Process Unit Control System Design
|
|
- Shona Cunningham
- 5 years ago
- Views:
Transcription
1 Process Unit Control System Design 1. Introduction 2. Influence of process design 3. Control degrees of freedom 4. Selection of control system variables 5. Process safety
2 Introduction Control system requirements» Safe operation» Satisfy environmental regulations» Stable plant operation» Satisfy specifications on product quality and production rate» Economic plant operation Control system design» Select controlled, manipulated and measured variables» Specify control structure and controller type» Select controller tuning parameters
3 Multivariable Control Strategies Multivariable processes» Multiple input and output variables» Requires multivariable control strategy Multiloop (decentralized) control» Manipulated inputs and controlled outputs are paired together» A controller is designed for each input/output pair» Simple to design and often provides satisfactory performance Multivariable control» Manipulated inputs and controlled outputs are not explicitly paired» All the inputs are used simultaneously to control all the outputs» Often necessary for processes with slow dynamics, strong variable interactions, and/or variable constraints
4 Influence of Process Design Process design» Invariably performed prior to control system design» Based on steady-state analysis» May produce processes that are very difficult to control dynamically Integrated process design and control» Dynamic operability considered during the process design stage» Currently a popular research topic» Starting to be practiced in industry
5 Heat Integration Increase interactions between columns Lose second column reboiler duty as a manipulated variable Increase interactions between units Introduces positive feedback Lose hot oil flow as a manipulated variable
6 Control Degrees of Freedom Process degrees of freedom (N F )» N F = N V - N E» N V = number of process variables» N E = number of independent model equations Control degrees of freedom (N FC )» N FC = number of process variables that can be independently controlled» N FC = N F - N D» N D = number of disturbance variables» N FC usually can be calculated as the number of independent material and energy flows that can be manipulated Feedback control usually does not change N FC
7 Distillation Column Example Manipulated variables: B, D, R, q c, q h N FC = 5 Controlled variables: x B, x D, h D, h B, P
8 Selection of Control System Variables Output variables» Measured variables variables that can be measured» Controlled variables usually a subset of the measured variables Input variables» Manipulated variables inputs that can be manipulated» Disturbance variables inputs that cannot be manipulated and are determined outside the control system Basic requirement» Number of manipulated variables must be greater than or equal to the number of controlled variables
9 Selection of Controlled Outputs All outputs that are not self-regulating must be controlled» Liquid level in a tank with outlet pump Select outputs that must be maintained within equipment and operating constraints» Polymer reactor temperature Select outputs that directly represent product quality or strongly affect product quality» Distillation column overhead product composition Select outputs that strongly interact with other output variables» Steam header pressure in steam generation unit Select outputs that have favorably steady-state and dynamic characteristics» Large steady-state gains, small time constants, and small time delays
10 Selection of Manipulated Inputs Select inputs that have large effects on controlled variables» Large steady-state gains and large input ranges Select inputs that rapidly affect the controlled outputs» Small time constants and small time delays Select inputs that directly (rather than indirectly) affect the controlled outputs» Condenser duty rather than reboiler duty for column overhead composition control Avoid selecting inputs that recycle disturbances» Flow rate of column product stream recycled to chemical reactor
11 Selection of Measured Variables Select measurements that are reliable and accurate» Stream temperature rather than composition Select measurements that exhibit sensitivity to the manipulated inputs» High purity distillation column tray temperature Select measurements that minimize time constants and time delays» Distillation column product composition measurement with gas chromatograph
