Search
Abstract
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.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (10)
-
Munusamy Arun
-
Cristina Efremov
-
Van Bac Nguyen PhD
-
Debabrata Barik
-
Prabhakar Sharma
-
Bhaskor Jyoti Bora
-
Huu Cuong Le
-
Thanh Hai Truong
-
Dao Nam Cao
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.csite.2024.105384
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Case Studies in Thermal Engineering
no. 64,
ISSN: 2214-157X - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Arun M., Efremov C., Nguyen V. B., Barik D., Sharma P., Bora B. J., Kowalski J., Le H. C., Truong T. H., Cao D. N.: Fuzzy logic-supported building design for low-energy consumption in urban environments// Case Studies in Thermal Engineering -Vol. 64, (2024), s.105384-
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.csite.2024.105384
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
seen 9 times
Recommended for you
Management Strategy for Seaports Aspiring to Green Logistical Goals of IMO: Technology and Policy Solutions
- T. T. Le,
- H. P. Nguyen,
- K. Rudzki
- + 5 authors