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• W474285312 abstract "Cevresel sorunlara olan ilginin artmasi ile atik su aritim tesislerinin kontrolu ve uygun isletimi uzerine yapilan calismalarin onemi de artmistir. Yuzey sularindaki kirlenmenin denetim altina alinabilmesi buyuk oranda atik su aritim tesislerinin etkin yonetim ve isletimine baglidir. Bu calisma kapsaminda farkli aktif camur modelleri kullanilarak uc farkli inceleme gerceklestirilmistir. Ilk olarak aktif camur prosesinde cozunmus oksijen kontrolu icin kontrol stratejileri karsilastirmasi yapilmistir. Ikinci kisimda ardisik kesikli reaktorde proses cevrim suresinin optimizasyonu gerceklestirilmistir. Son kisimda ise ASM3C modeli kullanilarak konvansiyonel sistemde toplam azot ve cozunmus oksijen kontrolu yapilmistir.Aktif camur prosesi karmasik, dogrusal olmayan ve cok degiskenli bir yapiya sahiptir ve kontrolu zordur. Atik su aritma sisteminin iyi bir sekilde denetiminin gerceklestirilmesi icin etkin kontrol stratejileri kullanmak gerekir. Calismanin ilk kisminda aktif camur prosesi kullanilarak alti farkli kontrol stratejisi karsilastirilmistir. Bunlar, PID kontrol, Model Ongormeli Kontrol (MPC), Yapay Sinir Agi temelli Model Ongormeli Kontrol (NN-MPC), NARMA-L2 (Nonlinear Autoregressive-Moving Average) kontrol ve SQP (Sequential Quadratic Programming) kontroldur. Kontrol stratejileri set noktasini yakalama zamani, asma, IAE (Integral Absolute Error) ve ISE (Integral Square Error) performans kriterleri kullanilarak karsilastirilmistir. Elde edilen sonuclarda NARMA-L2 ve SQP kontrol stratejilerinin digerlerine gore daha iyi sonuclar verdigi gozlemlenmistir.Enerji kaynaklarinin tukenmesi ve cevresel sorunlara olan ilginin artmasi ile enerjinin verimli kullanimi ve atik su aritim tesislerinin daha ekonomik calistirilmasi hem akademik hem de endustriyel anlamda onem kazanmaktadir. Calismanin bu kisminda ardisik kesikli reaktorde (SBR) biyolojik atik su aritimi icin proses cevrim suresinin optimizasyonu gerceklestirilmis ve bu sayede toplam havalandirma suresi kisaltilarak enerji tasarrufu saglanmis ve sistem kapasitesi arttirilmistir. Sistemin tanimlanmasinda Aktif Camur Modeli (ASM3) ve Takacs cokme hizi modeli kullanilmistir. Cikis akisindaki kimyasal oksijen ihtiyaci (COD), askida kati madde ve cozunmus oksijen derisimleri sinir kosullari olarak alinmistir. Optimizasyon problemi SQP algoritmasi kullanilarak cozulmus; oksijen kutle aktarim hizi, besleme, havalandirma ve cokturme sureleri farkli senaryolar kullanilarak elde edilmistir. Bulunan sonuclar SBR reaktor kullanilan atik su aritim tesislerinin isletimi ve isletme maliyetlerinin azaltilmasi konularinda onemli ipuclari vermektedir.Yuksek organik karbon miktarina sahip asiri camurun uzaklastirilmasi sorunu biyolojik atik su aritim tesisleri icin her gecen gun daha da buyumektedir. Bu nedenle calismanin son kisminda ASM3-Karbon ile Takacs cokme hizi modeli konvansiyonel bir aktif camur prosesinin tanimlanmasinda kullanilmis ve atik camurdaki organik karbon derisimi hal degiskeni olarak elde edilmistir. Yapilan benzetim calismalari sonucunda organik karbon oraninin diger hal degiskenleri ile olan iliskisi elde edilmistir. Tanimlanan bu modele MPC ve SQP algoritmasi uygulanarak cozunmus oksijen ve toplam azot kontrolu gerceklestirilmistir. Kontrol calismasinin uzerine gelecekte eklenebilecek olan bir optimizasyon algoritmasi ile giris atik su degerleri ele alinarak ve atik camurdaki organik karbon derisimi sinirlama olarak kabul edilip sistemde gerekli olan set noktasi belirlenebilir.AbstractStudies mainly involving control and operations of wastewater treatment plant (WWTP) are gaining widespread interest due to increasing concern about environmental issues. Eliminating the pollution of surface waters mainly depends on effective control and operation of WWTPs. Stemming from this need, three simulation studies have been conducted within the context of process systems engineering in WWTPs.Activated sludge process involves complex physical, biological and chemical processes which exhibit non linear behaviour and thus controlling a wastewater treatment plant is a difficult task. In the first section of this study six control strategies; PID control, Model Predictive Control (MPC) with linear model, MPC with non-linear model, Nonlinear Autoregressive-Moving Average (NARMA-L2) control, Neural Network Model Predictive Control (NN-MPC) and optimal control with sequential quadratic programming (SQP) algorithm were comparatively evaluated via simulation of activated sludge wastewater treatment process. Controller performance assessment was based on rise time, overshoot, Integral Absolute Error (IAE) and Integral Square Error (ISE) performance criteria. It was concluded consequently that NARMA-L2 controller and optimal control with SQP would outperform the others in achieving the specified objective.As energy resources diminish and environmental concerns grow, energy efficient and economical operation of WWTPs receive increasing attention from academic as well as industrial standpoint. Optimization of batch cycle time in a sequencing batch reactor (SBR) for biological wastewater treatment process was carried out in the second part of this study in order to shorten the total operation time so that the cost of aeration be decreased and treatment capacity be increased while meeting the effluent discharge regulations. Activated Sludge Model (ASM3) and Takacs settling velocity model were used to describe the process, which involves three major period?s namely feeding, aeration and settling, followed by a withdrawal period. Chemical oxygen demand, suspended solid and dissolved oxygen concentrations in treated wastewater were taken into account as hard constraints in order to achieve the required treatment. Optimization problem was solved by a SQP strategy and optimal values of feeding time, aeration time, settling time, and oxygen mass transfer rate were determined for five different scenarios. The results obtained through simulations indicated that the use of process systems engineering tools such as described can provide very useful hints for considerable savings in operation time and cost of SBRs.High organic carbon content in the waste sludge being removed from the WWTPs gradually becomes a big problem as the amount of sludge accumulates around the treatment plants and regulations on solid disposal get stricter. In the attempt to tackle this problem, a conventional activated sludge system was described with ASM3-Carbon and Takacs settling velocity model in order to find the organic carbon in waste sludge as state variable. Relationship between the organic carbon in the waste sludge and the other parameters were found during the simulations. SQP and MPC algorithm were evaluated via simulation of activated sludge wastewater treatment process for dissolved oxygen and total nitrogen concentrations in the aeration tank. With using these results, in the future a new optimization algorithm can be added to the system in order to find the required set point value which is needed by the system." @default.
• W474285312 created "2016-06-24" @default.
• W474285312 creator A5070813155 @default.
• W474285312 date "2009-01-03" @default.
• W474285312 modified "2023-09-24" @default.
• W474285312 title "Atıksu arıtım tesislerinin model öngörmeli kontrolü" @default.
• W474285312 hasPublicationYear "2009" @default.
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