12 Evaporator Example N FC = 3 Controlled outputs: h, x B, P Manipulated inputs: B (for h), D (for P), P s (for x B ) Measured variables: h, x B, P, B, D, P s
13 Evaporator Control System
14 Process Safety
15 Alarms and Interlocks
Overview of Control System Design
Overview of Control System Design General Requirements 1. Safety. It is imperative that industrial plants operate safely so as to promote the well-being of people and equipment within the plant and in
More informationOverview of Control System Design
Overview of Control System Design Introduction Degrees of Freedom for Process Control Selection of Controlled, Manipulated, and Measured Variables Process Safety and Process Control 1 General Requirements
More informationOverview of Control System Design
Overview of Control System Design Chapter 10 General Requirements 1. Safety. It is imperative that industrial plants operate safely so as to promote the well-being of people and equipment within the plant
More informationIndex Accumulation, 53 Accuracy: numerical integration, sensor, 383, Adaptive tuning: expert system, 528 gain scheduling, 518, 529, 709,
Accumulation, 53 Accuracy: numerical integration, 83-84 sensor, 383, 772-773 Adaptive tuning: expert system, 528 gain scheduling, 518, 529, 709, 715 input conversion, 519 reasons for, 512-517 relay auto-tuning,
More informationCONTROL OF MULTIVARIABLE PROCESSES
Process plants ( or complex experiments) have many variables that must be controlled. The engineer must. Provide the needed sensors 2. Provide adequate manipulated variables 3. Decide how the CVs and MVs
More informationregressing the vapor-liquid equilibrium data in Mathuni et al. and Rodriguez et al., respectively. The phase equilibrium data of the other missing pai
Plant-Wide Control of Thermally Coupled Reactive Distillation to Co-Produce Diethyl Carbonate and Propylene Glycol San-Jang Wang, Shueh-Hen Cheng, and Pin-Hao Chiu Abstract Diethyl carbonate is recognized
More informationMass Transfer Operations I Prof. Bishnupada Mandal Department of Chemical Engineering Indian Institute of Technology, Guwahati
Mass Transfer Operations I Prof. Bishnupada Mandal Department of Chemical Engineering Indian Institute of Technology, Guwahati Module - 5 Distillation Lecture - 5 Fractional Distillation Welcome to the
More informationThe dos and don ts of distillation column control
The dos and don ts of distillation column control Sigurd Skogestad * Department of Chemical Engineering Norwegian University of Science and Technology N-7491 Trondheim, Norway Abstract The paper discusses
More informationProcess Solutions. Process Dynamics. The Fundamental Principle of Process Control. APC Techniques Dynamics 2-1. Page 2-1
Process Dynamics The Fundamental Principle of Process Control APC Techniques Dynamics 2-1 Page 2-1 Process Dynamics (1) All Processes are dynamic i.e. they change with time. If a plant were totally static
More informationEnhanced Single-Loop Control Strategies (Advanced Control) Cascade Control Time-Delay Compensation Inferential Control Selective and Override Control
Enhanced Single-Loop Control Strategies (Advanced Control) Cascade Control Time-Delay Compensation Inferential Control Selective and Override Control 1 Cascade Control A disadvantage of conventional feedback
More informationShortcut Distillation. Agung Ari Wibowo, S.T., M.Sc Politeknik Negeri Malang Malang - Indonesia
Shortcut Distillation Agung Ari Wibowo, S.T., M.Sc Politeknik Negeri Malang Malang - Indonesia The use of separation column in HYSYS The column utilities in HYSYS can be used to model a wide variety of
More informationTHE DOS AND DON TS OF DISTILLATION COLUMN CONTROL
THE DOS AND DON TS OF DISTILLATION COLUMN CONTROL Sigurd Skogestad Department of Chemical Engineering, Norwegian University of Science and Technology, N-7491 Trondheim, Norway The paper discusses distillation
More informationControl of MIMO processes. 1. Introduction. Control of MIMO processes. Control of Multiple-Input, Multiple Output (MIMO) Processes
Control of MIMO processes Control of Multiple-Input, Multiple Output (MIMO) Processes Statistical Process Control Feedforward and ratio control Cascade control Split range and selective control Control
More informationThe dos and don ts of distillation column control
