Related Links
Optimization of Energy Consumption and Reduction of Environmental Emissions in Cookie Production using Data Envelopment Analysis and Genetic Algorithm Techniques | ||
| تحقیقات سامانهها و مکانیزاسیون کشاورزی | ||
| Article 10, Volume 20, Issue 72, July 2019, Pages 143-162 PDF (845.76 K) | ||
| Document Type: Original Article | ||
| DOI: 10.22092/erams.2018.115061.1215 | ||
| Authors | ||
| Majid Khanali* 1; Mahdieh Mohammadnia Galeshklamei2; Asadollah Akram3; Homa Hosseinzadeh Bndbafha4 | ||
| 1Associate Professor, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran | ||
| 2M. Sc.Department of Agricultural Engineering, Faculty of Engineering and Technology, College of Agriculture and Natural Resources, Tehran University | ||
| 3Associate Professor, Department of Agricultural Engineering, Faculty of Engineering and Technology, College of Agriculture and Natural Resources, Tehran University | ||
| 4Ph. D. Student, Department of Agricultural Engineering, Faculty of Engineering and Technology, College of Agriculture and Natural Resources, Tehran University | ||
| Abstract | ||
| In this study, energy consumption and pollutant emissions in producing local cookies in Guilan province have been assessed. Optimization techniques in energy consumption to reduce pollutant emissions were also shown using two conventional methods: data envelopment analysis (DEA) and multi-objective genetic algorithm (MOGA). Required data, gathered from 30 units preparing local cookies, were used as the preliminary data for energy and environmental analyses. Also, the environmental impacts in cookie production were investigated using life cycle assessment (LCA) approach. Inputs and output were converted to equivalent energies based on equivalent energy values. Results showed that 30533.66 MJ of energy would be needed to produce one ton of cookies. The share of natural gas in providing energy to produce one ton of cookies was calculated as high as 16945.2893 MJ. Based on LCA results, the global warming (GW) index was calculated as 3732.09 kg CO2 eq. per ton of local cookies.Based on the results of DEA models, the optimum amount of energy consumption is 30221.5856 MJ ton-1, the energy saving percentage is 1.02 %, and the reduction of GW index is 190.3739 kg CO2 eq. per ton of cookies produced in the units. Following patterns proposed by MOGA would results 21.62% reduction in energy consumption, main part of which associated with cookies in which walnuts are used. Based on the optimization results of MOGA, GW index per production of one ton of cookie was calculated as 2923.74 kg CO2 eq. | ||
| Keywords | ||
| Environmental Impacts; Food Industries; Global Warming | ||
| References | ||
|
Abolshikhi, M. 2014. Study of life cycle of bread production-case study: Ray county, Tehran. M. Sc. Thesis. University of Tehran. Karaj. Iran. (in Persian)
Andersson, K. and Ohlsson, T. 1999. Life cycle assessment of bread produced on different scales. Int. J. Life Cycle Assess. 4(1): 25-40.
Anon. 2006. Environmental Management- Life Cycle Assessment- Principles and Framework- ISO 14040.
Anon. 2014. Results of the survey design from industrial workshops of 10-49 employees. National Statistics Organization. Available at: https://www.amar.org.ir. (in Persian)
Anon. 2017. USDA Food Composition Databases. United States Department of Agriculture. Agricultural Research Service. Available at: https://ndb.nal.usda.gov.
Baum, A. W., Patzek, T., Bender, M., Renich, S. and Jackson, W. 2009. The visible, sustainable farm: A comprehensive energy analysis of a Midwestern farm. Crit. Rev. Plant Sci. 28(4): 218-239.
Bimpeh, M., Djokoto, E., Doe, H. and Jequier, R. 2006. Life cycle assessment (lca) of the production of homemade and industrial bread in Sweden. KTH, Life Cycle Assessment Course (1N1800).
Braschkat, J., Patyk, A., Quirin, M. and Reinhardt, G. A. 2004. Life cycle assessment of bread production-a comparison of eight different scenarios. DIAS report.
Canakci, M., Topakci, M., Akinci, I. and Ozmerzi, A. 2005. Energy use pattern of some field crops and vegetable production: case study for Antalya region, Turkey. Energy Convers. Manage. 46(4): 655-666.
Charnes, A., Cooper, W. W.and Rhodes, E. 1978. Measuring the efficiency of decision-making units. Eur. J. Oper. Res. 2(6): 429-444.
Cooper, W. W., Seiford, L. M. and Zhu, J. 2004. Data envelopment analysis. Handbook on data envelopment analysis. Springer US.
Cooper, W. W., Ruiz, J. L. and Sirvent, I. 2007. Choosing weights from alternative optimal solutions of dual multiplier models in DEA. Eur. J. Oper. Res. 180(1): 443-458.
Davis, L. 1991. A Review of: Handbook of Genetic Algorithms. New York: Van Nostrand Reinhold. ISBN 0-442-00173-8.
Drake, L. and Howcroft, B. 1994. Relative efficiency in the branch network of a UK bank: an empirical study. Omega. 22(1): 83-90.
Erdal, G., Esengün, K., Erdal, H. and Gündüz, O. 2007. Energy use and economical analysis of sugar beet production in Tokat province of Turkey. Energy. 32(1): 35-41.
