Research Article
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Year 2019, , 106 - 109, 01.07.2019
https://doi.org/10.31127/tuje.466953

Abstract

References

  • Ak. C., Yildiz A. (2018) “A novel closed-form expression obtained by using differential evolution algorithm to calculate pull-in voltage of mems cantilever.” Journal of microelectromechanical systems, Vol. 27, No. 3, pp. 392-397.
  • Almorox, J. (2011). ‘‘Estimating global solar radiation from common meteorological data in Aranjuez, Spain.’’ Turkish Journal of Physics, Vol. 35, pp. 53-64.
  • Arslan, G., Bayhan, B. (2016). “Solar energy potential in Mersin and a Simple model to predict daily solar radiation.” Mugla Journal of Science and Technology, Special Issue, pp. 1-4.
  • Bayhan B., Arslan G. (2018) “Applicability of solar and wind energy technologies for a non-residential building.” Turkish Journal of Engineering, Vol. 2, No.1, pp. 27-34.
  • Bulut, H., Buyukalaca. O. (2007). “Simple model for the generation of daily global solar-radiation data in Turkey.” Applied Energy, Vol. 85, No. 5, pp. 477-491.
  • Ecevit A., Akinoglu B. G., Aksoy B. (2002) “Generation of a typical meteorological year using sunshine-duration data.” Energy, Vol. 27, No: 10, pp. 947-954.
  • Hepbaslı A., Ulgen K. (2002) “Prediction of solar-radiation parameters through the clearness index for Izmir, Turkey.” Energy Source, Vol. 24, No. 8, pp. 773-785.
  • Kaygusuz K. (1999) “The comparison of measured and calculated solar radiations in Trabzon, Turkey.” Energy Source, Vol. 21, No. 4, pp. 347-353.
  • Kaygusuz K., Ayhan T. (1999) “Analysis of solar radiation data for Trabzon, Turkey.” Energy Convers Manage, Vol. 40, No. 5, pp. 545-556.
  • Knight K. M., Klein S. A., Duffie J. A. (1991) “A methodology for the synthesis of hourly weather data.” Sol Energy, Vol. 46, No. 2, pp.109-120.
  • Ogulata R. T., Ogulata S. N. (2002) “Solar radiation on Adana, Turkey.” Appl Energy, Vol. 71, No. 4, pp. 351-358.
  • Storn R., Price K. (1997) “Differential evolution-A simple and efficient heuristic for global optimization over continuous spaces.” J. Global Optim., Vol. 11, no. 4, pp. 341-359.
  • Togrul I.T., Onat E. (1999) “A study for estimating solar radiation in Elazıg using geographical and meteorological data.” Energy Convers Manage, Vol. 40, No.14, pp. 1577-1584.
  • Togrul I. T., Onat E. (2002) “Global solar-radiation over Turkey: comparison of predicted and measured data.” Renew Energy, Vol.25, No. 1, pp. 55-67.
  • Ulgen K., Hepbaslı A. (2002) “Comparison of solar-radiation correlations for _Izmir, Turkey.” Int J Energy Res, Vol. 26, No. 5, pp. 413-430.

PREDICTING THE ENERGY PRODUCTION OF A ROOFTOP PV PLANT BY USING DIFFERENTIAL EVOLUTION ALGORITHM

Year 2019, , 106 - 109, 01.07.2019
https://doi.org/10.31127/tuje.466953

Abstract

In this study, a simple and plain closed-form mathematical expression has been obtained to precisely estimate the monthly production of a rooftop photovoltaic (PV) plant installed in Adana, Turkey. The proposed model is developed by utilizing the Differential Evolution (DE) optimization algorithm based on the PV plant’s 5-year (August 2013 – July 2018) real measurement data. The PV plant is a grid-connected rooftop solar PV system located at Kıvanç Textile in Adana, Turkey. The PV system is equipped with an online monitoring system that provides real time data. The study shows the actual energy production is 730 MWh/year on average for 5 years. In order to test the robustness and precision of the present model, it has been compared with the long-term real measurement data of the PV system. The key benefit of the model is giving a convincing prediction of the future production of the PV panel in a simple way. It also does not require any further information other than time. Average percentage error was reached as small as 7.4% for 5-year data.