The dos and don ts of distillation column control Sigurd Skogestad * Department of Chemical Engineering Norwegian University of Science and Technology N-7491 Trondheim, Norway Abstract The paper discusses
More information3.1 Overview 3.2 Process and control-loop interactions
3. Multivariable 3.1 Overview 3.2 and control-loop interactions 3.2.1 Interaction analysis 3.2.2 Closed-loop stability 3.3 Decoupling control 3.3.1 Basic design principle 3.3.2 Complete decoupling 3.3.3
More informationSolutions for Tutorial 10 Stability Analysis
Solutions for Tutorial 1 Stability Analysis 1.1 In this question, you will analyze the series of three isothermal CSTR s show in Figure 1.1. The model for each reactor is the same at presented in Textbook
More informationSpring 2006 Process Dynamics, Operations, and Control Lesson 5: Operability of Processes
5.0 context and direction In esson 4, we encountered instability. We think of stability as a mathematical property of our linear system models. Now we will embed this mathematical notion within the practical
More informationImproved Identification and Control of 2-by-2 MIMO System using Relay Feedback
CEAI, Vol.17, No.4 pp. 23-32, 2015 Printed in Romania Improved Identification and Control of 2-by-2 MIMO System using Relay Feedback D.Kalpana, T.Thyagarajan, R.Thenral Department of Instrumentation Engineering,
More informationA Definition for Plantwide Controllability. Process Flexibility
A Definition for Plantwide Controllability Surya Kiran Chodavarapu and Alex Zheng Department of Chemical Engineering University of Massachusetts Amherst, MA 01003 Abstract Chemical process synthesis typically
More informationDesign and control of an ethyl acetate process: coupled reactor/column configuration
Journal of Process Control 15 (2005) 435 449 www.elsevier.com/locate/jprocont Design and control of an ethyl acetate process: coupled reactor/column configuration I-Lung Chien a, *, Yao-Pin Teng a, Hsiao-Ping
More informationSystems Engineering/Process Control L1
Systems Engineering/Process Control L1 What is Systems Engineering/Process Control? Graphical system representations Fundamental control principles Reading: Systems Engineering and Process Control: 1.1
More informationDESIGN OF AN ON-LINE TITRATOR FOR NONLINEAR ph CONTROL
DESIGN OF AN ON-LINE TITRATOR FOR NONLINEAR CONTROL Alex D. Kalafatis Liuping Wang William R. Cluett AspenTech, Toronto, Canada School of Electrical & Computer Engineering, RMIT University, Melbourne,
More informationApplication of Decomposition Methodology to Solve Integrated Process Design and Controller Design Problems for Reactor-Separator-Recycle Systems
Proceedings of the 9th International Symposium on Dynamics and Control of Process Systems (DYCOPS 2010), Leuven, Belgium, July 5-7, 2010 Mayuresh Kothare, Moses Tade, Alain Vande Wouwer, Ilse Smets (Eds.)
More informationDesign of Multivariable Neural Controllers Using a Classical Approach
Design of Multivariable Neural Controllers Using a Classical Approach Seshu K. Damarla & Madhusree Kundu Abstract In the present study, the neural network (NN) based multivariable controllers were designed
More informationProcess Classification
Process Classification Before writing a material balance (MB) you must first identify the type of process in question. Batch no material (mass) is transferred into or out of the system over the time period
More informationNovel Control Structures for Heterogeneous Reactive Distillation
A publication of CHEMICAL ENGINEERING TRANSACTIONS VOL. 69, 2018 Guest Editors: Elisabetta Brunazzi, Eva Sorensen Copyright 2018, AIDIC Servizi S.r.l. ISBN 978-88-95608-66-2; ISSN 2283-9216 The Italian
More informationGuide to Selected Process Examples :ili3g eil;]iil
Guide to Selected Process Examples :ili3g eil;]iil Because of the strong interplay between process dynamics and control perfor mance, examples should begin with process equipment and operating conditions.
More informationSystems Engineering/Process Control L1
Systems Engineering/Process Control L1 What is Systems Engineering/Process Control? Graphical system representations Fundamental control principles Reading: Systems Engineering and Process Control: 1.1
More informationCONTROL OF REACTIVE DISTILLATION COLUMNS FOR AMYL ACETATE PRODUCTION USING DILUTE ACETIC ACID
Journal of the Chinese Institute of Engineers, Vol. 9, No., pp. 39-33 () 39 CONTROL OF REACTIVE DISTILLATION COLUMNS FOR AMYL ACETATE PRODUCTION USING DILUTE ACETIC ACID Wan-Jen Hung, I-Kuan Lai, Shih-Bo
