结合建筑性能模拟和多目标优化的技术是建筑可持续发展的创新方向.本研究对Web of Science核心数据集和中国知网(CNKI)上发表的建筑多目标优化相关研究进行了广泛回顾,并采用文献计量软件CiteSpace进行了研究热点和发展趋势分析.本文讨论了多目标优化方法应用的最新进展、局限性和潜在的发展方向,重点阐述了现有模拟工具和优化引擎的功能、应用和发展情况.结果表明:如何实现优化工具和模拟程序的有效结合是当前多目标优化的主要挑战.参数化平台能够集成建模、模拟、优化等过程,在当前多目标优化研究中的应用日益广泛.建筑室内热环境、光环境和能耗的优化是当前研究的重点,建筑室内外风环境、声环境优化和可再生能源应用是未来研究中值得关注的方向.
Review of multi-objective optimization methods and applications in building performance simulation
Combining building performance simulation and multi-objective optimization is the innovative direction of building sustainable development.The relevant researches on building multi-objective optimization published on Web of Science core dataset and CNKI are systematically reviewed,and the research hotspots and development trends are analysed by using bibliographical software CiteSpace.The latest progress,limitations and potential development of multi-objective optimization methods are discussed,with emphasis on the functions,applications and development of existing simulation tools and optimization engines.The results show that how to effectively combine optimization tools and simulation programs is the main challenge of multi-objective optimization.The parametric platform can integrate modeling,simulation,optimization and other processes,and has been widely used in the research of multi-objective optimization.The performance optimization of indoor thermal environment,daylighting environment and energy consumption is the focus of current research,and the optimization of indoor and outdoor wind environment,sound environment and the renewable energy application are worthy of attention in future research.
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