Using ANFIS technique in prediction of reverse flow in a solar chimney. Issue 1 (March 2021)

• Record Type: Journal Article
• Authors: Huynh, Minh-Thu T; Doan, Thinh N; Nguyen, Y Q
• Is Part Of: IOP conference series. Volume 1109:Issue 1(2021)
• Publication Date: 2021-03
• Subjects: solar chimney -- CFD -- machine learning -- ANFIS -- reverse flow; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/1109/1/012036
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: In solar chimney, in order to save resources in Computational Fluid Dynamics (CFD), this study aims to combine Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict reverse flow and investigate the ventilation performance. The inputs to the model are heat flux in the range of 200-1000W/m 2, gap of 0.04-0.25m and height of 1-1.4m, while outputs are penetration depth and mass flow rate. The results of R 2 and RMSE are reasonable for training and testing data, hence the ANFIS model is validated.