Tank cycling and scheduling analysis of high fusion point oil transportation for crude oil operations in refinery
For short-term scheduling of crude oil operations, oil residency time and high fusion crude oil transportation constraints are difficult to model. With high setup cost for high fusion point oil transportation, it is desired that the volume of such oil should be transported as much as possible by a s...
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| Published in | Computers & chemical engineering Vol. 34; no. 4; pp. 529 - 543 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
2010
Elsevier |
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| Abstract | For short-term scheduling of crude oil operations, oil residency time and high fusion crude oil transportation constraints are difficult to model. With high setup cost for high fusion point oil transportation, it is desired that the volume of such oil should be transported as much as possible by a single setup. To do so and obtain a feasible schedule, charging tank cycling is an effective strategy. With a hybrid Petri net model, scheduling analysis is carried out and schedulability conditions under a charging tank cycling strategy are presented. They can be used for determining a refining schedule and checking if a target refining schedule is realizable. If so, a detailed feasible schedule can be easily obtained by creating the operation decisions one by one and put into immediate industrial use. |
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| AbstractList | For short-term scheduling of crude oil operations, oil residency time and high fusion crude oil transportation constraints are difficult to model. With high setup cost for high fusion point oil transportation, it is desired that the volume of such oil should be transported as much as possible by a single setup. To do so and obtain a feasible schedule, charging tank cycling is an effective strategy. With a hybrid Petri net model, scheduling analysis is carried out and schedulability conditions under a charging tank cycling strategy are presented. They can be used for determining a refining schedule and checking if a target refining schedule is realizable. If so, a detailed feasible schedule can be easily obtained by creating the operation decisions one by one and put into immediate industrial use. |
| Author | Chu, Feng Zhou, MengChu Chu, Chengbin Wu, Naiqi |
| Author_xml | – sequence: 1 givenname: Naiqi surname: Wu fullname: Wu, Naiqi email: nqwu@gdut.edu.cn organization: Department of Industrial Engineering, School of Mechatronics Engineering, Guangdong University of Technology, West 100, Outer Ring Road, Xiaoguwei Island, Guangzhou 510006, PR China – sequence: 2 givenname: Feng surname: Chu fullname: Chu, Feng organization: Laboratoire IBISC FRE CNRS 3190, Université d’Evry Val d’Essonne, 40 rue du Pelvoux, CE 1455 Courcouronnes 91020 Evry Cédex, France – sequence: 3 givenname: Chengbin surname: Chu fullname: Chu, Chengbin organization: Laboratoire Génie Industriel, Ecole Centrale Paris, Grande voie des Vignes, 92295 CHÂTENAY-MALABRY Cedex, France – sequence: 4 givenname: MengChu surname: Zhou fullname: Zhou, MengChu email: zhou@njit.edu organization: Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ 07102-1982, USA |
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| Issue | 4 |
| Keywords | Crude oil operations Scheduling Schedulability Petri net |
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| Snippet | For short-term scheduling of crude oil operations, oil residency time and high fusion crude oil transportation constraints are difficult to model. With high... |
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| SubjectTerms | Computer Science Crude oil operations Operations Research Petri net Schedulability Scheduling |
| Title | Tank cycling and scheduling analysis of high fusion point oil transportation for crude oil operations in refinery |
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