Use of imperialist competitive algorithm for optimization of energy productivity and damage assessment in sugar industry: A case study
A study was conducted to optimize energy consumption and evaluate the life cycle of the sugar industry in Plant (PS) and Ratoon (RS) sugarcane farms, which were evaluated using the imperialistic competition algorithm (ICA). The data were collected through face-to-face interviews with farmers and spe...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Environmental and Sustainability Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665972723000405 |
| _version_ | 1827921369041469440 |
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| author | Meysam Boroun Mohammad Ghahderijani Abd Ali Naseri Babak Beheshti |
| author_facet | Meysam Boroun Mohammad Ghahderijani Abd Ali Naseri Babak Beheshti |
| author_sort | Meysam Boroun |
| collection | DOAJ |
| description | A study was conducted to optimize energy consumption and evaluate the life cycle of the sugar industry in Plant (PS) and Ratoon (RS) sugarcane farms, which were evaluated using the imperialistic competition algorithm (ICA). The data were collected through face-to-face interviews with farmers and specialized questionnaires. The energy equivalent of each input or output was obtained, with diesel fuel inputs and chemical fertilizers being the most non-optimal energy consumers. The energy indices showed better results when comparing yields at different levels. Additionally, a life cycle assessment (LCA) was performed using the IMPACT2002+ model, which revealed that the production of sugarcane generates fewer environmental burdens in almost all fields of production in RS than in PS. However, aquatic ecotoxicity and aquatic eutrophication were identified as the most significant environmental loads due to the excessive and unconventional use of chemical fertilizers. Based on the results obtained from the optimization of energy consumption and environmental emissions using the ICA, it was found that PS farms were more efficient than RS farms, despite consuming more energy. To reduce environmental greenhouse gas emissions in the sugar industry, focusing on reducing aquatic ecotoxicity and aquatic eutrophication would be the most effective strategy. |
| first_indexed | 2024-03-13T04:26:33Z |
| format | Article |
| id | doaj.art-1376104f20024c719819959964c54afc |
| institution | Directory Open Access Journal |
| issn | 2665-9727 |
| language | English |
| last_indexed | 2024-03-13T04:26:33Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environmental and Sustainability Indicators |
| spelling | doaj.art-1376104f20024c719819959964c54afc2023-06-20T04:20:49ZengElsevierEnvironmental and Sustainability Indicators2665-97272023-09-0119100263Use of imperialist competitive algorithm for optimization of energy productivity and damage assessment in sugar industry: A case studyMeysam Boroun0Mohammad Ghahderijani1Abd Ali Naseri2Babak Beheshti3Department of Agricultural Systems Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of Agricultural Systems Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran; Corresponding author.Department of Irrigation and Drainage, Faculty of Water and Environmental Engineering, Shahid Chamran University of Ahvaz, Ahvaz, IranDepartment of Agricultural Systems Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranA study was conducted to optimize energy consumption and evaluate the life cycle of the sugar industry in Plant (PS) and Ratoon (RS) sugarcane farms, which were evaluated using the imperialistic competition algorithm (ICA). The data were collected through face-to-face interviews with farmers and specialized questionnaires. The energy equivalent of each input or output was obtained, with diesel fuel inputs and chemical fertilizers being the most non-optimal energy consumers. The energy indices showed better results when comparing yields at different levels. Additionally, a life cycle assessment (LCA) was performed using the IMPACT2002+ model, which revealed that the production of sugarcane generates fewer environmental burdens in almost all fields of production in RS than in PS. However, aquatic ecotoxicity and aquatic eutrophication were identified as the most significant environmental loads due to the excessive and unconventional use of chemical fertilizers. Based on the results obtained from the optimization of energy consumption and environmental emissions using the ICA, it was found that PS farms were more efficient than RS farms, despite consuming more energy. To reduce environmental greenhouse gas emissions in the sugar industry, focusing on reducing aquatic ecotoxicity and aquatic eutrophication would be the most effective strategy.http://www.sciencedirect.com/science/article/pii/S2665972723000405Energy productivityLife cycle assessmentImperialist competitive algorithmOptimization |
| spellingShingle | Meysam Boroun Mohammad Ghahderijani Abd Ali Naseri Babak Beheshti Use of imperialist competitive algorithm for optimization of energy productivity and damage assessment in sugar industry: A case study Environmental and Sustainability Indicators Energy productivity Life cycle assessment Imperialist competitive algorithm Optimization |
| title | Use of imperialist competitive algorithm for optimization of energy productivity and damage assessment in sugar industry: A case study |
| title_full | Use of imperialist competitive algorithm for optimization of energy productivity and damage assessment in sugar industry: A case study |
| title_fullStr | Use of imperialist competitive algorithm for optimization of energy productivity and damage assessment in sugar industry: A case study |
| title_full_unstemmed | Use of imperialist competitive algorithm for optimization of energy productivity and damage assessment in sugar industry: A case study |
| title_short | Use of imperialist competitive algorithm for optimization of energy productivity and damage assessment in sugar industry: A case study |
| title_sort | use of imperialist competitive algorithm for optimization of energy productivity and damage assessment in sugar industry a case study |
| topic | Energy productivity Life cycle assessment Imperialist competitive algorithm Optimization |
| url | http://www.sciencedirect.com/science/article/pii/S2665972723000405 |
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