Performance Augmentation Study on a Solar Flat Plate Water Collector System with Modified Absorber Flow Design and its Performance Prediction Using the XGBoost Algorithm: A Machine Learning Approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,Computational Mechanics
Link
https://link.springer.com/content/pdf/10.1007/s40997-023-00648-8.pdf
Reference25 articles.
1. Al-Oran O, Lezsovits F, Aljawabrah A (2020) Exergy and energy amelioration for parabolic trough collector using mono and hybrid nanofluids. J Therm Anal Calorim 140(3):1579–1596. https://doi.org/10.1007/s10973-020-09371-x
2. Arani RP, Sathyamurthy R, Chamkha A, Kabeel AE, Deverajan M, Kamalakannan K et al (2021) Effect of fins and silicon dioxide nanoparticle black paint on the absorber plate for augmenting yield from tubular solar still. Environ Sci Pollut Res 28(26):35102–35112. https://doi.org/10.1007/s11356-021-13126-y
3. Charles Franklin J, Chandrasekar M, Sridharan M (2021) Performance of a downstream Finned solar photovoltaic thermal air system. J Therm Sci Eng Appl 13:1–12. https://doi.org/10.1115/1.4049426
4. Das D, Bordoloi U, Dilip A, Hihu H, Krishna R, Kalita P (2021) Performance investigation of a rectangular spiral flow PV/T collector with a novel form-stable composite material. Appl Therm Eng 182((December 2019)):116035. https://doi.org/10.1016/j.applthermaleng.2020.116035
5. Dhif K, Mebarek-Oudina F, Chouf S, Vaidya H, Chamkha AJ (2021) Thermal analysis of the solar collector cum storage system using a hybrid-nanofluids. J Nanofluids 10(4):616–626. https://doi.org/10.1166/jon.2021.1807
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