Experimental investigation and artificial neural networks (ANNs) based prediction of thermal performance of solar air heaters with different surface geometry-Reference-Cited by-同舟云学术

Experimental investigation and artificial neural networks (ANNs) based prediction of thermal performance of solar air heaters with different surface geometry

Published:2024-05 Issue: Volume:273 Page:112499
ISSN:0038-092X
Container-title:Solar Energy
language:en
Short-container-title:Solar Energy

Author:

Çerçi Kamil Neyfel^ORCID,Saydam Dogan Burak,Hürdoğan Ertaç,Ozalp Coskun

Publisher

Elsevier BV

Reference58 articles.

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1. Experimental analysis of the synergistic impact of fan and nocturnal thermal insulation on enhancing the thermal performance of latent-energy-storage solar air collectors;Journal of Energy Storage;2024-10

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3. Unlocking renewable energy potential: Harnessing machine learning and intelligent algorithms;International Journal of Renewable Energy Development;2024-06-07

4. Optimizing Efficiency of Solar Double-Pass Air Heater through Fluid Combination Approach;E3S Web of Conferences;2024