Transient heat transfer performance prediction using a machine learning approach for sensible heat storage in parabolic trough solar thermal power generation cycles-Reference-Cited by-同舟云学术

Transient heat transfer performance prediction using a machine learning approach for sensible heat storage in parabolic trough solar thermal power generation cycles

Published:2022-12 Issue: Volume:56 Page:105965
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Suwa Tohru

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference41 articles.

1. Parabolic troughs: CSP’s quiet achiever, renew. Energy;Taggart;Focus,2008

2. Energy and exergy analyses of a parabolic trough concentrated solar power plant using molten salt during the start-up process;Zhang;Energy,2022

3. Solid media thermal storage for parabolic trough power plants;Laing;Sol. Energy,2006

4. Drake Landing solar community: 10 years of operation, ISES Sol;Mesquita;World Congr. 2017 - IEA SHC Int. Conf. Sol. Heat. Cool. Build. Ind.,2017

5. Assessment of residential scale renewable heating solutions with thermal energy storages;Berger;Energy,2022

Cited by 8 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. Computationally effective machine learning approach for modular thermal energy storage design;Applied Energy;2025-01

2. Design, commissioning and operation of a large-scale solar linear Fresnel system integrated with evacuated compound receiver: Field testing, thermodynamic analysis, and enhanced machine learning-based optimization;Solar Energy;2024-08

3. Prediction of latent heat storage transient thermal performance for integrated solar combined cycle using machine learning techniques;Journal of Energy Storage;2024-01

4. Machine learning interfaces for modular modelling and operation-based design optimization of solar thermal systems in process industry;Engineering Applications of Artificial Intelligence;2024-01

5. A review of the techno-economic potential and environmental impact analysis through life cycle assessment of parabolic trough collector towards the contribution of sustainable energy;Heliyon;2023-07