Optimization methods using artificial intelligence algorithms to estimate thermal efficiency of PV /T system-Reference-Cited by-同舟云学术

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Optimization methods using artificial intelligence algorithms to estimate thermal efficiency of PV /T system

Published:2019-04-12 Issue:3 Volume:7 Page:821-834
ISSN:2050-0505
Container-title:Energy Science & Engineering
language:en
Short-container-title:Energy Sci Eng

Author:

Zamen Mohammad¹,Baghban Alireza²,Pourkiaei S. Mohsen³,Ahmadi Mohammad Hossein¹

Affiliation:

1. Faculty of Mechanical and Mechatronics engineering Shahrood University of Technology Shahrood Iran

2. Department of Chemical Engineering Amirkabir University of Technology (Tehran Polytechnic) Mahshahr Iran

3. Faculty of New Sciences and Technologies Department of Renewable Energies University of Tehran Tehran Iran

Publisher

Wiley

Subject

General Energy,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.312

Reference57 articles.

1. Solar energy for future world: - A review

2. Recent advances in solar photovoltaic systems for emerging trends and advanced applications

3. Exergetic performance assessment of a solar photovoltaic thermal (PV/T) air collector

4. Historical and recent development of photovoltaic thermal (PVT) technologies

5. A review on photovoltaic/thermal hybrid solar technology

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