فصلنامه علمی کارافن

فصلنامه علمی کارافن

ارزیابی و بهینه‌سازی مصرف انرژی و نشر گازهای گلخانه ای تولید چغندرقند با روش تحلیل پوششی داده‌ها

نوع مقاله : مقاله پژوهشی (کاربردی)

نویسندگان
1 دانشجوی کارشناسی ارشد، گروه مهندسی مکانیک بیوسیستم، دانشکده کشاورزی دانشگاه تبریز، تبریز، ایران.
2 هیات علمی گروه مهندسی مکانیک بیوسیستم، دانشکده کشاورزی، دانشگاه تبریز، تبریز، ایران.
3 عضو هیئت علمی، گروه مهندسی کشاورزی، دانشگاه فنی و حرفه‌ای، تهران، ایران.
چکیده
بخش عمده سود حاصل از تولید محصولات کشاورزی صرف هزینه‌های انرژی مصرفی نهاده‌ها (شامل ماشین‌آلات، آبیاری، کود و ...) می‌شود. در این تحقیق تحلیل انرژی مصرفی، نشر گازهای گلخانه‌ای و بهینه سازی آن‌ها از روش‌های تحلیل پوششی داده‌ها (DEA) در تولید محصول چغندرقند از تولیدات غالب شهرستان نقده در استان آذربایجان غربی بررسی شد. در این تحقیق واحدهای کارا و ناکارا مشخص شدند. نتایج حاصل از پژوهش نشان داد که میزان کل انرژی نهاده در تولید محصولات چغندرقند 3748/41 مگاژول بر هکتار می‌باشد. بیشترین میزان مصرف نهاده‌ها در چغندرقند، نهاده سوخت با 38/81 % و کودهای شیمیایی با 33/49 % است. همچنین انتشار گازهای گلخانه‌ای در تولید محصولات چغندرقند 1319 کیلوگرم بر هکتار محاسبه شد. سوخت پر نشرترین نهاده به میزان 54% در چغندرقند را به خود اختصاص داد. بهره‌وری انرژی نیز برابر 1/83 بدست آمد. نتایج بهینه‌سازی مصرف انرژی و نشر آلایندگی با استفاده از تحلیل پوششی داده‌ها نشان داد که 4/69 % انرژی کل چغندرقند در شهرستان نقده قابلیت ذخیره شدن را دارند. همچنین تحلیل پوششی داده‌ها باعث کاهش گازهای گلخانه‌ای محصول چغندرقند به میزان 246/25 کیلوگرم کربن دی‌اکسید بر هکتار شد.
کلیدواژه‌ها
موضوعات

عنوان مقاله English

Evaluation and Optimization of Energy Consumption and Greenhouse Gas Emissions of Sugar Beet Production with the Method of Data Envelopment Analysis

نویسندگان English

Ghorban Soleymani 1
Reza Abdi 2
Mani Ghanbari 3
Rasoul Loghmanpour zarini 3
1 M.Sc. Student, Department of Mechanical Engineering of Biosystems, Tabriz University, Tabriz, Iran.
2 Assistant Professor, Department of Mechanical Engineering of Biosystems, Tabriz University, Tabriz, Iran.
3 Faculty Member, Department of Agricultural Engineering, Technical and Vocational University, Tehran, Iran.
چکیده English

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.

