Open Access
Issue |
E3S Web Conf.
Volume 520, 2024
4th International Conference on Environment Resources and Energy Engineering (ICEREE 2024)
|
|
---|---|---|
Article Number | 04008 | |
Number of page(s) | 7 | |
Section | Research on Energy Planning and Management and Energy Economy Strategy | |
DOI | https://doi.org/10.1051/e3sconf/202452004008 | |
Published online | 03 May 2024 |
- Wu Changchun, Zhang Peng, Jiang Fangmei. Gas pipeline simulation software and its application in gas supply peak shaving [J]. Petroleum Industry Technical Supervision, 2005 (05): 33–36. [Google Scholar]
- Li Bo, Yan Dafan, Chen Xiangxin. Peak shaving analysis of mainline gas pipelines with gas storage facilities [J]. Oil and Gas Storage and Transportation, 2002, (03): 1518+1559-4 [Google Scholar]
- Li Bo, Chen Xiangxin, Yang Qingyang et al. Using underground gas storage to solve the problem of gas imbalance [J]. Oil and Gas Storage and Transportation, 2003 (02): 710+60–61 [Google Scholar]
- Li Hua. Research on Peak shaving Scheme of Shaanxi Beijing Railway [D]. Beijing: University of Petroleum (Beijing), 2002 [Google Scholar]
- Jiang Fangmei. Research on Peak shaving Scheme for Gas Supply in the West East Gas Pipeline [D]. Beijing: China University of Petroleum (Beijing), 2003 [Google Scholar]
- Zuo Lili. Simulation and Optimization Research on Peak shaving Scheme of Gas Pipeline Network [D]. Beijing: University of Petroleum (Beijing), 2008 [Google Scholar]
- Xi Haihong, Zhao Lingyu. Optimization of Peak shaving Methods for Yulin Jinan Gas Pipeline [J]. Oil and Gas Storage and Transportation, 2016,35 (04): 381–385+405 [Google Scholar]
- Mahlke D., Martin A., Moritz S. A simulated annealing algorithm for transient optimization in gasnetworks[J]. Mathematical Methods of Operations Research, 2007,66(1):99–115. [CrossRef] [Google Scholar]
- Martin A., Moller M. Cutting planes for the optimisation of gas networks[M]//Modeling. Simulation and Optimization of Complex Processes. Springer, Berlin, Heidelberg,2005:307–329. [CrossRef] [Google Scholar]
- Moritz S. A mixed integer approach for the transient case of gas network optimization: [D]. Darmstadt: TU Darmstadt, 2007. [Google Scholar]
- Mahlke D., Martin A., Moritz S. A mixed integer approach for time-dependent gas network optimization[J]. Optimization Methods & Software, 2010,25(4): 625–644. [CrossRef] [Google Scholar]
- Rachford HHJr, Carter R.G. Optimizing pipeline control in transient gas flow[C]//PSIG annual meeting. Pipeline Simulation Interest Group, 2000. [Google Scholar]
- Rachford HRJr, Carter .RG. Method and apparatus for determining optimal control settings of a pipeline: U.S. Patent 6,701,223[P]. 2004-3-2. [Google Scholar]
- Liu K., Biegler LT, Zhang B., et al. Dynamic optimization of natural gas pipeline networks with demand and composition uncertainty[J]. Chemical Engineering Science,2020,215:115449. [CrossRef] [Google Scholar]
- Zavala V.M. Stochastic optimal control model for natural gas networks[J]. Computers & Chemical Engineering, 2014,64: 103–113. [CrossRef] [Google Scholar]
- Wei Huan, Tian Jing, Li Bo, et al. Research on Peak shaving Methods for Natural Gas Storage in China [J]. Natural Gas Industry, 2016,36 (08): 145–150 [Google Scholar]
- Sun Ligang, Kang Huishan, Sun Di et al. The Relationship between Gas Pipeline Diameter and Gas Storage and Peak shaving Capacity [J]. Oil and Gas Storage and Transportation, 2014, 33 (09): 976–979 [Google Scholar]
- Liu Yanni, Guo Kaihua. Low temperature power cycle using liquefied natural gas cold energy [J]. Journal of Engineering Thermophysics, 2012,33 (11): 1860–1863 [Google Scholar]
- Ju Zhizhong Application of TGNET in Natural Gas Pipeline Construction [J]. Oil and Gas Field Surface Engineering, 2018,37 (09): 98–100 [Google Scholar]
- Huang Weihe, Chang Honggang, Li Shanshan, et al. Research on Energy Measurement Method of Multi gas Source Circular Pipeline Network Based on Operation Simulation [J]. Petroleum and Natural Gas Chemical, 2022, 51 (05): 117–123 [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.