Optimization of Energy Consumption and Reduction of Environmental Emissions in Cookie Production using Data Envelopment Analysis and Genetic Algorithm Techniques

Khanali, Majid; Mohammadnia Galeshklamei, Mahdieh; Akram, Asadollah; Hosseinzadeh Bndbafha, Homa

doi:10.22092/erams.2018.115061.1215

Document Type : Original Article

Authors

¹ Associate Professor, Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

² M. Sc.Department of Agricultural Engineering, Faculty of Engineering and Technology, College of Agriculture and Natural Resources, Tehran University

³ Associate Professor, Department of Agricultural Engineering, Faculty of Engineering and Technology, College of Agriculture and Natural Resources, Tehran University

⁴ Ph. D. Student, Department of Agricultural Engineering, Faculty of Engineering and Technology, College of Agriculture and Natural Resources, Tehran University

https://doi.org/10.22092/erams.2018.115061.1215

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 CO_{2 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 CO_{2 eq}.

Keywords

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Agricultural Mechanization and Systems Research

Optimization of Energy Consumption and Reduction of Environmental Emissions in Cookie Production using Data Envelopment Analysis and Genetic Algorithm Techniques

References

References

Volume 20, Issue 72 - Serial Number 72
July 2019
Pages 143-162

Optimization of Energy Consumption and Reduction of Environmental Emissions in Cookie Production using Data Envelopment Analysis and Genetic Algorithm Techniques

References

References

Volume 20, Issue 72 - Serial Number 72July 2019Pages 143-162

Volume 20, Issue 72 - Serial Number 72
July 2019
Pages 143-162