Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8111009 | Renewable and Sustainable Energy Reviews | 2018 | 24 Pages |
Abstract
Building envelope parameters and geometric configurations can considerably influence the building energy performance. However, determining the best trade-offs of different building shape and envelope configurations to yield near-optimal design alternatives with respect to their energy performance is not a straight-forward task. Consequently, different methods have been utilized to optimize building envelope parameters and geometric configurations to achieve better energy performance. The objective of this paper is to provide an extensive review of the optimization methods and their application in energy-efficient architectural building design to better identify the potentials and applicability of different optimization methods. This paper reviews the optimization research, where building envelope parameters and geometric configurations are considered remarkably as the optimization independent variable(s) and building energy consumption/demand is included as an objective in the optimization process. The associated derivative-free and derivative-based optimization methods and their application in energy-efficient building design are included in this review. In addition, decision-making approaches are discussed for multi-objective optimizations. Current optimization tools are demonstrated. Finally, crucial considerations, including limitations and suggestions for the related future studies are concluded.
Keywords
ANNWWRMOPSOATCLCCSGAACOanalytical target cascadingAlgorithmGenetic algorithmSimple genetic algorithmEnergySimulated annealingOptimizationPSOParticle swarm optimizationMulti-objective particle swarm optimizationAnt Colony OptimizationDecision makerHVACParSequential searchartificial neural networksMODAReviewwindow-to-wall ratioLife-cycle costHarmony SearchBuilding geometryBuilding envelopeheating, ventilation, and air conditioning
Related Topics
Physical Sciences and Engineering
Energy
Renewable Energy, Sustainability and the Environment
Authors
Farshad Kheiri,