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Analysis and CFD Modeling of Thermal Collectors with a Tracker System

Author

Listed:
  • Miroslav Rimar

    (Faculty of Manufacturing Technologies with the Seat in Presov, Technical University of Kosice, Bayerova 1, 080 01 Presov, Slovakia)

  • Marcel Fedak

    (Faculty of Manufacturing Technologies with the Seat in Presov, Technical University of Kosice, Bayerova 1, 080 01 Presov, Slovakia)

  • Andrii Kulikov

    (Faculty of Manufacturing Technologies with the Seat in Presov, Technical University of Kosice, Bayerova 1, 080 01 Presov, Slovakia)

  • Olha Kulikova

    (Faculty of Manufacturing Technologies with the Seat in Presov, Technical University of Kosice, Bayerova 1, 080 01 Presov, Slovakia)

  • Martin Lopusniak

    (The Faculty of Civil Engineering, Technical University of Kosice, Vysokoskolska 4, 042 00 Kosice, Slovakia)

Abstract

Thermal solar systems are currently one of the most suitable ways to convert solar radiation into usable energy. To ensure maximum energy gain, it is necessary to correctly adjust the direction of the collectors in the southern direction. The deviation from the south is energy acceptable, but there are losses that reduce the overall efficiency of the system. A suitable tool for increasing the efficiency of solar thermal collectors is the usage of tracker systems which track the position of the Sun along the ecliptic orbit. The system is directed south towards the equator. It is important to know the effectiveness of the system in terms of assessment. For the monitored period of the equinox, the increase of the solar thermal gain of the system with rotation of the collectors represents 16.23%. One of the methods is to use simulation tools to simulate different conditions of solar energy flow. A model in the Ansys software was developed for solar thermal flat collectors. The model is based on setting the material parameters of the collector construction, the properties of the absorber in terms of absorption as well as the materials and its geometry, the properties of the heat transfer medium, and the setting of the volume flows. At the same time, it is possible to define the change in the energy flow of the incident radiation. The model is a useful tool for evaluating collectors used by different tracking systems. The model was experimentally verified on a tracker system and compared with experimental data with good agreement. For sunny days, the model shows an accuracy rate of 98.7% in the condition without rotation, and 99.1% in the condition with rotation of the collector. After including the 5% degree of uncertainty for the condition of the rotated collectors, the accuracy of the model is 94.2% and for the condition without rotation 93.8%.

Suggested Citation

  • Miroslav Rimar & Marcel Fedak & Andrii Kulikov & Olha Kulikova & Martin Lopusniak, 2022. "Analysis and CFD Modeling of Thermal Collectors with a Tracker System," Energies, MDPI, vol. 15(18), pages 1-28, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6586-:d:910404
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    References listed on IDEAS

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    1. Wang, Dengjia & Mo, Zhelong & Liu, Yanfeng & Ren, Yuchao & Fan, Jianhua, 2022. "Thermal performance analysis of large-scale flat plate solar collectors and regional applicability in China," Energy, Elsevier, vol. 238(PC).
    2. Benghanem, M., 2011. "Optimization of tilt angle for solar panel: Case study for Madinah, Saudi Arabia," Applied Energy, Elsevier, vol. 88(4), pages 1427-1433, April.
    3. Hartley, L.E. & Martínez-Lozano, J.A. & Utrillas, M.P. & Tena, F. & Pedrós, R., 1999. "The optimisation of the angle of inclination of a solar collector to maximise the incident solar radiation," Renewable Energy, Elsevier, vol. 17(3), pages 291-309.
    4. Yadav, Amit Kumar & Chandel, S.S., 2013. "Tilt angle optimization to maximize incident solar radiation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 503-513.
    5. Muneer, T. & Younes, S. & Munawwar, S., 2007. "Discourses on solar radiation modeling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(4), pages 551-602, May.
    6. Ibrahim, D., 1995. "Optimum tilt angle for solar collectors used in Cyprus," Renewable Energy, Elsevier, vol. 6(7), pages 813-819.
    7. Kacira, Murat & Simsek, Mehmet & Babur, Yunus & Demirkol, Sedat, 2004. "Determining optimum tilt angles and orientations of photovoltaic panels in Sanliurfa, Turkey," Renewable Energy, Elsevier, vol. 29(8), pages 1265-1275.
    8. Gopinathan, K.K. & Soler, Alfonso, 1996. "Effect of sunshine and solar declination on the computation of monthly mean daily diffuse solar radiation," Renewable Energy, Elsevier, vol. 7(1), pages 89-93.
    9. Jacovides, C.P. & Tymvios, F.S. & Assimakopoulos, V.D. & Kaltsounides, N.A., 2006. "Comparative study of various correlations in estimating hourly diffuse fraction of global solar radiation," Renewable Energy, Elsevier, vol. 31(15), pages 2492-2504.
    10. Garg, H.P. & Datta, Gouri, 1993. "Fundamentals and characteristics of solar radiation," Renewable Energy, Elsevier, vol. 3(4), pages 305-319.
    11. Li, Huashan & Ma, Weibin & Wang, Xianlong & Lian, Yongwang, 2011. "Estimating monthly average daily diffuse solar radiation with multiple predictors: A case study," Renewable Energy, Elsevier, vol. 36(7), pages 1944-1948.
    12. Demain, Colienne & Journée, Michel & Bertrand, Cédric, 2013. "Evaluation of different models to estimate the global solar radiation on inclined surfaces," Renewable Energy, Elsevier, vol. 50(C), pages 710-721.
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