کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8073913 | 1521445 | 2016 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production
ترجمه فارسی عنوان
استفاده از تکنیک های بهینه سازی برای بهبود بهره وری انرژی و انتشار گازهای گلخانه ای تولید گندم
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کلمات کلیدی
تحلیل پوششی داده ها، انرژی، الگوریتم ژنتیک، انتشار گازهای گلخانه ای، گندم،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
چکیده انگلیسی
In this study a non-parametric method of DEA (Data Envelopment Analysis) and MOGA (Multi-Objective Genetic Algorithm) were used to estimate the energy efficiency and greenhouse gas emissions reduction of wheat farmers in Ahvaz county of Iran. Data were collected using a face-to-face questionnaire method from 39 farmers. The results showed that based on constant returns to scale model, 41.02% of wheat farms were efficient, though based on variable returns to scale model it was 53.23%. The average of technical, pure technical and scale efficiency of wheat farms were 0.94, 0.95 and 0.98, respectively. By following the recommendations of this study, 3640.90 MJ haâ1 could be saved (9.13% of total input energy). Moreover, 42 optimal units were found by MOGA. The total energy required and GHG (greenhouse gas) emissions of the best generation of MOGA were about 23105 MJ haâ1 and 340 kgCO2eq. haâ1, respectively. The results revealed that the total energy required of MOGA was less than DEA, significantly. Also, the GHG emissions of present, DEA and MOGA farms were about 903, 837 and 340 kgCO2eq. haâ1, respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 103, 15 May 2016, Pages 672-678
Journal: Energy - Volume 103, 15 May 2016, Pages 672-678
نویسندگان
Ashkan Nabavi-Pelesaraei, Homa Hosseinzadeh-Bandbafha, Peyman Qasemi-Kordkheili, Hamed Kouchaki-Penchah, Farshid Riahi-Dorcheh,