More informationINDUSTRIAL EXPERIENCE WITH HYBRID DISTILLATION PERVAPORATION OR VAPOR PERMEATION APPLICATIONS
INDUSTRIAL EXPERIENCE WITH HYBRID DISTILLATION PERVAPORATION OR VAPOR PERMEATION APPLICATIONS Mario Roza, Eva Maus Sulzer Chemtech AG, Winterthur, Switzerland; E-mails: mario.roza@sulzer.com, eva.maus@sulzer.com
More informationINTEGRATION OF DESIGN AND CONTROL FOR ENERGY INTEGRATED DISTILLATION
INTEGRATION OF DESIGN AND CONTROL FOR ENERGY INTEGRATED DISTILLATION Hongwen Li, Rafiqul Gani, Sten Bay Jørgensen CAPEC, Department of Chemical Engineering Technical University of Denmark, Lyngby, Denmark
More informationDynamics and Control of Energy Integrated Distillation Column Networks
200 American Control Conference Marriott Waterfront, Baltimore, MD, USA June 30-July 02, 200 ThA4.4 Dynamics and Control of Energy Integrated Distillation Column Networks Sujit S. Jogwar and Prodromos
More informationSummary for TEP 4215 E&P/PI
R S H U Summary for TEP 4215 E&P/PI Reactor System (R) Endothermic vs. Exothermic Reactions Equilibrium vs. Kinetics Temperature Dependence of Equilibrium Constants and Reaction Rates (Arrhenius) Reactors
More informationProcess Control Exercise 2
Process Control Exercise 2 1 Distillation Case Study Distillation is a method of separating liquid mixtures by means of partial evaporation. The volatility α of a compound determines how enriched the liquid
More informationFeedforward Control Feedforward Compensation
Feedforward Control Feedforward Compensation Compensation Feedforward Control Feedforward Control of a Heat Exchanger Implementation Issues Comments Nomenclature The inherent limitation of feedback control
More informationDistillation is a method of separating mixtures based
Distillation Distillation is a method of separating mixtures based on differences in their volatilities in a boiling liquid mixture. Distillation is a unit operation, or a physical separation process,
More informationSystems Engineering Spring Group Project #1: Process Flowsheeting Calculations for Acetic Anhydride Plant. Date: 2/25/00 Due: 3/3/00
10.551 Systems Engineering Spring 2000 Group Project #1: Process Flowsheeting Calculations for Acetic Anhydride Plant Date: 2/25/00 Due: 3/3/00 c Paul I. Barton, 14th February 2000 At our Nowhere City
More informationRELAY AUTOTUNING OF MULTIVARIABLE SYSTEMS: APPLICATION TO AN EXPERIMENTAL PILOT-SCALE DISTILLATION COLUMN
Copyright 2002 IFAC 15th Triennial World Congress, Barcelona, Spain RELAY AUTOTUNING OF MULTIVARIABLE SYSTEMS: APPLICATION TO AN EXPERIMENTAL PILOT-SCALE DISTILLATION COLUMN G. Marchetti 1, C. Scali 1,
More informationDistillation. Presented by : Nabanita Deka
Distillation OPTIMIZATION FOR MAXIMISATION Presented by : Nabanita Deka LPG department OIL INDIA LIMITED DATED-04.03.2011 Basics of mass transfer Mass transfer : Transfer of material from one homogeneous
More informationChE 6303 Advanced Process Control
ChE 6303 Advanced Process Control Teacher: Dr. M. A. A. Shoukat Choudhury, Email: shoukat@buet.ac.bd Syllabus: 1. SISO control systems: Review of the concepts of process dynamics and control, process models,
More informationSELECTION OF VARIABLES FOR REGULATORY CONTROL USING POLE VECTORS. Kjetil Havre 1 Sigurd Skogestad 2
SELECTION OF VARIABLES FOR REGULATORY CONTROL USING POLE VECTORS Kjetil Havre 1 Sigurd Skogestad 2 Chemical Engineering, Norwegian University of Science and Technology N-734 Trondheim, Norway. Abstract:
More informationFigure 4-1: Pretreatment schematic
GAS TREATMENT The pretreatment process consists of four main stages. First, CO 2 and H 2 S removal stage which is constructed to assure that CO 2 would not exceed 50 ppm in the natural gas feed. If the
More informationMulti-Input Multi-output (MIMO) Processes CBE495 LECTURE III CONTROL OF MULTI INPUT MULTI OUTPUT PROCESSES. Professor Dae Ryook Yang
Multi-Input Multi-output (MIMO) Processes CBE495 LECTURE III CONTROL OF MULTI INPUT MULTI OUTPUT PROCESSES Professor Dae Ryook Yang Fall 2013 Dept. of Chemical and Biological Engineering Korea University
More informationPlant Design LECTURE 8: REBOILER CIRCUIT DESIGN. Daniel R. Lewin Department of Chemical Engineering Technion, Haifa, Israel
054410 Plant Design LECTURE 8: REBOILER CIRCUIT DESIGN Daniel R. Lewin Department of Chemical Engineering Technion, Haifa, Israel Ref: Kern, R. Thermosyphon Reboiler Piping Simplified, Hydrocarbon Processing,
