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Multi-objective optimization for sizing multi-source renewable energy systems in the community center of a residential apartment complex

机译：在住宅公寓社区中心施胶多源可再生能源系统的多目标优化

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Renewable energy systems (RESs) in urban areas must meet high energy demands with a limited space and satisfy the institutional requirements to reduce greenhouse gas (GHG) emissions. This study derives the RES design options that covers all building loads, meet the institutional requirements, and minimize the initial investment cost for a community center in an urban residential apartment complex. To achieve this, a multiobjective optimization method was employed. TRNSYS was used for the RES system analysis, and the main design variables of the RES were optimized using the developed tool. The Pareto solutions were obtained by differentiation of the initial design and they were derived through optimization. The optimal solutions required an initial investment cost that was 13.5-20.9% less than the initial designs and yielded an RES generation 5.2-24.4% higher than the initial designs. Therefore, they can sufficiently meet the institutional requirements.
机译：城市地区可再生能源系统（RESS）必须满足高能源需求，空间有限，满足减少温室气体（GHG）排放的机构要求。 本研究源于涵盖所有建筑负荷，符合机构要求的res设计选项，并最大限度地减少城市住宅公寓综合体中社区中心的初始投资成本。 为此，采用了一种多目标优化方法。 TRNSYS用于RES系统分析，使用开发工具优化RES的主要设计变量。 通过初始设计的分化获得Pareto溶液，并通过优化来衍生。 最优解决方案需要初始投资成本，比初始设计少13.5-20.9％，并产生比初始设计高5.2-24.4％的res。 因此，他们可以充分满足制度要求。

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