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Energy Plus & Open Studio Class
• Today, 5:45 PM
• Computer lab ECJ 3.402
• Instructor: Wesley Cole
ASHRAE Student Chapter Meeting
• Monday Nov 26th at 6pm
• ECJ 5.410
Lecture Objectives:
• Finish with common HVAC system configurations
• Discuss control systems
• Discuss the life cycle cost analysis
• Learn about empirical modeling
HVAC systems in eQUEST
Basic purpose of HVAC control
Daily, weekly, and seasonal swings make HVAC control challenging
Highly unsteady-state environment
Provide balance of reasonable comfort at minimum cost and energy
Two distinct actions:1) Switching/Enabling: Manage availability
of plant according to schedule using timers.
2) Regulation: Match plant capacity to demand
Basic Control loopExample: Heat exchanger control
– Modulating (Analog) control
air
water
Cooling coil
(set point temperature)
x
Cooling coil control valve
Position (x)
fluid
Electric (pneumatic) motor
Vfluid = f(x) - linear or exponential function
Volume flow rate
The control in HVAC system – only PI
dTTT
KTTKx
i
)()( measuredpointset measuredpointset
Proportional Integral
Proportionalaffect the slope
Integralaffect the shape after the first “bump”
Set point
Set point
value
Detail control system simulationMatLAB - Simulink
Control system simulation - take into account HVAC component behavior but focus more on control devices and stability of control scheme
Models integrated in HVAC System simulation Example:
Economizer (fresh air volume flow rate control)
mixing
damper
fresh air
T & RH sensors
recirc. air
Controlled device is damper
- Damper for the air - Valve for the liquids
HVAC Control
Economizer (fresh air volume flow rate control)
mixing
damper
fresh air
T & RH sensors
recirc. air
Controlled device is damper
- Damper for the air - Valve for the liquids
% fresh air
Minimum for ventilation
100%
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
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
Sequence of calculation in energy simulation modeling is different than sequence of operation !
We often assume perfect aromatic control
What are the reasons for energy simulations?
• System Development (research)
• Building design (evaluate different design solutions)
• Economic benefits
• Budget planning
Life Cycle Cost Analysis
• Engineering economics
Parameters in life cycle cost analysis
Beside energy benefits expressed in $,you should consider:
• First cost• Maintenance• Operation life• Change of the energy cost • Interest (inflation)• Taxes, Discounts, Rebates, other Government
measures
Example
• Using eQUEST analyze the benefits (energy saving and pay back period)
of installing
- low-e double glazed window
- variable frequency drive
in the school building in NYC
What are the reasons for energy simulations?
• System Development (research)
• Building design (evaluate different design solutions)
• Economic benefits
• Budget planning
For budget planning
5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 900
50
100
150
200
250
300
350
400
450
500
Q [t
on]
t [F]
Load vs. dry bulb temperature Measured for a building in Syracuse, NY
5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 900
50
100
150
200
250
300
350
400
450
500
Q=-11.33+1.2126*t
Q=-673.66+12.889*t
Q [t
on]
t [F]
8760
1i ii
ii
57 tif t889.1266.673
57 tif t126.133.11(Q
Model
Empirical model
8760
1i ii
ii
57 tif t889.1266.673
57 tif t126.133.11(Q
For average year use TMY2
=835890ton hour = 10.031 106 Btu