Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission Pipelines
As a promising energy resource, offshore natural gas is primarily used for power generation. The comprehensive offshore gas-to-power system, which includes extraction, treatment, compression, pipeline transmission, and power generation, is extensive and operates within various regulatory, operationa...
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MDPI AG
2025-01-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/2/201 |
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| author | Wenwen Zhang Qiaoqiao Tang Xuenong Gao Rujin Zhou |
| author_facet | Wenwen Zhang Qiaoqiao Tang Xuenong Gao Rujin Zhou |
| author_sort | Wenwen Zhang |
| collection | DOAJ |
| description | As a promising energy resource, offshore natural gas is primarily used for power generation. The comprehensive offshore gas-to-power system, which includes extraction, treatment, compression, pipeline transmission, and power generation, is extensive and operates within various regulatory, operational, and financial constraints. This complexity offers opportunities to optimize one or more system operations to enhance profitability while fulfilling user demands and environmental considerations. In this research, we present a model-based, computer-aided framework that intuitively connects upstream natural gas operations with downstream power generation and distribution. We develop a multi-period Mixed-Integer Nonlinear Programming (MINLP) model that integrates gas treatment, compression, and long-distance transmission with power generation. The model combines first-principle mechanistic process models with a linepack model that calculates the gas volume storable in long-distance pipelines for transmission. The linepack model facilitates gas storage and withdrawal across different periods to accommodate demand scheduling. We apply this framework using the MINLP model in three scenarios: profit maximization, cost minimization, and supply-demand balancing using linepack. The results demonstrate improved economic performance for offshore natural gas-based power generation in China under varying periodic power demands. |
| format | Article |
| id | doaj-art-5d2af621b3b84b2f985a64c1899a3f4e |
| institution | DOAJ |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-5d2af621b3b84b2f985a64c1899a3f4e2025-08-20T03:12:11ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-01-0113220110.3390/jmse13020201Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission PipelinesWenwen Zhang0Qiaoqiao Tang1Xuenong Gao2Rujin Zhou3College of Chemistry, Guangdong University of Petrochemical Technology, Maoming 525000, ChinaSchool of Material Science and Chemical Engineering, Hubei University of Technology, Wuhan 430068, ChinaSchool of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, ChinaCollege of Chemistry, Guangdong University of Petrochemical Technology, Maoming 525000, ChinaAs a promising energy resource, offshore natural gas is primarily used for power generation. The comprehensive offshore gas-to-power system, which includes extraction, treatment, compression, pipeline transmission, and power generation, is extensive and operates within various regulatory, operational, and financial constraints. This complexity offers opportunities to optimize one or more system operations to enhance profitability while fulfilling user demands and environmental considerations. In this research, we present a model-based, computer-aided framework that intuitively connects upstream natural gas operations with downstream power generation and distribution. We develop a multi-period Mixed-Integer Nonlinear Programming (MINLP) model that integrates gas treatment, compression, and long-distance transmission with power generation. The model combines first-principle mechanistic process models with a linepack model that calculates the gas volume storable in long-distance pipelines for transmission. The linepack model facilitates gas storage and withdrawal across different periods to accommodate demand scheduling. We apply this framework using the MINLP model in three scenarios: profit maximization, cost minimization, and supply-demand balancing using linepack. The results demonstrate improved economic performance for offshore natural gas-based power generation in China under varying periodic power demands.https://www.mdpi.com/2077-1312/13/2/201offshore natural gaslinepackmulti-period operationmathematical modelingoptimization |
| spellingShingle | Wenwen Zhang Qiaoqiao Tang Xuenong Gao Rujin Zhou Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission Pipelines Journal of Marine Science and Engineering offshore natural gas linepack multi-period operation mathematical modeling optimization |
| title | Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission Pipelines |
| title_full | Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission Pipelines |
| title_fullStr | Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission Pipelines |
| title_full_unstemmed | Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission Pipelines |
| title_short | Multi-Period Operational Modelling and Optimization for Large-Scale Natural Gas Networks Considering Linepack Functions in Long-Distance Transmission Pipelines |
| title_sort | multi period operational modelling and optimization for large scale natural gas networks considering linepack functions in long distance transmission pipelines |
| topic | offshore natural gas linepack multi-period operation mathematical modeling optimization |
| url | https://www.mdpi.com/2077-1312/13/2/201 |
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