A. Tlatelpa-Becerro; UAEM; Ramiro Rico-Martı́nez; Marcela Cárdenas-Manríquez; Gustavo Urquiza; Fidel Hernández; María del Carmen Fuentes-Albarrán · 10.24275/rmiq/ie2495 https://doi.org/10.24275/rmiq/ie2495
Revista Mexicana de Ingeniería Química
Prediction of the dynamic behavior of a solar chimney by means of artificial neural networks A. Tlatelpa-Becerro; UAEM; Ramiro Rico-Martınez; Marcela Cardenas-Manriquez; Gustavo Urquiza; Fidel Hernandez; Maria del Carmen Fuentes-Albarran 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.
Machine learning / AI
Numerical / CFD
2022
Revista Mexicana de Ingeniería Química
no
2022-02-10 12:00:00 00002363
prediction of the dynamic behavior of a solar chimney by means of artificial neural networks
2022
Revista Mexicana de Ingeniería Química
A. Tlatelpa-Becerro; UAEM; Ramiro Rico-Martı́nez; Marcela Cárdenas-Manríquez; Gustavo Urquiza; Fidel Hernández; María del Carmen Fuentes-Albarrán
10.24275/rmiq/ie2495
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.
Abstract by the authors, reproduced under the CC BY-NC-ND 4.0 licence. Original publication via the link below.
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