| description abstract | Federal and state governments have recently expanded their regulatory mandates and incentives to promote renewable energy (RE) use in their planned new buildings. This requires planners to analyze and optimize their preliminary design decisions, such as building dimensions, orientation, location, and window-to-wall ratio, to maximize the use of RE in their buildings. To support designers in this critical task, this paper presents a novel model for optimizing preliminary building designs. The two optimization objectives of the optimization model focus on maximizing harvested RE and minimizing construction cost by identifying optimal building dimensions, orientation, window-to-wall ratio, and site layout. The optimization model complies with all design requirements, such as building dimensions, natural lighting, and cost-effectiveness constraints. The model performance is analyzed using two application examples to illustrate its capabilities in considering the impact of the surrounding environment on design decisions. The results of this analysis confirm the model contributions in identifying a set of nondominated optimal solutions that provide tradeoffs among the two optimization objectives of the developed model. These capabilities are expected to support building planners in identifying an optimal preliminary building design that maximizes the use of RE while minimizing all related construction costs. | |
