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活性污泥法脱氮除磷工艺优化设计的灵敏度分析 被引量:2

Sensitivity analysis on optimization design of activated sludge nutrient removal process
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摘要 以ASM2D为机理模型对活性污泥法脱氮除磷工艺进行优化设计,在满足出水水质标准的前提下,使总设计费用达到最低,对优化模型中的各种参数进行灵敏度分析。结果表明,不同种类参数的灵敏度差别很大,其中目标函数中各参数对结果影响最大,最大灵敏度达到-99.02%;进水组分、化学计量系数和动力学参数的最大灵敏度分别为16.06%、11.9%和7.60%。随着排放标准的下降,系统的总费用也随之减少。对优化设计中参数进行灵敏度分析可以得出一些重要参数对结果的影响程度,为参数校正和结果输出提供理论依据。 ASM2D was used as mechanism model for optimizing the activated sludge nutrient removal process. For minimizing the total design cost under the premise of meeting emission standards, the sensitivity of each parameter in the optimization model was analysed. The sensitivity of different parameters varies greatly, in which the objective function has the largest impact on the design results with a sensitivit value of -99. 02%. The maximum sensitivities of influent components, stoichiometric parameters an Y d kinetic parameters are 16. 06%, 11.9% and 7.60%, respectively. With the decline of emission standards, the total cost also will be reduced. Through sensitivity analysis in optimization design, the influence extent of important parameters on the optimization results can be obtained, which also provide theoretical bases for parameters calibrating and results outputing.
出处 《化工学报》 EI CAS CSCD 北大核心 2009年第12期3130-3136,共7页 CIESC Journal
基金 国家自然科学基金项目(20876117) 国家科技支撑计划项目(2006BAJ08B10 2008BAJ08B21)~~
关键词 活性污泥 总费用 优化设计 灵敏度分析 activated sludge total cost optimization design sensitivity analysis
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  • 1周雹,周丹,张礼文,于福海.活性污泥工艺的设计计算方法探讨[J].中国给水排水,2001,17(5):45-49. 被引量:30
  • 2Henze M, Gujer W, Mino T, van Loosdrecht M C M. Activated sludge models ASM1, ASM2, ASM2d, and ASM3: IWA Scientific and Technical Report No. 9[R]. London, UK: IWA Publishing, 2000.
  • 3Jolma A, Norton J. Methods of uncertainty treatment in environmental models. Environ. Model. Softw., 2005, 20:979-980.
  • 4Poch M, Comas J, Rodriguez-Roda I, Sanchez Marre M, Cortes U. Designing and building real environmental decision support systems. Environ. Model. Softw., 2004, 19: 857-873.
  • 5Martin C, Cardona C M, Salterain A, Ayesa E, Eguinoa I, Garcia-Sanz M. Uncertainty based calibration of a new river water model//the Seventh International Conference on Hydroinformatics (HIC2006). Nice, 2006.
  • 6Ni Bingjie, Yu Hanqing. An approach for modeling two- step denitrification in activated sludge systems. Chemical Engineering Science, 2008, 63:1449-1459.
  • 7Kleiber M, Antnez H, Hien T D, Kowalczyk P. Parameter Sensitivity in non-linear Mechanics: Theory and Finite Element Computations. New York: Wiley, 1997.
  • 8Tekitek M M, Bouzidi M, Dubois F, Lallemand P. Adjoint lattice Boltzmann equation for parameter identification. Comput. Fluids, 2006, 35:805-813.
  • 9Allen M, Weickum G, Maute K. Application of reduced or dermodels for the stochastic design optimization of dynamic systems//Proceedings of the 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Albany, NY, 2004:2004-4614.
  • 10Pang Zishan(庞子山).Study and application on optimum design model for activated sludge system processes [D]. Chongqing: Chongqing University, 2004.

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