Araştırma Makalesi
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Yıl 2019, Cilt: 9 Sayı: 2, 159 - 174, 30.12.2019

Osman Çiçek Mohamed Alageli M. Mıllad Faruk Erken

https://doi.org/10.36222/ejt.593250
Cited By: 2

Öz

Kaynakça

  • [1] Erdal, G., Erdal H. and Esengün K. (2008). The causality between energy consumption and economic growth in Turkey. Energy Policy, 36(10), 3838-3842.
  • [3] Koç, E., Şenel, M.C. (2013). Dünyada ve Türkiye’de Enerji Durumu -The State of Energy in World and Turkey - General Evaluation. Mühendis ve Makina, 54(639), 32-44.
  • [4] Ministry of Energy and Natural Resources (MENR) (2017). Electricity generation-distribution statistics according to types of energy resources, Republic of Turkey: Prime Ministry, Ankara, 2017.
  • [5] Marchal, V., Dellink, van Vuuren, D., Clapp, C., Château, J., Lanzi, E., Magné, B. van Jasper, V. OECD ENVIRONMENTAL OUTLOOK TO 2050, OECD, 2011.
  • [6] IEA, CO2 Emissions from Fuel Combustion, IEA, 2017, INTERNATIONAL ENERGY AGENCY, 2017. Available: https://www.iea.org/publications/freepublications/publication/co2-emissions-from-fuel-combustion----2017-edition---overview.html. [Accessed 24 1 2017].
  • [7] Nguyen K.Q. (2007). Alternatives to grid extension for rural electrification: Decentralized renewable energy technologies in Vietnam. Energy Policy, 35(4), 2579–2589.
  • [8] Özçelik, M . (2017). A Micro Hybrid Wind-Pv Based on Grid Energy System With Enhanced Efficiency. European Journal of Technique (EJT), 7 (2), 109-118.
  • [9] Kabalci, Y., Kabalci E. (2017). Modeling and analysis of a smart grid monitoring system for renewable energy sources. Solar Energy, 153, 262-275.
  • [10] Kozlova, M., Collan, M. (2016). Modeling the effects of the new Russian capacity mechanism on renewable energy investments, Energy Policy, 95, 350-360.
  • [11] Akpinar, E . (2018). Statistical analysis of wind speed distribution based on weibull and rayleigh methods of iskenderun-turkey. European Journal of Technique (EJT), 8 (1), 17-34.
  • [12] Oguz, E , Çimen, H , Oğuz, Y . (2017). Simulation and Power Flow Control Using Switching’s Method of Isolated Wind-Solar Hybrid Power Generation System with Battery Storage. Balkan Journal of Electrical and Computer Engineering, 5 (2), 40-49.
  • [13] Rathore, N. Panwar, N. Renewable energy sources for sustainable development. New Delhi: New India Publishing Agency, 2007.
  • [14] Hosenuzzaman, M., Rahim, N., Selvaraj, J., Hasanuzzaman, M., Malek, A., Nahar, A. (2015). Global prospects, progress, policies, and environmental impact of solar photovoltaic power generation. Renewable and Sustainable Energy Reviews, 41, 284-297.
  • [15] Solangi, K., Islam, M., Saidur, R., Rahim, N., Fayaz, H.(2011). A review on global solar energy policy. Ren Sustain Energy Rev, 15(4), 2149–2163.
  • [16] Ahmed F., Al Amin, A., Hasanuzzaman, M. Saidur, R. (2013). Alternative energy resources in Bangladesh and future prospect. Renew Sustain Energy Rev, 25, 698–707.
  • [17] Selvara, J. Rahim, N.A. (2009). Multilevel Inverter For Grid-Connected PV System Employing Digital PI Controller. IEEE Transactions On Industrial Electronics, 56(1), 149-158.
  • [18] Kaya, D. (2006). Renewable energy policies in Turkey. Renewable and Sustainable Energy Reviews, 10, 152–163.
  • [19] Goetzberger, A. Hoffmann, V. Photovoltaic Solar Energy Generation, Germany: Springer-Verlag Berlin Heidelberg, 2005.
  • [20] Sudeepika, P., Gayaz Khan, G. (2014). Analysis Of Mathematical Model Of PV Cell Module in Matlab/Simulink Environment. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(3), 7823-7829.
  • [21] Luque, A. Hegedus, S. Handbook of Photovoltaic Science and Engineering, England: John Wiley & Sons Ltd, 2003.
  • [22] Sonnenenergie D. G. F. Planning and Installing Photovoltaic Systems: A guide for installers, architects and engineers, Berlin: Earthscan, 2008.
  • [23] Tsai, H.-L., Tu, C.-S., Su Y.-J. (2008). Development of Generalized Photovoltaic Model Using MATLAB/SIMULINK, in Proceedings of the World Congress on Engineering and Computer Science WCECS, San Francisco, USA.
  • [24] Villalva, M., Gazoli, J., Filho, E. (2009). Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Trans Power Electron, 24, 1198–1208.
  • [25] Reddy, N.A., Raju, K.D. (2017). Mathematical Modeling of Soft Switched Single Stage Multistring Inverter with Multi-Rated ETT Photovoltaic Modules. Inter. J. Advance Research, Ideas and Inovations in Tech., 3(1), 489-499.
  • [26] Labed, S., Lorenzo, E. (2004). The impact of solar radiation variability and data discrepancies on the design of PV systems. Renewable Energy, 29(7), 1007-1022.
  • [27] de Brito, M., Sampaio, L., Jr., L., e Melo, G., Canesin, C. (2011). Comparative Analysis of MPPT Techniques for PV Applications, in IEEE, 2011 International Conference on Clean Electrical Power (ICCEP), Ischia, Italy.
  • [28] Gao, Y., Dong, J., Isabella, O., Santbergen, R., Tan, H., Zeman, M., Guoqi, Z. (2019). Modeling and analyses of energy performances of photovoltaic greenhouses with sun-tracking functionality, Applied Energy, 233–234, 424–442.
  • [29] PVGIS. Photovoltaic Geographical Information System - Interactive Maps. European Commission, Joint Research Centre, Institute for Environment and Sustainability Renewable Energies Unit, [Online]. Available: http://re.jrc.ec.europa.eu/pvgis/apps4/pvest.php. [Accessed 12 March 2019].
  • [2] Neetu and Surender (2017). A Review Paper on Residential Grid Connected Solar Photovoltaic System Using Matlab Simulink. International Journal of Advance Research, Ideas and Innovations in Technology, 3(5), 92-96.

