Modeling and optimization of working conditions of pyramid solar still with different nanoparticles using response surface methodology
The present work introduces formulating a mathematical modeling to predict the thermal performance of pyramid solar distiller (PSD) using the technique of response surface methodology (RSM) to be applied in solar distillers under different environmental parameters and nanoparticle types and concentr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-05-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X22002301 |
| _version_ | 1811332771355820032 |
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| author | W.M. Farouk A.S. Abdullah Suha A. Mohammed Wissam H. Alawee Z.M. Omara F.A. Essa |
| author_facet | W.M. Farouk A.S. Abdullah Suha A. Mohammed Wissam H. Alawee Z.M. Omara F.A. Essa |
| author_sort | W.M. Farouk |
| collection | DOAJ |
| description | The present work introduces formulating a mathematical modeling to predict the thermal performance of pyramid solar distiller (PSD) using the technique of response surface methodology (RSM) to be applied in solar distillers under different environmental parameters and nanoparticle types and concentrations. The most influential climatic process parameters considered are solar-intensity, ambient temperature, and wind velocity. The regression models for predicting the performance parameter responses were developed using RSM and a four-factor, five-level central composite architecture. The optimum parameters values obtained from RSM were predicted. The impact of various nanomaterials mixed with the water basin on PSD performance was studied. Three different nanomaterials were used (titanium oxide (TiO2), aluminum oxide (Al2O3) and copper oxide (Cu2O)). The selection of nanomaterials was considered according to their optical, thermophysical, and heat transfer properties. Effects of nanoparticles concentration on daily responses were studied. The ascertained optimal parameters were 19.5% Cu2O concentrations, 720 w/m2 solar-intensity, 38.6 °C ambient temperature, and 0.5 m/s wind speed for achieving the maximum productivity of PSD. Besides, the average daily productivity of Cu2O-PSD, Al2O3-PSD and TiO2-PSD at nano-concentration 0.3% was 6150, 5720 and 5300 mL/m2.day compared to 3900 mL/m2.day for that of conventional PSD. So, the average daily productivity increase of Cu2O-PSD, Al2O3-PSD and TiO2-PSD was 57%, 46% and 36% over PSD, respectively. Moreover, the error existed among the actual experimental and RSM coded values for P, Tw and Tg lies within 5.2%, 4.9%, and 6.5%, respectively. Evidently, this affirms the excellence of reproducibility of the pilot experimental results. |
| first_indexed | 2024-04-13T16:41:16Z |
| format | Article |
| id | doaj.art-77dfcc30474f4fdc869921b4e8c2f4f0 |
| institution | Directory Open Access Journal |
| issn | 2214-157X |
| language | English |
| last_indexed | 2024-04-13T16:41:16Z |
| publishDate | 2022-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj.art-77dfcc30474f4fdc869921b4e8c2f4f02022-12-22T02:39:13ZengElsevierCase Studies in Thermal Engineering2214-157X2022-05-0133101984Modeling and optimization of working conditions of pyramid solar still with different nanoparticles using response surface methodologyW.M. Farouk0A.S. Abdullah1Suha A. Mohammed2Wissam H. Alawee3Z.M. Omara4F.A. Essa5Mechanical Engineering Department, Faculty of Engineering, Benha University, EgyptMechanical Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Alkharj, 16273, Saudi Arabia; Mechanical Power Engineering Department, Faculty of Engineering, Tanta University, Tanta, 31734, Egypt; Corresponding author. Mechanical Engineering Department, College of Engineering, Prince Sattam Bin Abdulaziz University, Alkharj, 16273, Saudi Arabia.Mechanical Engineering Department, University of Technology, Baghdad, IraqControl and Systems Engineering Department, University of Technology, Baghdad, IraqMechanical Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, 33516, EgyptMechanical Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh, 33516, EgyptThe present work introduces formulating a mathematical modeling to predict the thermal performance of pyramid solar distiller (PSD) using the technique of response surface methodology (RSM) to be applied in solar distillers under different environmental parameters and nanoparticle types and concentrations. The most influential climatic process parameters considered are solar-intensity, ambient temperature, and wind velocity. The regression models for predicting the performance parameter responses were developed using RSM and a four-factor, five-level central composite architecture. The optimum parameters values obtained from RSM were predicted. The impact of various nanomaterials mixed with the water basin on PSD performance was studied. Three different nanomaterials were used (titanium oxide (TiO2), aluminum oxide (Al2O3) and copper oxide (Cu2O)). The selection of nanomaterials was considered according to their optical, thermophysical, and heat transfer properties. Effects of nanoparticles concentration on daily responses were studied. The ascertained optimal parameters were 19.5% Cu2O concentrations, 720 w/m2 solar-intensity, 38.6 °C ambient temperature, and 0.5 m/s wind speed for achieving the maximum productivity of PSD. Besides, the average daily productivity of Cu2O-PSD, Al2O3-PSD and TiO2-PSD at nano-concentration 0.3% was 6150, 5720 and 5300 mL/m2.day compared to 3900 mL/m2.day for that of conventional PSD. So, the average daily productivity increase of Cu2O-PSD, Al2O3-PSD and TiO2-PSD was 57%, 46% and 36% over PSD, respectively. Moreover, the error existed among the actual experimental and RSM coded values for P, Tw and Tg lies within 5.2%, 4.9%, and 6.5%, respectively. Evidently, this affirms the excellence of reproducibility of the pilot experimental results.http://www.sciencedirect.com/science/article/pii/S2214157X22002301Pyramid solar stillSolar distillationResponse surface methodologyCu2O NanoparticlesCopper oxide |
| spellingShingle | W.M. Farouk A.S. Abdullah Suha A. Mohammed Wissam H. Alawee Z.M. Omara F.A. Essa Modeling and optimization of working conditions of pyramid solar still with different nanoparticles using response surface methodology Case Studies in Thermal Engineering Pyramid solar still Solar distillation Response surface methodology Cu2O Nanoparticles Copper oxide |
| title | Modeling and optimization of working conditions of pyramid solar still with different nanoparticles using response surface methodology |
| title_full | Modeling and optimization of working conditions of pyramid solar still with different nanoparticles using response surface methodology |
| title_fullStr | Modeling and optimization of working conditions of pyramid solar still with different nanoparticles using response surface methodology |
| title_full_unstemmed | Modeling and optimization of working conditions of pyramid solar still with different nanoparticles using response surface methodology |
| title_short | Modeling and optimization of working conditions of pyramid solar still with different nanoparticles using response surface methodology |
| title_sort | modeling and optimization of working conditions of pyramid solar still with different nanoparticles using response surface methodology |
| topic | Pyramid solar still Solar distillation Response surface methodology Cu2O Nanoparticles Copper oxide |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X22002301 |
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