预告:邓天虎: Transient-State Natural Gas Transmission in Gunbarrel Pipeline Networks

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2019-01-16 来源:电气与信息工程学院

报告承办单位:电气与信息工程学院

报告题目:Transient-State Natural Gas Transmission in Gunbarrel Pipeline Networks

报告人姓名:邓天虎

报告人所在单位:清华大学 工业工程系

报告人职称/职务及学术头衔:副教授

报告时间:2019年1月18日下午15:30

报告地点:云塘校区工科一号楼B503会议室

报告内容:We study the energy consumption minimization problems of natural gas transmission in Gunbarrel structured networks. We consider the transient-state dynamics of natural gas and the compressor’s nonlinear working domain and min-up-and-down constraints. We formulate the problem as a two-level dynamic program (DP), where the upper-level DP problem models each compressor station as a decision stage and each station’s optimization problem is further formulated as a lower-level DP by setting each time period as a stage. Both dynamic programming problems face the curse of high dimensionality. We propose an approximate dynamic programming (ADP) approach for the upper-level DP using appropriate basis functions, and an exact approach for the lower-level DP by exploiting the structure of the problem. We validate the superior performance of the proposed ADP approach on both synthetic and real networks, as compared to the benchmark simulated annealing (SA) heuristic and the commonly used myopic policy and steady-state policy. On the synthetic networks, the ADP reduces the energy consumption by 5.8%-6.7% from the SA and 12% from the myopic policy. On the test Gunbarrel network with 21 compressor stations and 28 pipes calibrated from China National Petroleum Corporation (CNPC), the ADP saves 4.8%-5.1% (with an average of 5.0%) energy consumption than the SA and the currently deployed steady-state policy, which translates to cost savings of millions of dollars a year. Moreover, the proposed ADP algorithm requires 18.4%-61.0% less computation time than the SA. The advantages in both solution quality and computation time strongly support the proposed ADP algorithm in practice.

报告人概况:邓天虎,清华大学工业工程系副教授。国际运筹与管理科学学会Franz Edelman Laureates。任中国运筹学会随机服务与运作管理分会青年理事(2014至今)和中国运筹学会随机服务与运作管理分会青年理事(2014至今)。研究领域包括天然气管道运输优化和传统的供应链管理。获得中国运筹学会随机服务与运作管理分会优秀青年学者奖 (2017和北京市运筹学学会2016年青年优秀论文奖。负责实行的中石油天然气管网优化项目入围INFORMS设立的管理科学应用界最高奖项弗兰茨·厄德曼奖 (Franz Edelman Award2018年决赛。主持国家自然科学基金的优秀青年基金项目,参与完成国家重点自然科学基金1项。主持海军军队项目2项。目前研究成果已于Operations ResearchManufacturing & Service Operations Management以及Interfaces等国际学术期刊上获得发表。

 

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