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Chemical and Bio-Process Control

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Can become a technical 'Top Gun' ... There is a shortage of experienced process control engineers. ... Many times involves controlling against constraints. ... – PowerPoint PPT presentation

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Title: Chemical and Bio-Process Control


1
Chemical and Bio-Process Control
  • James B. Riggs
  • M. Nazmul Karim

2
Chapter 1
  • Introduction

3
A Career in Process Control
  • Requires that engineers use all of their chemical
    engineering training (i.e., provides an excellent
    technical profession that can last an entire
    career)
  • Can become a technical Top Gun
  • Allows engineers to work on projects that can
    result in significant savings for their companies
    (i.e., provides good visibility within a company)

4
A Career in Process Control
  • Provides professional mobility. There is a
    shortage of experienced process control
    engineers.
  • Is a well paid technical profession for chemical
    engineers.

5
Chemical Process Industries (CPI)
  • Hydrocarbon fuels
  • Chemical products
  • Pulp and paper products
  • Agrochemicals
  • Man-made fibers

6
Bio-Process Industries
  • Use micro-organisms to produce useful products
  • Pharmaceutical industry
  • Ethanol from grain industry

7
Importance of Process Control for the CPI
  • PC directly affects the safety and reliability of
    a process.
  • PC determines the quality of the products
    produced by a process.
  • PC can affect how efficient a process is
    operated.
  • Bottom Line PC has a major impact on the
    profitability of a company in the CPI.

8
Safety and Reliability
  • The control system must provide safe operation
  • Alarms, safety constraint control, start-up and
    shutdown.
  • A control system must be able to absorb a
    variety of disturbances and keep the process in a
    good operating region
  • Thunderstorms, feed composition upsets, temporary
    loss of utilities (e.g., steam supply), day to
    night variation in the ambient conditions

9
Benefits of Improved Control
Old Controller
10
Benefits of Improved Control
Old Controller
New Controller
11
Better Control Means Products with Reduced
Variability
  • For many cases, reduced variability products are
    in high demand and have high value added (e.g.,
    feedstocks for polymers).
  • Product certification procedures (e.g., ISO 9000)
    are used to guarantee product quality and place a
    large emphasis on process control.

12
Benefits of Improved Control
Old Controller
New Controller
Improved Performance
13
Maximizing the Profit of a Plant
  • Many times involves controlling against
    constraints.
  • The closer that you are able to operate to these
    constraints, the more profit you can make. For
    example, maximizing the product production rate
    usually involving controlling the process against
    one or more process constraints.

14
Constraint Control Example
  • Consider a reactor temperature control example
    for which at excessively high temperatures the
    reactor will experience a temperature runaway and
    explode.
  • But the higher the temperature the greater the
    product yield.
  • Therefore, better reactor temperature control
    allows safe operation at a higher reactor
    temperature and thus more profit.

15
Importance of Process Control for the Bio-Process
Industries
  • Improved product quality.
  • Faster and less expensive process validation.
  • Increased production rates.

16
Driving a Car An Everyday Example of Process
Control
  • Control Objective (Setpoint) Maintain car in
    proper lane.
  • Controlled variable- Location on the road
  • Manipulated variable- Orientation of the front
    wheels
  • Actuator- Drivers arms/steering wheel
  • Sensor- Drivers eyes
  • Controller- Driver
  • Disturbance- Curve in road

17
Logic Flow Diagram for a Feedback Control Loop
18
Temperature Control for a Heat Exchanger ChE
Control Example
19
Heat Exchanger Control
  • Controlled variable- Outlet temperature of
    product stream
  • Manipulated variable- Steam flow
  • Actuator- Control valve on steam line
  • Sensor- Thermocouple on product stream
  • Disturbance- Changes in the inlet feed temperature

20
DO Control in a Bio-Reactor
21
DO Control
  • Controlled variable- the measured dissolved O2
    concentration
  • Manipulated variable- air flow rate to the
    bio-reactor
  • Actuator- variable speed air compressor
  • Sensor- ion-specific electrode in contact with
    the broth in the bio-reactor
  • Disturbance- Changes in the metabolism of the
    microorganisms in the bio-reactor

22
Logic Flow Diagram for a Feedback Control Loop
23
Comparison of Driving a Car and Control of a Heat
Exchanger
  • Actuator Drivers arm and steering wheel vs.
    Control valve
  • Controller the driver vs. an electronic
    controller
  • Sensor the drivers eyes vs. thermocouple
  • Controlled variable cars position on the road
    vs. temperature of outlet stream

24
The key feature of all feedback control loops is
that the measured value of the controlled
variable is compared with the setpoint and this
difference is used to determine the control
action taken.
25
In-Class Exercise
  • Consider a person skiing down a mountain.
    Identify the controller, the actuator, the
    process, the sensor and the controlled variable.
    Also, indicate the setpoint and potential
    disturbances. Remember that the process is
    affected by the actuator to change the value of
    the controlled variable.

