An Optimization Approach for A Biogas Supply Chain using Goal Programming and Mixed Integer Linear Programming

Onur Derse; Elifcan Göçmen

Makale detayları

An Optimization Approach for A Biogas Supply Chain using Goal Programming and Mixed Integer Linear Programming

Yazarlar:

Onur Derse | Elifcan Göçmen

Yayıncı:

Bitlis Eren University

Ana Başlıklar:

Engineering

Dergi:

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi Vol.12 Issue 2, pp.402-411

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001292728

pISSN:

2147-3129

Anahtar kelimeler:

Özet:

 Environmental concerns prompt the world for a transition to renewable energy sources from fossil energy. Reducing the dependency on non-renewable sources of energy is prerequisite for the sustainable world and less environmental pollution. Biogas energy, which is one of the most important renewable energy sources, is produced by burning organic wastes and can be used in many different fields. In this study, a two-stage approach is undertaken to optimize a biogas supply chain design by incorporating of 30 districts in Izmir. In the first stage, the selection of the most suitable biogas plants is considered by the goal programming approach, which is of great importance to decide the optimal location with high energy potential. The most suitable sites for the biogas plants are obtained as Konak and Narlıdere districts. In the second stage, the location problem of the biogas vehicle charging stations BVS for biogas vehicles is handled considering the results of the first stage using mixed integer linear programming MILP approach. Computational results demonstrate that it would be more appropriate to establish BVS in 12 districts of İzmir. The model and solution approach are pioneering for supply chain problems and an efficient tool for renewable energy plans.

 Environmental concerns prompt the world for a transition to renewable energy sources from fossil energy. Reducing the dependency on non-renewable sources of energy is prerequisite for the sustainable world and less environmental pollution. Biogas energy, which is one of the most important renewable energy sources, is produced by burning organic wastes and can be used in many different fields. In this study, a two-stage approach is undertaken to optimize a biogas supply chain design by incorporating of 30 districts in Izmir. In the first stage, the selection of the most suitable biogas plants is considered by the goal programming approach, which is of great importance to decide the optimal location with high energy potential. The most suitable sites for the biogas plants are obtained as Konak and Narlıdere districts. In the second stage, the location problem of the biogas vehicle charging stations BVS for biogas vehicles is handled considering the results of the first stage using mixed integer linear programming MILP approach. Computational results demonstrate that it would be more appropriate to establish BVS in 12 districts of İzmir. The model and solution approach are pioneering for supply chain problems and an efficient tool for renewable energy plans.

 Environmental concerns prompt the world for a transition to renewable energy sources from fossil energy. Reducing the dependency on non-renewable sources of energy is prerequisite for the sustainable world and less environmental pollution. Biogas energy, which is one of the most important renewable energy sources, is produced by burning organic wastes and can be used in many different fields. In this study, a two-stage approach is undertaken to optimize a biogas supply chain design by incorporating of 30 districts in Izmir. In the first stage, the selection of the most suitable biogas plants is considered by the goal programming approach, which is of great importance to decide the optimal location with high energy potential. The most suitable sites for the biogas plants are obtained as Konak and Narlıdere districts. In the second stage, the location problem of the biogas vehicle charging stations BVS for biogas vehicles is handled considering the results of the first stage using mixed integer linear programming MILP approach. Computational results demonstrate that it would be more appropriate to establish BVS in 12 districts of İzmir. The model and solution approach are pioneering for supply chain problems and an efficient tool for renewable energy plans.

 Environmental concerns prompt the world for a transition to renewable energy sources from fossil energy. Reducing the dependency on non-renewable sources of energy is prerequisite for the sustainable world and less environmental pollution. Biogas energy, which is one of the most important renewable energy sources, is produced by burning organic wastes and can be used in many different fields. In this study, a two-stage approach is undertaken to optimize a biogas supply chain design by incorporating of 30 districts in Izmir. In the first stage, the selection of the most suitable biogas plants is considered by the goal programming approach, which is of great importance to decide the optimal location with high energy potential. The most suitable sites for the biogas plants are obtained as Konak and Narlıdere districts. In the second stage, the location problem of the biogas vehicle charging stations BVS for biogas vehicles is handled considering the results of the first stage using mixed integer linear programming MILP approach. Computational results demonstrate that it would be more appropriate to establish BVS in 12 districts of İzmir. The model and solution approach are pioneering for supply chain problems and an efficient tool for renewable energy plans.

Makale detayları

An Optimization Approach for A Biogas Supply Chain using Goal Programming and Mixed Integer Linear Programming

Yazarlar:

Onur Derse | Elifcan Göçmen

Yayıncı:

Bitlis Eren University

Ana Başlıklar:

Engineering

Dergi:

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi Vol.12 Issue 2, pp.402-411

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001292728

pISSN:

2147-3129

Biogas Supply Chain Optimization

Biogas Vehicle Charging Stations

Location Problem

Mixed Integer Linear Programming

Goal ProgrammingBiogas Supply Chain Optimization

Biogas Supply Chain Optimization

Biogas Vehicle Charging Stations

Location Problem

Mixed Integer Linear Programming

Goal Programming

Sayı

Makale detayları

Yazarlar: Onur Derse | Elifcan Göçmen

Yayıncı: Bitlis Eren University

Ana Başlıklar: Engineering

Dergi: Bitlis Eren Üniversitesi Fen Bilimleri Dergisi Vol.12 Issue 2, pp.402-411

Belge Tipi: Makale

Yayın Tarihi: 6/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001292728

pISSN: 2147-3129

Sayı

Yazarlar:

Onur Derse | Elifcan Göçmen

Yayıncı:

Bitlis Eren University

Ana Başlıklar:

Engineering

Dergi:

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi Vol.12 Issue 2, pp.402-411

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001292728

pISSN:

2147-3129