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RISS 인기검색어
- 검색키워드
- 저자 : Gholamreza Zahedi (검색결과 3 건)
- 무료
- 기관 내 무료
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Simulation and optimization of ethanol amine production plant
Gholamreza Zahedi,Saeideh Amraei,Mazda Biglari 한국화학공학회 2009 Korean Journal of Chemical Engineering Vol.26 No.6
An industrial Ethanol Amine (EA) production plant was simulated and optimized. Due to lack of accurate reaction rate information, the first step involved obtaining reliable kinetic data from the SRI (Stanford Research Institute) industrial database and calculation using error minimization method. In the next step, by implementing the obtained reaction kinetics the whole plant was simulated using Hysys software. Simulation results were compared with the SRI data and showed that there is acceptable agreement between simulation and the measured industrial data. In the next step of study by applying the gradient search (GS) optimization technique the plant was optimized using: feeding ammonia to ethylene oxide (EO) molar ratio, water flow rate in the feed stream, and reactor temperature as optimization variables. Employing process profit as objective function the optimal operating conditions were found to be: ammonia to EO ratio of 5 (mol/mol), water flow rate of 52.59 kg mol/hr and reactor temperature of 85 ℃.
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A new vapor pressure equation for pure substances
Gholamreza Zahedi,Sasan Mohammadzadeh 한국화학공학회 2008 Korean Journal of Chemical Engineering Vol.25 No.6
A new simple equation for prediction of vapor pressure of pure substances is proposed. The equation which has the Clausius-Clapeyron (C-C) equation form consists of three parameters: critical temperature, critical pressure and normal boiling point. Experimental data for organic and inorganic substances have been used to calculate equation parameters in the boiling point ranges from 169.45 to 457.55 K and critical temperature ranges from 282.75 to 699.15 K. Comparison of proposed equation estimation results with experimental data shows that the new equation has minor average error. The new equation is also 68 percent more accurate than the C-C equation
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Fuzzy Logic Model for Deodorizer Troubleshooting in Palm Oil Refining
Intan Suhairi Salleh,Khairiyah Mohd-Yusof,Gholamreza Zahedi 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
Deodorizer failure roots from many sources that disrupting plant operation. A correct action for remedies during troubleshooting can save company time and profit. In this study based on real plant data, a fuzzy logic model was developed to troubleshoot the root cause of problem for deodorizer failure. An abnormality of deodorizer root cause of problem was monitored through normal condition baseline. In order to build the fuzzy troubleshooting system, the linguistic data was gathered by interviewing palm oil refining plant workers that included experienced plant operators, supervisors and executives. Numerical data were collected by reviewing Standard Operating Procedure (SOP), Process and Instrumentation Diagram (P&ID), plant manual, etc. Root cause of deodorizer failure was separated into seven categories: Fatty Acid Distillate (FAD), cooling tower, hotwell, sparging steam, High Pressure Boiler (HPB), other vacuum parameter and others. The proposed model was successfully able to predict the action needed for deodorizer failure. The model can be employed for training to inexperience workers and operators.
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