کلیدواژه‌ها English

Energy Consumption
Greenhouse Gas Emissions
Sugar Beet
Data envelopment Analysis
[1] Pishgar-Komleh, S. H., Ghahderijani, M., & Sefeedpari, P. (2012). Energy consumption and CO2 emissions analysis of potato production based on different farm size levels in Iran. Journal of Cleaner Production, 33, 183-191. https://doi.org/10.1016/j.jclepr o.2012.04.008
[2] Loghmanpour Zarini, R., & Nabipour Afrouzi, H. (2020). Estimation of Energy Balance and Greenhouse Gas Emissions in Dairy Farms (Case study: Qazvin Province). Karafan Quarterly Scientific Journal, 17(2), 13-21. https://doi.org/10.48301/kssa.2020.119204
[3] Mousavi-Avval, S. H., Rafiee, S., Jafari, A., & Mohammadi, A. (2011). Energy flow modeling and sensitivity analysis of inputs for canola production in Iran. Journal of Cleaner Production, 19(13), 1464-1470. https://doi.org/10.1016/j.jclepro.2011.04.013
[4] Khoshnevisan, B., Rafiee, S., Omid, M., & Mousazadeh, H. (2013). Applying data envelopment analysis approach to improve energy efficiency and reduce GHG (greenhouse gas) emission of wheat production. Energy, 58(3), 588-593. https://doi.org/10.1016/j.ene rgy.2013.06.030
[5] Tzilivakis, J., Lewis, K. A., & Williamson, A. R. (2005). A prototype framework for assessing risks to soil functions. Environmental Impact Assessment Review, 25(2), 181-195. h ttps://doi.org/10.1016/j.eiar.2004.02.003
[6] Zangeneh, M., Omid, M., & Akram, A. (2010). Assessment of agricultural mechanization status of potato production by means of artificial neural network model. Australian Journal of Crop Science, 4(5), 372-377. https://doi.org/10.3316/INFORMIT.41475 2288850294
[7] Erdal, G., Esengün, K., Erdal, H., & Gündüz, O. (2007). Energy use and economical analysis of sugar beet production in Tokat province of Turkey. Energy, 32(1), 35-41. https://d oi.org/10.1016/j.energy.2006.01.007
[8] Nabavi-Pelesaraei, A., Hosseinzadeh-Bandbafha, H., Qasemi-Kordkheili, P., Kouchaki-Penchah, H., & Riahi-Dorcheh, F. (2016). Applying optimization techniques to improve of energy efficiency and GHG (greenhouse gas) emissions of wheat production. Energy, 103, 672-678. https://doi.org/10.1016/j.energy.2016.03.003
[9] Patil, S., Mishra, P., Loganandhan, N., Ramesha, M., & Math, S. (2014). Energy, economics, and water use efficiency of chickpea (Cicer arietinum L.) cultivars in Vertisols of semi-arid tropics, India. Current Science, 107(4), 656-664. https://www.jstor.org/stable/2 4103539
[10] Shamshirband, S., Khoshnevisan, B., Yousefi, M., Bolandnazar, E., Anuar, N. B., Abdul Wahab, A. W., & Khan, S. U. R. (2015). A multi-objective evolutionary algorithm for energy management of agricultural systems—A case study in Iran. Renewable and Sustainable Energy Reviews, 44, 457-465. https://doi.org/10.1016/j.rser.2014.1 2.038
[11] Azarpour, E., Moraditochaee, M., & Bozorgi, H. R. (2012). Evaluation energy balance and energy indices of peanut production in north of Iran. African Journal of Agricultural Research, 7(16), 2569-2574. https://doi.org/10.5897/AJAR11.1897
[12] Reineke, H., Stockfisch, N., & Märländer, B. (2013). Analysing the energy balances of sugar beet cultivation in commercial farms in Germany. European Journal of Agronomy, 45, 27-38. https://doi.org/10.1016/j.eja.2012.10.004
[13] Taki, M., Ajabshirchi, Y., Abdi, R., & Akbarpour, M. (2012). Analysis of Energy Efficiency for Greenhouse Cucumber Production Using Data Envelopment Analysis (DEA) Technique; Case Study: Shahreza Township. Journal of Agricultural Machinery, 2(1), 28-37. https://doi.org/10.22067/jam.v2i1.14291
[14] Mostashari-Rad, F., Nabavi-Pelesaraei, A., Soheilifard, F., Hosseini-Fashami, F., & Chau, K-W. (2019). Energy optimization and greenhouse gas emissions mitigation for agricultural and horticultural systems in Northern Iran. Energy, 186, 115845. htt ps://doi.org/10.1016/j.energy.2019.07.175
