Design of a sustainable supply chain network of biomass renewable energy in the case of disruption
Abstract Non-renewable energy sources, including fossil fuels, are a type of energy whose consumption rate far exceeds its natural production rate. Therefore, non-renewable resources will be exhausted if alternative energy is not fully developed, leading to an energy crisis in the near future. In th...
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Nature Portfolio
2024-06-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-64341-9 |
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| author | Leila Aslani Atefeh Hasan-Zadeh Yousef Kazemzadeh Amir-Hosein Sheikh-Azadi |
| author_facet | Leila Aslani Atefeh Hasan-Zadeh Yousef Kazemzadeh Amir-Hosein Sheikh-Azadi |
| author_sort | Leila Aslani |
| collection | DOAJ |
| description | Abstract Non-renewable energy sources, including fossil fuels, are a type of energy whose consumption rate far exceeds its natural production rate. Therefore, non-renewable resources will be exhausted if alternative energy is not fully developed, leading to an energy crisis in the near future. In this paper, a mathematical model has been proposed for the design of the biomass supply chain of field residues that includes several fields where residue is transferred to hubs after collecting the residue in the hub, the residue is transferred to reactors. In reactors, the residue is converted into gas, which is transferred to condenser and transformers, converted into electricity and sent to demand points through the network. In this paper, the criteria of stability and disturbance were considered, which have been less discussed in related research, and the purpose of the proposed model was to maximize the profit from the sale of energy, including the selling price minus the costs. Genetic algorithm (GA) and simulated annealing (SA) algorithm have been used to solve the model. Then, to prove the complexity of the problem, different and random examples have been presented in different dimensions of the problem. Also, the efficiency of the algorithm in small and large dimensions was proved by comparing GA and SA due to the low deviation of the solutions and the methods used have provided acceptable results suitable for all decision-makers. Also, the effectiveness of the algorithm in small and large dimensions is proven by comparing the genetic algorithm and simulated annealing, and the genetic algorithm's values are better, considering the deviation of 2.9%.and have provided solution methods suitable for all decision makers. |
| format | Article |
| id | doaj-art-15675ff7f93e48b7b93d30d723e1139a |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj-art-15675ff7f93e48b7b93d30d723e1139a2025-01-26T12:34:52ZengNature PortfolioScientific Reports2045-23222024-06-0114111810.1038/s41598-024-64341-9Design of a sustainable supply chain network of biomass renewable energy in the case of disruptionLeila Aslani0Atefeh Hasan-Zadeh1Yousef Kazemzadeh2Amir-Hosein Sheikh-Azadi3Fouman Faculty of Engineering, College of Engineering, University of TehranFouman Faculty of Engineering, College of Engineering, University of TehranDepartment of Petroleum Engineering, Faculty of Petroleum, Gas, and Petrochemical Engineering, Persian Gulf UniversityFouman Faculty of Engineering, College of Engineering, University of TehranAbstract Non-renewable energy sources, including fossil fuels, are a type of energy whose consumption rate far exceeds its natural production rate. Therefore, non-renewable resources will be exhausted if alternative energy is not fully developed, leading to an energy crisis in the near future. In this paper, a mathematical model has been proposed for the design of the biomass supply chain of field residues that includes several fields where residue is transferred to hubs after collecting the residue in the hub, the residue is transferred to reactors. In reactors, the residue is converted into gas, which is transferred to condenser and transformers, converted into electricity and sent to demand points through the network. In this paper, the criteria of stability and disturbance were considered, which have been less discussed in related research, and the purpose of the proposed model was to maximize the profit from the sale of energy, including the selling price minus the costs. Genetic algorithm (GA) and simulated annealing (SA) algorithm have been used to solve the model. Then, to prove the complexity of the problem, different and random examples have been presented in different dimensions of the problem. Also, the efficiency of the algorithm in small and large dimensions was proved by comparing GA and SA due to the low deviation of the solutions and the methods used have provided acceptable results suitable for all decision-makers. Also, the effectiveness of the algorithm in small and large dimensions is proven by comparing the genetic algorithm and simulated annealing, and the genetic algorithm's values are better, considering the deviation of 2.9%.and have provided solution methods suitable for all decision makers.https://doi.org/10.1038/s41598-024-64341-9Biomass supply chainGenetic algorithmSimulated annealing algorithmStabilityDisruption |
| spellingShingle | Leila Aslani Atefeh Hasan-Zadeh Yousef Kazemzadeh Amir-Hosein Sheikh-Azadi Design of a sustainable supply chain network of biomass renewable energy in the case of disruption Scientific Reports Biomass supply chain Genetic algorithm Simulated annealing algorithm Stability Disruption |
| title | Design of a sustainable supply chain network of biomass renewable energy in the case of disruption |
| title_full | Design of a sustainable supply chain network of biomass renewable energy in the case of disruption |
| title_fullStr | Design of a sustainable supply chain network of biomass renewable energy in the case of disruption |
| title_full_unstemmed | Design of a sustainable supply chain network of biomass renewable energy in the case of disruption |
| title_short | Design of a sustainable supply chain network of biomass renewable energy in the case of disruption |
| title_sort | design of a sustainable supply chain network of biomass renewable energy in the case of disruption |
| topic | Biomass supply chain Genetic algorithm Simulated annealing algorithm Stability Disruption |
| url | https://doi.org/10.1038/s41598-024-64341-9 |
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