Multi-objective optimization of concentrated Photovoltaic-Thermoelectric hybrid system via non-dominated sorting genetic algorithm (NSGA II)-Reference-Cited by-同舟云学术

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Multi-objective optimization of concentrated Photovoltaic-Thermoelectric hybrid system via non-dominated sorting genetic algorithm (NSGA II)

Published:2021-05 Issue: Volume:236 Page:114065
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Yusuf Aminu,Bayhan Nevra,Tiryaki Hasan,Hamawandi Bejan,Toprak Muhammet S.,Ballikaya Sedat

Funder

Istanbul Universitesi Bilimsel Arastirma Projeleri Birimi

Turkiye Bilimsel ve Teknolojik Arastirma Kurumu

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference35 articles.

1. Depletion of fossil fuels and anthropogenic climate change—a review;Höök;Energy Policy,2013

2. Duffie (Deceased) JA, Beckman WA, Blair N. Solar engineering of thermal processes, photovoltaics and wind. 1st ed. Wiley; 2020. 10.1002/9781119540328.

3. Modeling and experimental research of hybrid PV-thermoelectric system for high concentrated solar energy conversion;Teffah;Sol Energy,2017

4. Conceptual development of a novel photovoltaic-thermoelectric system and preliminary economic analysis;Li;Energy Convers Manage,2016

5. Mohsenzadeh M, Shafii MB, Jafari mosleh H. A novel concentrating photovoltaic/thermal solar system combined with thermoelectric module in an integrated design. Renewable Energy 2017;113:822–34. 10.1016/j.renene.2017.06.047.

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