Evaluation of Relative Efficiency Using Renewable Energy by Data Envelopment Analysis: Turkey and Seven European Countries Example


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Aydin Yenioglu Z., ATEŞ V.

JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI, cilt.22, sa.4, ss.863-869, 2019 (ESCI İndekslerine Giren Dergi) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 22 Konu: 4
  • Basım Tarihi: 2019
  • Doi Numarası: 10.2339/politeknik.446110
  • Dergi Adı: JOURNAL OF POLYTECHNIC-POLITEKNIK DERGISI
  • Sayfa Sayıları: ss.863-869

Özet

The use of renewable energy sources for Turkey and other countries of the world shows an increasing trend in recent years. In order to make progress in the field of renewable energy, countries deviate from studies, regulations and investments. In this study, to examine the impact of those studies, technical and scale of events in Turkey and in seven European countries that achieved their 2020 renewable targets, was calculated with 2015 and 2016 data by Data envelopment analysis (DEA). European countries, which are among the decision-making units, have increased the renewable energy consumption to 20% and energy efficiency to 20% by 2020. Turkey's aim is to make 30% of total energy production from renewable energy production by 2023, to partially convert renewable energy production into local resources with support for the sector by 2020. General Algebraic Modeling System (GAMS) was used in the solution of DEA models. In order to show technical efficiency and generally technical effectiveness measurement and consistency between models, Charnes-Cooper-Rhodes (CCR) input-output and Banker, Charnes and Cooper (BCC) input-output models were studied and the technical and scale activities were measured. The data sets covering the years 2015 and 2016 were compiled from the annual bulletins published by the World Bank and British Petroleum (IP), and annual renewable energy investments, primary energy consumption and renewable energy consumption were used as inputs, the gross domestic product was used as output in the model. The correlation coefficients between the variables used in the models and the efficiency results of these years were calculated by taking the averages of the data sets of 2015 and 2016. In conclusion, compared with other decision-making units, Turkey could not be effective numerically according to renewable energy investment, consumption and GDP in 2015 and 2016.