Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach
With the increased complexities in end markets, advanced quantitative tools became essential for efficient decision-making. Traditional methods that implement average forecasted demand and prices often fail to account for the dynamic nature of network behaviour. Hence, this study introduces a multi-...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-10-01
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| Series: | Energy Conversion and Management: X |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174524002964 |
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| author | Noor Yusuf Roberto Baldacci Ahmed AlNouss Tareq Al-Ansari |
| author_facet | Noor Yusuf Roberto Baldacci Ahmed AlNouss Tareq Al-Ansari |
| author_sort | Noor Yusuf |
| collection | DOAJ |
| description | With the increased complexities in end markets, advanced quantitative tools became essential for efficient decision-making. Traditional methods that implement average forecasted demand and prices often fail to account for the dynamic nature of network behaviour. Hence, this study introduces a multi-period mixed integer linear programming (MILP) model for flexible natural gas allocation in complex networks. The model was formulated based on Qatar as a case study, utilising a Qatar-based natural gas monetisation network that includes four direct and two indirect monetisation processes. By integrating flexible operational boundaries with annual demand and price forecasts, the model optimises annual allocation strategies to maximise profitability. A scenario-based evaluation of three cases demonstrated the model’s robustness and potential for enhancing profitability. Scenarios limited to operational constraints achieved the highest profitability, especially in allocating high-value commodities such as ammonia and urea. However, the proposed production capacities surpass the current infrastructure capabilities, requiring further infrastructure investments. The validation of results showed a slight profitability decrease of 1.2% when these investment costs were included. Notably, the case considering fixed and operating cost variables together as a single cost variable in the objective function, referred to as annualised cost (case C), offered optimal cost quantification with relaxed technical constraints. Overall, the multi-level multi-period MILP model aids decision-makers in understanding system capabilities and explores the benefits of flexible operation in proactively addressing endogenous and exogenous uncertainties. |
| format | Article |
| id | doaj-art-80c3687e1f0243a1aaea64f2573f497a |
| institution | OA Journals |
| issn | 2590-1745 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Conversion and Management: X |
| spelling | doaj-art-80c3687e1f0243a1aaea64f2573f497a2025-08-20T01:57:58ZengElsevierEnergy Conversion and Management: X2590-17452024-10-012410081810.1016/j.ecmx.2024.100818Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approachNoor Yusuf0Roberto Baldacci1Ahmed AlNouss2Tareq Al-Ansari3College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City P.O. Box 5825, Doha, QatarCollege of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City P.O. Box 5825, Doha, QatarCollege of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City P.O. Box 5825, Doha, QatarCollege of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Education City P.O. Box 5825, Doha, QatarWith the increased complexities in end markets, advanced quantitative tools became essential for efficient decision-making. Traditional methods that implement average forecasted demand and prices often fail to account for the dynamic nature of network behaviour. Hence, this study introduces a multi-period mixed integer linear programming (MILP) model for flexible natural gas allocation in complex networks. The model was formulated based on Qatar as a case study, utilising a Qatar-based natural gas monetisation network that includes four direct and two indirect monetisation processes. By integrating flexible operational boundaries with annual demand and price forecasts, the model optimises annual allocation strategies to maximise profitability. A scenario-based evaluation of three cases demonstrated the model’s robustness and potential for enhancing profitability. Scenarios limited to operational constraints achieved the highest profitability, especially in allocating high-value commodities such as ammonia and urea. However, the proposed production capacities surpass the current infrastructure capabilities, requiring further infrastructure investments. The validation of results showed a slight profitability decrease of 1.2% when these investment costs were included. Notably, the case considering fixed and operating cost variables together as a single cost variable in the objective function, referred to as annualised cost (case C), offered optimal cost quantification with relaxed technical constraints. Overall, the multi-level multi-period MILP model aids decision-makers in understanding system capabilities and explores the benefits of flexible operation in proactively addressing endogenous and exogenous uncertainties.http://www.sciencedirect.com/science/article/pii/S2590174524002964Natural gas monetisationNatural gas allocationMathematical programmingDecision-makingAnd flexibility |
| spellingShingle | Noor Yusuf Roberto Baldacci Ahmed AlNouss Tareq Al-Ansari Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach Energy Conversion and Management: X Natural gas monetisation Natural gas allocation Mathematical programming Decision-making And flexibility |
| title | Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach |
| title_full | Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach |
| title_fullStr | Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach |
| title_full_unstemmed | Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach |
| title_short | Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach |
| title_sort | multi period optimisation of flexible natural gas production network infrastructure with an operational perspective a mixed integer linear programming approach |
| topic | Natural gas monetisation Natural gas allocation Mathematical programming Decision-making And flexibility |
| url | http://www.sciencedirect.com/science/article/pii/S2590174524002964 |
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