Araştırma Makalesi
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Yıl 2019, , 75 - 83, 31.12.2019
https://doi.org/10.18100/ijamec.653371

Öz

Kaynakça

  • [1] Chamber of Electrical Engineers, Elektrik Mühendisler Odası, http://www.emo.org.tr/genel/bizden_detay.php?kod=8 8369. [Visit Date: 10 December 2018].
  • [2] Energy and Natural Sources Ministry homepage on Internet. http://enerji.gov.tr/Resources/Sites/1/Pages/Sayi_15/mobile/index.html#p=3 [Visit Date: 16 December 2018].
  • [3] Republic of Turkey Ministry of Energy and Natural Resources, http://www.enerji.gov.tr/tr-TR/Sayfalar/Gunes, [Visit Date:10 December 2018.]
  • [4] Kandasamy, P. Prabu , K. Niruba, Solar potential assessment using PVSYST software, International Conference on Green Computing, Communication and Conservation of Energy (ICGCE) 2013 International Conference, , 667-672, 12-14 December 2013, Chennai, India.
  • [5] Subhadeep Bhattacharjee, Anirudh Nath, Saurabh Bhowmik, Mrinmoy, Performance prediction of 60 kWp PV power plant in an educational institute, 2013.
  • [6] Sauer, K.J., T. Roessler, and C.W. Hansen, Modeling the Irradiance and Temperature Dependence of Photovoltaic Modules in PVsyst. Photovoltaics, IEEE Journal of, 5(1): p. 152-158, 2015.
  • [7] Clifford Hansen, Estimating Parameters for the PVsyst Version 6 Photovoltaic Module Performance Model, 2015.
  • [8] Karki, P., B. Adhikary and K. Sherpa, 2012. Comparative study of grid-tied photovoltaic (PV) system in Kathmandu and Berlin using PVsyst. IEEE ICSET 2012 IEEE Third International Conference on (pp. 196-199), 2012.
  • [9] Cem Haydaroğlu, Bilal Gümüş, Dicle Üniversitesi Güneş Enerjisi Santralinin Pvsyst ile Simülasyonu Ve Performans Parametrelerinin Değerlendirilmesi, Dicle Üniversitesi Müh. Fakültesi, Cilt:7 Sayı 3, Eylül 2016.
  • [10] Axaopoulos, P. J.,Fylladitakis, E. D., Gkarakis, K. 2014. Accuracyanalysis of software for the estimation and planning of photovoltaic installations. International Journal of Energy and Environmental Engineering, 5(1), 1, 2014.
  • [11] André Mermoud, Frankfurt, Germany, Optimization Of Row-Arrangement In PvSystems, Shading Loss Evaluations According To Module Positioning And Connexions, 27th European Photovoltaic Solar Energy Conference – 24-28 September 2012.
  • [12] André Mermoud, Thibault Lejeune, Performance Assessment of A Simulation Model For Pv Modules Of Any Available Technology, 25th European Photovoltaic Solar Energy Conference, 6-10 September 2010, Valencia, Spain.
  • [13] Shahzad Ahsan, 2016 Kashif Javed, Ankur Singh Rana,Mohammad Zeeshan, Design and cost analysis of 1 kW photovoltaic system based on actualperformance in Indian scenario, Science Direct, Volume 8, September 2016, pp. 642-644, 2016
  • [14] Mutlu Boztepe, Fotovoltaik Güç Sistemlerinde Verimliliği Etkileyen Parametreler, Elektrik Mühendisleri Odasi, http://www.emo.org.tr/ekler/65eb10e64749410_ek.pdf.
  • [15] R. Eke ve A. Şentürk, Performance comparison of a double-axis sun tracking versus fixed PV System, Solar Energy, no. 86, pp. 2665-2672, 2012.
  • [16] Seyed Hossein Madaeni and Ramteen Sioshansi, Paul Denholm, Comparison of Capacity Value Methods for Photovoltaics in the Western United States, Technical Report, http://www.nrel.gov/docs/fy12osti/54704.pdf
  • [17] Aste, N., Del Pero, C. & Leonforte, F., (2013). The first installation under the Italian PV Rooftop Programme: A performance analysis referred to 11 years of operation. 4th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, pp.628–633, ICCEP 2013.
  • [18] Pvsyst, www.pvsyst.com/Help [Visit Date: 14 November 2018]
  • [19] Najibhamisu Umar1, Birinchi Bora, Chandan Banerjee, B. S. Panwar, 2018 International Journal of Engineering Science Invention Volume 7 Issue 7 Ver II ,,PP 11-24
  • [20] IEC. Photovoltaic System Performance Monitoring-Guidelines for Measurement Data Exchange and Analysis. IEC Standard 61724. Geneva Switzerland; 1998.
  • [21] E. Kymakis, S. Kalykakis, and T. M. Papazoglou, “Performance analysis of a grid connected photovoltaic park on the island of Crete,” Energy Conversion and Management, vol. 50, pp. 433–438, 2009.
  • [22] K. Attari, A. Elyaakoubi, and A. Asselman, “Performance analysis and investigation of a grid-connected photovoltaic installation in Morocco,” Energy Reports, vol. 2, pp. 261–266, 2016.
  • [23] N. Manoj Kumar, M.Rohit Kumar,P.Ruth Rejoice,M.Mathew, Performance Analysis of 100 kWp grid connected Si-Poly photovoltaic system using PVsyst Simulation Tool,2017, 1st International Conference on Power Engineering,Computing and Control,Peccon-2017.
  • [24] Irfan Jamil, J.Zhao, L.Zhang, R.Jamil, S.F.Rafiqua, Evaluation of Energy Production and Energy Yield Assessment Based on Feasibility, Design, and Execution of 3×50MW Grid-Connected Solar PV Pilot Project in Nooriabad, International Journal of Photoenergy Volume 2017, 18 pages, Article ID 6429581.
  • [25] Rabah Tallab, Ali Malek. Predict system efficiency of 1 MWc photovoltaic power plant interconnected to the distribution network using PVSYST software, 3rd International Renewable and Sustainable Energy Conference (IRSEC), 2015.
  • [26] Ozgür C. Ozerdem,S.Tackie, Samet Biricik, Performance evaluation of Serhatköy (1.2MW) PV power plant, 2015 9th International Conference on electrical and Electronics Engineering (ELECO), 2015.
  • [27] Chong Li. Comparative Performance Analysis of Grid Connected PV Power Systems with Different PV Technologies in the Hot Summer and Cold Winter Zone, International Journal of Photoenergy, 2018.
  • [28] Saritas, Ismail, Ilker Ali Ozkan, and Saadetdin Herdem. "The effects of fuzzy control of magnetic flux on magnetic filter performance and energy consumption, Expert Systems with Applications, pp. 7542-7551, 37.12, 2010.
  • [29] M.Melo Cavalcante, Joao L.de Souza Silva, M. Gradella Villalva, M.Pinto Fonseca Lins, Performance Analysis of Solar Photovoltaic Power Plant, 2019 IEEE PES Innovative Smart Grid Technologies Conference Latin America (ISGT Latin America), 2019.

