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Announcements • Next class is the course evaluation • Final project related additional office hours Tomorrow afternoon from 1 till 4 pm Thursday afternoon Friday by appointment

[PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

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Page 1: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Announcements

• Next class is the course evaluation • Final project related additional office hours

– Tomorrow afternoon from 1 till 4 pm – Thursday afternoon – Friday by appointment

Page 2: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Objectives

• Discuss the exam problems• Talk about final project report and presentation • Learn about automatic control

– PID and Control terminology – Sequence of operation– Control optimization

Page 3: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Project presentation • Timing: 10 minutes for presentation

Approximately 1 PowerPoint Slides per minuteFor example• Specify the project Provide some basic floor layout and input variable assumptions • Results (form calculation and manufacturer catalogs)• Disuses you system challenges and modifications related to your design solutions

• 3 minutes for Questions and Answers

• I will need you power point before the class– You can email it to me.

Page 4: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

HVAC automatic control

• Maintain environmental quality– Thermal comfort– Indoor air quality– Material protection

• Conserve energy• Protect equipment

Page 5: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Terminology

• Sensor– Measures quantity of

interest• Controller

– Interprets sensor data• Controlled device

– Changes based on controller output

Figure 2-13

Page 6: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

DirectClosed Loop or Feedback

IndirectOpen Loop or Feedforward

outdoor

Page 7: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

• Set Point – Desired sensor value

• Control Point– Current sensor value

• Error or Offset– Difference between control point and set point

Page 8: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Two-Position Control Systems

• Used in small, relatively simple systems• Controlled device is on or off

– It is a switch, not a valve• Good for devices that change slowly

Page 9: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Modulating Control SystemsExample: Heat exchanger control

– Modulating (Analog) control

air

water

Cooling coil

(set point temperature)

x

Page 10: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Modulating Control Systems• Used in larger systems• Output can be anywhere in operating range• Three main types

– Proportional– PI– PID

Position (x)

fluid

Electric (pneumatic) motor

Vfluid = f(x) - linear or exponential function

Volume flow rate

Page 11: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

The PID control algorithm

For our example of heating coil:

Proportional Integral Differential

time

Position (x)

constants

e(t) – difference between set point and measured value

dTTd

TKdTTTKTTKx di

)()()( measuredpointset

measuredpointset measuredpointset

Proportional(how much)

Integral(for how long)

Differential(how fast)

Position of the valve

Page 12: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Proportional Controllers

x is controller outputA is controller output with no error

(often A=0)Kis proportional gain constante = is error (offset)

)( measuredpointset TTKAx

measuredpointset TT

Page 13: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Stable systemUnstable system

Page 14: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Issues with P Controllers

• Always have an offset• But, require less tuning than other

controllers• Very appropriate for things that change

slowly– i.e. building internal temperature

Page 15: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Proportional + Integral (PI)

K/Ti is integral gain

If controller is tuned properly, offset is reduced to zero

Figure 2-18a

dTTTKTTKAxi

)()( measuredpointset measuredpointset

Page 16: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document
Page 17: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Issues with PI Controllers

• Scheduling issues• Require more tuning than for P• But, no offset

Page 18: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Proportional + Integral + Derivative (PID)

• Improvement over PI because of faster response and less deviation from offset– Increases rate of error correction as errors get larger

• But– HVAC controlled devices are too slow responding– Requires setting three different gains

Page 19: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Ref: Kreider and Rabl.Figure 12.5

Page 20: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

The control in HVAC system – only PI

dTTTKTTKxi

)()( measuredpointset measuredpointset

Proportional Integral

Proportionalaffect the slope

Integralaffect the shape after the first “bump”

Set point

Set point

value

Page 21: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

The Real World

• 50% of US buildings have control problems– 90% tuning and optimization– 10% faults

• 25% energy savings from correcting control problems

• Commissioning is critically important

Page 22: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Practical Details

• Measure what you want to control• Verify that sensors are working• Integrate control system components• Tune systems• Measure performance

Commission control systems

Page 23: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

HVAC ControlExample 1:Economizer (fresh air volume flow rate control)

mixing

damperfresh air

T & RH sensors

recirc. air

Controlled device is damper

- Damper for the air - Valve for the liquids

Page 24: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Economizer Fresh air volume flow rate control

mixing

damper

Fresh(outdoor) air

T & RH sensors

Recirc. air

% fresh air

Minimum for ventilation

100%

TOA (hOA)

enthalpy

Page 25: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Economizer – cooling regime

How to control the fresh air volume flow rate?

