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CHE334 Instrumentation and Process Control (IPC) By Dr. Maria Mustafa Department of Chemical Engineering 1 Week 1 Chapter 1 Introduction to Inst and PC

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Page 1: IPC Lecture 1

CHE334 Instrumentation and

Process Control (IPC)

By Dr. Maria Mustafa

Department of Chemical Engineering

1

Week 1Chapter 1 Introduction to Inst and PC

Page 2: IPC Lecture 1

Main Topics

2

Chapter 1 An introduction to Instrumentation and

Process Control

Page 3: IPC Lecture 1

Unit Online

3

Unit description:

Describe principles and concepts related to process

control & instrumentation.

Applications

Definitions

Identifications

Page 4: IPC Lecture 1

Learning resources/

Textbooks: Lecture Notes

4

Recommended Textbooks

George Stephanopoulos, Chemical

Process Control : An introduction

to Theory and Practice , Economy

Edition

Page 5: IPC Lecture 1

5

Recommended Textbooks:

Dale E. Seborg, Duncan A.

Mellichamp Thomas F. Edgar,

Francis J. Doyle, Process

Dynamics and Control, John

Wiley,NewYork,2011

Page 6: IPC Lecture 1

Reference Book

Coulson & Richardson’s, Chemical Engineering, Vol 3, Third

Edition, 2006

W.L. Luyben, “Process modeling, Simulation and Control

for Chemical Engineers”, 2nd Edition, McGraw Hill, New

York, 1990.

D. Coughanowr, S. E. LeBlanc, “Process Systems Analysis

and Control”, McGraw-Hill Third Edition, Boston, 2009.

6

Page 7: IPC Lecture 1

Unit Outline

7

Assessment Information

First Sessional Test10%

Second Sessional Test 15%

Quizzes/Assignments 25%

Terminal Examination 50%

The minimum pass marks for each course shall be 50%. Students obtaining less than 50% marks in any course shall be deemed to have failed in that course.

Page 8: IPC Lecture 1

Any Questions?

8

Page 9: IPC Lecture 1

Chapter 1 Introduction

9

Learning Outcomes:

Describe principles and concepts related to process control &

instrumentation.

Definitions

Design Control Problems statements

Incentives/ Applications

Identifications

Page 10: IPC Lecture 1

Process Control

10

Control in process industries refers to the regulation

of all aspects of the process involved. in chemical

industry.

Page 11: IPC Lecture 1

Control Problem Design

11

In chemical engineering we have different chemical units

For example: Reactor, Distillation Column, Pumps

To constitute chemical plant, we have to assemble these

units

Objectives of chemical Plant

Input to chemical plant is raw material using different available

source of energy produce product in most economical way.

Page 12: IPC Lecture 1

Requirements Of Chemical Plant

Safety

Production specification

Environmental Regulations

Operational Constraints

Economics

12

Page 13: IPC Lecture 1

Control Problem Design

13

To meet these objectives, we need to satisfy requirement

Safety Rector which is designed to operate at 100 bar pressure, to maintain

this limit we need external intervention so that reactor operate below this limit

Production Specification

Quantity and Quality

Environmental Requirements /Regulations

There are number of federal laws which enforce to maintain environment. It is enforce to maintain the conc. of chemical in the effluent stream SO2 existed to the environment

Waste water returned to the environment

Page 14: IPC Lecture 1

14

Operational Constraints

Plant have certain Constraints inherent to operation

Distillation Column should not be flooded

Tanks should not overflow or go dry

Temperature of catalytic reactor should not exceed upper limit.

Economics

To control operating conditions to such a optimium level so

that we have minimum operating maximium profit etc

Page 15: IPC Lecture 1

Incentives or Applications of Process

Control

15

To meet all these requirement, an external intervention is required means we need to devise a control system

Three important issues which can be handled by control system

I. Influence of external disturbances

II. The Stability of chemical process

III. Performance of chemical Plant

Basic Aim of control system

I. To suppress Influence of external disturbances

II. To ensure the Stability of chemical process

III. To optimize the performance of chemical Plant

Page 16: IPC Lecture 1

Identification

Process, Problem, Process Variables

16

Page 17: IPC Lecture 1

Process

17

Process as used in the terms process control and

process industry, refers to the methods of changing or

refining raw materials to create end products.

Page 18: IPC Lecture 1

Process Control

18

Process control refers to the methods that are used to

control process variables when manufacturing a product.

Page 19: IPC Lecture 1

Goal of Process Control

19

Process engineers are often responsible for the safe and

satisfactory operation of chemical processes. As these

processes become larger scale and/or more complex,

the role of process automation becomes more and

more important.

Goal :

To learn how to develop, design and

tune controllers for the automated

operation of chemical processes.

