Shan, R.; Junghans, L. Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review. Sustainability2023, 15, 15596.
Shan, R.; Junghans, L. Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review. Sustainability 2023, 15, 15596.
Shan, R.; Junghans, L. Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review. Sustainability2023, 15, 15596.
Shan, R.; Junghans, L. Multi-Objective Optimization for High-Performance Building Facade Design: A Systematic Literature Review. Sustainability 2023, 15, 15596.
Abstract
Building facade design plays an essential role in enhancing energy efficiency and reducing environmental impact in high-performance building design. Balancing the conflicts among various building facade design parameters to satisfy different optimization objectives constitutes a highly complex optimization problem. The rapidly increasing number of studies demonstrates a significant interest in implementing multi-objective optimization methods to tackle building facade optimization problems.
This study conducts a systematic review of optimization methods for building facade optimization (BFO). The optimization objectives and design variables are categorized based on their characteristics. The efficiency and effectiveness of optimization algorithms in addressing BFO problems are compared. Building optimization techniques and tools are showcased, along with their functions and limitations.
Key findings highlight the robust feasibility and effectiveness of optimization algorithms, methods, and techniques in resolving a diverse range of BFO challenges. The limitations, challenges, and future potential of these methods are summarized and proposed.
Keywords
Systematic review; Optimization; Heuristic algorithm; Multi-objective; Building façade
Subject
Engineering, Architecture, Building and Construction
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