% fresh air

Minimum for ventilation

100%

If TOA < Tset-point → Supply more fresh air than the minimum required

The question is how much?

Open the damper for the fresh air

and compare the Troom with the Tset-point .

Open till you get the Troom = Tset-point

If you have 100% fresh air and your still need cooling use cooling coil.

What are the priorities: - Control the dampers and then the cooling coils or - Control the valves of cooling coil and then the dampers ?

Defend by SEQUENCE OF OERATION the set of operation which HVAC designer provides to the automatic control engineer

Page 26: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Economizer – cooling regime

Example of SEQUENCE OF OERATIONS:

If TOA < Tset-point open the fresh air damper the maximum position

Then, if Tindoor air < Tset-point start closing the cooling coil valve

If cooling coil valve is closed and T indoor air < Tset-point start closing the damper till you get T indoor air = T set-point Other variations are possible

Page 27: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

HVAC ControlExample 2:Dew point control (Relative Humidity control)

filterfan

cooling coil

heating coil

filter

mixing

damper fresh air

T & RH sensors

We either measure Dew Point directly or T & RH sensors substitute dew point sensor

Humidity generationHeat gains

We should supply air with lower humidity ratio (w) and lower temperature

Page 28: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Relative humidity control by cooling coil

TDP

Mixture

Cooling Coil

RoomSupply

Heating coil

Page 29: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Relative humidity control by cooling coil (CC)• Cooling coil is controlled by TDP set-point

if TDP measured > TDP set-point → send the signal to open more the CC valve

if TDP measured < TDP set-point → send the signal to close more the CC valve

cooling coil

heating coil

mixing

Fresh air

Tair & TDP sensors

Control valves

• Heating coil is controlled by Tair set-point

if Tair < Tair set-point → send the signal to open more the heating coil valve

if Tair > Tair set-point → send the signal to close more the heating coil valve

Page 30: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Sequence of operation(ECJ research facility)

Control logic:

Mixture in zone 1: IF (( TM<TSP) & (DPTM<DPTSP) ) heating and humidifying Heater control: IF (TSP>TSA) increase heating or IF (TSP<TSA) decrease heatingHumidifier: IF (DPTSP>DPTSA) increase humidifying or IF (DPTSP<DPTSA)

decrease humid.

Mixture in zone 2: IF ((TM>TSP) & (DPTM<DPTSP) ) cooling and humidifying Cool. coil cont.: IF (TSP<TSA) increase cooling or IF (TSP>TSA) decrease

coolingHumidifier: IF (DPTSP>DPTSA) increase humidifying or IF (DPTSP<DPTSA)

decrease hum.

Mixture in zone 3: IF ((DPTM>DPTSP) ) cooling/dehumidifying and reheatinCool. coil cont.: IF (DPTSP>DPTSA) increase cooling or IF (DPTSP<DPTSA)

decrease cooling Heater control: IF (TSP>TSA) increase heating or IF (TSP<TSA) decrease heating

Set Point (SP)

Mixture 2

Mixture 3

Mixture 1

DBTSP

DPTSP

Page 31: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Other examples for HVAC:

Heat recovery

Dual duct system

Page 32: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Other examples Thermal storage UTs CHP

Page 33: [PPT]HVAC Control Systems - University of Texas at Austin · Web viewTitle HVAC Control Systems Author Jeffrey Siegel Last modified by CFDprc1 Created Date 9/4/2001 6:13:16 PM Document

Thermal storage for adjustment production to

consumption