Research Article
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Year 2021, Volume: 7 Issue: 1, 291 - 306, 01.01.2021
https://doi.org/10.18186/thermal.850645

Abstract

References

  • [1] Owusu P, Asumadu-Sarkodie S. A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent Engineering. 2016; 3(1): 1-14. https://doi.org/10.1080/23311916.2016.1167990.
  • [2] Intergovernmental Panel on Climate Change. Energy supply. In: Climate Change 2007 - Mitigation of Climate Change: Working Group III contribution to the Fourth Assessment Report of the IPCC. Cambridge: Cambridge University Press; 2007. p. 251–322. https://doi.org/10.1017/CBO9780511546013.008.
  • [3] Akadiri P, Chinyio E, Olomolaiye P. Design of A Sustainable Building: A Conceptual Framework for Implementing Sustainability in the Building Sector. Buildings. 2012; 2(2): 126–52. http://dx.doi.org/10.3390/buildings2020126.
  • [4] Nahar A, Hasanuzzaman M, Rahim N, Parvin S. Numerical investigation on the effect of different parameters in enhancing heat transfer performance of photovoltaic thermal systems. Renewable Energy. 2019; 132:284-295. https://doi.org/10.1016/j.renene.2018.08.008.
  • [5] Hussein A. Applications of nanotechnology to improve the performance of solar collectors – Recent advances and overview. Renewable and Sustainable Energy Reviews. 2016; 62:767-792. https://doi.org/10.1016/j.rser.2016.04.050.
  • [6] Hussein A. Applications of nanotechnology in renewable energies—A comprehensive overview and understanding. Renewable and Sustainable Energy Reviews. 2015; 42:460-476. https://doi.org/10.1016/j.rser.2014.10.027.
  • [7] Chen J, Liu Y. Locally linear embedding: a survey. Artificial Intelligence Review. 2011; 36(1): 29-48. https://doi.org/10.1007/s10462-010-9200-z.
  • [8] Computational Fluid Dynamics (CFD) [Internet]. Ifes-koeln.de. 2020 [cited 09 September 2018]. Available from: https://www.ifes-koeln.de/en/services-20-years-project-experience/simulation-analysis/computational-fluid-dynamics-cfd.html.
  • [9] Cooper P. Some factors affecting the absorption of solar radiation in solar stills. Solar Energy. 1972;13(4):373-381. https://doi.org/10.1016/0038-092X(72)90003-5.
  • [10] Hilbert S, Hänggi P, Dunkel J. Thermodynamic laws in isolated systems. Physical Review E. 2014; 90 (6). https://doi.org/10.1103/physreve.90.062116.
  • [11] Lotfi A. Numerical Analysis of Heat Transfer for Cooling of Photovoltaic Cells. PAMM. 2014; 14(1):501-502. https://doi.org/10.1002/pamm.201410238.
  • [12] Hammami M, Torretti S, Grimaccia F, Grandi G. Thermal and Performance Analysis of a Photovoltaic Module with an Integrated Energy Storage System. Applied Sciences. 2017; 7(11): 1107. https://doi.org/10.3390/app7111107.
  • [13] Heat Transfer Enhancement by Finned Heat Sinks with Micro-structured Roughness. Ventola L, Chiavazzo E, Calignano F, Manfredi D, Asinari P. Turin: IOP Publishing; 2014. p. 1-9. https://doi.org/10.1088/1742-6596/494/1/012009.
  • [14] Zhou X, Li X, Cheng K, Huai X. Numerical Study of Heat Transfer Enhancement of Nano Liquid-Metal Fluid Forced Convection in Circular Tube. Journal of Heat Transfer. 2018; 140 (8). https://doi.org/10.1115/1.4039685.
  • [15] Baliga B, Azrak R. Laminar Fully Developed Flow and Heat Transfer in Triangular Plate-Fin Ducts. Journal of Heat Transfer. 1986;108 (1): 24-32. https://doi.org/10.1115/1.3246900.
  • [16] Sharma A, Cogley A. Numerical Techniques in Radiative Heat Transfer for General, Scattering, PlaneParallel Media. Numerical Heat Transfer. 1982; 5(1): 21-38. https://doi.org/10.1080/10407788208913433.
  • [17] How Does Heat Affect Solar Panel Efficiencies? [Internet]. CED Greentech. [cited 12 December 2017]. Available from: https://www.cedgreentech.com/article/how-does-heat-affect-solar-panel-efficiencies.
  • [18] King D, Kratochvil J, Boyson W. Temperature coefficients for PV modules and arrays: measurement methods, difficulties, and results. Twenty Sixth IEEE Photovoltaic Specialists Conference. Anaheim, CA, USA: IEEE; 1997. p. 1183-1186. https://doi.org/10.1109/PVSC.1997.654300