The Importance of Fixed and Variable Angle in Solar Power Plants Analysis

Yıl 2019, , 75 - 83, 31.12.2019
https://doi.org/10.18100/ijamec.653371

Öz

The need for energy is increasing by the day. Renewable energy sources already have a significant place in electricity production both around the world and also in Turkey and the share of solar energy going higher within the renewable energy sources. Solar energy is extremely easy to use, it is preferable too because it is environmentally friendly-clean energy. Solar energy plant is the energy source of the future, because the production costs of solar plants are lower than other energy sources and the economic difficulties are overcome. To get optimal production, the solar energy plant must make maximum use of the sun. In the designed system, solar panels are provided with both fixed and seasonal variations. The first variations of solar panel systems is are placed at constant 25° angle and the position angle of second variation is shifted from 10° to 30°in summer and winter accordingly. In this study, the performance of 1148 kWp PV plants which is established in Altınekin district of Konya and planned to be connected to the grid was evaluated by PVSYST analysis program. Power generation of the two different systems, specific data and performance value are calculated. Result of the study shows that the seasonal system produced 32.2 MWh more per year than the fixed system. Global irradiation in the seasonal system is 26.4 kWh/m², and the specific yield is concluded to be more than 28 kWh / kWc / year.

Kaynakça

  • [1] Chamber of Electrical Engineers, Elektrik Mühendisler Odası, http://www.emo.org.tr/genel/bizden_detay.php?kod=8 8369. [Visit Date: 10 December 2018].
  • [2] Energy and Natural Sources Ministry homepage on Internet. http://enerji.gov.tr/Resources/Sites/1/Pages/Sayi_15/mobile/index.html#p=3 [Visit Date: 16 December 2018].
  • [3] Republic of Turkey Ministry of Energy and Natural Resources, http://www.enerji.gov.tr/tr-TR/Sayfalar/Gunes, [Visit Date:10 December 2018.]
  • [4] Kandasamy, P. Prabu , K. Niruba, Solar potential assessment using PVSYST software, International Conference on Green Computing, Communication and Conservation of Energy (ICGCE) 2013 International Conference, , 667-672, 12-14 December 2013, Chennai, India.
  • [5] Subhadeep Bhattacharjee, Anirudh Nath, Saurabh Bhowmik, Mrinmoy, Performance prediction of 60 kWp PV power plant in an educational institute, 2013.
  • [6] Sauer, K.J., T. Roessler, and C.W. Hansen, Modeling the Irradiance and Temperature Dependence of Photovoltaic Modules in PVsyst. Photovoltaics, IEEE Journal of, 5(1): p. 152-158, 2015.
  • [7] Clifford Hansen, Estimating Parameters for the PVsyst Version 6 Photovoltaic Module Performance Model, 2015.
  • [8] Karki, P., B. Adhikary and K. Sherpa, 2012. Comparative study of grid-tied photovoltaic (PV) system in Kathmandu and Berlin using PVsyst. IEEE ICSET 2012 IEEE Third International Conference on (pp. 196-199), 2012.
  • [9] Cem Haydaroğlu, Bilal Gümüş, Dicle Üniversitesi Güneş Enerjisi Santralinin Pvsyst ile Simülasyonu Ve Performans Parametrelerinin Değerlendirilmesi, Dicle Üniversitesi Müh. Fakültesi, Cilt:7 Sayı 3, Eylül 2016.
  • [10] Axaopoulos, P. J.,Fylladitakis, E. D., Gkarakis, K. 2014. Accuracyanalysis of software for the estimation and planning of photovoltaic installations. International Journal of Energy and Environmental Engineering, 5(1), 1, 2014.
  • [11] André Mermoud, Frankfurt, Germany, Optimization Of Row-Arrangement In PvSystems, Shading Loss Evaluations According To Module Positioning And Connexions, 27th European Photovoltaic Solar Energy Conference – 24-28 September 2012.
