000111930 001__ 111930
000111930 005__ 20190316234033.0
000111930 0247_ $$2doi$$a10.1016/S0098-1354(01)00638-X
000111930 037__ $$aARTICLE
000111930 245__ $$aDynamic optimisation of small size wastewater treatment plants including nitrification and denitrification processes
000111930 269__ $$a2001
000111930 260__ $$c2001
000111930 336__ $$aJournal Articles
000111930 520__ $$aIn this paper, dynamic optimisation of small size wastewater treatment plants is studied. The problem is stated as a hybrid dynamic optimisation problem which is solved using a gradient-based method. The aeration policy which minimises the energy consumption and satisfies discharge requirements under specified constraints (process and physical constraints) is then determined. The comparison between usual rule-based control policies and optimised aeration strategies showed that the optimised aeration profiles lead to reductions of energy consumption of at least 30%.
000111930 6531_ $$aWastewater treatment
000111930 6531_ $$aDynamic optimisation
000111930 6531_ $$aAeration energy minimisation
000111930 700__ $$0240446$$aChachuat, Benoit$$g170203
000111930 700__ $$aRoche, Nicolas
000111930 700__ $$aLatifi, Razak
000111930 773__ $$j25$$k4-6$$q585-593$$tComputers and Chemical Engineering
000111930 8564_ $$s223828$$uhttps://infoscience.epfl.ch/record/111930/files/Chachuat_Roche_Latifi_01%28Comput_Chem_Eng%29.pdf$$zn/a
000111930 909C0 $$0252053$$pLA
000111930 909CO $$ooai:infoscience.tind.io:111930$$particle$$pSTI$$qGLOBAL_SET
000111930 937__ $$aLA-ARTICLE-2007-026
000111930 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000111930 980__ $$aARTICLE