An Integrated Decision-Making Framework for Mitigating the Impact of Urban Heat Islands on Energy Consumption and Thermal Comfort of Residential Buildings

• Published in: Sustainability 2023-06, Vol.15 (12), p.9674
• Main Authors: Turhan, Cihan, Atalay, Ali Serdar, Gokcen Akkurt, Gulden
• Format: Article
• Language: English
• Subjects: Air temperature; Albedo; Artificial intelligence; Buildings; Capital costs; Case studies; Climate change; Decision making; Energy consumption; Energy industry; Energy modeling; Energy use; Global warming; Green buildings; Green roofs; Heat; Human influences; HVAC; Leaf area; Microclimate; Mitigation; Multiple criteria decision making; Multiple criterion; Residential areas; Residential buildings; Residential energy; Simulation; Simulation methods; Software; Sustainability; Sustainable design; Synthetic training devices; Urban areas; Urban climatology; Urban heat islands; Urban planning; Urbanization; Vegetation
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su15129674

Urban heat island (UHI) is a zone that is significantly warmer than its surrounding rural zones as a result of human activities and rapid and dense urbanization. Excessive air temperature due to the UHI phenomenon affects the energy performance of buildings and human health and contributes to global warming. Knowing that most of the building energy is consumed by residential buildings, therefore, developing a framework to mitigate the impact of the UHI on residential building energy performance is vital. This study develops an integrated framework that combines hybrid micro-climate and building energy performance simulations and multi-criteria decision-making techniques. As a case study, an urban area is analyzed under the Urban GreenUP project funded by the European Union’s Horizon 2020 Programme. Four different strategies to mitigate the UHI effect, including the current situation, changing the low-albedo materials with high-albedo ones, nature-based solutions, and changing building façade materials, are investigated with a micro-climatic simulation tool. Then, the output of the strategies, which is potential air temperature, is used in a dynamic building energy simulation software to obtain energy consumption and thermal comfort data of the residential buildings in the case area. Finally, a multi-criteria decision-making model, using real-life criteria, such as total energy consumption, thermal comfort, capital cost, lifetime and installation flexibility, is used to make a decision for decreasing the UHI effect on residential energy performance of buildings. The results showed that applying NBSs, such as green roofs and changing existing trees with high leaf area density ones, have the highest ranking among all mitigation strategies. The output of this study may help urban planners, architects, and engineers in the decision-making processes during the design phase of urban planning.