Heat and mass transfer performances of a heat pipe and evaporator coupled cooling system for building dehumidification


Zhao W., Wu H., Jing H., ARICI M., Li B., Xu J., ...Daha Fazla

Energy and Buildings, cilt.353, 2026 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 353
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.enbuild.2025.116876
  • Dergi Adı: Energy and Buildings
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Environment Index, INSPEC, Public Affairs Index, Urban Studies Abstracts
  • Anahtar Kelimeler: Cooling, Dehumidification, Evaporator, Heat and mass transfer, Heat pipe
  • Kocaeli Üniversitesi Adresli: Evet

Özet

In conventional refrigeration dehumidification air conditioning systems, energy is wasted due to the mutual cancellation of cooling capacity and reheat under cooling conditions. To address this issue, a novel cooling system integrating a U-type heat pipe with an evaporator was developed in this study. The heat and mass transfer performances of the dehumidification system were evaluated using heat transfer and mass transfer factors. The impacts of inlet air relative humidity and dry-bulb temperature on the performance of both the heat pipe and evaporator were examined, leading to the establishment of correlated equations for the respective factors. The results indicate that, with increasing inlet air relative humidity, the heat transfer factor at the evaporation section of the heat pipe increased, while the mass transfer factor decreased. In contrast, both heat and mass transfer factors on the evaporator side declined. As the dry-bulb temperature of the inlet air rose, the heat transfer factor decreased and the mass transfer factor increased at the heat pipe evaporation section, whereas these two factors increased on the evaporator side. Empirical correlations for the heat and mass transfer factors were developed for the U-type heat pipe evaporation section and the evaporator under wet conditions. The proposed correlations cover 100 % and 92.6 % of the experimental data within a ± 15 % error margin, demonstrating sufficient accuracy for practical engineering applications.