Energy performance of a solar cavity receiver with neural output flow regulation under controlled conditions

Energy performance of a solar cavity receiver with neural output flow regulation under controlled conditions

This article presents the theoretical and experimental performance of a Solar Cavity Receiver (SCR) which operates under controlled conditions of radiation and flow regulation using an Artificial Neural Network (ANN); the objective of this application of neural networks is to obtain the maximum temp...

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Bibliografische gegevens
Hoofdauteurs: José Ruelas, Flavio Muñoz, Juan Palomares, Juan Delfín, Baldomero Lucero
Formaat: Artikel
Taal:English
Gepubliceerd in: Elsevier 2022-08-01
Reeks:Case Studies in Thermal Engineering
Onderwerpen:
Solar cavity receiver
Flow regulation
Neuronal network
Controlled condition
Online toegang:http://www.sciencedirect.com/science/article/pii/S2214157X22004658

Internet

http://www.sciencedirect.com/science/article/pii/S2214157X22004658

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