Multi-objective site selection optimization of the gas-gathering station using NSGA-II
The gas-gathering station (GGS) is a key component in the gas field, and its site selection is an important issue for designers. Since the diffusion of gas from the station may pollute the surrounding environment, it is a trend to consider the environmental and economic factors in the site selection...
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| Veröffentlicht in: | Process safety and environmental protection 2018-10, Vol.119, p.350-359 |
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| creator | Wang, Bohong Liang, Yongtu Zheng, Taicheng Yuan, Meng Zhang, Haoran |
| description | The gas-gathering station (GGS) is a key component in the gas field, and its site selection is an important issue for designers. Since the diffusion of gas from the station may pollute the surrounding environment, it is a trend to consider the environmental and economic factors in the site selection of GGSs. In this study, a model is developed with the objective functions of minimal construction costs and environmental impact. We apply NSGA-II to search for the Pareto frontier and couple A* algorithm to find the optimal routes, and we use the Monte Carlo method to sample the uncertain wind data and evaluate the environmental impact. The effectiveness of the proposed method is demonstrated in a design problem in a gas field. The optimal construction site for the GGS is solved by the proposed method. The results show that this work can serve as a decision-support tool for the design of GGS. |
| doi_str_mv | 10.1016/j.psep.2018.08.017 |
| format | Article |
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Since the diffusion of gas from the station may pollute the surrounding environment, it is a trend to consider the environmental and economic factors in the site selection of GGSs. In this study, a model is developed with the objective functions of minimal construction costs and environmental impact. We apply NSGA-II to search for the Pareto frontier and couple A* algorithm to find the optimal routes, and we use the Monte Carlo method to sample the uncertain wind data and evaluate the environmental impact. The effectiveness of the proposed method is demonstrated in a design problem in a gas field. The optimal construction site for the GGS is solved by the proposed method. The results show that this work can serve as a decision-support tool for the design of GGS.</description><identifier>ISSN: 0957-5820</identifier><identifier>EISSN: 1744-3598</identifier><identifier>DOI: 10.1016/j.psep.2018.08.017</identifier><language>eng</language><publisher>Rugby: Elsevier B.V</publisher><subject>Algorithms ; Computer simulation ; Construction costs ; Construction sites ; Diffusion ; Economic factors ; Environmental impact ; Gas field ; Gas gathering station ; Monte carlo ; Monte Carlo simulation ; Multiple objective analysis ; NSGA-II ; Oil and gas fields ; Oil fields ; Optimization ; Site selection</subject><ispartof>Process safety and environmental protection, 2018-10, Vol.119, p.350-359</ispartof><rights>2018 Institution of Chemical Engineers</rights><rights>Copyright Elsevier Science Ltd. 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Since the diffusion of gas from the station may pollute the surrounding environment, it is a trend to consider the environmental and economic factors in the site selection of GGSs. In this study, a model is developed with the objective functions of minimal construction costs and environmental impact. We apply NSGA-II to search for the Pareto frontier and couple A* algorithm to find the optimal routes, and we use the Monte Carlo method to sample the uncertain wind data and evaluate the environmental impact. The effectiveness of the proposed method is demonstrated in a design problem in a gas field. The optimal construction site for the GGS is solved by the proposed method. 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| ispartof | Process safety and environmental protection, 2018-10, Vol.119, p.350-359 |
| issn | 0957-5820 1744-3598 |
| language | eng |
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| source | Elsevier ScienceDirect Journals |
| subjects | Algorithms Computer simulation Construction costs Construction sites Diffusion Economic factors Environmental impact Gas field Gas gathering station Monte carlo Monte Carlo simulation Multiple objective analysis NSGA-II Oil and gas fields Oil fields Optimization Site selection |
| title | Multi-objective site selection optimization of the gas-gathering station using NSGA-II |
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