References

  • Ak. C., Yildiz A. (2018) “A novel closed-form expression obtained by using differential evolution algorithm to calculate pull-in voltage of mems cantilever.” Journal of microelectromechanical systems, Vol. 27, No. 3, pp. 392-397.
  • Almorox, J. (2011). ‘‘Estimating global solar radiation from common meteorological data in Aranjuez, Spain.’’ Turkish Journal of Physics, Vol. 35, pp. 53-64.
  • Arslan, G., Bayhan, B. (2016). “Solar energy potential in Mersin and a Simple model to predict daily solar radiation.” Mugla Journal of Science and Technology, Special Issue, pp. 1-4.
  • Bayhan B., Arslan G. (2018) “Applicability of solar and wind energy technologies for a non-residential building.” Turkish Journal of Engineering, Vol. 2, No.1, pp. 27-34.
  • Bulut, H., Buyukalaca. O. (2007). “Simple model for the generation of daily global solar-radiation data in Turkey.” Applied Energy, Vol. 85, No. 5, pp. 477-491.
  • Ecevit A., Akinoglu B. G., Aksoy B. (2002) “Generation of a typical meteorological year using sunshine-duration data.” Energy, Vol. 27, No: 10, pp. 947-954.
  • Hepbaslı A., Ulgen K. (2002) “Prediction of solar-radiation parameters through the clearness index for Izmir, Turkey.” Energy Source, Vol. 24, No. 8, pp. 773-785.
  • Kaygusuz K. (1999) “The comparison of measured and calculated solar radiations in Trabzon, Turkey.” Energy Source, Vol. 21, No. 4, pp. 347-353.
  • Kaygusuz K., Ayhan T. (1999) “Analysis of solar radiation data for Trabzon, Turkey.” Energy Convers Manage, Vol. 40, No. 5, pp. 545-556.
  • Knight K. M., Klein S. A., Duffie J. A. (1991) “A methodology for the synthesis of hourly weather data.” Sol Energy, Vol. 46, No. 2, pp.109-120.
  • Ogulata R. T., Ogulata S. N. (2002) “Solar radiation on Adana, Turkey.” Appl Energy, Vol. 71, No. 4, pp. 351-358.
  • Storn R., Price K. (1997) “Differential evolution-A simple and efficient heuristic for global optimization over continuous spaces.” J. Global Optim., Vol. 11, no. 4, pp. 341-359.
  • Togrul I.T., Onat E. (1999) “A study for estimating solar radiation in Elazıg using geographical and meteorological data.” Energy Convers Manage, Vol. 40, No.14, pp. 1577-1584.
  • Togrul I. T., Onat E. (2002) “Global solar-radiation over Turkey: comparison of predicted and measured data.” Renew Energy, Vol.25, No. 1, pp. 55-67.
  • Ulgen K., Hepbaslı A. (2002) “Comparison of solar-radiation correlations for _Izmir, Turkey.” Int J Energy Res, Vol. 26, No. 5, pp. 413-430.
There are 15 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Ali Yıldız 0000-0003-3904-6017

Publication Date July 1, 2019
Published in Issue Year 2019

Cite

APA Yıldız, A. (2019). PREDICTING THE ENERGY PRODUCTION OF A ROOFTOP PV PLANT BY USING DIFFERENTIAL EVOLUTION ALGORITHM. Turkish Journal of Engineering, 3(3), 106-109. https://doi.org/10.31127/tuje.466953
AMA Yıldız A. PREDICTING THE ENERGY PRODUCTION OF A ROOFTOP PV PLANT BY USING DIFFERENTIAL EVOLUTION ALGORITHM. TUJE. July 2019;3(3):106-109. doi:10.31127/tuje.466953
Chicago Yıldız, Ali. “PREDICTING THE ENERGY PRODUCTION OF A ROOFTOP PV PLANT BY USING DIFFERENTIAL EVOLUTION ALGORITHM”. Turkish Journal of Engineering 3, no. 3 (July 2019): 106-9. https://doi.org/10.31127/tuje.466953.
EndNote Yıldız A (July 1, 2019) PREDICTING THE ENERGY PRODUCTION OF A ROOFTOP PV PLANT BY USING DIFFERENTIAL EVOLUTION ALGORITHM. Turkish Journal of Engineering 3 3 106–109.
IEEE A. Yıldız, “PREDICTING THE ENERGY PRODUCTION OF A ROOFTOP PV PLANT BY USING DIFFERENTIAL EVOLUTION ALGORITHM”, TUJE, vol. 3, no. 3, pp. 106–109, 2019, doi: 10.31127/tuje.466953.
ISNAD Yıldız, Ali. “PREDICTING THE ENERGY PRODUCTION OF A ROOFTOP PV PLANT BY USING DIFFERENTIAL EVOLUTION ALGORITHM”. Turkish Journal of Engineering 3/3 (July 2019), 106-109. https://doi.org/10.31127/tuje.466953.
JAMA Yıldız A. PREDICTING THE ENERGY PRODUCTION OF A ROOFTOP PV PLANT BY USING DIFFERENTIAL EVOLUTION ALGORITHM. TUJE. 2019;3:106–109.
MLA Yıldız, Ali. “PREDICTING THE ENERGY PRODUCTION OF A ROOFTOP PV PLANT BY USING DIFFERENTIAL EVOLUTION ALGORITHM”. Turkish Journal of Engineering, vol. 3, no. 3, 2019, pp. 106-9, doi:10.31127/tuje.466953.
Vancouver Yıldız A. PREDICTING THE ENERGY PRODUCTION OF A ROOFTOP PV PLANT BY USING DIFFERENTIAL EVOLUTION ALGORITHM. TUJE. 2019;3(3):106-9.
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