Artificial Intelligence Based Modelling of Adsorption Water Desalination System
| Autor: | Sharif F. Zaman, Hesham Alhumade, Abdulrahim A. Al-Zahrani, Hegazy Rezk, Ahmed A. Askalany |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
adsorption desalination
Coefficient of determination Mean squared error 020209 energy General Mathematics 02 engineering and technology Adsorption 020401 chemical engineering Fuzzy inference system Cooling power 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) QA1-939 0204 chemical engineering Water desalination Engineering (miscellaneous) Mathematics Adaptive neuro fuzzy inference system business.industry Coefficient of performance artificial intelligence modelling based ANFIS Artificial intelligence business |
| Zdroj: | Mathematics, Vol 9, Iss 1674, p 1674 (2021) Mathematics; Volume 9; Issue 14; Pages: 1674 |
| ISSN: | 2227-7390 |
| Popis: | The main target of this research work is to model the output performance of adsorption water desalination system (AWDS) in terms of switching and cycle time using artificial intelligence. The output performance of the ADC system is expressed by the specific daily water production (SDWP), the coefficient of performance (COP), and specific cooling power (SCP). A robust Adaptive Network-based Fuzzy Inference System (ANFIS) model of SDWP, COP, and SCP was built using the measured data. To demonstrate the superiority of the suggested ANFIS model, the model results were compared with those achieved by Analysis of Variance (ANOVA) based on the maximum coefficient of determination and minimum error between measured and estimated data in addition to the mean square error (MSE). Applying ANOVA, the average coefficient-of-determination values were 0.8872 and 0.8223, respectively, for training and testing. These values are increased to 1.0 and 0.9673, respectively, for training and testing thanks to ANFIS based modeling. In addition, ANFIS modelling decreased the RMSE value of all datasets by 83% compared with ANOVA. In sum, the main findings confirmed the superiority of ANFIS modeling of the output performance of adsorption water desalination system compared with ANOVA. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|