Bayesian optimization for effective thermal conductivity measurement of thermal energy storage: an experimental and numerical approach

• Main Authors: Yang, Lizhong, Gil, Antoni, Leong, Pammy S. H., Khor, Jun Onn, Akhmetov, Bakytzhan, Tan, Wooi Leong, Rajoo, Srithar, Cabeza, Luisa F., Romagnoli, Alessandro
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Mechanical engineering; Thermal Energy Storage; Machine Learning
• Online Access: https://hdl.handle.net/10356/161871
• Institution: Nanyang Technological University

The increasing demand for cooling and refrigeration poses an urgent need in designing efficient and low-cost thermal energy storage systems for future energy systems. While multiple effects may affect the heat transfer behaviors during thermal energy storage, these effects can be lumped into one par...