Icosystem Corporation, 10 Fawcett St., Cambridge, MA 02138, USA.
Ann N Y Acad Sci. 2013 Aug;1295:26-33. doi: 10.1111/nyas.12162. Epub 2013 Jun 17.
There is a growing need to increase the performance of the built environment through a combination of improved design, retrofitting of existing structures, and behavioral and policy change. Increased performance includes decreasing construction and operational costs, improving efficiency, reducing energy consumption and overall carbon footprint, and increasing the health, safety, and comfort of building occupants. Data collection and analysis are central to ongoing efforts in performance improvement. The growth of sensor and monitoring technologies, coupled with the proliferation of building automation systems, is quickly leading to an explosion in the amount, quality, and format of building performance data. What is needed are methodologies for extracting viable information from these data and using the results to effect meaningful change. Furthermore, occupant behavior and attitudes must be taken into account. This paper summarizes agent-based simulation and describes its potential as an approach to support analysis, design, and performance improvements in the built environment.
通过改进设计、既有结构的改造以及行为和政策的改变来提高建筑环境的性能,这一需求日益增长。提高性能包括降低建筑和运营成本,提高效率,减少能源消耗和整体碳足迹,以及增加建筑使用者的健康、安全和舒适度。数据收集和分析是不断努力提高性能的核心。传感器和监测技术的发展,加上建筑自动化系统的普及,正在迅速导致建筑性能数据的数量、质量和格式呈爆炸式增长。现在需要的是从这些数据中提取可行信息的方法,并利用这些结果来实现有意义的改变。此外,还必须考虑到居住者的行为和态度。本文总结了基于代理的模拟,并描述了其作为一种支持建筑环境分析、设计和性能改进的方法的潜力。