hou Yuehua, Yuan Xueliang. Thermo-economic analysis and optimization of a solar-driven polygeneration system[J]. Journal of Shandong University(Engineering Science), 2026, 56(5): 192-200.

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