ENERGY PREDICTION BASED ON MODELLING AND SIMULATION ANALYSIS OF AN ACTUAL GRID-CONNECTED PHOTOVOLTAIC POWER PLANT IN TURKEY

Yıl 2019, Cilt: 9 Sayı: 2, 159 - 174, 30.12.2019

Osman Çiçek Mohamed Alageli M. Mıllad Faruk Erken

https://doi.org/10.36222/ejt.593250
Cited By: 2

Öz

Turkey has
invested in generating solar power industry to meet the energy demand as well
as saving the national energy resources. The government has also substituted
some of the energy consumption with clean energy sources, especially on-grid PV
power plants. In recent years, a number of incentives are provided to persuade
investors to invest in solar energy sector in Turkey. In this context,
KRMN-SNAPS 1.6 MW PV power plant is installed in Konya Province in the Central
Anatolia region of Turkey. The most important information that have to be known
in advance are the cost and duration of the investment. Therefore, pre-investment
production analysis of the PV power plant is very essential. The performance of
the power plant depends on some parameters for instance temperature, irradiance
and sunshine duration. In this study, solar PV arrays are modelled and the
power plant is simulated based on the above mentioned meteorological
parameters. The simulation results of the PV power plant were compared with the
actual production data. In the simulation, long-term average data on production
of the location were used and it is observed that the simulation results and
the one year's actual production data are compatible with each other.

Anahtar Kelimeler

Renewable energy PV systems on-grid PV power plants energy prediction energy policy