More informationDesign of Decentralised PI Controller using Model Reference Adaptive Control for Quadruple Tank Process
Design of Decentralised PI Controller using Model Reference Adaptive Control for Quadruple Tank Process D.Angeline Vijula #, Dr.N.Devarajan * # Electronics and Instrumentation Engineering Sri Ramakrishna
More informationOptimization of the Sulfolane Extraction Plant Based on Modeling and Simulation
Korean J. Chem. Eng., 17(6), 712-718 (2000) Optimization of the Sulfolane Extraction Plant Based on Modeling and Simulation Yu-Jung Choi, Tae-In Kwon and Yeong-Koo Yeo Department of Chemical Engineering,
More informationHeat Integration - Introduction
Heat Integration - Introduction Sub-Topics Design of Heat Exchanger Networks Selection of Utilities Ø Consumption and Production Correct Integration Ø Distillation and Evaporation Ø Heat Pumps Ø Turbines
More informationProcess Control, 3P4 Assignment 5
Process Control, 3P4 Assignment 5 Kevin Dunn, kevin.dunn@mcmaster.ca Due date: 12 March 2014 This assignment is due on Wednesday, 12 March 2014. Late hand-ins are not allowed. Since it is posted mainly
More informationIV Distillation Sequencing
IV Distillation Sequencing Outline 1. Basic Concepts of Distillation Sequence Design 2. Choice of Sequence and its Operating Pressure. 3. Performance of Distillation Column (Sieve tray and packed tower)
More informationNeural-based Monitoring of a Debutanizer. Distillation Column
Neural-based Monitoring of a Debutanizer Distillation Column L. Fortuna*, S. Licitra, M. Sinatra, M. G. Xibiliaº ERG Petroli ISAB Refinery, 96100 Siracusa, Italy e-mail: slicitra@ergpetroli.it *University
More informationCBE495 LECTURE IV MODEL PREDICTIVE CONTROL
What is Model Predictive Control (MPC)? CBE495 LECTURE IV MODEL PREDICTIVE CONTROL Professor Dae Ryook Yang Fall 2013 Dept. of Chemical and Biological Engineering Korea University * Some parts are from
More informationEvaluation of the Dynamics of a Distillation Column with Two Liquid Phases
A publication of 2029 CHEMICAL ENGINEERING TRANSACTIONS VOL. 32, 2013 Chief Editors: Sauro Pierucci, Jiří J. Klemeš Copyright 2013, AIDIC Servizi S.r.l., ISBN 978-88-95608-23-5; ISSN 1974-9791 The Italian
More informationConsistent inventory control
Consistent inventory control Elvira Marie B. Aske,, and Sigurd Skogestad, Department of Chemical Engineering, Norwegian University of Science and Technology, Trondheim, Norway Abstract Inventory or material
More informationSelf-consistent inventory control
Elvira Marie B. Aske,, and Sigurd Skogestad, Department of Chemical Engineering, Norwegian University of Science and Technology, Trondheim, Norway E-mail: skoge@ntnu.no Abstract Inventory or material balance
More informationEnhanced Single-Loop Control Strategies Chapter 16
Enhanced Single-Loop Control Strategies Chapter 16 1. Cascade control 2. Time-delay compensation 3. Inferential control 4. Selective and override control 5. Nonlinear control 6. Adaptive control 1 Chapter
More informationNon-square open-loop dynamic model of methyl acetate production process by using reactive distillation column
Non-square open-loop dynamic model of methyl acetate production process by using reactive distillation column Ahmad Misfa Kurniawan 1, Renanto Handogo 1,*, Hao-Yeh Lee 2, and Juwari Purwo Sutikno 1 1 Department
More informationHeterogeneous Azeotropic Distillation Operational Policies and Control
Heterogeneous Azeotropic Distillation Operational Policies and Control Claudia J. G. Vasconcelos * and Maria Regina Wolf-Maciel State University of Campinas, School of Chemical Engineering, Campinas/SP,
More informationSimulation of Butyl Acetate and Methanol Production by Transesterification Reaction via Conventional Distillation Process
Simulation of Butyl Acetate and Methanol Production by Transesterification Reaction via Conventional Distillation Process Nikhil V. Sancheti Department of Chemical Engineering L.I.T., Nagpur, Maharashtra,
More informationExperimental evaluation of a modified fully thermally coupled distillation column
Korean J. Chem. Eng., 27(4), 1056-1062 (2010) DOI: 10.1007/s11814-010-0205-8 RAPID COMMUNICATION Experimental evaluation of a modified fully thermally coupled distillation column Kyu Suk Hwang**, Byoung
More informationLecture 25: Manufacture of Maleic Anhydride and DDT
