Abstract
A strategy is described for the construction of a reference model for the design of solar chimneys that includes variations in geometry and materials of the chimney's components. The model will be developed from dynamic simulations in the transient state of the solar chimney under solar irradiation real conditions. The strategy is based on the artificial neural networks (ANNs) generalization properties allowing predictions for multiple geometries and materials of the solar chimney. The strategy can serve as a basis for cost optimization during the design stage by allowing selection of the best geometry and materials given the desired performance specification for the solar chimney, including operating and replacement costs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
