Transient thermal prediction methodology for parabolic trough solar collector tube using artificial neural network-Reference-Cited by-同舟云学术

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Transient thermal prediction methodology for parabolic trough solar collector tube using artificial neural network

Published:2019-02 Issue: Volume:131 Page:168-179
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Heng Shye Yunn,Asako Yutaka,Suwa Tohru,Nagasaka Ken

Funder

Universiti Teknologi Malaysia

Takasago Thermal Engineering Co, Ltd., Japan

Takasago education and research grant

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference49 articles.

1. Control of thermal solar energy plants;Camacho;J. Process Contr.,2014

2. Environmental impacts of utility-scale solar energy;Hernandez;Renew. Sustain. Energy Rev.,2014

3. Historical development of concentrating solar power technologies to generate clean electricity efficiently–a review;Baharoon;Renew. Sustain. Energy Rev.,2015

4. Organic rankine cycle coupling with a parabolic trough solar power plant for cogeneration and industrial processes;Borunda;Renew. Energy,2016

5. In-situ heat loss measurements of parabolic trough receivers based on transient infrared thermography;Caron;Sol. Energy,2016

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