Fuzzy logic-supported building design for low-energy consumption in urban environments

• Published in: Case studies in thermal engineering 2024-12, Vol.64, p.105384, Article 105384
• Main Authors: Arun, Munusamy, Efremov, Cristina, Nguyen, Van Nhanh, Barik, Debabrata, Sharma, Prabhakar, Bora, Bhaskor Jyoti, Kowalski, Jerzy, Le, Huu Cuong, Truong, Thanh Hai, Cao, Dao Nam
• Format: Article
• Language: English
• Subjects: Energy control system; Energy management; Energy-efficient building design; Fuzzy computational simulation; Low-energy building
• ISSN: 2214-157X; 2214-157X
• DOI: 10.1016/j.csite.2024.105384

Climate, building materials, occupancy patterns, and HVAC (heating, ventilation, and air conditioning) systems all interact in complex ways, making it difficult to design low-energy buildings. Thus, innovative architectural and engineering design strategies are required to meet the worldwide need to decrease building energy usage. To improve the calculation of energy consumption of buildings, this work introduces the FCR-BCS (fuzzy clustering rule-based building control systems), which integrates fuzzy logic concepts into computational simulations. FCR-BCS can contemplate real-world uncertainties and fluctuations using linguistic factors and approximate reasoning for more precise and trustworthy results in energy-efficient building design. This method's significance rests in its potential to significantly reduce energy use, advance sustainability, and improve urban residents' quality of life; architects and engineers can thus employ FCR-BCS to enhance the efficiency of HVAC systems and insulation. The outcomes of FCR-BCS simulation assessments show that it is capable of making buildings more energy efficient. The experimental outcomes demonstrate that the suggested model increases the sensitivity analysis by 99.4 %, energy efficiency analysis by 99.8 %, occupancy patterns analysis by 97.5 %, temperature profile analysis by 98.8 %, and energy consumption analysis by 99.6 % compared to other existing models. •Fuzzy logic experts manage uncertainty to improve the accuracy of findings.•Foster collaboration for sustainable building design and urban planning.•A longer prediction horizon enhances the accuracy and efficiency of forecasts.•Design and build thoughtfully to enhance the quality of life in urban areas.