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Cooled and uncooled photovoltaic panels modeling by using genetic expression programming

Yıl 2017, Cilt: 1 Sayı: 1, 13 - 22, 30.06.2017

Öz

The aim of this paper is to estimate the
efficiency of photovoltaic (PV) panels with and without active cooling by using
genetic expression programming (GEP). An active cooling system has been
developed based on water spraying (non-uniformly) of PV panels, and we provide to
increase the efficiency of PV panels. Panels is not cooled, the temperature of
the panel is increased and the efficiency was calculated as 16.81%. When the
panels are cooled, the panel temperature fell and the efficiency was calculated
as 18.83%. GEP is preferred since it generates a mathematical function which
fits to given experimental data. The test results indicate that for the model
equations obtained, the determination coefficients (R2) are very
high. These good agreements confirm the validity of the developed GEP models.

Kaynakça

  • ] Photovoltaic Efficiency: Lesson 2, The Temperature Effect FundamentalsArticle,URL:https://www.teachengineering.org/collection/cub_/lessons/cub_pveff/Attachments/cub_pveff_lesson02_fundamentalsarticle_v6_tedl_dwc.pdf.
  • [2] Chinamhora, T.; Cheng, G.; Tham, Y.; Irshad, W. PV panel cooling system for Malaysia climate conditions, Proceedings of International Conference on Energy and Sustainability, NED University of Engineering &Technology, Karachi, Pakistan, (2013).
  • [3] Virtuani, A.; Pavanello, D.; Friesen, G. Overview of Temperature Coefficients of Different Thin Film Photovoltaic Technologies. 5th World Conference on Photovoltaic Energy Conversion, 6-10 September (2010), Valencia, Spain.
  • [4] King, D.L.; Kratochvil, J.A.; Boyson, W.E. Temperature Coefficients for PV Modules and Arrays: Measurement Methods, Difficulties, and Results. Photovoltaic Specialists Conference, 29 Sep -03 Oct 1997, Anaheim, CA. USA.
  • [5] SEI, (2004). Photovoltaics Design and Installation Manual. New Society Publishers.
  • [6] Hussain, F.; Anuar, Z.; Khairuddin, S.; Othman, M.Y.H.; Yatim, B.; Ruslan, H.; Sopian. K. Comparison study of air –based photovoltaic/thermal (PV/T) collector with different designs of heat exchanger. Proceedings of World Renewable Energy Forum 2012 (WREF2012), Denver, Colorado, USA.
  • [7] Abdulgafar, S.A.; Omar, O.S.; Yousif, K.M. Improving the efficiency of polycrystalline solar panel via water immersion method. // International Journal of Innovative Research in Science, Engineering and Technology, 3, 1(2014), pp. 8127-8132.
  • [8] Teo, H.G.; Lee, P.S.; Hawlader, M.N.A. An active cooling system for photovoltaic modules. // Appl. Energ. 90, (2012) pp. 309–315.
  • [9] Tarabsheh, A. A.; Voutetakis, S.; Papadopoulos, A.I.; Seferis, P.; Etier, I.; Saraereh, O. Investigation of temperature effects in efficiency improvement of non-uniformly cooled photovoltaic cells. // Chemical Engineering Transactions, 35, (2013).
  • [10] Royne, A.; Dey, C.J.; Mills, D.R. Cooling of photovoltaic cells under concentrated illumination: a critical review. // Solar Energy Material & Solar Cells, 86, (2005), pp. 451–483.
  • [11] Skoplaki, E.; Palyvos, J.A. On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations. // Solar Energy 83, (2009) pp. 614-624.
  • [12] Sanusi, Y.K.; Fajinmi, G.R.; Babatunde, E.B. Effects of ambient temperature on the performance of a photovoltaic solar system in a tropical area, The Pasific Journal of Science and Technology, 12, 2(2011), pp. 176-180.
  • [13] Teo, H.G.; Lee, P.S.; Hawlader, M.N.A. An active cooling system for photovoltaic modules. // Applied Energy 90, (2012), pp. 309-315.
