THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

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Dijie Xue

,

Xiaowei Hu

,

Xinhua Xu

PREDICTION OF STRUCTURAL MECHANICAL PROPERTIES OF ENERGY-SAVING MATERIALS FOR SOLAR PHOTOVOLTAIC PHOTO-THERMAL SYSTEM BASED ON DEEP LEARNING

ABSTRACT
In order to study the annual operating efficiency of solar photovoltaic/photo-thermal collectors, this paper proposes a prediction of structural mechanical properties of energy-saving materials for solar photovoltaic photo-thermal systems based on deep learning. Based on the test data of a solar photovoltaic module, the performance of photovoltaic photo-thermal module is evaluated from the perspectives of the First law of thermodynamics, the Second law of thermodynamics, power generation efficiency and heat collection efficiency. The experimental results show that the working temperature difference increases from 6.8 K to 45.3 K, the normalized temperature difference increases from to, and the power generation efficiency decreases from 0.105 to 0.095 by 0.010, the percentage of change is 9.4%, the heat collection efficiency is reduced from 0.4534 to 0.2120 by 0.2414, and the reduction rate is 53%, compared with the generation efficiency and heat collection efficiency, the efficiency changes during the test period are relatively small. In conclusion for photovoltaic/photo-thermal components, environmental parameters have a greater impact on the heat collection efficiency.
KEYWORDS
solar photovoltaic photo-thermal module, deep learning, heat collection efficiency, power generation efficiency
PAPER SUBMITTED: 2022-07-07
PAPER REVISED: 2022-09-12
PAPER ACCEPTED: 2022-09-27
PUBLISHED ONLINE: 2023-03-25
DOI REFERENCE: https://doi.org/10.2298/TSCI2302109X
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2023, VOLUME 27, ISSUE Issue 2, PAGES [1109 - 1116]
REFERENCES
  1. Qu, R., et al., Milestones, Hotspots and Trends in the Development of Electric Machines, iEnergy, 1 (2022), 1, pp. 82-99
  2. Chao., et al., Preface to the Special Issue on Challenges and Possibilities of Energy Storage, Journal of Semiconductors, 41 (2020), 09, 090101
  3. Lyashkov, A. Y., et al., Modelling of Resettable Fuses Characteristics for Protection of Solar Arrays from Current Overloads, Multidiscipline Modelling in Materials and Structures, 18 (2022), 2, pp. 328-338
  4. Li, Y., et al., A New Artificial Photosynthetic System Coupling Photovoltaic Electrocatalysis with Photo-Thermal Catalysis, On-line first, doi.org/10.48550/arXiv.2204.04971, 2022
  5. Zhong, Y. H., et al., Research on a New Type of Solar Photovoltaic Solar Thermal Integrated Louver Curtain Wall, IOP Conference Series: Earth and Environmental Science, 30 (2020), 5, pp. 12-26
  6. Stalin, P., et al., Effects of CeO2-water Nanofluid on the Efficiency of Flat Plate Solar Collector, Chinese Journal of Mechanical Engineering, 41 (2020), 1, pp. 75-83
  7. Meixiang, L. I., et al., Transient Heat Transfer Characteristics of Air-Array-Jet Impingement with Different Nozzle Arrangements on High-Temperature Flat Plate in Small Jet-to-Plate Distance, Journal of Drainage and Irrigation Machinery Engineering, 38 (2020), 3, 8
  8. Wang, P., et al., Designandconstructionof a 3-D Electrodewith Biomass-Derived Carbon Current Collector Andwater-Soluble Binder for High-Sulfur-Loading Lithium-Sulfur Batteries, Carbon Energy, 2 (2020), 4, 11
  9. In-Mok., et al., Effects of Inter-Electrode Insertion on the Performance and Thermal Flow Fields of a Hollow-Electrode Plasma Torch, Plasma Science and Technology, 22 (2020), 01, pp. 37-48
  10. Meihong, Y. U., et al., Investigation on the Performance of the Pump-Free Double Heat Source Ejector Refrigeration System with r1234yf, Journal of Thermal Science: English Edition, 31 (2022), 5, 13
  11. Zhu, J., et al., The Scattering Mechanism of Squall Lines with C-band Dual Polarization Radar: Part II - The Mechanism of an Abnormal ZDR Echo in Clear Air Based on the Parameterization of Turbulence Deformation, Frontiers in Earth Sciences: English Edition, 16 (2022), 2, 12
  12. Pang, M., et al., Liquid-Phase Assisted Laser Preparation of 304 Stainless Steel Surface Texture and Tribological Properties Evaluated, Industrial Lubrication and Tribology, 74 (2022), 6, pp. 654-662
  13. Long, M., et al., Surface Passivation with a Fluorocarbon-Based Pyridine Derivative for High-Crystallinity Perovskite Solar Cells with Efficiency Over 20% and Good Humidity Stability, ACS Applied Energy Materials, 4 (2021), 10, pp. 10484-10492
  14. Chumley, T., et al., Entropy Production in Random Billiards, Discrete, Continuous Dynamical Systems, 41 (2021), 3, pp. 1319-1346
  15. Atkinson, E., et al., Challenges in the Adoption of Mobile Information Communication Technology (MICT) in the Construction Phase of Infrastructure Projects in the UK, International Journal of Building Pathology and Adaptation, 40 (2022), 3, pp. 327-344
  16. Stock, J. R., et al., The Moderating Impact of Product Shadows on ad Effectiveness Perceptions for Gestalt vs. Component Product Frames, Product Presentation Color, and Consumer Visual Processing Modes, Journal of Consumer Marketing, 39 (2022), 4, pp. 345-357
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Prediction of structural mechanical properties of energy-saving materials for solar photovoltaic photo-thermal system based on deep learning

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence