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Robust multi-objective optimization with life cycle assessment of hybrid solar combined cooling, heating and power system
Energy Conversion and Management ( IF 9.9 ) Pub Date : 2021-02-04 , DOI: 10.1016/j.enconman.2021.113868
Jiangjiang Wang , Yuan Zhou , Xutao Zhang , Zherui Ma , Yuefen Gao , Boxiang Liu , Yanbo Qin

Hybridization of solar energy technologies results in varieties of inherent characteristics of natural gas combined cooling, heating and power (CCHP) system. This work aims to propose a life cycle assessment-based robust multi-objective optimization model of hybrid solar-assisted CCHP system, which is driven by the complementarities of photovoltaic/thermal collectors and gas turbine. The environmental impact potentials including global warming, respiratory effect and acidification of hybrid system are assessed according to life cycle energy and emission inventory analysis. The optimal plan of hybrid system, using nondominated sorting genetic algorithm II, is implemented to minimize these environmental impacts, in which the robustness is incorporated as part of the search process of genetic algorithm. The sensitivity analysis of candidate Pareto solutions by transferring to linear programming sub-problem drives to the selection of new solutions with robustness requirements. A case study in a hotel building was presented to demonstrate the proposed optimization method. The key uncertain factors on optimization and system performances are discussed. The comparisons of partially and fully covered photovoltaic/thermal collectors indicate that the partially covered collectors lower the impacts of respiratory effect and acidification by 28.4% and 6.7%, respectively, by optimizing system configurations and energy compositions, and the optimum partially covered collectors with CCHP system is more cost-effective and feasible.



中文翻译:

鲁棒的多目标优化,基于寿命周期评估的混合太阳能热电联产系统

太阳能技术的混合产生了天然气固有的多种特性,包括天然气组合的冷热电联产(CCHP)系统。这项工作旨在提出一种基于生命周期评估的鲁棒多目标混合太阳能辅助CCHP系统优化模型,该模型由光伏/集热器和燃气轮机的互补性驱动。根据生命周期能量和排放清单分析评估了潜在的环境影响潜力,包括全球变暖,呼吸作用和混合系统的酸化。利用非主导排序遗传算法II实现了混合系统的最优计划,以最大程度地减少这些环境影响,其中鲁棒性被纳入遗传算法的搜索过程。通过转换为线性编程子问题驱动器,再选择具有鲁棒性要求的新解决方案,可以对候选Pareto解决方案进行敏感性分析。提出了在酒店建筑中的案例研究,以证明所提出的优化方法。讨论了优化和系统性能的关键不确定因素。比较部分和完全覆盖的光伏/集热器,表明通过优化系统配置和能量组成,部分覆盖的收集器分别将呼吸作用和酸化的影响降低了28.4%和6.7%,而采用CCHP的最佳部分覆盖的收集器该系统更具成本效益和可行性。提出了在酒店建筑中的案例研究,以证明所提出的优化方法。讨论了优化和系统性能的关键不确定因素。比较部分和完全覆盖的光伏/集热器,表明通过优化系统配置和能量组成,部分覆盖的收集器分别将呼吸作用和酸化的影响降低了28.4%和6.7%,而采用CCHP的最佳部分覆盖的收集器该系统更具成本效益和可行性。提出了在酒店建筑中的案例研究,以证明所提出的优化方法。讨论了优化和系统性能的关键不确定因素。比较部分和完全覆盖的光伏/集热器,表明通过优化系统配置和能量组成,部分覆盖的收集器分别将呼吸作用和酸化的影响降低了28.4%和6.7%,而采用CCHP的最佳部分覆盖的收集器该系统更具成本效益和可行性。

更新日期:2021-02-05
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