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Optimization assessment and performance analysis of an ingenious hybrid parabolic trough collector: A machine learning approach

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  • Salari, Ali
  • Shakibi, Hamid
  • Soltani, Shohreh
  • Kazemian, Arash
  • Ma, Tao

Abstract

Parabolic Trough Collector (PTC) is a solar unit that can convert solar radiation into thermal energy at moderate efficiency. Researchers attempted to increase the output of the PTC units by implementing multiple methods including using helical inserts, transparent aerogel, and reflective mirrors. Nevertheless, the output of this system still is not high enough. The proficiency of the PTC unit can improve by integrating it with Thermoelectric Generator (TEG) and Proton Exchange Membrane (PEM) electrolysis cell, which is studied in the current paper for the first time. In the present study, the efficiency in both PTC-TEG and PTC layouts are poked to demonstrate the consequence of the TEG on the denoted unit efficiency. Besides, the sensitivity study is carried out to assess the influence of operating parameters. Also, extensive data collection is generated and employed to train the designed machine learning models to anticipate the performance of the units in countless operating conditions. Based on the results, the highest accuracy in predicting the performance of the units belongs to the adaptive network-based fuzzy inference system. Also, the results show that the highest entropy generation rate for the PTC and PTC-TEG-PEM units is approximately 11.0 W/m.K and 16.9 W/m.K, respectively. In addition, the highest hydrogen production rate of the PTC-TEG-PEM unit is around 21 mol/h; in fact, the electrical input of the PEM electrolyzer is maintained by the TEG module, which its electrical efficiency calculated to be 3%.

Suggested Citation

  • Salari, Ali & Shakibi, Hamid & Soltani, Shohreh & Kazemian, Arash & Ma, Tao, 2024. "Optimization assessment and performance analysis of an ingenious hybrid parabolic trough collector: A machine learning approach," Applied Energy, Elsevier, vol. 353(PA).
    • Handle: RePEc:eee:appene:v:353:y:2024:i:pa:s0306261923014265
    DOI: 10.1016/j.apenergy.2023.122062
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    References listed on IDEAS