  • [12] André Mermoud, Thibault Lejeune, Performance Assessment of A Simulation Model For Pv Modules Of Any Available Technology, 25th European Photovoltaic Solar Energy Conference, 6-10 September 2010, Valencia, Spain.
  • [13] Shahzad Ahsan, 2016 Kashif Javed, Ankur Singh Rana,Mohammad Zeeshan, Design and cost analysis of 1 kW photovoltaic system based on actualperformance in Indian scenario, Science Direct, Volume 8, September 2016, pp. 642-644, 2016
  • [14] Mutlu Boztepe, Fotovoltaik Güç Sistemlerinde Verimliliği Etkileyen Parametreler, Elektrik Mühendisleri Odasi, http://www.emo.org.tr/ekler/65eb10e64749410_ek.pdf.
  • [15] R. Eke ve A. Şentürk, Performance comparison of a double-axis sun tracking versus fixed PV System, Solar Energy, no. 86, pp. 2665-2672, 2012.
  • [16] Seyed Hossein Madaeni and Ramteen Sioshansi, Paul Denholm, Comparison of Capacity Value Methods for Photovoltaics in the Western United States, Technical Report, http://www.nrel.gov/docs/fy12osti/54704.pdf
  • [17] Aste, N., Del Pero, C. & Leonforte, F., (2013). The first installation under the Italian PV Rooftop Programme: A performance analysis referred to 11 years of operation. 4th International Conference on Clean Electrical Power: Renewable Energy Resources Impact, pp.628–633, ICCEP 2013.
  • [18] Pvsyst, www.pvsyst.com/Help [Visit Date: 14 November 2018]
  • [19] Najibhamisu Umar1, Birinchi Bora, Chandan Banerjee, B. S. Panwar, 2018 International Journal of Engineering Science Invention Volume 7 Issue 7 Ver II ,,PP 11-24
  • [20] IEC. Photovoltaic System Performance Monitoring-Guidelines for Measurement Data Exchange and Analysis. IEC Standard 61724. Geneva Switzerland; 1998.
  • [21] E. Kymakis, S. Kalykakis, and T. M. Papazoglou, “Performance analysis of a grid connected photovoltaic park on the island of Crete,” Energy Conversion and Management, vol. 50, pp. 433–438, 2009.
  • [22] K. Attari, A. Elyaakoubi, and A. Asselman, “Performance analysis and investigation of a grid-connected photovoltaic installation in Morocco,” Energy Reports, vol. 2, pp. 261–266, 2016.
  • [23] N. Manoj Kumar, M.Rohit Kumar,P.Ruth Rejoice,M.Mathew, Performance Analysis of 100 kWp grid connected Si-Poly photovoltaic system using PVsyst Simulation Tool,2017, 1st International Conference on Power Engineering,Computing and Control,Peccon-2017.
  • [24] Irfan Jamil, J.Zhao, L.Zhang, R.Jamil, S.F.Rafiqua, Evaluation of Energy Production and Energy Yield Assessment Based on Feasibility, Design, and Execution of 3×50MW Grid-Connected Solar PV Pilot Project in Nooriabad, International Journal of Photoenergy Volume 2017, 18 pages, Article ID 6429581.
  • [25] Rabah Tallab, Ali Malek. Predict system efficiency of 1 MWc photovoltaic power plant interconnected to the distribution network using PVSYST software, 3rd International Renewable and Sustainable Energy Conference (IRSEC), 2015.
  • [26] Ozgür C. Ozerdem,S.Tackie, Samet Biricik, Performance evaluation of Serhatköy (1.2MW) PV power plant, 2015 9th International Conference on electrical and Electronics Engineering (ELECO), 2015.
  • [27] Chong Li. Comparative Performance Analysis of Grid Connected PV Power Systems with Different PV Technologies in the Hot Summer and Cold Winter Zone, International Journal of Photoenergy, 2018.
  • [28] Saritas, Ismail, Ilker Ali Ozkan, and Saadetdin Herdem. "The effects of fuzzy control of magnetic flux on magnetic filter performance and energy consumption, Expert Systems with Applications, pp. 7542-7551, 37.12, 2010.
  • [29] M.Melo Cavalcante, Joao L.de Souza Silva, M. Gradella Villalva, M.Pinto Fonseca Lins, Performance Analysis of Solar Photovoltaic Power Plant, 2019 IEEE PES Innovative Smart Grid Technologies Conference Latin America (ISGT Latin America), 2019.
Toplam 29 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Article
Yazarlar