  • [14] Moharram, K.A.; Abd-Elhady, M.S.; Kandil, H.A.; El-Sherif, H. Enhancing the performance of photovoltaic panels by water cooling. //Ain Shams Engineering Journal 4, (2013), pp. 869-877.
  • [15] Dorobantu, L., Popescu, M.O. Increasing the efficiency of photovoltaic panels through cooling water film, U.P.B. Sci. // Bull. Series C, 75, 4(2013), pp. 223-232.
  • [16] Zhu, L.; Boehm, R. F.; Wang, Y.; Halford, C.; Sun, Y. Water immersion cooling of PV cells in a high concentration system. // Solar Energy Materials & Solar Cells, 95, (2011) pp. 538–545.
  • [17] Tonui, J.K.; Tripanagnostopoulos, Y. Air-cooled PV/T solar collectors with low cost performance improvements. // Solar Energy, 81, (2007) pp. 498–511.
  • [18] Ceylan, İ.; Gürel, A.E.; Demircan, H.; Aksu, B. Cooling of photovoltaic module with temperature controlled solar collector. // Energy and Buildings, 72 (2014) 96-101.
  • [19] Kalogirou, S.A. Application of artificial neural-networks for energy systems. // Appl. Energ., 67(2000), pp. 17-35.
  • [20] Esen, H.; Inalli, M. Modelling of a vertical ground coupled heat pump system by using artificial neural networks. // Expert Sys. Appl., 36 (2009), pp. 10229-10238.
  • [21] Esen, H.; Inalli, M. ANN and ANFIS models for performance evaluation of a vertical ground source heat pump system. // Expert Sys. Appl., 37 (2010) pp. 8134-8147.
  • [22] Ghaderi, A.; Moghaddam, M.P.; Sheikh-El-Eslami, M.K. Energy efficiency resource modeling in generation expansion planning. // Energy, 68 (2014), pp. 529-537.
  • [23] Gitizadeh, M.; Kaji, M.; Aghaei, J. Risk based multiobjective generation expansion planning considering renewable energy sources. // Energy, 50, 1(2013), pp. 74-82.
  • [24] Esen, H.; Tuna, O. Investigation of photovoltaic assisted misting system application for arbor refreshment. // International Journal of Photoenergy, vol. 2015, Article ID 748219, 11 pages, (2015), doi:10.1155/2015/748219.
  • [25] Ferreira, C. Gene expression programming: a new adaptive algorithm for solving problems. // Complex Syst., 13, 2(2001), pp. 87– 129.
  • [26] Muñoz, D.G. Discovering unknown equations that describe large data sets using genetic programming techniques. Master thesis in Electronic Systems at Linköping Institute of Technology. LITH-ISY-EX--05/3697, (2005).
  • [27] Cevik, A. A new formulation for longitudinally stiffened webs subjected to patch loading. // Journal of Constructional Steel Research, 63, (2007), pp. 1328–1340.
  • [28] Teodorescu, L.; Sherwood, D. High Energy Physics event selection with Gene Expression Programming. // Computer Physics Communications, 178, (2008), pp. 409–419.
  • [29] Güllü, H. Function finding via genetic expression programming for strength and elastic properties of clay treated with bottom ash. // Engineering Applications of Artificial Intelligence, 35, (2014), pp. 143–157.
  • [30] Baylar, A.; Unsal, M.; Ozkan, F. GEP Modeling of Oxygen Transfer Efficiency Prediction in Aeration Cascades. // KSCE Journal of Civil Engineering, 15, 5(2011), pp. 799-804.
  • [31] Unsal, M. GEP modeling of penetration depth in sharp crested weirs. //Arab J Sci Eng., 37, (2012), pp. 2163-2174.
  • [32] Baylar, A.; Unsal, M.; Ozkan, F.; Kayadelen, C. Estimation of air entrainment and aeration efficiencies of weirs using genetic expression programming. // KSCE Journal of Civil Engineering, 18, 6(2014), pp. 1632-1640.
  • [33] Unsal, M.; Baylar, A.; Kayadelen, C.; Ozkan, F. The modeling of oxygen transfer efficiency in gated conduits by using genetic expression programming. // Journal of Eng. Research, 2, 2(2014), pp. 15-28.
Yıl 2017, Cilt: 1 Sayı: 1, 13 - 22, 30.06.2017