    as
    1. Chen, Jie & Huang, Shoujun & Shahabi, Laleh, 2021. "Economic and environmental operation of power systems including combined cooling, heating, power and energy storage resources using developed multi-objective grey wolf algorithm," Applied Energy, Elsevier, vol. 298(C).
    2. Yu, Chuanjin & Li, Yongle & Chen, Qian & Lai, Xiaopan & Zhao, Liyang, 2022. "Matrix-based wavelet transformation embedded in recurrent neural networks for wind speed prediction," Applied Energy, Elsevier, vol. 324(C).
    3. Cheng, Biyi & Du, Jianjun & Yao, Yingxue, 2022. "Machine learning methods to assist structure design and optimization of Dual Darrieus Wind Turbines," Energy, Elsevier, vol. 244(PA).
    4. Ma, Tao & Li, Meng & Kazemian, Arash, 2020. "Photovoltaic thermal module and solar thermal collector connected in series to produce electricity and high-grade heat simultaneously," Applied Energy, Elsevier, vol. 261(C).
    5. Kazemian, Arash & Khatibi, Meysam & Reza Maadi, Seyed & Ma, Tao, 2021. "Performance optimization of a nanofluid-based photovoltaic thermal system integrated with nano-enhanced phase change material," Applied Energy, Elsevier, vol. 295(C).
    6. Kazemian, Arash & Khatibi, Meysam & Ma, Tao & Peng, Jinqing & Hongxing, Yang, 2023. "A thermal performance-enhancing strategy of photovoltaic thermal systems by applying surface area partially covered by solar cells," Applied Energy, Elsevier, vol. 329(C).
    7. Wang, Qiliang & Yang, Honglun & Zhong, Shuai & Huang, Yihang & Hu, Mingke & Cao, Jingyu & Pei, Gang & Yang, Hongxing, 2020. "Comprehensive experimental testing and analysis on parabolic trough solar receiver integrated with radiation shield," Applied Energy, Elsevier, vol. 268(C).
    8. Jebasingh, V.K. & Herbert, G.M. Joselin, 2016. "A review of solar parabolic trough collector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1085-1091.
    9. Cheng, Ze-Dong & Leng, Ya-Kun & Men, Jing-Jing & He, Ya-Ling, 2020. "Numerical study on a novel parabolic trough solar receiver-reactor and a new control strategy for continuous and efficient hydrogen production," Applied Energy, Elsevier, vol. 261(C).
    10. Michael, Jee Joe & Selvarasan, Iniyan & Goic, Ranko, 2016. "Fabrication, experimental study and testing of a novel photovoltaic module for photovoltaic thermal applications," Renewable Energy, Elsevier, vol. 90(C), pages 95-104.
    11. Park, S.R. & Pandey, A.K. & Tyagi, V.V. & Tyagi, S.K., 2014. "Energy and exergy analysis of typical renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 105-123.
    12. Mahmoudan, Alireza & Esmaeilion, Farbod & Hoseinzadeh, Siamak & Soltani, Madjid & Ahmadi, Pouria & Rosen, Marc, 2022. "A geothermal and solar-based multigeneration system integrated with a TEG unit: Development, 3E analyses, and multi-objective optimization," Applied Energy, Elsevier, vol. 308(C).
    13. Hao, Yan & Tian, Chengshi, 2019. "A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting," Applied Energy, Elsevier, vol. 238(C), pages 368-383.
    14. Liu, Jia & Zhou, Yuekuan & Yang, Hongxing & Wu, Huijun, 2022. "Uncertainty energy planning of net-zero energy communities with peer-to-peer energy trading and green vehicle storage considering climate changes by 2050 with machine learning methods," Applied Energy, Elsevier, vol. 321(C).
    15. Wang, Qiliang & Hu, Mingke & Yang, Honglun & Cao, Jingyu & Li, Jing & Su, Yuehong & Pei, Gang, 2019. "Energetic and exergetic analyses on structural optimized parabolic trough solar receivers in a concentrated solar–thermal collector system," Energy, Elsevier, vol. 171(C), pages 611-623.
    16. Kazemian, Arash & Hosseinzadeh, Mohammad & Sardarabadi, Mohammad & Passandideh-Fard, Mohammad, 2018. "Experimental study of using both ethylene glycol and phase change material as coolant in photovoltaic thermal systems (PVT) from energy, exergy and entropy generation viewpoints," Energy, Elsevier, vol. 162(C), pages 210-223.
    17. Mohsenzadeh, Milad & Shafii, M.B. & Jafari mosleh, H., 2017. "A novel concentrating photovoltaic/thermal solar system combined with thermoelectric module in an integrated design," Renewable Energy, Elsevier, vol. 113(C), pages 822-834.
    18. Kazemian, Arash & Salari, Ali & Hakkaki-Fard, Ali & Ma, Tao, 2019. "Numerical investigation and parametric analysis of a photovoltaic thermal system integrated with phase change material," Applied Energy, Elsevier, vol. 238(C), pages 734-746.
    19. Salari, Ali & Parcheforosh, Ali & Hakkaki-Fard, Ali & Amadeh, Ali, 2020. "A numerical study on a photovoltaic thermal system integrated with a thermoelectric generator module," Renewable Energy, Elsevier, vol. 153(C), pages 1261-1271.
    20. Niu, Dongxiao & Yu, Min & Sun, Lijie & Gao, Tian & Wang, Keke, 2022. "Short-term multi-energy load forecasting for integrated energy systems based on CNN-BiGRU optimized by attention mechanism," Applied Energy, Elsevier, vol. 313(C).
    21. Mwesigye, Aggrey & Meyer, Josua P., 2017. "Optimal thermal and thermodynamic performance of a solar parabolic trough receiver with different nanofluids and at different concentration ratios," Applied Energy, Elsevier, vol. 193(C), pages 393-413.
    22. Sardarabadi, Mohammad & Hosseinzadeh, Mohammad & Kazemian, Arash & Passandideh-Fard, Mohammad, 2017. "Experimental investigation of the effects of using metal-oxides/water nanofluids on a photovoltaic thermal system (PVT) from energy and exergy viewpoints," Energy, Elsevier, vol. 138(C), pages 682-695.
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