MATHEMATICAL MODELLING, SIMULATION ANALYSIS OF A PHOTOVOLTAIC THERMAL SYSTEM

Year 2021, Volume: 7 Issue: 1, 291 - 306, 01.01.2021
https://doi.org/10.18186/thermal.850645

Abstract

Solar energy is one of the cleanest, environmentally friendly and abandoned available energy sources.
While the photovoltaic (PV) module converts this free and available energy in the form of electrical energy, the
efficiency of the PV module reduces as the temperature of the PV module rises above nominal value. The
Photovoltaic Thermal (PVT) system removes the wasted thermal energy from the surface of the PV which is caused
by the reflection of the sun's irradiance and stores it for the useful application, hence, maintain the electrical
efficiency of the PV module. This paper analyses the heat response data collected from a PVT system, under
normal conditions, with steady water acting as a coolant. Experimental and simulation values were compared and
analyzed in this paper. The thermal response of the PVT system depends solely on the irradiation of sunlight.
Therefore, the thermal energy output of the PVT system varies according to the solar irradiation. In this experiment,
the PVT thermal response was measured via Thermocouple sensors mounted in each layer of the PVT system,
which included solar panel, aluminum thermal plate, and heatsinks. A charge controller was connected to the output
of the PV to regulate the charging process for a battery so that the electrical output can also be affected by the
thermal response of the solar panel. The amount of solar irradiation was calculated based on the reading from the
Pyranometer and the surface area of the PV. The setting of the Pyranometer and the thermocouples to measure the
PV thermal value and the ambient temperature was set to ten seconds each, which was read using a data logger.
The entire experiment is conducted in a constant condition such as constant ambient temperature and pressure to
obtain fair data. Understanding the thermal transfer between each layer of the PVT system will help to increase
the efficiency of the electrical and thermal output, from the study it was known that faster heat transfer maintains
a steady temperature, this paper helps to design a PVT system with a better efficiency under a non-optimal
condition.

References

  • [1] Owusu P, Asumadu-Sarkodie S. A review of renewable energy sources, sustainability issues and climate change mitigation. Cogent Engineering. 2016; 3(1): 1-14. https://doi.org/10.1080/23311916.2016.1167990.
  • [2] Intergovernmental Panel on Climate Change. Energy supply. In: Climate Change 2007 - Mitigation of Climate Change: Working Group III contribution to the Fourth Assessment Report of the IPCC. Cambridge: Cambridge University Press; 2007. p. 251–322. https://doi.org/10.1017/CBO9780511546013.008.
  • [3] Akadiri P, Chinyio E, Olomolaiye P. Design of A Sustainable Building: A Conceptual Framework for Implementing Sustainability in the Building Sector. Buildings. 2012; 2(2): 126–52. http://dx.doi.org/10.3390/buildings2020126.
  • [4] Nahar A, Hasanuzzaman M, Rahim N, Parvin S. Numerical investigation on the effect of different parameters in enhancing heat transfer performance of photovoltaic thermal systems. Renewable Energy. 2019; 132:284-295. https://doi.org/10.1016/j.renene.2018.08.008.
  • [5] Hussein A. Applications of nanotechnology to improve the performance of solar collectors – Recent advances and overview. Renewable and Sustainable Energy Reviews. 2016; 62:767-792. https://doi.org/10.1016/j.rser.2016.04.050.
  • [6] Hussein A. Applications of nanotechnology in renewable energies—A comprehensive overview and understanding. Renewable and Sustainable Energy Reviews. 2015; 42:460-476. https://doi.org/10.1016/j.rser.2014.10.027.
  • [7] Chen J, Liu Y. Locally linear embedding: a survey. Artificial Intelligence Review. 2011; 36(1): 29-48. https://doi.org/10.1007/s10462-010-9200-z.
  • [8] Computational Fluid Dynamics (CFD) [Internet]. Ifes-koeln.de. 2020 [cited 09 September 2018]. Available from: https://www.ifes-koeln.de/en/services-20-years-project-experience/simulation-analysis/computational-fluid-dynamics-cfd.html.
  • [9] Cooper P. Some factors affecting the absorption of solar radiation in solar stills. Solar Energy. 1972;13(4):373-381. https://doi.org/10.1016/0038-092X(72)90003-5.
  • [10] Hilbert S, Hänggi P, Dunkel J. Thermodynamic laws in isolated systems. Physical Review E. 2014; 90 (6). https://doi.org/10.1103/physreve.90.062116.
  • [11] Lotfi A. Numerical Analysis of Heat Transfer for Cooling of Photovoltaic Cells. PAMM. 2014; 14(1):501-502. https://doi.org/10.1002/pamm.201410238.
  • [12] Hammami M, Torretti S, Grimaccia F, Grandi G. Thermal and Performance Analysis of a Photovoltaic Module with an Integrated Energy Storage System. Applied Sciences. 2017; 7(11): 1107. https://doi.org/10.3390/app7111107.
  • [13] Heat Transfer Enhancement by Finned Heat Sinks with Micro-structured Roughness. Ventola L, Chiavazzo E, Calignano F, Manfredi D, Asinari P. Turin: IOP Publishing; 2014. p. 1-9. https://doi.org/10.1088/1742-6596/494/1/012009.
  • [14] Zhou X, Li X, Cheng K, Huai X. Numerical Study of Heat Transfer Enhancement of Nano Liquid-Metal Fluid Forced Convection in Circular Tube. Journal of Heat Transfer. 2018; 140 (8). https://doi.org/10.1115/1.4039685.
  • [15] Baliga B, Azrak R. Laminar Fully Developed Flow and Heat Transfer in Triangular Plate-Fin Ducts. Journal of Heat Transfer. 1986;108 (1): 24-32. https://doi.org/10.1115/1.3246900.
  • [16] Sharma A, Cogley A. Numerical Techniques in Radiative Heat Transfer for General, Scattering, PlaneParallel Media. Numerical Heat Transfer. 1982; 5(1): 21-38. https://doi.org/10.1080/10407788208913433.
  • [17] How Does Heat Affect Solar Panel Efficiencies? [Internet]. CED Greentech. [cited 12 December 2017]. Available from: https://www.cedgreentech.com/article/how-does-heat-affect-solar-panel-efficiencies.
  • [18] King D, Kratochvil J, Boyson W. Temperature coefficients for PV modules and arrays: measurement methods, difficulties, and results. Twenty Sixth IEEE Photovoltaic Specialists Conference. Anaheim, CA, USA: IEEE; 1997. p. 1183-1186. https://doi.org/10.1109/PVSC.1997.654300
There are 18 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Mohammad Taghi Hajibeigy This is me 0000-0003-0980-0998

