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The core carrier working substances of heat accumulation of solar thermal generator units are analyzed through computer numerical simulation analysis and simulation experiments, including the selection criteria of working substances, the mechanism of heat accumulation system, the correlation between power generation efficiency and the evaporation temperature of working substance, the correlation between the condensing temperature and condensing pressure of working substance, and the influence of working substance velocity on heat accumulation capacity. The results show that under the same radiation intensity, the greater the flow velocity of the working substance is, the worse the heat accumulation and heat conduction of the working substance is. As the condensing temperature of the working substance increases, the condensing pressure also increases. As the evaporation temperature of the working substance increases, the power generation efficiency of the working substance also increases significantly. In summary, the heat accumulation system based on the high efficiency working substances is vital for the normal operation of solar thermal generator units. Once the solar radiation intensity cannot meet the needs of power generation, the heat accumulation system will output previously-stored thermal energy. Meanwhile, its collection and release of thermal energy depend on the photovoltaic intensity. The constructed hot-oil working substance-based heat accumulation system satisfies the normal operation needs for thermal generator units, which is significant for subsequent research.
PAPER REVISED: 2020-01-12
PAPER ACCEPTED: 2020-01-29
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THERMAL SCIENCE YEAR 2020, VOLUME 24, ISSUE Issue 5, PAGES [3279 - 3287]
  1. Vigneysh, T., Kumarappan, N., Autonomous operation and control of photovoltaic/solid oxide fuel cell/battery energy storage based microgrid using fuzzy logic controller, International journal of hydrogen energy, 41 (2016), 3, pp. 1877-1891.
  2. Kamal, T., et al. An optimal power sharing and power control strategy of photovoltaic/fuel cell/ultra-capacitor hybrid power system, Journal of Renewable and Sustainable Energy, 8 (2016), 3, pp. 035301.
  3. Ahmed, M. H., Amin, A. M. A., Thermal analysis of the performance of linear fresnel solar concentrator, Journal of Clean Energy Technologies, 4 (2016), 5, pp. 316-320.
  4. Al-Waeli, A. H., et al., Photovoltaic solar thermal (PV/T) collectors past, present and future: A. International Journal of Applied Engineering Research, 11 (2016), 22, pp. 10757-10765.
  5. Shaofei Wu. Study and evaluation of clustering algorithm for solubility and thermodynamic data of glycerol derivatives, Thermal Science, 23(2019), 5, pp.2867-2875
  6. Salazar, G. A., et al., Analytic modeling of parabolic trough solar thermal power plants, Energy, 138 (2017), 11, pp. 1148-1156.
  7. Al-Waeli, A. H. A., et al., Techno-economical assessment of grid connected PV/T using nanoparticles and water as base-fluid systems in Malaysia, International Journal of Sustainable Energy, 37 (2018), 6, pp. 558-575.
  8. Papoutsis, E. G., Koronaki, I. P., Papaefthimiou V D. Numerical simulation and parametric study of different types of solar cooling systems under Mediterranean climatic conditions, Energy and Buildings, 138 (2017), 8, pp. 601-611.
  9. Bianchini, A., et al., Photovoltaic/thermal (PV/T) solar system: Experimental measurements, performance analysis and economic assessment. Renewable Energy, 111 (2017), 12, pp. 543-555.
  10. Quansah, D. A., et al., Performance analysis of different grid-connected solar photovoltaic (PV) system technologies with combined capacity of 20 kW located in humid tropical climate, International journal of hydrogen energy, 42 (2017), 4, pp. 4626-4635.
  11. Zarzoum, K., et al., Numerical study of a water distillation system using solar energy, Journal of Mechanical Science and Technology, 30 (2016), 2, pp. 889-902.
  12. Shaofei Wu,Mingqing Wang,Yuntao Zou. Research on internet information mining based on agent algorithm, Future Generation Computer Systems, 86(2018), pp.598-602.
  13. Congedo, P., et al., Horizontal air-ground heat exchanger performance and humidity simulation by computational fluid dynamic analysis, Energies, 9 (2016), 11, pp. 930.
  14. Lee, H. J., et al., Numerical study on optical performances of the first central-receiver solar thermal power plant in Korea, Journal of Mechanical Science and Technology, 30 (2016), 4, pp. 1911-1921.
  15. Kant, K., et al., Thermal response of poly-crystalline silicon photovoltaic panels: Numerical simulation and experimental study, Solar Energy, 134 (2017), 11, pp. 147-155.
  16. Koronaki, I. P., et al., Thermodynamic modeling and exergy analysis of a solar adsorption cooling system with cooling tower in Mediterranean conditions, Applied Thermal Engineering, 99 (2017), 8, pp. 1027-1038.
  17. Erdenedavaa, P., et al., Model analysis of solar thermal system with the effect of dust deposition on the collectors, Energies, 11 (2018), 7, pp. 1795.
  18. Kumar, P. T., CFD based Approach to Channel Depth Optimization of Forced Convection Flat Plate Solar Air Heater, Asian Journal of Research in Social Sciences and Humanities, 6 (2016), 8, pp. 2220-2230.

© 2022 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