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Modeling, simulation and control of a methanol synthesis fixed-bed reactor
, Article Chemical Engineering Science ; Volume 60, Issue 15 , 2005 , Pages 4275-4286 ; 00092509 (ISSN) ; Baghmisheh, G. R ; Sharif University of Technology
2005
Abstract
In this paper, the dynamic behavior and control of the low pressure methanol synthesis fixed bed reactor have been investigated. For simulation purpose, a heterogeneous one-dimensional model has been developed. First, the reactor simulation is carried out under steady-state condition and the effects of several parameters such as shell temperature, feed composition (especially CO2 concentration) and recycle ratio on the methanol productivity and reactor temperature profile are investigated. Using the steady state model and a trained feedforward neural network that calculates the effectiveness factor, an optimizer which maximizes the reactor yield has been developed. Through the dynamic...
Intelligent Control of a Biodiesel Reactor
, M.Sc. Thesis Sharif University of Technology ; Shahrikhi, Mohammad (Supervisor) ; Vafa, Ehsan (Supervisor)
Abstract
Nowadays, due to increasing attention to produce a wide range of fuels through bioprocesses, in the present work, simulation and control of a continuous reactor to produce biodiesel from food-wastes has been addressed. In this regard, the transesterification reaction of triglyceride (a mixture of 10% (wt) Jatropha oil and 90% (wt) of edible oil residue) with methanol (6:1 molar ratio of methanol to oil) in the presence of 1% (wt) potassium hydroxide catalyst in a continuous stirred tank reactor has been simulated. For the control purposes, the bioreactor temperature and the product concentration have been controlled by manipulating heat duty and reactant feed flow rate, respectively. An...
Simulation of nuclear reactor core kinetics using multilayer 3-D cellular neural networks
, Article IEEE Transactions on Nuclear Science ; Volume 52, Issue 3 II , 2005 , Pages 719-728 ; 00189499 (ISSN) ; Ghofrani, M. B ; Lucas, C ; Sharif University of Technology
2005
Abstract
Different nonelectrical problems can be effectively modeled by their equivalent electrical circuit, using cellular neural network (CNN). Dynamics of such large scale systems with partial differential state equations can be simulated by this technique in real-time. In this paper, we described an originally derived method to model and solve nuclear reactor kinetic equations via multilayer CNN. We proposed an innovative method for online calculation of spatio-temporal distribution of the reactor core neutron flux. One of the main applications of the proposed approach can be development of a new hardware for online simulation and control of nuclear reactor core via very large scale integration...
Modeling, simulation and control of a tubular fixed-bed dimethyl ether reactor
, Article Chemical and Biochemical Engineering Quarterly ; Volume 24, Issue 4 , 2010 , Pages 415-423 ; 03529568 (ISSN) ; Shahrokhi, M ; Abedini, H ; Sharif University of Technology
2010
Abstract
This paper considers the modeling and control of a tubular fixed bed reactor with recycle stream for dimethyl ether (DME) production. For simulation purposes, a pseudo homogeneous model has been developed. By reactor simulation under steady state condition, effects of parameters such as feed rate, pressure and shell temperature are investigated. Using the steady state model, an optimizer that maximizes the reactor yield has been developed. For cooling the reactor, a steam drum that uses heat of reactions to produce steam was coupled with the reactor. Through dynamic simulation, system open loop response was obtained and two control loops were considered for controlling the reactor...