Lecture 25: Manufacture of Maleic Anhydride and DDT 25.1 Introduction - In this last lecture for the petrochemicals module, we demonstrate the process technology for Maleic anhydride and DDT. - Maleic
More informationRecovery of Aromatics from Pyrolysis Gasoline by Conventional and Energy-Integrated Extractive Distillation
17 th European Symposium on Computer Aided Process Engineering ESCAPE17 V. Plesu and P.S. Agachi (Editors) 2007 Elsevier B.V. All rights reserved. 1 Recovery of Aromatics from Pyrolysis Gasoline by Conventional
More informationModel Predictive Control Design for Nonlinear Process Control Reactor Case Study: CSTR (Continuous Stirred Tank Reactor)
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 7, Issue 1 (Jul. - Aug. 2013), PP 88-94 Model Predictive Control Design for Nonlinear Process
More informationChapter 4. Problem SM.7 Ethylbenzene/Styrene Column
Background Chapter 4. Problem SM.7 Ethylbenzene/Styrene Column In Problem SM.6 of the HYSYS manual, a modified form of successive substitution, called the Wegstein method, was used to close the material
More informationPROCESS CONTROL DESIGN PASI 2005
PROCESS CONTROL DESIGN PASI 25 Pan American Advanced Studies Institute Program on Process Systems Engineering August 16-25, 25, Iguazu Falls Thomas E. Marlin Department of Chemical Engineering And McMaster
More informationPlantwide Control of Chemical Processes Prof. Nitin Kaistha Department of Chemical Engineering Indian Institute of Technology, Kanpur
Plantwide Control of Chemical Processes Prof. Nitin Kaistha Department of Chemical Engineering Indian Institute of Technology, Kanpur Lecture - 41 Cumene Process Plantwide Control (Refer Slide Time: 00:18)
More informationMultivariable model predictive control design of reactive distillation column for Dimethyl Ether production
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Multivariable model predictive control design of reactive distillation column for Dimethyl Ether production To cite this article:
More informationCHBE320 LECTURE XI CONTROLLER DESIGN AND PID CONTOLLER TUNING. Professor Dae Ryook Yang
CHBE320 LECTURE XI CONTROLLER DESIGN AND PID CONTOLLER TUNING Professor Dae Ryook Yang Spring 2018 Dept. of Chemical and Biological Engineering 11-1 Road Map of the Lecture XI Controller Design and PID
More informationProcess Control, 3P4 Assignment 6
Process Control, 3P4 Assignment 6 Kevin Dunn, kevin.dunn@mcmaster.ca Due date: 28 March 204 This assignment gives you practice with cascade control and feedforward control. Question [0 = 6 + 4] The outlet
More informationMaterial Balances Chapter 6: Introduction to Material Balance Objectives:
Material Balances Chapter 6: Introduction to Material Balance Objectives: 1. Understand the features of process, system, open, closed, steady-state, and unsteady-state systems. 2. Express in words what
More informationThermodynamic Analysis and Hydrodynamic Behavior of a Reactive Dividing Wall Distillation Column 1. Introduction
Thermodynamic Analysis and Hydrodynamic Behavior of a Reactive Dividing Wall Distillation Column Fabricio Omar Barroso-Muñoz, María Dolores López-Ramírez, Jorge Gerardo Díaz-Muñoz, Salvador Hernández,
More informationDesign and analysis of the prototype of boiler for steam pressure control
Design and analysis of the prototype of boiler for steam pressure control Akanksha Bhoursae, 2 Jalpa Shah, 3 Nishith Bhatt Institute of Technology, Nirma University, SG highway, Ahmedabad-38248,India 3
More informationDESIGN AND CONTROL OF BUTYL ACRYLATE REACTIVE DISTILLATION COLUMN SYSTEM. I-Lung Chien and Kai-Luen Zeng
DESIGN AND CONTROL OF BUTYL ACRYLATE REACTIVE DISTILLATION COLUMN SYSTEM I-Lung Chien and Kai-Luen Zeng Department of Chemical Engineering, National Taiwan University of Science and Technology, Taipei
More informationCHEMICAL ENGINEERING
CHEMICAL ENGINEERING Subject Code: CH Course Structure Sections/Units Section A Unit 1 Unit 2 Unit 3 Unit 4 Unit 5 Unit 6 Section B Section C Section D Section E Section F Section G Section H Section I
More informationA Holistic Approach to the Application of Model Predictive Control to Batch Reactors
A Holistic Approach to the Application of Model Predictive Control to Batch Reactors A Singh*, P.G.R de Villiers**, P Rambalee***, G Gous J de Klerk, G Humphries * Lead Process Control Engineer, Anglo
More informationDYNAMIC SIMULATOR-BASED APC DESIGN FOR A NAPHTHA REDISTILLATION COLUMN
HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY Vol. 45(1) pp. 17 22 (2017) hjic.mk.uni-pannon.hu DOI: 10.1515/hjic-2017-0004 DYNAMIC SIMULATOR-BASED APC DESIGN FOR A NAPHTHA REDISTILLATION COLUMN LÁSZLÓ SZABÓ,
More informationEnergy and Energy Balances
Energy and Energy Balances help us account for the total energy required for a process to run Minimizing wasted energy is crucial in Energy, like mass, is. This is the Components of Total Energy energy
More informationCHEMICAL ENGINEERING II (MASTERY) Professor K. Li Dr. S. Kalliadasis Professor R. Kandiyoti
2 ND YEAR COURSE OBJECTIVES CHEMICAL ENGINEERING II (MASTERY) Professor K. Li Dr. S. Kalliadasis Professor R. Kandiyoti ChE.201 The aim of mastery in the 2 nd year is to further develop students ability
More informationChemical Reaction Engineering. Multiple Reactions. Dr.-Eng. Zayed Al-Hamamre
Chemical Reaction Engineering Multiple Reactions Dr.-Eng. Zayed Al-Hamamre 1 Content Types of Reactions Selectivity Reaction Yield Parallel Reactions Series Reactions Net Rates of Reaction Complex Reactions
More informationOptimizing Control of Petlyuk Distillation: Understanding the Steady-State Behavior
Optimizing Control of Petlyuk Distillation: Understanding the Steady-State Behavior Ivar J. Halvorsen and Sigurd Skogestad Abstract. Norwegian University of Science and Technology, Department of Chemical
More informationEngineering Models For Inferential Controls
Petrocontrol Leader in inferential control technology Engineering Models For Inferential Controls By Y Zak Friedman, PhD Principal consultant INTRODUCTION This paper describes a class of inferential control
More informationControl of reactive distillation process for production of ethyl acetate
Journal of Process Control 17 (2007) 363 377 www.elsevier.com/locate/jprocont Control of reactive distillation process for production of ethyl acetate Hao-Yeh Lee a, Hsiao-Ping Huang a, *, I-Lung Chien
More informationChemical Engineering 3P04 Process Control Tutorial # 1 Learning goals
Chemical Engineering 3P04 Process Control Tutorial # 1 Learning goals 1. Sensor Principles with the flow sensor example 2. The typical manipulated variable: flow through a conduit Sensors: We need them
More informationCHAPTER 6 CLOSED LOOP STUDIES
180 CHAPTER 6 CLOSED LOOP STUDIES Improvement of closed-loop performance needs proper tuning of controller parameters that requires process model structure and the estimation of respective parameters which
More informationMIMO Identification and Controller design for Distillation Column
MIMO Identification and Controller design for Distillation Column S.Meenakshi 1, A.Almusthaliba 2, V.Vijayageetha 3 Assistant Professor, EIE Dept, Sethu Institute of Technology, Tamilnadu, India 1 PG Student,
More informationProcess Modelling, Identification, and Control
Jan Mikles Miroslav Fikar Process Modelling, Identification, and Control With 187 Figures and 13 Tables 4u Springer Contents 1 Introduction 1 1.1 Topics in Process Control 1 1.2 An Example of Process Control
More informationEconomic Model Predictive Control Historical Perspective and Recent Developments and Industrial Examples
1 Economic Model Predictive Control Historical Perspective and Recent Developments and Industrial Examples Public Trial Lecture Candidate: Vinicius de Oliveira Department of Chemical Engineering, Faculty
More informationFDE 211 Material & Energy Balances. Instructor: Dr. Ilgin Paker Yikici Fall 2015
FDE 211 Material & Energy Balances Instructor: Dr. Ilgin Paker Yikici Fall 2015 Agenda Process classification General mass balance equation Basic functions of Processes Process Flow Diagram Degree of Freedom
More informationTemperature Control of Catalytic Cracking Process Using SCADA and PLC
International Journal of Advanced Research in Education & Technology (IJARET Vol. 4, Issue 2 (April - June 2017 ISSN : 2394-2975 (Online ISSN : 2394-6814 (Print Temperature Control of Catalytic Cracking
More informationOptimization and composition control of Distillation column using MPC
Optimization and composition control of Distillation column using M.Manimaran 1,A.Arumugam 2,G.Balasubramanian 3,K.Ramkumar 4 1,3,4 School of Electrical and Electronics Engineering, SASTRA University,
More informationThe exergy of asystemis the maximum useful work possible during a process that brings the system into equilibrium with aheat reservoir. (4.