Kaynakça

  • [1] Erdal, G., Erdal H. and Esengün K. (2008). The causality between energy consumption and economic growth in Turkey. Energy Policy, 36(10), 3838-3842.
  • [3] Koç, E., Şenel, M.C. (2013). Dünyada ve Türkiye’de Enerji Durumu -The State of Energy in World and Turkey - General Evaluation. Mühendis ve Makina, 54(639), 32-44.
  • [4] Ministry of Energy and Natural Resources (MENR) (2017). Electricity generation-distribution statistics according to types of energy resources, Republic of Turkey: Prime Ministry, Ankara, 2017.
  • [5] Marchal, V., Dellink, van Vuuren, D., Clapp, C., Château, J., Lanzi, E., Magné, B. van Jasper, V. OECD ENVIRONMENTAL OUTLOOK TO 2050, OECD, 2011.
  • [6] IEA, CO2 Emissions from Fuel Combustion, IEA, 2017, INTERNATIONAL ENERGY AGENCY, 2017. Available: https://www.iea.org/publications/freepublications/publication/co2-emissions-from-fuel-combustion----2017-edition---overview.html. [Accessed 24 1 2017].
  • [7] Nguyen K.Q. (2007). Alternatives to grid extension for rural electrification: Decentralized renewable energy technologies in Vietnam. Energy Policy, 35(4), 2579–2589.
  • [8] Özçelik, M . (2017). A Micro Hybrid Wind-Pv Based on Grid Energy System With Enhanced Efficiency. European Journal of Technique (EJT), 7 (2), 109-118.
  • [9] Kabalci, Y., Kabalci E. (2017). Modeling and analysis of a smart grid monitoring system for renewable energy sources. Solar Energy, 153, 262-275.
  • [10] Kozlova, M., Collan, M. (2016). Modeling the effects of the new Russian capacity mechanism on renewable energy investments, Energy Policy, 95, 350-360.
  • [11] Akpinar, E . (2018). Statistical analysis of wind speed distribution based on weibull and rayleigh methods of iskenderun-turkey. European Journal of Technique (EJT), 8 (1), 17-34.
  • [12] Oguz, E , Çimen, H , Oğuz, Y . (2017). Simulation and Power Flow Control Using Switching’s Method of Isolated Wind-Solar Hybrid Power Generation System with Battery Storage. Balkan Journal of Electrical and Computer Engineering, 5 (2), 40-49.
  • [13] Rathore, N. Panwar, N. Renewable energy sources for sustainable development. New Delhi: New India Publishing Agency, 2007.
  • [14] Hosenuzzaman, M., Rahim, N., Selvaraj, J., Hasanuzzaman, M., Malek, A., Nahar, A. (2015). Global prospects, progress, policies, and environmental impact of solar photovoltaic power generation. Renewable and Sustainable Energy Reviews, 41, 284-297.
  • [15] Solangi, K., Islam, M., Saidur, R., Rahim, N., Fayaz, H.(2011). A review on global solar energy policy. Ren Sustain Energy Rev, 15(4), 2149–2163.
  • [16] Ahmed F., Al Amin, A., Hasanuzzaman, M. Saidur, R. (2013). Alternative energy resources in Bangladesh and future prospect. Renew Sustain Energy Rev, 25, 698–707.
  • [17] Selvara, J. Rahim, N.A. (2009). Multilevel Inverter For Grid-Connected PV System Employing Digital PI Controller. IEEE Transactions On Industrial Electronics, 56(1), 149-158.
  • [18] Kaya, D. (2006). Renewable energy policies in Turkey. Renewable and Sustainable Energy Reviews, 10, 152–163.
  • [19] Goetzberger, A. Hoffmann, V. Photovoltaic Solar Energy Generation, Germany: Springer-Verlag Berlin Heidelberg, 2005.
  • [20] Sudeepika, P., Gayaz Khan, G. (2014). Analysis Of Mathematical Model Of PV Cell Module in Matlab/Simulink Environment. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(3), 7823-7829.
  • [21] Luque, A. Hegedus, S. Handbook of Photovoltaic Science and Engineering, England: John Wiley & Sons Ltd, 2003.
  • [22] Sonnenenergie D. G. F. Planning and Installing Photovoltaic Systems: A guide for installers, architects and engineers, Berlin: Earthscan, 2008.
  • [23] Tsai, H.-L., Tu, C.-S., Su Y.-J. (2008). Development of Generalized Photovoltaic Model Using MATLAB/SIMULINK, in Proceedings of the World Congress on Engineering and Computer Science WCECS, San Francisco, USA.
  • [24] Villalva, M., Gazoli, J., Filho, E. (2009). Comprehensive approach to modeling and simulation of photovoltaic arrays. IEEE Trans Power Electron, 24, 1198–1208.
  • [25] Reddy, N.A., Raju, K.D. (2017). Mathematical Modeling of Soft Switched Single Stage Multistring Inverter with Multi-Rated ETT Photovoltaic Modules. Inter. J. Advance Research, Ideas and Inovations in Tech., 3(1), 489-499.
  • [26] Labed, S., Lorenzo, E. (2004). The impact of solar radiation variability and data discrepancies on the design of PV systems. Renewable Energy, 29(7), 1007-1022.
  • [27] de Brito, M., Sampaio, L., Jr., L., e Melo, G., Canesin, C. (2011). Comparative Analysis of MPPT Techniques for PV Applications, in IEEE, 2011 International Conference on Clean Electrical Power (ICCEP), Ischia, Italy.
  • [28] Gao, Y., Dong, J., Isabella, O., Santbergen, R., Tan, H., Zeman, M., Guoqi, Z. (2019). Modeling and analyses of energy performances of photovoltaic greenhouses with sun-tracking functionality, Applied Energy, 233–234, 424–442.
  • [29] PVGIS. Photovoltaic Geographical Information System - Interactive Maps. European Commission, Joint Research Centre, Institute for Environment and Sustainability Renewable Energies Unit, [Online]. Available: http://re.jrc.ec.europa.eu/pvgis/apps4/pvest.php. [Accessed 12 March 2019].
  • [2] Neetu and Surender (2017). A Review Paper on Residential Grid Connected Solar Photovoltaic System Using Matlab Simulink. International Journal of Advance Research, Ideas and Innovations in Technology, 3(5), 92-96.
Toplam 29 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Elektrik Mühendisliği
Bölüm Araştırma Makalesi
Yazarlar

Osman Çiçek 0000-0002-2765-4165

Mohamed Alageli M. Mıllad Bu kişi benim

Faruk Erken 0000-0003-2048-1203

Yayımlanma Tarihi 30 Aralık 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 9 Sayı: 2

Kaynak Göster

APA Çiçek, O., Mıllad, M. A. M., & Erken, F. (2019). ENERGY PREDICTION BASED ON MODELLING AND SIMULATION ANALYSIS OF AN ACTUAL GRID-CONNECTED PHOTOVOLTAIC POWER PLANT IN TURKEY. European Journal of Technique (EJT), 9(2), 159-174. https://doi.org/10.36222/ejt.593250

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European Journal of Technic
https://doi.org/10.36222/ejt.843027
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