توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱New Method for Designing of Data Reconciliation Block in RTO System
نویسنده(ها): ، ، ،
اطلاعات انتشار: ششمین کنگره بین المللی مهندسی شیمی، سال
تعداد صفحات: ۹
In chemical processes, there are hundreds or thousands of variables. Measurement of such variables is always accompanied with errors. In this article, a new method is presented for dynamic and linear reconciliation of process data for real time optimization (RTO) of the process. In this method, a linear parameter model with constant structure is considered and then using input and output noisy data of process, system model parameters are estimated by a recursive estimator. To estimate model parameters online, recursive least square identification method is used. By using these parameters, errorless process data are generated through Kalman filter method. This method is implemented using Simulink tool box and Matlab software package. In this study, a rigorous model for the demercaptanization distillate (DMD) process is developed using the commercial software, HYSYS. Data generated by a DMD Process simulation is used for evaluation of adaptive data reconciliation. First data is artificially contaminated to errors (white noise) in Simulink environment and then filtered by the proposed method. Comparison of the outlet data for the actual and filtered process data shows great improvement and the results obtained through the new technique are satisfactory by current standards.<\div>

۲Turbulence model inspection for hydrodynamics of naphtha catalytic reactors
اطلاعات انتشار: هفتمین کنگره ملی مهندسی شیمی، سال
تعداد صفحات: ۱۴
Some of the typical turbulence models were tested for Tehran refinery cat alytic reforming unit in order to find t he best model. Experim ent al dat a of pressure drop through the react ors was used for accuracy m easurem ent of applied models and somehow for validat ion of CFD results. Several runswith different turbulence models were established upon a unique geometry of the working system. Effects of additional import ant factors like wall roughness, w all functions, Y–plus on the flow field and t otal pressure drop were st udied as well. Am ong turbulence m odels test ed, it is found that theRSM model may be the best crude model to predict tot al pressure drop. Considering wall roughness, we found t hat the well–known standard k–ε model is also capable of estim ating pressure drop wit h acceptable confidence bound.<\div>
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