Enhancing Solar Air Heater Performance with Quatrefoil Artificial Roughness: An Adaptive Neuro-Fuzzy System Approach
| Autor: | Rajkumar P., Melvin Jones J., Nirmal Raj L., Anand B. |
|---|---|
| Jazyk: | English<br />French |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | E3S Web of Conferences, Vol 477, p 00088 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2267-1242 20244770 |
| DOI: | 10.1051/e3sconf/202447700088 |
| Popis: | Solar air Collector is used to transform the solar energy into heat energy. Solar heating technologies use only free, renewable and clean energy. More number of previous studies was done. The roughness element is changed to enhance the airflow’s capacity to absorb heat. In this study Experimental investigates the glazed solar air heater with quatrefoil shaped artificial roughness is placed above the absorber plate in the solar air heater. The solar air heaters (SAH) with quatrefoil shaped artificial roughness and conventional solar air heater are tested. The outcome indicates that the maximum temperatures for conventional SAH and purposely roughened SAH are 670C and 470C, respectively. By the increased of heat transfer area and increased the turbulence lead to higher heat recovery rate of quatrefoil shaped artificial roughness is 47% more compared to conventional type. The solar air heater is predicted by using Adaptive Neuro Fuzzy Inference System (ANFIS) and accuracy is measured as 90%. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|