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Published Ahead of print Subscription Review Article
AI-Based Predictive Modeling of Thermal Efficiency and Heat Loss in Solar Thermal CollectorsBy Sandesh Kulkarni, Yashraj Lade, Sarvesh Mahimkar, Anuj Mane, Vaibhav Godase
Abstract: Solar thermal collectors are widely used for water heating, agricultural drying, industrial process heating and other low- and medium-temperature thermal applications. Their thermal performance is strongly influenced by solar irradiance, fluid temperature, ambient temperature, mass flow rate, wind speed and operating conditions. Conventional analytical models can describe collector behavior using energy- balance equations, but their predictive performance may decrease under highly variable environmental and operating conditions. This study proposes an …
Published in Journal of Thermal Engineering and Applications Read article →