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Integrated multi-objective optimization and agent-based building occupancy modeling for space layout planning
Journal of Building Engineering ( IF 6.7 ) Pub Date : 2020-10-20 , DOI: 10.1016/j.jobe.2020.101902
Dalia H. Dorrah , Mohamed Marzouk

With the construction industry shifting towards sustainable practices, it has become critical to incorporate sustainability measures in the design and operation of buildings. Space layout problem (SLP) in buildings is a classical problem of allocating activities to spaces with the intention of satisfying functional and proximity requirements. Research done on SLPs focused on the relative position of building activities with limited consideration of the building performance, or the comfort and well-being of its occupants. In light of this, this research proposes a two-component framework for solving SLPs in multi-purpose buildings based on their post-occupancy performance. The first component addresses the modeling and simulation of building activities. This follows a modular approach in activity design and operation, and integrates agent-based modeling (ABM) and discrete event simulation (DES) techniques with the queuing theory for modeling occupancy patterns and behaviors in each studied module. Three occupants-based metrics are set for assessing building performance which are energy consumption, flow patterns, and satisfaction. The second component focuses on finding the optimal solution for the layout problem based on the simulation and performance metrics. The multi-objective optimization problem is formulated as a Linear Assignment minimization problem. A case study of an administrative building is presented to illustrate the practical use of the framework. The results indicated that the framework provides a holistic yet detailed assessment of building performance. Moreover, it can be effectively incorporated as a decision support tool for solving large-scale layout problems to enhance the global and local operation of buildings with versatile activities.



中文翻译:

集成多目标优化和基于Agent的建筑占用模型,用于空间布局规划

随着建筑业向可持续实践的转变,将可持续性措施纳入建筑物的设计和运营已变得至关重要。建筑物中的空间布局问题(SLP)是将活动分配给空间以满足功能和邻近性要求的经典问题。对SLP的研究集中在建筑物活动的相对位置上,而很少考虑建筑物的性能或其居住者的舒适感。有鉴于此,本研究提出了一个基于两部分的框架,用于基于多功能建筑物的后占用性能来解决它​​们。第一部分处理建筑活动的建模和仿真。这遵循活动设计和操作中的模块化方法,并将基于代理的建模(ABM)和离散事件模拟(DES)技术与排队理论相结合,用于对每个研究模块中的占用模式和行为进行建模。设置了三个基于居住者的度量标准,用于评估建筑物的性能,即能耗,流动模式和满意度。第二部分着重于根据仿真和性能指标为布局问题找到最佳解决方案。将多目标优化问题表述为线性分配最小化问题。提出了一个行政大楼​​的案例研究,以说明该框架的实际使用。结果表明,该框架对建筑性能进行了全面而详细的评估。此外,

更新日期:2020-10-30
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