Öz

Kaynakça

  • ] Photovoltaic Efficiency: Lesson 2, The Temperature Effect FundamentalsArticle,URL:https://www.teachengineering.org/collection/cub_/lessons/cub_pveff/Attachments/cub_pveff_lesson02_fundamentalsarticle_v6_tedl_dwc.pdf.
  • [2] Chinamhora, T.; Cheng, G.; Tham, Y.; Irshad, W. PV panel cooling system for Malaysia climate conditions, Proceedings of International Conference on Energy and Sustainability, NED University of Engineering &Technology, Karachi, Pakistan, (2013).
  • [3] Virtuani, A.; Pavanello, D.; Friesen, G. Overview of Temperature Coefficients of Different Thin Film Photovoltaic Technologies. 5th World Conference on Photovoltaic Energy Conversion, 6-10 September (2010), Valencia, Spain.
  • [4] King, D.L.; Kratochvil, J.A.; Boyson, W.E. Temperature Coefficients for PV Modules and Arrays: Measurement Methods, Difficulties, and Results. Photovoltaic Specialists Conference, 29 Sep -03 Oct 1997, Anaheim, CA. USA.
  • [5] SEI, (2004). Photovoltaics Design and Installation Manual. New Society Publishers.
  • [6] Hussain, F.; Anuar, Z.; Khairuddin, S.; Othman, M.Y.H.; Yatim, B.; Ruslan, H.; Sopian. K. Comparison study of air –based photovoltaic/thermal (PV/T) collector with different designs of heat exchanger. Proceedings of World Renewable Energy Forum 2012 (WREF2012), Denver, Colorado, USA.
  • [7] Abdulgafar, S.A.; Omar, O.S.; Yousif, K.M. Improving the efficiency of polycrystalline solar panel via water immersion method. // International Journal of Innovative Research in Science, Engineering and Technology, 3, 1(2014), pp. 8127-8132.
  • [8] Teo, H.G.; Lee, P.S.; Hawlader, M.N.A. An active cooling system for photovoltaic modules. // Appl. Energ. 90, (2012) pp. 309–315.
  • [9] Tarabsheh, A. A.; Voutetakis, S.; Papadopoulos, A.I.; Seferis, P.; Etier, I.; Saraereh, O. Investigation of temperature effects in efficiency improvement of non-uniformly cooled photovoltaic cells. // Chemical Engineering Transactions, 35, (2013).
  • [10] Royne, A.; Dey, C.J.; Mills, D.R. Cooling of photovoltaic cells under concentrated illumination: a critical review. // Solar Energy Material & Solar Cells, 86, (2005), pp. 451–483.
  • [11] Skoplaki, E.; Palyvos, J.A. On the temperature dependence of photovoltaic module electrical performance: A review of efficiency/power correlations. // Solar Energy 83, (2009) pp. 614-624.
  • [12] Sanusi, Y.K.; Fajinmi, G.R.; Babatunde, E.B. Effects of ambient temperature on the performance of a photovoltaic solar system in a tropical area, The Pasific Journal of Science and Technology, 12, 2(2011), pp. 176-180.
  • [13] Teo, H.G.; Lee, P.S.; Hawlader, M.N.A. An active cooling system for photovoltaic modules. // Applied Energy 90, (2012), pp. 309-315.
  • [14] Moharram, K.A.; Abd-Elhady, M.S.; Kandil, H.A.; El-Sherif, H. Enhancing the performance of photovoltaic panels by water cooling. //Ain Shams Engineering Journal 4, (2013), pp. 869-877.
  • [15] Dorobantu, L., Popescu, M.O. Increasing the efficiency of photovoltaic panels through cooling water film, U.P.B. Sci. // Bull. Series C, 75, 4(2013), pp. 223-232.
  • [16] Zhu, L.; Boehm, R. F.; Wang, Y.; Halford, C.; Sun, Y. Water immersion cooling of PV cells in a high concentration system. // Solar Energy Materials & Solar Cells, 95, (2011) pp. 538–545.
  • [17] Tonui, J.K.; Tripanagnostopoulos, Y. Air-cooled PV/T solar collectors with low cost performance improvements. // Solar Energy, 81, (2007) pp. 498–511.
  • [18] Ceylan, İ.; Gürel, A.E.; Demircan, H.; Aksu, B. Cooling of photovoltaic module with temperature controlled solar collector. // Energy and Buildings, 72 (2014) 96-101.
  • [19] Kalogirou, S.A. Application of artificial neural-networks for energy systems. // Appl. Energ., 67(2000), pp. 17-35.
  • [20] Esen, H.; Inalli, M. Modelling of a vertical ground coupled heat pump system by using artificial neural networks. // Expert Sys. Appl., 36 (2009), pp. 10229-10238.
  • [21] Esen, H.; Inalli, M. ANN and ANFIS models for performance evaluation of a vertical ground source heat pump system. // Expert Sys. Appl., 37 (2010) pp. 8134-8147.
  • [22] Ghaderi, A.; Moghaddam, M.P.; Sheikh-El-Eslami, M.K. Energy efficiency resource modeling in generation expansion planning. // Energy, 68 (2014), pp. 529-537.
  • [23] Gitizadeh, M.; Kaji, M.; Aghaei, J. Risk based multiobjective generation expansion planning considering renewable energy sources. // Energy, 50, 1(2013), pp. 74-82.
  • [24] Esen, H.; Tuna, O. Investigation of photovoltaic assisted misting system application for arbor refreshment. // International Journal of Photoenergy, vol. 2015, Article ID 748219, 11 pages, (2015), doi:10.1155/2015/748219.
  • [25] Ferreira, C. Gene expression programming: a new adaptive algorithm for solving problems. // Complex Syst., 13, 2(2001), pp. 87– 129.
  • [26] Muñoz, D.G. Discovering unknown equations that describe large data sets using genetic programming techniques. Master thesis in Electronic Systems at Linköping Institute of Technology. LITH-ISY-EX--05/3697, (2005).
  • [27] Cevik, A. A new formulation for longitudinally stiffened webs subjected to patch loading. // Journal of Constructional Steel Research, 63, (2007), pp. 1328–1340.
  • [28] Teodorescu, L.; Sherwood, D. High Energy Physics event selection with Gene Expression Programming. // Computer Physics Communications, 178, (2008), pp. 409–419.
  • [29] Güllü, H. Function finding via genetic expression programming for strength and elastic properties of clay treated with bottom ash. // Engineering Applications of Artificial Intelligence, 35, (2014), pp. 143–157.
  • [30] Baylar, A.; Unsal, M.; Ozkan, F. GEP Modeling of Oxygen Transfer Efficiency Prediction in Aeration Cascades. // KSCE Journal of Civil Engineering, 15, 5(2011), pp. 799-804.
  • [31] Unsal, M. GEP modeling of penetration depth in sharp crested weirs. //Arab J Sci Eng., 37, (2012), pp. 2163-2174.
  • [32] Baylar, A.; Unsal, M.; Ozkan, F.; Kayadelen, C. Estimation of air entrainment and aeration efficiencies of weirs using genetic expression programming. // KSCE Journal of Civil Engineering, 18, 6(2014), pp. 1632-1640.
  • [33] Unsal, M.; Baylar, A.; Kayadelen, C.; Ozkan, F. The modeling of oxygen transfer efficiency in gated conduits by using genetic expression programming. // Journal of Eng. Research, 2, 2(2014), pp. 15-28.
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Konular Mühendislik
Bölüm Makaleler
Yazarlar

