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  3. 化學工程學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/33370
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳誠亮
dc.contributor.authorZhi-Wei Tangen
dc.contributor.author湯志偉zh_TW
dc.date.accessioned2021-06-13T04:36:57Z-
dc.date.available2006-07-20
dc.date.copyright2006-07-20
dc.date.issued2006
dc.date.submitted2006-07-18
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[15] Hallale, N. and Fraser, D. M. 'Capical cost targets for mass exchange networks: a special case: water minimization,' Chem. Eng. Sci., vol. 53, pp. 293, 1998.
[16] Huang, C.H., Chang, C.T., Ling, H.C., and Chang, C.C. 'A mathematical programming model for water usage and treatment network design,' Ind. Eng. Chem. Res., vol. 38,
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[17] Koppol, A. P-R, Bagajewicz, M., Dericks, B., and Savelski, M. 'On zero water discharge solutions in the process industry,' Adv. in Env. Res., vol. 8, pp. 151, 2003.
[18] Kuo, W. and Smith, R. 'Effluent treatment system design,' Chem. Eng. Sci., vol. 52,pp. 4273, 1997.
[19] Kuo,W. and Smith, R. 'Design of water-using systems involving regeneration,' Trans. Inst.Chem. Eng., vol. 76, pp. 94, 1998.
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[21] Linnhoff, B. and Hindmarsh, E. 'The pinch design method of heat exchanger networks,'Chem. Eng. Sci., vol. 38, pp. 745, 1983.
[22] Linnhoff, B., Mason, D. and Wardle, I. 'Understanding heat exchanger networks,' Comp. Chem. Eng., vol. 3, pp. 91, 1979.
[23] Majozi, T. 'Wastewater minimisation using central reusable water storage in batch plants,' Computers and Chemical Engineering, vol. 29, pp. 1631, 2005.
[24] Majozi, T. and Zhu, X. X. 'A novel continuous time milp gprmilation for multipurpose batch plants. 1. short-term scheduling,' Industrian and Engineering Chemistry Research,vol. 40(25), pp. 5935, 2001.
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[26] Pinto, J.M., and Grossmann, I.E. 'Optimal cyclic scheduling of multistage continuous multiproduct plants.,' Computers Chem. Eng., vol. 18, pp. 797, 1994.
[27] Pinto, J.M., and Grossmann, I.E. 'A continuous time mixed integer linear programming model short term schedulung of multistage batch plants.,' Ind. Eng. Chem. Res., vol. 34,pp. 3037, 1995.
[28] Pinto, J.M., and Grossmann, I.E. 'An alternate milp model for short-term scheduling of process systems.,' Ind. Eng. Chem. Res., vol. 81, pp. 338, 1996.
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[30] Savelski, M. and Bagajewicz, M. 'On the optimal conditions of water utilization systems in process plants with single conatminant,' Chem. Eng. Sci., vol. 55, pp. 5035, 2000.
[31] Savelski, M. and Bagajewicz, M. 'On the use of linear models for the design of water utilization systems in re neries and process plants,' Chem. Eng. Res. Des., vol. 79, pp. 600,2001.
[32] Sikdar, S. K., and El-Halwagi, M. M. Process Design Tools for the Environment, Taylor and Francis, 2001.
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T. 'Optimal water allocation in a petroleum re nery,' Comp. Chem. Eng., vol. 4, pp. 251, 1980.
[34] Tsai, M. j. and Chang, C. T. 'Water usage and treatment network design using genetic algotithms,' Ind. Eng. Chem. Res., vol. 40, pp. 4874, 2001.
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[37] Zhang, X. and Satgent, R.W. H. 'The optimal operation of mixed production facilities. part a. general formulation and some solution approaches for the silution.,' Computers Chem.Eng., vol. 20, pp. 897, 1996.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/33370-
dc.description.abstract對於用水網路考慮所有可能用水管線,建立超結構,再透過數學規劃法,考慮所有變數之間的相關限制式,將設計轉換成混合整數非線性模式(Mixed Integer Non-Linear Programming, MINLP)來求得最適化解。接著將用水網路延伸為排程規劃問題,發展出同時考量排程及用水網路的最適化設計。本文中將舉出數個例子,例子中會考慮儲存槽存在與否,以及使用儲存槽時,分為單一和循環操作的情況,以及污水是否回收再利用的情形做分析比較。以此種超結構所建立之數學模式之下,也會以下列幾種情形的變化來做分析討論,例如濃度的改變,單元起始時間的改變﹒﹒﹒等。在考慮上述所有情況下所建立的混合整數非線性規劃問題來對純水的使用量作最適化之模擬設計。zh_TW
dc.description.abstractThis research aims at for water networks synthesis and scheduling optimization for batch operation. At first, a superstructure is built up to consider all the possible pipings in a network. A design problem is then formulated into a MINLP problem which considers al constraints. Then extending the water networks to a scheduling problem, developing the design which considers simultaneously the optimal water networks and optimal scheduling. The use of storage tanks will be considered in the examples, in which, cyclic operation and forbidding recycle will be taken into account. The mathematical model for the superstructure is discussed under various situations, such as changing concentration and changing starting time of the unit.