26
Types of Feedback Controllers
  • On-Off Control- e.g., room thermostat
  • Manual Control- Used by operators and based on
    more or less open loop responses
  • PID control- Most commonly used controller.
    Control action based on error from setpoint
    (Chaps 6-8).
  • Advanced PID- Enhancements of PID ratio,
    cascade, feedforward (Chaps 9-11).
  • Model-based Control- Uses model of the process
    directly for control (Chap 13).

27
Duties of a Control Engineer
  • Tuning controllers for performance and
    reliability (Chap 7)
  • Selecting the proper PID mode and/or advanced PID
    options (Chap 6, 10-12)
  • Control loop troubleshooting (Chap 2 8)
  • Multi-unit controller design (Chap 14)
  • Documentation of process control changes

28
Characteristics of Effective Process Control
Engineers
  • Use their knowledge of the process to guide their
    process control applications. They are process
    control engineers.
  • Have a fundamentally sound picture of process
    dynamics and feedback control.
  • Work effectively with the operators.

29
Operator Acceptance
  • A good relationship with the operators is a
    NECESSARY condition for the success of a control
    engineer.
  • Build a relationship with the operators based on
    mutual respect.
  • Operators are a valuable source of plant
    experience.
  • A successful control project should make the
    operators job easier, not harder.

30
Process Control and Optimization
  • Control and optimization are terms that are many
    times erroneously interchanged.
  • Control has to do with adjusting flow rates to
    maintain the controlled variables of the process
    at specified setpoints.
  • Optimization chooses the values for key setpoints
    such that the process operates at the best
    economic conditions.

31
Optimization and Control of a CSTR
32
Optimization Example
33
Economic Objective Function
  • VB gt VC, VA, or VAF
  • At low T, little formation of B
  • At high T, too much of B reacts to form C
  • Therefore, the exits an optimum reactor
    temperature, T

34
Optimization Algorithm
  • 1. Select initial guess for reactor temperature
  • 2. Evaluate CA, CB, and CC
  • 3. Evaluate F
  • 4. Choose new reactor temperature and return to 2
    until T identified.

35
Graphical Solution of Optimum Reactor
Temperature, T
36
Process Optimization
  • Typical optimization objective function, F
    F Product values-Feed costs-Utility costs
  • The steady-state solution of process models is
    usually used to determine process operating
    conditions which yields flow rates of products,
    feed, and utilities.
  • Unit costs of feed and sale price of products are
    combined with flows to yield F
  • Optimization variables are adjusted until F is
    maximized (optimization solution).

37
Generalized Optimization Procedure
38
Optimization and Control of a CSTR
39
In-Class Exercise
  • Identify an example for which you use
    optimization in your everyday life. List the
    degrees of freedom (the things that you are free
    to choose) and clearly define the process and how
    you determine the objective function.

40
Overview of Course Material
  • Control loop hardware (Chap 2)
  • Dynamic modeling (Chap 3)
  • Transfer functions and idealized dynamic behavior
    (Chap 4-6)
  • PID controls (Chap 7-10)
  • Advanced PID controls (Chap 12-14)
  • Control of MIMO processes (Chap 15-18)

41
Fundamental Understanding and Industrially
Relevant Skills
  • Fundamental Understanding-
  • Laplace tranforms and transfer functions (Ch 4-5)
  • Idealized dynamic behavior (Ch 6)
  • Frequency response analysis (Ch 11)
  • Industrially Relevant Skills-
  • Control hardware and troubleshooting (Ch 210)
  • Controller Implementation and tuning (Ch 7-9)
  • Advanced PID techniques (Ch 12-14)
  • MIMO control (Ch 15-18)

42
Process Control Terminology
  • Important to be able to communicate with
    operators, peers, and boss.
  • New terminology appears in bold in the text
  • New terminology is summarized at the end of each
    chapter.
  • Review the terminology regularly in order to keep
    up with it.

43
Overall Course Objectives
  • Develop the skills necessary to function as an
    industrial process control engineer.
  • Skills
  • Tuning loops
  • Control loop design
  • Control loop troubleshooting
  • Command of the terminology
  • Fundamental understanding
  • Process dynamics
  • Feedback control

44
Overview
  • All feedback control loops have a controller, an
    actuator, a process, and a sensor where the
    controller chooses control action based upon the
    error from setpoint.
  • Control has to do with adjusting flow rates to
    maintain controlled variables at their setpoints
    while for optimization the setpoints for certain
    controllers are adjusted to optimize the economic
    performance of the plant.
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