Espinoza-Orias, N., Stichnothe, H. and Azapagic, A. 2011. The carbon footprint of bread. Int. J. Life Cycle Assess. 16(4): 351-365.
Farrell, M. J. 1957. The measurement of productive efficiency. J. R. Stat. Soc. Series A (General). 120(3): 253-290.
Geerken, T. H., Scholliers, D., De Vooght, C., Spirinckx, V., Van Holderbeke, M. and Vercalsteren, A. 2006. Analysis of the 4 Cases 1/5. Case Study: Bread, Sustainability Developments of Product Systems, 1800-2000. The Belgian Science Policy.
Ghasemi-Mobtaker, H., Akram, A., Keyhani, A. and Mohammadi, A. 2012. Optimization of energy required for alfalfa production using data envelopment analysis approach. Energy Sustain. Dev. 16(2): 242-248.
Guinée, J. B. 2002. Handbook on life cycle assessment operational guide to the ISO standards. Int. J. Life Cycle Assess. 7, 311-313.
Hosseinzadeh-Bandbafha, H., Safarzadeh, D., Ahmadi, E., Nabavi-Pelesaraei, A. and Hosseinzadeh-Bandbafha, E. 2017. Applying data envelopment analysis to evaluation of energy efficiency and decreasing of greenhouse gas emissions of fattening farms. Energy. 120, 652-662.
Karakaya, A. and Özilgen, M. 2011. Energy utilization and carbon dioxide emission in the fresh, paste, whole-peeled, diced, and juiced tomato production processes. Energy. 36(8):
Khatir, Z., Taherkhani, A. R., Paton, J., Thompson, H., Kapur, N. and Toropov, V. 2015. Energy thermal management in commercial bread-baking using a multi-objective optimisation framework. Appl. Therm. Eng. 80, 141-149.
Kitani, O. 1999. CIGR handbook of agricultural engineering. Energy and Biomass Engineering, ASAE Pub. St Joseph, MI.
Kulak, M., Nemecek, T., Frossard, E., Chable, V. and Gaillard, G. 2015. Life cycle assessment of bread from several alternative food networks in Europe. J. Clean. Prod. 90, 104-113.
Maupu, P., Berthoud, A., Négri, O., Leguereau, B., Gely, B. and Poupart, A. 2012. Traceability of environmental information all along the cereal industry: from the wheat field to the bakery. Proceedings of the 2nd LCA Conference. Nov. 6-7. Lille, France.
Mousavi-Avval, S. H., Rafiee, S., Jafari, A. and Mohammadi, A. 2011. Optimization of energy consumption for soybean production using Data Envelopment Analysis (DEA) approach. Appl. Energy. 88(11): 3765-3772.
Namdari, M. 2015. Optimization of sugar beet production using colonial competition algorithm and life cycle assessment of sugar production. Ph. D. Thesis. University of Tehran. Karaj, Iran. (in Persian)
Nia-Jalili, M., Nakhashzadegan, M., Haghighi-Pashiri, A. and Hossein-Nia, S. M. 2013. Investigating the potential of wind and solar energy in Guilan province. Proceedings of The 3rd Conference on Renewable Energies and Scattered Iran Production. April 10-11. Isfahan, Iran. (in Persian)
Notarnicola, B., Tassielli, G., Renzulli, P. A. and Monforti, F. 2017. Energy flows and greenhouses gases of EU (European Union) national breads using an LCA (Life Cycle Assessment) approach. J. Clean. Prod. 140, 455-469.
Ozkan, B., Akcaoz, H. and Fert, C. 2004. Energy input–output analysis in Turkish agriculture. Renew. Energy. 29(1): 39-51.
Qaseri, K., Mehrno, H. and Jafari, A., 2007. Introduction to Fuzzy Data Envelopment Analysis. Islamic Azad University, Qazvin Branch, Iran. (in Persian)
Rajaeifar, M. A., Tabatabaei, M., Ghanavati, H., Khoshnevisan, B. and Rafiee, S. 2015. Comparative life cycle assessment of different municipal solid waste management scenarios in Iran. Renew. Sust. Energy Rev. 51, 886-898.
Ronald, K. K. and Samuel J. R. 2008. Modeling Data Envelopment Analysis (DEA) efficient location allocationdecision. Comput. Oper. Res. 35(2): 457-474
Shamshirband, S., Khoshnevisan, B., Yousefi, M., Bolandnazar, E., Anuar, N. B., Wahab, A. W. A. and Khan, S. U. R. 2015. A multi-objective evolutionary algorithm for energy management of agricultural systems- a case study in Iran. Renew. Sust. Energy Rev. 44, 457-465.
Taki, M., Ajabshirchi, Y., and Mahmoudi, A. 2012. Prediction of output energy for wheat production using artificial neural networks in Esfahan province of Iran. J. Agric. Tech. 8(4): 1229-1242.
Thankappan, S. 2003. Modelling sustainable energy use for smallholder agriculture in Gujarat: a multi-objective programming approach. Ph. D. Thesis. University of Wales, Aberystwyth.
Therkelsen, P., Masanet, E. and Worrell, E. 2014. Energy efficiency opportunities in the US commercial baking industry. J. Food Eng. 130, 14-22. | ||
|
Statistics Article View: 1,066 PDF Download: 464 |
||
Journal management system. designed by sinaweb