Finally, using this MINLP formulation to optimize fresh water in all the situation above mentioned.
en
dc.description.provenanceMade available in DSpace on 2021-06-13T04:36:57Z (GMT). No. of bitstreams: 1
ntu-95-R93524058-1.pdf: 2860761 bytes, checksum: ee5c4625aac2f88355b2a392ab73537a (MD5)
Previous issue date: 2006
en
dc.description.tableofcontents1 緒論 1
1.1 前言................................................1
1.2 水網路設計之發展說明................................2
1.3 批式與連續製程之比較................................2
1.4 時間表示法..........................................5
1.5 文獻回顧............................................5
1.6 研究動機與目的......................................7
1.7 組織章節............................................8
2 批式製程用水網路最適化之模式結構 11
2.1 模式建立之背景說明..................................11
2.2 模式建立之基本假設條件..............................11
2.3 模式建立之圖解說明..................................14
2.4 模式之符號、系統參數與系統變數
(Indices, Sets, Parameters, and Variables)..........16
2.4.1 指標符號說明(Indices).........................16
2.4.2 集合說明(Sets)................................17
2.4.3 系統參數(Parameters)..........................17
2.4.4 系統變數(Variables)...........................18
2.5 限制式(Constraints).................................20
2.5.1 製程用水單元中流量平衡與溶質平衡(Water/Solute Balances).................................................20
2.5.2 中間儲存槽中流量平衡與溶質平衡(Water/Solute Balances).................................................23
2.5.3 再生再循環水流的排除(Elimination of Regeneration Recycling)...................................25
2.5.4 製程時間規劃(Scheduling)......................27
2.6 目標函數(Objectives)................................28
2.6.1 目標函數(1): 最少的供應水流量(Objective Function(1): Minimum Supply Water)................................28

3 批式製程用水網路最適化設計:情境模擬 29
3.1 最適化軟體..........................................30
3.2 例一之情境模擬......................................30
3.2.1 例一模式之模擬結果分析與討論..................31
3.3 例二之情境模擬......................................36
3.3.1 例二之模擬結果分析與討論......................37
3.4 例三之情境模擬......................................40
3.4.1 例二之模擬結果分析與討論......................41
4 批式製程之排程規劃與用水網路最適化之模式建構 47
4.1 排程模式建立之說明..................................47
4.2 排程模式建立........................................48
4.2.1 目標函數(2):最短的整體操作時間(Objective Function(2): Minimum Operating Time)......................48
4.3 例四之情境模擬......................................49
4.3.1 例四之模擬結果分析與討論......................50
4.4 例五之情境模擬......................................54
4.4.1 例五之模擬結果分析與討論......................55
4.5 例六之情境模擬......................................59
4.5.1 例六之模擬結果分析與討論......................60
5 結論與未來展望 67
5.1 結論................................................67
5.2 未來展望............................................68
參考文獻 69
作者簡歷..................................................73
dc.language.isozh-TW
dc.subject用水網路zh_TW
dc.subject批式製程zh_TW
dc.subject最適化zh_TW
dc.subjectwater networken
dc.subjectschedulingen
dc.subjectbatchen
dc.title批式製程用水網路與排程規劃最適化設計之研究zh_TW
dc.titleWater Networks Design and Scheduling Optimization for Batch Plantsen
dc.typeThesis
dc.date.schoolyear94-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃孝平,余政靖,林顯聖,陳文智
dc.subject.keyword批式製程,用水網路,最適化,zh_TW
dc.subject.keywordbatch,water network,scheduling,en
dc.relation.page73
dc.rights.note有償授權
dc.date.accepted2006-07-19
dc.contributor.author-college工學院zh_TW
dc.contributor.author-dept化學工程學研究所zh_TW
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