Design, modelling, environmental, economic and performance analysis of parabolic trough solar collector (PTC) based cogeneration systems assisted by thermoelectric generators (TEGs)-Reference-Cited by-同舟云学术

Design, modelling, environmental, economic and performance analysis of parabolic trough solar collector (PTC) based cogeneration systems assisted by thermoelectric generators (TEGs)

Published:2024-04 Issue: Volume:64 Page:103745
ISSN:2213-1388
Container-title:Sustainable Energy Technologies and Assessments
language:en
Short-container-title:Sustainable Energy Technologies and Assessments

Author:

Cuce Pinar Mert,Guclu Tamer^ORCID,Cuce Erdem

Funder

Turkish Academy of Sciences

Publisher

Elsevier BV

Reference97 articles.

1. A novel method based on thermal conductivity for material identification in scrap industry: an experimental validation;Cuce;Measurement (Lond),2018

2. On the use of nanofluids in Solar energy applications;Cuce;J Therm Sci,2020

3. Energy saving aspects of green facades: current applications and challenges;Cuce;Green Building & Construction Economics,2021

4. Performance analysis of Fresnel lens driven hot water/steam generator for domestic and industrial use: a CFD Research;Cuce;Hittite Journal of Science and Engineering,2023

5. Global available solar energy under physical and energy return on investment constraints;Dupont;Appl Energy,2020

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Economic and life cycle analysis of a photovoltaic thermal application system based on phase change thermal storage;Applied Thermal Engineering;2024-12

2. Techno-economic-environmental optimization of hybrid photovoltaic-thermoelectric generator systems based on data-driven approach;Applied Thermal Engineering;2024-12

3. Electric power output evaluation of honeycomb-based thermoelectric generators;Sustainable Energy Technologies and Assessments;2024-09

4. Exergy and energy investigations of ET-150 PTSC with non-Newtonian nanofluid;Applied Thermal Engineering;2024-09

5. Machine learning-based optimization and 4E analysis of renewable-based polygeneration system by integration of GT-SRC-ORC-SOFC-PEME-MED-RO using multi-objective grey wolf optimization algorithm and neural networks;Renewable and Sustainable Energy Reviews;2024-08