تجزیه‌وتحلیل و بهینه‌سازی مصرف انرژی و انتشار گازهای گلخانه‌ای در تولید نیشکر با استفاده از تحلیل پوششی داده‌ها

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه مهندسی ماشین های کشاورزی دانشکده مهندسی و فناوری کشاورزی، پردیس کشاورزی و منابع طبیعی دانشگاه تهران، کرج، ایران

2 دانشیار، گروه مهندسی ماشین‌های کشاورزی، دانشکده مهندسی و فناوری کشاورزی، پردیس کشاورزی و منابع طبیعی دانشگاه تهران، کرج، ایران

چکیده

این مطالعه به‌منظور تجزیه‌وتحلیل و بهینه‌سازی انرژی مصرفی و انتشار گازهای گلخانه‌ای برای تولید نیشکر در مزارع پلنت و راتون با استفاده از تحلیل پوششی داده‌ها در استان خوزستان انجام گرفت. اطلاعات لازم برای انجام این مطالعه، مربوط به  سال‌های زراعی 95-1390 می‌باشد که از طریق مصاحبه حضوری و تکمیل پرسش‌نامه از کارکنان شرکت کشت و صنعت نیشکر امام خمینی (ره) جمع‌آوری شدند. بر اساس دو مدل بازگشت به مقیاس ثابت و بازگشت به مقیاس متغیر، مقادیر متوسط کارایی فنی، کارایی فنی خالص و کارایی مقیاس به ترتیب برابر با 91/0، 98/0 و 93/0 در مزارع پلنت و 95/0، 98/0و 96/0 در مزارع راتون محاسبه شدند. در حالت مصرف بهینه‌، صرفه‌جویی در کل انرژی (انرژی ذخیره شده) 1/14763 (معادل 52/8%) و 17/3205 (معادل 61/2%) مگاژول بر هکتار به ترتیب در مزارع پلنت و راتون محاسبه شد. از کل انرژی ذخیره‌شده در مزارع پلنت، بیشترین سهم ذخیره انرژی مربوط به الکتریسیته، آب آبیاری و سوخت دیزل به ترتیب با 03/77%، 64/7% و 58/5% تعلق داشته­ است. همچنین از کل انرژی ذخیره‌شده در مزارع راتون، الکتریسیته، آب آبیاری و سوخت دیزل به ترتیب با 57/51%،51/26% و2/13% دارای بالاترین درصد ذخیره نسبت به حالت قبل از بهینه‌ نهاده‌های مصرفی در شرکت بودند. میزان کل انتشار گازهای گلخانه‌ای در یک هکتار در مزارع پلنت و راتون به ترتیب برابر با 25/5825 و 76/4310 کیلوگرم معادل کربن دی‌اکسید بوده و در حالت بهینه 13/5192 و 75/4200 محاسبه شد. در مزارع پلنت و راتون در حالت بهینه به میزان  12/633 و 01/110 کیلوگرم معادل کربن دی‌اکسید کاهش یافت.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Analysis and Optimization of Energy Consumption and Greenhouse Gas Emissions in Sugarcane Production Using Data Envelopment Analysis

نویسندگان [English]

  • Ali Kaab 1
  • Mohammad Sharifi 2
  • Hossein Mobli 1
1 Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering & Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
2 Associate Professor, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering & Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran
چکیده [English]

This study was conducted to analyze and optimize the energy consumption and greenhouse gas emissions for sugarcane production in planted and ratoon farms using data envelopment analysis in Khuzestan Province. Information needed for this study, related to the years of 2011-2016, were interviewed by company staff and filled out questionnaire from Imam Khomeini Sugarcane Agro-Industrial Company. Based on two models of constant return to scale and variable return to scale, the average values of technical efficiency, pure technical efficiency and scale efficiency were calculated as 0.91, 0.98 and 0.93 in planted farms and 0.95, 0.98 and 0.96 in ratoon farms, respectively. In optimal consumption mode, total energy savings of 14763.1 (equivalent to 8.52%) and 3205.17 (equivalent to 2.61%) MJ ha-1 was calculated planted and ratoon farms, respectively. Of the total energy stored in plant farms, the largest share storage of electricity, water for irrigation and diesel fuel belonged to 77.03%, 7.64% and 5.58%, respectively. Also, electricity, water for irrigation and diesel fuel were 51.57%, 26.51% and 13.2%, respectively, also of the total energy stored in the ratoon farms, with the highest percentage of storage compared to conventional consumption. The amount of total greenhouse gas emissions were 5825.25 and 4310.76 kgCO2eq ha-1 in planted and ratoon farms, respectively and optimal mode 5192.13 and 4200.75 kgCO2eq ha-1 respectively. The amount of was reduced to 633.12 and 110.1m kgCO2eq, in planted and ratoon farms, respectively.

کلیدواژه‌ها [English]

  • Energy
  • greenhouse gas emissions
  • Sugarcane
  • Optimization
  • Data Envelopment Analysis
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