Energetic, exergetic, and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride-water nanofluid
This study investigates the performance and optimization of a photovoltaic thermal (PVT) system integrated with hexagonal boron nitride-water (hBN-water) nanofluid using a central composite design (CCD) of the response surface method (RSM). The research focuses on optimizing mass flow rate and irrad...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English English |
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Elsevier Ltd
2025
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| Online Access: | http://umpir.ump.edu.my/id/eprint/43711/1/Energetic%2C%20exergetic%2C%20and%20entropy%20generation%20prediction.pdf http://umpir.ump.edu.my/id/eprint/43711/2/Energetic%2C%20exergetic%2C%20and%20entropy%20generation%20prediction%20and%20optimization%20of%20photovoltaic%20thermal%20system%20integrated%20hexagonal%20boron%20nitride-water%20nanofluid_abs.pdf |
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| author | Nurhanis Sofiah, Abd Ghafar Kumar Pandey, Adarsh Kumar Rajamony, Reji Kumar Samykano, Mahendran Pasupuleti, Jagadeesh Nur Fatin, Sulaiman Saidur, Rahman Md |
| author_facet | Nurhanis Sofiah, Abd Ghafar Kumar Pandey, Adarsh Kumar Rajamony, Reji Kumar Samykano, Mahendran Pasupuleti, Jagadeesh Nur Fatin, Sulaiman Saidur, Rahman Md |
| author_sort | Nurhanis Sofiah, Abd Ghafar |
| collection | UMP |
| description | This study investigates the performance and optimization of a photovoltaic thermal (PVT) system integrated with hexagonal boron nitride-water (hBN-water) nanofluid using a central composite design (CCD) of the response surface method (RSM). The research focuses on optimizing mass flow rate and irradiance to enhance electrical efficiency, thermal efficiency, electrical exergy efficiency, thermal exergy efficiency, and minimize entropy generation. ANOVA tables demonstrate the statistical significance of variables and their interactions, with high R-squared values of 98.27 %, 99.51 %, 99.86 %, 97.34 %, and 100 %, respectively, confirming the model's robustness. The actual vs. predicted graph aligns closely along the 45° line, and the residual vs. predicted plot shows a random distribution of residuals, indicating reliable predictive performance and model resilience. The optimization results estimate an electrical efficiency of 7.72 % at a mass flow rate of 1.18 L/m and irradiance of 444.44 W/m2. Single-objective optimizations predict maximum thermal efficiency of 73.84 % at 0.63 L/m and 481.94 W/m2, maximum electrical exergy efficiency of 8.92 % at 0.62 L/m and 444.44 W/m2, maximum thermal exergy efficiency of 1.83 % at 0.84 L/m and 682.23 W/m2, and minimized entropy generation of 1.6 at 1.18 L/m and 444.44 W/m2. The ramp function plot for multi-objective optimization reveals the best overall performance at a mass flow rate of 0.62 L/m and irradiance of 492.22 W/m2, achieving electrical efficiency of 7.43 %, thermal efficiency of 73.82 %, electrical exergy efficiency of 8.56 %, thermal exergy efficiency of 1.21 %, and minimized entropy generation of 1.57. These research study aim to enhance the understanding, efficiency, and broader adoption of PVT technologies integrated with nanofluids, contributing to more sustainable renewable energy solutions. |
| first_indexed | 2025-02-19T02:39:59Z |
| format | Article |
| id | UMPir43711 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2025-02-19T02:39:59Z |
| publishDate | 2025 |
| publisher | Elsevier Ltd |
| record_format | dspace |
