Vivek Kumar Pandey; Sunil Kumar Jangir; Manish Kumar; Shatakshi Singh; Chandraprakash Sharma; Nakul Joshi · 10.1002/est2.334 https://doi.org/10.1002/est2.334
Energy Storage
Mathematical and functional link convolutional neural network model for optimum design parameter of solar chimney power plant Vivek Kumar Pandey; Sunil Kumar Jangir; Manish Kumar; Shatakshi Singh; Chandraprakash Sharma; Nakul Joshi A mathematical model is used to find the best tower height and collector size for a solar chimney plant delivering 10 MW across a range of operating conditions, and the resulting data train a deep-learning functional link convolutional network. Benchmarked against random forest, support vector regression and other machine-learning methods, it reaches adjusted R2 values of 91–93%, on par with those alternatives.
Machine learning / AI
Numerical / CFD
Solar chimney power plant
2022
Energy Storage
no
2022-03-09 12:00:00 00002357
mathematical and functional link convolutional neural network model for optimum design parameter of solar chimney power plant
2022
Energy Storage
Vivek Kumar Pandey; Sunil Kumar Jangir; Manish Kumar; Shatakshi Singh; Chandraprakash Sharma; Nakul Joshi
10.1002/est2.334
Summary
A mathematical model is used to find the best tower height and collector size for a solar chimney plant delivering 10 MW across a range of operating conditions, and the resulting data train a deep-learning functional link convolutional network. Benchmarked against random forest, support vector regression and other machine-learning methods, it reaches adjusted R² values of 91–93%, on par with those alternatives.
Description written by Solar Tower. The original abstract is available from the publisher via the link below.
Open source