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Abstrakt
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.
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Autorzy (10)
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Munusamy Arun
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Cristina Efremov
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Van Bac Nguyen PhD
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Debabrata Barik
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Prabhakar Sharma
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Bhaskor Jyoti Bora
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Huu Cuong Le
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Thanh Hai Truong
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Dao Nam Cao
Cytuj jako
Pełna treść
- Wersja publikacji
- Accepted albo Published Version
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.csite.2024.105384
- Licencja
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otwiera się w nowej karcie
Słowa kluczowe
Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
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Case Studies in Thermal Engineering
nr 64,
ISSN: 2214-157X - Język:
- angielski
- Rok wydania:
- 2024
- Opis bibliograficzny:
- 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:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.csite.2024.105384
- Źródła finansowania:
-
- Publikacja bezkosztowa
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 9 razy
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