| spelling | UMPir437112025-02-12T07:36:33Z http://umpir.ump.edu.my/id/eprint/43711/ Energetic, exergetic, and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride-water nanofluid Nurhanis Sofiah, Abd Ghafar Kumar Pandey, Adarsh Kumar Rajamony, Reji Kumar Samykano, Mahendran Pasupuleti, Jagadeesh Nur Fatin, Sulaiman Saidur, Rahman Md T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics This study investigates the performance and optimization of a photovoltaic thermal (PVT) system integrated with hexagonal boron nitride-water (hBN-water) nanofluid using a central composite design (CCD) of the response surface method (RSM). The research focuses on optimizing mass flow rate and irradiance to enhance electrical efficiency, thermal efficiency, electrical exergy efficiency, thermal exergy efficiency, and minimize entropy generation. ANOVA tables demonstrate the statistical significance of variables and their interactions, with high R-squared values of 98.27 %, 99.51 %, 99.86 %, 97.34 %, and 100 %, respectively, confirming the model's robustness. The actual vs. predicted graph aligns closely along the 45° line, and the residual vs. predicted plot shows a random distribution of residuals, indicating reliable predictive performance and model resilience. The optimization results estimate an electrical efficiency of 7.72 % at a mass flow rate of 1.18 L/m and irradiance of 444.44 W/m2. Single-objective optimizations predict maximum thermal efficiency of 73.84 % at 0.63 L/m and 481.94 W/m2, maximum electrical exergy efficiency of 8.92 % at 0.62 L/m and 444.44 W/m2, maximum thermal exergy efficiency of 1.83 % at 0.84 L/m and 682.23 W/m2, and minimized entropy generation of 1.6 at 1.18 L/m and 444.44 W/m2. The ramp function plot for multi-objective optimization reveals the best overall performance at a mass flow rate of 0.62 L/m and irradiance of 492.22 W/m2, achieving electrical efficiency of 7.43 %, thermal efficiency of 73.82 %, electrical exergy efficiency of 8.56 %, thermal exergy efficiency of 1.21 %, and minimized entropy generation of 1.57. These research study aim to enhance the understanding, efficiency, and broader adoption of PVT technologies integrated with nanofluids, contributing to more sustainable renewable energy solutions. Elsevier Ltd 2025 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/43711/1/Energetic%2C%20exergetic%2C%20and%20entropy%20generation%20prediction.pdf pdf en http://umpir.ump.edu.my/id/eprint/43711/2/Energetic%2C%20exergetic%2C%20and%20entropy%20generation%20prediction%20and%20optimization%20of%20photovoltaic%20thermal%20system%20integrated%20hexagonal%20boron%20nitride-water%20nanofluid_abs.pdf Nurhanis Sofiah, Abd Ghafar and Kumar Pandey, Adarsh Kumar and Rajamony, Reji Kumar and Samykano, Mahendran and Pasupuleti, Jagadeesh and Nur Fatin, Sulaiman and Saidur, Rahman Md (2025) Energetic, exergetic, and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride-water nanofluid. Applied Thermal Engineering, 263 (125356). pp. 1-22. ISSN 1359-4311. (Published) https://doi.org/10.1016/j.applthermaleng.2024.125356 https://doi.org/10.1016/j.applthermaleng.2024.125356 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Nurhanis Sofiah, Abd Ghafar Kumar Pandey, Adarsh Kumar Rajamony, Reji Kumar Samykano, Mahendran Pasupuleti, Jagadeesh Nur Fatin, Sulaiman Saidur, Rahman Md Energetic, exergetic, and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride-water nanofluid |
| title | Energetic, exergetic, and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride-water nanofluid |
| title_full | Energetic, exergetic, and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride-water nanofluid |
| title_fullStr | Energetic, exergetic, and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride-water nanofluid |
| title_full_unstemmed | Energetic, exergetic, and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride-water nanofluid |
| title_short | Energetic, exergetic, and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride-water nanofluid |
| title_sort | energetic exergetic and entropy generation prediction and optimization of photovoltaic thermal system integrated hexagonal boron nitride water nanofluid |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/43711/1/Energetic%2C%20exergetic%2C%20and%20entropy%20generation%20prediction.pdf http://umpir.ump.edu.my/id/eprint/43711/2/Energetic%2C%20exergetic%2C%20and%20entropy%20generation%20prediction%20and%20optimization%20of%20photovoltaic%20thermal%20system%20integrated%20hexagonal%20boron%20nitride-water%20nanofluid_abs.pdf |
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