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Dergiler / Journal of Thermal Engineering / 2026 / Volume: 9 Issue: 4

Investigation of issues affecting thermal comfort in water system underfloor heating applications of buildings with Bayesian networks

Samet Erkol(Engineering Management Master's program, Munzur University, Tunceli, 62000, Türkiye)
Melih Yücesan(Department of Emergency Aid and Disaster Management, Munzur University, Tunceli, 62000, Türkiye)0000-0001-6148-4959
Muhammet Gül(School of Transportation and Logistics, Istanbul University, Istanbul, 34134, Türkiye)0000-0002-5319-4289
Ali Fuat Günerı(Faculty of Mechanical Engineering, Department of Industrial Engineering, Yıldız Technical University, İstanbul, 34349, Türkiye)0000-0003-2525-7278
Sayfa
—
Yayın Tarihi
2023-08-04
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

As a result of these three scenarios, the possibility of not providing thermal comfort in the underfloor heating system is detailed and interpreted.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Thermal comfort is related to the stability of the ambient temperature.
📊
Temel Bulgular & Veri:In this case, it was observed that the failure rate decreased by about 5%.
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Sonuç & Katkı:As a result of these three scenarios, the possibility of not providing thermal comfort in the underfloor heating system is detailed and interpreted.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Bayesian Network · Thermal Comfort · Water System Underfloor Heating

Abstract

Thermal comfort is related to the stability of the ambient temperature. Constant changes in ambient temperature appear as a situation that negatively affects comfort. The selected build-ing systems must be arranged to maintain this stability for the continuity of thermal comfort. In this study, issues affecting thermal comfort in water system underfloor heating applications of buildings are handled and analyzed using the Bayesian Network modeling methodology. Visual examples of the problems encountered in field applications are also given. Three dif-ferent scenarios are tested with the constructed Bayesian Network model. In the first scenario, assumed that mechanical project failures were prevented. In this case, it was observed that the failure rate decreased by about 5%. In the second scenario, assumed that mechanical applica-tion failures are prevented along with mechanical project failures. The failure rate decreased by 11% compared to the first situation. The third scenario assumed that the mechanical proj-ect preparation phase was concluded without any problems, the mechanical project was im-plemented without any failures, and the mechanical system was commissioned without any problems. In the last scenario, the failure rate decreased by 14% compared to the first case, and the probability of not providing thermal comfort remained at 2%. As a result of these three scenarios, the possibility of not providing thermal comfort in the underfloor heating system is detailed and interpreted.

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Bu Makaleye Atıf Yap

Erkol, S., Yücesan, M., Gül, M., Günerı, A. F. (2023). Investigation of issues affecting thermal comfort in water system underfloor heating applications of buildings with Bayesian networks. Journal of Thermal Engineering, Volume: 9 Issue: 4. https://doi.org/10.18186/thermal.1332410

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Kaynakça (22)

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