Oya Kılcı 0000-0002-7993-9875

Murat Koklu 0000-0002-2737-2360

Yayımlanma Tarihi 31 Aralık 2019
Yayımlandığı Sayı Yıl 2019

Kaynak Göster

APA Kılcı, O., & Koklu, M. (2019). The Importance of Fixed and Variable Angle in Solar Power Plants Analysis. International Journal of Applied Mathematics Electronics and Computers, 7(4), 75-83. https://doi.org/10.18100/ijamec.653371
AMA Kılcı O, Koklu M. The Importance of Fixed and Variable Angle in Solar Power Plants Analysis. International Journal of Applied Mathematics Electronics and Computers. Aralık 2019;7(4):75-83. doi:10.18100/ijamec.653371
Chicago Kılcı, Oya, ve Murat Koklu. “The Importance of Fixed and Variable Angle in Solar Power Plants Analysis”. International Journal of Applied Mathematics Electronics and Computers 7, sy. 4 (Aralık 2019): 75-83. https://doi.org/10.18100/ijamec.653371.
EndNote Kılcı O, Koklu M (01 Aralık 2019) The Importance of Fixed and Variable Angle in Solar Power Plants Analysis. International Journal of Applied Mathematics Electronics and Computers 7 4 75–83.
IEEE O. Kılcı ve M. Koklu, “The Importance of Fixed and Variable Angle in Solar Power Plants Analysis”, International Journal of Applied Mathematics Electronics and Computers, c. 7, sy. 4, ss. 75–83, 2019, doi: 10.18100/ijamec.653371.
ISNAD Kılcı, Oya - Koklu, Murat. “The Importance of Fixed and Variable Angle in Solar Power Plants Analysis”. International Journal of Applied Mathematics Electronics and Computers 7/4 (Aralık 2019), 75-83. https://doi.org/10.18100/ijamec.653371.
JAMA Kılcı O, Koklu M. The Importance of Fixed and Variable Angle in Solar Power Plants Analysis. International Journal of Applied Mathematics Electronics and Computers. 2019;7:75–83.
MLA Kılcı, Oya ve Murat Koklu. “The Importance of Fixed and Variable Angle in Solar Power Plants Analysis”. International Journal of Applied Mathematics Electronics and Computers, c. 7, sy. 4, 2019, ss. 75-83, doi:10.18100/ijamec.653371.
Vancouver Kılcı O, Koklu M. The Importance of Fixed and Variable Angle in Solar Power Plants Analysis. International Journal of Applied Mathematics Electronics and Computers. 2019;7(4):75-83.