An integrated optimization model for natural gas supply chain. (15th October 2019)
- Record Type:
- Journal Article
- Title:
- An integrated optimization model for natural gas supply chain. (15th October 2019)
- Main Title:
- An integrated optimization model for natural gas supply chain
- Authors:
- Zarei, Javad
Amin-Naseri, Mohammad Reza - Abstract:
- Abstract: Natural gas is a green fossil fuel with the highest demand growth. Natural gas industry is composed of different sectors that form a complex and large supply chain. These sectors make their own decisions individually, resulting in implementation of non-optimal decisions. The aim of this study is to design and optimize an integrated natural gas supply chain (NGSC) formulated as a mixed integer linear programming (MILP) model. The model minimizes total cost and optimizes gas flow between supply chain nodes through pipelines, location-allocation of facilities and pipeline routes along with their capacities, number of pipelines, capacity expansion, extraction, production, storage, exports and imports. The proposed model is applied to a real world case study based on information derived from Iran's NGSC. Finally, the change effect of the most important parameters on the optimal solution is investigated and three actual scenarios are analyzed. The results indicate that the parameters of operating costs and demand volume have a significant effect on the optimal solution and the largest share of supply chain costs is related to operating expenditures. Moreover, the expansion of joint fields and zero import capacity will lead to a remarkable increase in total supply chain costs. Highlights: A novel optimization framework for natural gas supply chain design is proposed. . The integrated strategic and tactical planning of gas supply chain is performed. Location-allocation andAbstract: Natural gas is a green fossil fuel with the highest demand growth. Natural gas industry is composed of different sectors that form a complex and large supply chain. These sectors make their own decisions individually, resulting in implementation of non-optimal decisions. The aim of this study is to design and optimize an integrated natural gas supply chain (NGSC) formulated as a mixed integer linear programming (MILP) model. The model minimizes total cost and optimizes gas flow between supply chain nodes through pipelines, location-allocation of facilities and pipeline routes along with their capacities, number of pipelines, capacity expansion, extraction, production, storage, exports and imports. The proposed model is applied to a real world case study based on information derived from Iran's NGSC. Finally, the change effect of the most important parameters on the optimal solution is investigated and three actual scenarios are analyzed. The results indicate that the parameters of operating costs and demand volume have a significant effect on the optimal solution and the largest share of supply chain costs is related to operating expenditures. Moreover, the expansion of joint fields and zero import capacity will lead to a remarkable increase in total supply chain costs. Highlights: A novel optimization framework for natural gas supply chain design is proposed. . The integrated strategic and tactical planning of gas supply chain is performed. Location-allocation and capacity expansion of facilities and pipeline routes are considered. Gas storage process in the supply chain is carried out using underground reservoirs. … (more)
- Is Part Of:
- Energy. Volume 185(2019)
- Journal:
- Energy
- Issue:
- Volume 185(2019)
- Issue Display:
- Volume 185, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 185
- Issue:
- 2019
- Issue Sort Value:
- 2019-0185-2019-0000
- Page Start:
- 1114
- Page End:
- 1130
- Publication Date:
- 2019-10-15
- Subjects:
- Natural gas -- Supply chain -- Optimization -- Location allocation -- Capacity expansion
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2019.07.117 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16242.xml