Announcements Next class is the course evaluation

Slides:



Advertisements
Similar presentations
Chapter 3. HVAC Delivery Systems
Advertisements

Chapter 12 HVAC Controls Pneumatic Control Systems • Air Compressor Stations • Transmitters and Controllers • Pneumatic Thermostats • Auxiliary Components.
Objectives Control Terminology Types of controllers –Differences Controls in the real world –Problems –Response time vs. stability.
Introduction Enthalpy Wheel
The Proportional-Integral-Derivative Controller
Chapter 7 PID Control.
Proportional/Integral/Derivative Control
Objectives Discuss Project Topics Learn to design VAV and DOAS System.
Lecture Objectives: Learn about automatic control Use life-cycle cost analysis integrated in eQUEST.
An intelligent VAV zoning system
Static Pressure Control Loop The purpose of the static pressure control loop is to maintain an optimal static pressure in the ductwork. The control loop.
Conditioning of Moist Air
Objectives Select project topics Review for exam Learn about DOAS systems.
Objectives Complete high-quality projects Understand expectations Control theory and design.
Important variables Water: Air: Conversion:
Announcements Midterm Project Prepare groups of 3 to 4 students You can submit the list at the end of next class Midterm Exam 03/09/10 - In class Exam:
Temperature Control Loop
Lecture Objectives: Specify Exam Time Finish with HVAC systems –HW3 Introduce Projects 1 & 2 –eQUEST –other options.
Course project presentation Thursday in class Timing: 4 minutes (strictly controlled) Approximately 1 PowerPoint Slides per minute Content Problem Introduction.
What is Control System? To answer this question, we first have to understand what a system is Simon Hui Engineer Control and Informatics, Industrial Centre.
Objectives Discus final project Load calculation.
Lecture Objectives: Clarify issues related to eQUEST –for midterm project Learn more about various HVAC - economizer - heat recovery Discuss about the.
Objectives More HVAC systems - Sorption (absorption) chillers
Objectives Discuss final project deliverables Control Terminology
Control Theory Control System Objectives  Establish a final condition  Provide safe operation  Eliminate the human element  Assure economical operation.
ERT 210/4 Process Control Hairul Nazirah bt Abdul Halim Office: CHAPTER 8 Feedback.
Final Project Presentation On Monday, same classroom at noon PowerPoint (5 minutes presentation) Upload the file before the class Approximately 6-7 slides.
Energy Plus & Open Studio Class
Objectives Finish DOAS Control Terminology Types of controllers
Final Projects Grading criteria is posted on the course website Preliminary results are due Next Tuesday Final Project delivery on Monday Dec. 7 th –Final.
Introduction to Energy Management. Week/Lesson 11 Control Systems for Occupant Comfort.
Introduction to Energy Management. Week/Lesson 13 Control Strategies for Occupant Comfort.
Control Loops Tune a Fish. Control Loops Tuning of a control loop involves selecting loop parameters to ensure stable control under all operating conditions.
Lecture Objectives: Introduce HW3 Learn about sorption chillers.
Lecture Objectives: Define the final project Deliverables and Grading policy Analyze factors that influence accuracy of our modeling study Learn about.
Lecture Objectives: Analyze several modeling problems –Examples from the final project list Economizer Solar collectors Phase change thermal storage materials.
Reminder about the Filed Trip Tomorrow 8 am St. Edward's University We will meet at 8:00 am at the south entrance of the new Science building (visitor.
Objectives Propose residential system related final project –Compare VAV systems with DOAS systems.
MISS. RAHIMAH BINTI OTHMAN
Field Trip Time: Tomorrow (Tuesday) 8 am Duration 1 hour (you will be back latest at 10 am) Location Texas State University: Round Rock
AIR CONDITIONING.
Lecture Objectives: Discuss HW4 Continue with advance air systems
We need to decide about the time for the final project presentation
Announcements End of the class – course evaluation
Controllers and Positioners
HVAC Basics Arkan Arzesh HVAC – Heating, Ventilation, Air-conditioning.
Lecture Objectives: Discus Final Project Learn about Solar Systems
Lecture Objectives: Answer questions related to HW 4
Announcement No project presentations !
Lecture Objectives: Finish with HVAC systems
Data Center Controls Mark Hydeman, P.E., FASHRAE Taylor Engineering, LLC
Lecture Objectives: Answer questions related to HW 4
Brian Wallingford, Applications Engineer
Announcement Field trips: Thursday 8 am on UT Campus (NMS building)
Project.
Lecture Objectives: Introduce HW3 Learn about sorption chillers.
Lecture Objectives: Discuss HW2
Psychrometry & Air-conditioning
Process Control Engineering
Objectives Finish duct systems Learn about plumbing systems
Control System Instrumentation
Features of PID Controllers
Objectives Learn about 1) Control for HVAC systems
Lecture Objectives: Discuss Projects 1 and 2
Announcement No project presentations !
FBE03: Building Construction & Science
Announcements Exam 1 Next Class (Thursday, March 14th):
Objective Revie the Cooling Cycle Learn about air distribution systems
Presentation transcript:

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

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

Project presentation Timing: 10 minutes for presentation Approximately 1 PowerPoint Slides per minute For 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.

HVAC automatic control Maintain environmental quality Thermal comfort Indoor air quality Material protection Conserve energy Protect equipment

Terminology Sensor Controller Controlled device Measures quantity of interest Controller Interprets sensor data Controlled device Changes based on controller output Figure 2-13

Direct Indirect outdoor Closed Loop or Feedback Open Loop or Feedforward

Set Point Control Point Error or Offset Desired sensor value Current sensor value Error or Offset Difference between control point and set point

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

Modulating Control Systems Example: Heat exchanger control Modulating (Analog) control air water Cooling coil x (set point temperature)

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

The PID control algorithm constants time e(t) – difference between set point and measured value Position (x) Proportional Integral Differential For our example of heating coil: Differential (how fast) Proportional (how much) Integral (for how long) Position of the valve

Proportional Controllers x is controller output A is controller output with no error (often A=0) Kis proportional gain constant e = is error (offset)

Unstable system Stable system

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

Proportional + Integral (PI) K/Ti is integral gain If controller is tuned properly, offset is reduced to zero Figure 2-18a

Issues with PI Controllers Scheduling issues Require more tuning than for P But, no offset

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

Ref: Kreider and Rabl.Figure 12.5

The control in HVAC system – only PI Proportional Integral value Set point Proportional affect the slope Set point Integral affect the shape after the first “bump”

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

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

HVAC Control Example 1: Economizer (fresh air volume flow rate control) Controlled device is damper - Damper for the air - Valve for the liquids fresh air damper mixing recirc. air T & RH sensors

Economizer Fresh air volume flow rate control % fresh air TOA (hOA) enthalpy 100% Fresh (outdoor) air TOA (hOA) Minimum for ventilation damper mixing Recirc. air T & RH sensors

Economizer – cooling regime How to control the fresh air volume flow rate? 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 % fresh air 100% Minimum for ventilation

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

HVAC Control Example 2: Dew point control (Relative Humidity control) fresh air damper filter cooling coil heating coil filter fan mixing T & RH sensors Heat gains Humidity generation We should supply air with lower humidity ratio (w) and lower temperature We either measure Dew Point directly or T & RH sensors substitute dew point sensor

Relative humidity control by cooling coil Mixture Room Supply TDP Heating coil

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 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 Control valves Fresh air mixing cooling coil heating coil Tair & TDP sensors

Sequence of operation (ECJ research facility) Set Point (SP) Mixture 2 Mixture 3 Mixture 1 DBTSP DPTSP 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 heating Humidifier: 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 cooling Humidifier: IF (DPTSP>DPTSA) increase humidifying or IF (DPTSP<DPTSA) decrease hum. Mixture in zone 3: IF ((DPTM>DPTSP) ) cooling/dehumidifying and reheatin Cool. coil cont.: IF (DPTSP>DPTSA) increase cooling or IF (DPTSP<DPTSA) decrease cooling

Other examples for HVAC: Heat recovery Dual duct system

Other examples Thermal storage UTs CHP

Thermal storage for adjustment production to consumption