Temperature prediction of the molten salt collector tube using BP neural network
Author:
Affiliation:
1. School of Energy, Power and Mechanical EngineeringNorth China Electric Power UniversityChangping DistrictBeijing102206People's Republic of China
Funder
Fundamental Research Funds for the Central Universities
Publisher
Institution of Engineering and Technology (IET)
Subject
Renewable Energy, Sustainability and the Environment
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-rpg.2015.0065
Reference32 articles.
1. High temperature solar thermal central-receiver billboard design
2. Proposal of a fluid flow layout to improve the heat transfer in the active absorber surface of solar central cavity receivers;Montes M.J.;Appl. Therm. Eng.,2012
3. Simulation of an integrated steam generator for solar tower
4. Numerical modelling and optimisation of natural convection heat loss suppression in a solar cavity receiver with plate fins
5. Thermal performance prediction and sensitivity analysis for future deployment of molten salt cavity receiver solar power plants in Algeria;Boudaoud S.;Energy Convers. Manage,2015
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