[15] Zaki Dizaji, H., Haroni, S., Sheikhdavoodi, M. J., Safieddin Ardebili, S. M., González Alriols, M., & Kiani, M. K. D. (2021). An investigation on the environmental impacts and energy efficiency of biogas and bioethanol production from sugarcane and sugar beet molasses: A case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-15. https://doi.org/10.1080/15567036.2021.1898493
[16] Elhami, B., Akram, A., & Khanali, M. (2017). Optimization of energy consumption and mitigation of greenhouses gas emissions of irrigated lentil production using data envelopment analysis. Iranian Journal of Biosystems Engineering, 47(4), 701-710. https://doi.org/10.22059/ijbse.2017.60264
[17] ShirvaniBoroujeni, M., Zaki Dizaji, H., & Soleimani, M. (2020). Investigating environmental effects and energy consumption in sugar beet production and predicting product yield using ANN and ANFIS models in Chaharmahal and Bakhtiari province. Journal of Researches in Mechanics of Agricultural Machinery, 9(2), 107-118. https://jrmam.s ku.ac.ir/article_10148.html?lang=en
[18] Babaeian, M., Tavassoli, A., & Salehi, M. H. (2021). Quantification energy use pattern and greenhouse gas emissions in an agroecosystem (Case study: Farms of sugar beet in Hossein abad village of Shirvan city). Rural Development Strategies, 8(2), 201-212. https://doi.org/10.22048/rdsj.2021.280684.1930
[19] Mobtaker, H. G., Keyhani, A., Mohammadi, A., Rafiee, S., & Akram, A. (2010). Sensitivity analysis of energy inputs for barley production in Hamedan Province of Iran. Agriculture, Ecosystems & Environment, 137(3), 367-372. https://doi.org/10.1016/j.agee.2010.0 3.011
[20] Nabavi-Pelesaraei, A., Abdi, R., Rafiee, S., & Mobtaker, H. G. (2014). Optimization of energy required and greenhouse gas emissions analysis for orange producers using data envelopment analysis approach. Journal of Cleaner Production, 65, 311-317. https:/ /doi.org/10.1016/j.jclepro.2013.08.019
[21] Zarini, R. L., Yaghoubi, H., & Akram, A. (2013). Energy use in citrus production of Mazandaran province in Iran. African Crop Science Journal, 21(1), 61-65. https://www.ajol.info/ index.php/acsj/article/view/86109
[22] Lal, R. (2004). Carbon emission from farm operations. Environment International, 30(7), 981-990. https://doi.org/10.1016/j.envint.2004.03.005
[23] Nabavi Pelesaraei, A., Shaker Koohi, S., & Bagher Dehpour, M. (2013). Modeling and Optimization of Energy Inputs and Greenhouse Gas Emissions for Eggplant Production Using Artificial Neural Network and Multi-Objective Genetic Algorithm. International Journal of Advanced Biological and Biomedical Research, 1(11), 1478-1489. https:/ /www.ijabbr.com/article_7973.html
[24] Pishgar-Komleh, S. H., Sefeedpari, P., & Rafiee, S. (2011). Energy and economic analysis of rice production under different farm levels in Guilan province of Iran. Energy, 36(10), 5824-5831. https://doi.org/10.1016/j.energy.2011.08.044
[25] Ghahderijani, M., Pishgar-Komleh, S., Keyhani, A., & Sefeedpari, P. (2013). Energy analysis and life cycle assessment of wheat production in Iran. African Journal of Agricultural Research, 8(18), 1929-1939. https://doi.org/10.5897/AJAR11.1197
[26] Ghanbari, M., & Dehghani Soufi, M. (2022). Determination of Physical and Mechanical Properties of Lunar Cabbage. Karafan Quarterly Scientific Journal, 18(4), 133-144. https://doi.org/10.48301/kssa.2021.257384.1275
[27] Mousavi-Avval, S. H., Rafiee, S., Jafari, A., & Mohammadi, A. (2011). Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach. Applied Energy, 88(11), 3765-3772. https://doi.org/10.1016/j.apenergy.2 011.04.021
 
دوره 20، شماره 1 - شماره پیاپی 61
فنی و مهندسی
بهار 1402
صفحه 131-150

  • تاریخ دریافت 18 اسفند 1401
  • تاریخ بازنگری 29 فروردین 1402
  • تاریخ پذیرش 02 خرداد 1402