Page 20: IPC Lecture 1

Process Control

20

Human Aided Control vs Automated Control

Page 21: IPC Lecture 1

Incentives of Chemical Process Control

21

Suppressing the influence of external disturbances

Ensuring of safety of Chemical Process

Optimizing the performance of a chemical process

Reduce Variability

Page 22: IPC Lecture 1

Suppressing the influence of

External Disturbances

22

Identify the variables

Develop Control Mechanism

Controlling the operation of Stirred Tank Heater

Example

Control Objectives 1. To keep temperature

at desired value.2. To keep volume or

level of the liquid in the tank at desired value

Page 23: IPC Lecture 1

Suppressing the influence of External

Disturbances

23

Expected Disturbance Input Variables ( Temperature, Flow rate)

Practical case input variable may change

So to maintain the temperature we have to design Control system

Page 24: IPC Lecture 1

Stirred Tank Heater

24Fs

Fi, Ti

h

F, T

T

Q

Page 25: IPC Lecture 1

Control Mechanism

25

Fst

Fi, Ti

h

F, T

T

Q

Thermocouples

Controller

SetPoint

T-+ e

e> 0 , more steam is

required

e< 0 , less steam is

required

Page 26: IPC Lecture 1

Ensure Stability of a Chemical

Process

26

“X” returns automatically to

steady state / desired state

Response of Unstable process

Required external Intervention

to Time

X

to Time

X

AB

c

• “X” returns automatically to

steady state / desired state

• Response of stable process; Self-

regulating

• No external intervention required

External

Disturbanc

e

X = T , CA

X is disturbed at t = to

External

Disturbanc

e

Page 27: IPC Lecture 1

Case Study

Controlling the Operation of Unstable

Reactor

27

CSTR with Cooling Jacket

cA, Ti, Fi

Tci, Fc

Tco, Fc

cA T, F

A B ( exothermic reaction)

Page 28: IPC Lecture 1

28

Page 29: IPC Lecture 1

Optimize the Performance of a Chemical

Process

29

After achieving main objective

Safety

Production Specifications

Optimize the Performance of a Chemical Process

Page 30: IPC Lecture 1

Case Study II

Optimizing the performance of Batch

Reactor

30

cA, Ti, FiStream

Controller

Condenser

30

A B C (endothermic reaction)Reaction1 2

Desired undesired

Page 31: IPC Lecture 1

Optimizing the performance of Batch

Reactor

Q

Qmin

Qmax

tr Time

Steam flow rate

0

Minimium utilization

Maximum utilization

Page 32: IPC Lecture 1

Classification of Variables

Variables that are extensively used in the Process Control

Varibles

Input

Disturbance/Load VARIALE

Manu plated or adjustable /control

variable

Output

Measured Variable/controlled

Vriable

Unmeasured d Variables

Page 33: IPC Lecture 1

Common Terminologies

Process Variables: Conditions of process fluid that can

change manufacturing process in someway.

Input variable which denotes the effect of the

surroundings on the chemical Process.

Output Variable which denote the effect of the

chemical process on the surroundings.

Input Variables

Manipulated Variables

Disturbances

Output Variables

Measured Output

Unmeasured Output

Page 34: IPC Lecture 1

Next Task

We will take different examples or case studies

We will select / indentify the variables

Page 35: IPC Lecture 1

Example of Liquid Tank

35

Fi

h

F

Controlled Varible : h

Input Variable

• Fi

Output Variables

• F (if not manipulated)

• V or h

Objective is to maintain the level of liquid in

tank “h”

Paring the CV and manuplated variable, which variable can be adjustable

CV MV

h Fi , F

Page 36: IPC Lecture 1

Example of Stirred Tank Heater

36

Fst

Fi, Ti

h

F, T

T

Q

Input Variable : Fi, Ti, Fst

Output Variables:

• F ( if not manipulated)

• V or h

• T

Objective is to maintain the level and

Temperature of liquid in tank i.e. “h” & “T”

CV MV

h Fi , F

T Fst

Page 37: IPC Lecture 1

F

Z

mB

mD

VB

DxD

BxB

R xD

Reboiler

Condenser

Reflux Drum

(Stephanopoulos, 1984)

Example of Distillation

CV MV loo

p

xD R 1

xB VB 2

mD D 3

mB B 4

Page 38: IPC Lecture 1
Page 39: IPC Lecture 1

Terminologies Control Configuration

A control configuration is the information structure that is used to connect the available measurements to the valuable manipulated variables.

Two types of CC SIS0 = single input –single output configuration ,

example controlling the level of the liquid in the tank

MIMO= multiple input – multiple out configuration = Example controlling the level and temperature of the liquid in the tank by changing output flow rate and steam flowrate.

Page 40: IPC Lecture 1

TerminologiesGeneral Type of Control Configuration

FeedBack Control Configuration Use the direct measurements of the controlled variable to adjust the manipulated variables. The control action is taken after the disturbances effect the controlled output variables.

Page 41: IPC Lecture 1

Control Configuration

Feedforward Control Configuration Use the direct measurements of the disturbances to adjust the manipulated variables: Objective is to keep output variable at desired value. It anticipates the control action to be taken.

Page 42: IPC Lecture 1

Control Configuration

Inferential Control Configuration: Uses secondary measurements ( because the controlled variables can not be measured ) to adjust the manipulated. The control objective is to keep the un measured controlled variable at desired levels.