The data assimilation of volumetric velocity and temperature data to extract boundary conditions for high-fidelity simulation of the indoor air
ENERGY AND BUILDINGS, cilt.300, sa.300, ss.113647, 2023 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 300 Sayı: 300
- Basım Tarihi: 2023
- Doi Numarası: 10.1016/j.enbuild.2023.113647
- Dergi Adı: ENERGY AND BUILDINGS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Compendex, Environment Index, INSPEC, Pollution Abstracts, Public Affairs Index, Civil Engineering Abstracts
- Sayfa Sayıları: ss.113647
- Anahtar Kelimeler: Particle image velocimetry, Indoor air, Infrared thermography, Computational fluid dynamics, Data assimilation
- Dokuz Eylül Üniversitesi Adresli: Evet