Hikmet Esen 0000-0001-8802-8080

Abdullah Kapıcıoğlu 0000-0003-2982-0312

Onur Özsolak

Yayımlanma Tarihi 30 Haziran 2017
Gönderilme Tarihi 7 Temmuz 2017
Yayımlandığı Sayı Yıl 2017 Cilt: 1 Sayı: 1

Kaynak Göster

APA Esen, H., Kapıcıoğlu, A., & Özsolak, O. (2017). Cooled and uncooled photovoltaic panels modeling by using genetic expression programming. International Journal of Innovative Engineering Applications, 1(1), 13-22.
AMA Esen H, Kapıcıoğlu A, Özsolak O. Cooled and uncooled photovoltaic panels modeling by using genetic expression programming. ijiea, IJIEA. Haziran 2017;1(1):13-22.
Chicago Esen, Hikmet, Abdullah Kapıcıoğlu, ve Onur Özsolak. “Cooled and Uncooled Photovoltaic Panels Modeling by Using Genetic Expression Programming”. International Journal of Innovative Engineering Applications 1, sy. 1 (Haziran 2017): 13-22.
EndNote Esen H, Kapıcıoğlu A, Özsolak O (01 Haziran 2017) Cooled and uncooled photovoltaic panels modeling by using genetic expression programming. International Journal of Innovative Engineering Applications 1 1 13–22.
IEEE H. Esen, A. Kapıcıoğlu, ve O. Özsolak, “Cooled and uncooled photovoltaic panels modeling by using genetic expression programming”, ijiea, IJIEA, c. 1, sy. 1, ss. 13–22, 2017.
ISNAD Esen, Hikmet vd. “Cooled and Uncooled Photovoltaic Panels Modeling by Using Genetic Expression Programming”. International Journal of Innovative Engineering Applications 1/1 (Haziran 2017), 13-22.
JAMA Esen H, Kapıcıoğlu A, Özsolak O. Cooled and uncooled photovoltaic panels modeling by using genetic expression programming. ijiea, IJIEA. 2017;1:13–22.
MLA Esen, Hikmet vd. “Cooled and Uncooled Photovoltaic Panels Modeling by Using Genetic Expression Programming”. International Journal of Innovative Engineering Applications, c. 1, sy. 1, 2017, ss. 13-22.
Vancouver Esen H, Kapıcıoğlu A, Özsolak O. Cooled and uncooled photovoltaic panels modeling by using genetic expression programming. ijiea, IJIEA. 2017;1(1):13-22.