Evaluation and optimization of energy consumption and greenhouse gas emissions of sugar beet production with the method of data envelopment analysis

Document Type : Original Article

Authors

1 Department of Biosystems Engineering, University of Tabriz, East Azerbaijan.

2 2. Assistant Professor, Department of Mechanical Engineering of Biosystems, Tabriz University, Tabriz, Iran

3 Department of Agricultural Engineering, Technical and Vocational University, Tehran, Iran

4 Department of Agricultural Engineering, Technical and Vocational University (TVU), Tehran, Iran

10.48301/kssa.2023.388258.2471

Abstract

Most of the profits from the production of agricultural products are spent on energy costs of inputs (including machinery, irrigation, fertilizers, etc.). In this research, energy consumption analysis, emission of greenhouse gases and their optimization from Data Envelopment Analysis (DEA) methods in sugar beet production from the dominant products of Naghadeh city in Azerbaijan Gharbi province were investigated. In this study, efficient and inefficient units were identified. The results showed that the total energy input in the production of sugar beet products is 37548.371 Mj/ha. The highest consumption of inputs in sugar beet is fuel input with 38.81% and chemical fertilizers with 33.49%. Also, the emission of greenhouse gases in the production of sugar beet products was calculated to be 1319 kg/ha. Fuel was the most widely used input at 54% in sugar beet. Energy efficiency was also equal to 1.83. The results of optimization of energy consumption and emission of pollution using data envelopment analysis showed that 4.69% of the total energy of sugar beet in Naghadeh city can be stored. Also, envelopment analysis of the data reduced the greenhouse gases of sugar beet by 246.25 kg of carbon dioxide per hectare.

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Karafan Quarterly Scientific Journal
Volume 20, Issue 1 - Serial Number 61
Technical & Engineering
June 2023

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History

  • Receive Date: 09 March 2023
  • Revise Date: 18 April 2023
  • Accept Date: 23 May 2023

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