Rashmi Walvekar This is me 0000-0001-8283-1278

Aravind Cv This is me 0000-0002-2060-8748

Publication Date January 1, 2021
Submission Date July 25, 2018
Published in Issue Year 2021 Volume: 7 Issue: 1

Cite

APA Hajibeigy, M. T., Walvekar, R., & Cv, A. (2021). MATHEMATICAL MODELLING, SIMULATION ANALYSIS OF A PHOTOVOLTAIC THERMAL SYSTEM. Journal of Thermal Engineering, 7(1), 291-306. https://doi.org/10.18186/thermal.850645
AMA Hajibeigy MT, Walvekar R, Cv A. MATHEMATICAL MODELLING, SIMULATION ANALYSIS OF A PHOTOVOLTAIC THERMAL SYSTEM. Journal of Thermal Engineering. January 2021;7(1):291-306. doi:10.18186/thermal.850645
Chicago Hajibeigy, Mohammad Taghi, Rashmi Walvekar, and Aravind Cv. “MATHEMATICAL MODELLING, SIMULATION ANALYSIS OF A PHOTOVOLTAIC THERMAL SYSTEM”. Journal of Thermal Engineering 7, no. 1 (January 2021): 291-306. https://doi.org/10.18186/thermal.850645.
EndNote Hajibeigy MT, Walvekar R, Cv A (January 1, 2021) MATHEMATICAL MODELLING, SIMULATION ANALYSIS OF A PHOTOVOLTAIC THERMAL SYSTEM. Journal of Thermal Engineering 7 1 291–306.
IEEE M. T. Hajibeigy, R. Walvekar, and A. Cv, “MATHEMATICAL MODELLING, SIMULATION ANALYSIS OF A PHOTOVOLTAIC THERMAL SYSTEM”, Journal of Thermal Engineering, vol. 7, no. 1, pp. 291–306, 2021, doi: 10.18186/thermal.850645.
ISNAD Hajibeigy, Mohammad Taghi et al. “MATHEMATICAL MODELLING, SIMULATION ANALYSIS OF A PHOTOVOLTAIC THERMAL SYSTEM”. Journal of Thermal Engineering 7/1 (January 2021), 291-306. https://doi.org/10.18186/thermal.850645.
JAMA Hajibeigy MT, Walvekar R, Cv A. MATHEMATICAL MODELLING, SIMULATION ANALYSIS OF A PHOTOVOLTAIC THERMAL SYSTEM. Journal of Thermal Engineering. 2021;7:291–306.
MLA Hajibeigy, Mohammad Taghi et al. “MATHEMATICAL MODELLING, SIMULATION ANALYSIS OF A PHOTOVOLTAIC THERMAL SYSTEM”. Journal of Thermal Engineering, vol. 7, no. 1, 2021, pp. 291-06, doi:10.18186/thermal.850645.
Vancouver Hajibeigy MT, Walvekar R, Cv A. MATHEMATICAL MODELLING, SIMULATION ANALYSIS OF A PHOTOVOLTAIC THERMAL SYSTEM. Journal of Thermal Engineering. 2021;7(1):291-306.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK http://eds.yildiz.edu.tr/journal-of-thermal-engineering