Energy Equation Entropy equation in Chapter 4: control mass approach The second law of thermodynamics Availability (exergy) The exergy of asystemis the maximum useful work possible during a process that
More informationLecture 6: 3/2/2012 Material Balances
Lecture 6: 3/2/2012 Material Balances 1 Chapter 6: Introduction to Material Balance Objectives: 1. Understand the features of process, system, open, closed, steady-state, and unsteady-state systems. 2.
More informationA New Batch Extractive Distillation Operational Policy for Methanol Recovery
A publication of CHEMICAL ENGINEERING TRANSACTIONS VOL. 35, 2013 Guest Editors: Petar Varbanov, Jiří Klemeš, Panos Seferlis, Athanasios I. Papadopoulos, Spyros Voutetakis Copyright 2013, AIDIC Servizi
More informationDesign and Comparative Analysis of Controller for Non Linear Tank System
Design and Comparative Analysis of for Non Linear Tank System Janaki.M 1, Soniya.V 2, Arunkumar.E 3 12 Assistant professor, Department of EIE, Karpagam College of Engineering, Coimbatore, India 3 Associate
More informationDesign and Control Properties of Arrangements for Distillation of Four Component Mixtures Using Less Than N-1 Columns
D. M. MÉNDEZ-VALENCIA et al., Design and Control Properties of Arrangements, Chem. Biochem. Eng. Q. 22 (3) 273 283 (2008) 273 Design and Control Properties of Arrangements for Distillation of Four Component
More informationMass Transfer Operations I Prof. Bishnupada Mandal Department of Chemical Engineering Indian Institute of Technology, Guwahati
Mass Transfer Operations I Prof. Bishnupada Mandal Department of Chemical Engineering Indian Institute of Technology, Guwahati Module - 5 Distillation Lecture - 6 Fractional Distillation: McCabe Thiele
More informationComparison of distillation arrangement for the recovery process of dimethyl sulfoxide
Korean J. Chem. Eng., 24(3), 438-444 (2007) SHORT COMMUNICATION Comparison of distillation arrangement for the recovery process of dimethyl sulfoxide Jungho Cho and Dong Min Kim* Department of Chemical
More informationLocal Transient Model of a Pilot Plant Distillation Response
Volume 114 No. 11 2017, 277-287 ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version) url: http://www.ijpam.eu ijpam.eu Local Transient Model of a Pilot Plant Distillation Response Vinayambika
More informationSOFT SENSOR AS COMPOSITION ESTIMATOR IN MULTICOMPONENT DISTILLATION COLUMN
SOFT SENSOR AS COMPOSITION ESTIMATOR IN MULTICOMPONENT DISTILLATION COLUMN Claudio Garcia, Diogo R. P. Zanata Department of Telecommunications and Control, University of Sao Paulo, Brazil Av. Luciano Gualberto,
More informationEldridge Research Group
Eldridge Research Group Melissa Donahue Bailee Roach Jeff Weinfeld Colton Andrews Johannes Voggerneiter 1 Modeling of Multiphase Contactors with Computational Fluid Dynamics Dividing Wall Distillation
More informationPrinciples and Practice of Automatic Process Control
Principles and Practice of Automatic Process Control Third Edition Carlos A. Smith, Ph.D., P.E. Department of Chemical Engineering University of South Florida Armando B. Corripio, Ph.D., P.E. Gordon A.
More information