Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System

• Published in: Energy & fuels Vol. 36; no. 13; pp. 6626 - 6658
• Main Authors: Sharma, Prabhakar, Said, Zafar, Kumar, Anurag, Nižetić, Sandro, Pandey, Ashok, Hoang, Anh Tuan, Huang, Zuohua, Afzal, Asif, Li, Changhe, Le, Anh Tuan, Nguyen, Xuan Phuong, Tran, Viet Dung
• Format: Journal Article
• Language: English
• Published: American Chemical Society 07.07.2022
• Subjects: algorithms; artificial intelligence; computer software; energy; ethics; heat transfer; nanofluids; prediction; swarms; thermal conductivity

Nanofluids have gained significant popularity in the field of sustainable and renewable energy systems. The heat transfer capacity of the working fluid has a huge impact on the efficiency of the renewable energy system. The addition of a small amount of high thermal conductivity solid nanoparticles...