Engineers Angela Vreeland and Gustav Brändström demonstrate common traps and tricks in dealing with trend data, along with detailed calculations that can be applied to a variety of energy saving measures.
AWS Community Day CPH - Three problems of Terraform
Energy Savings Calculations for Existing Building Commissioning
1. Welcome to the Webinar on
Energy Saving Calculations for
Existing Building Commissioning
We’ll start the presentation shortly.
Hover your cursor at the top of your screen to access the WebEx menu bar and open your
Chat window.
We will end with an open discussion, but feel free to ask clarifying or technical support
questions during the presentation through your Chat window.
Gustav Brändström, PE
Angela Vreeland, PE
February 19, 2013
2. Energy Saving Calculations for
Existing Building Commissioning
Gustav Brändström, PE
Angela Vreeland, PE
February 19, 2013
3. Agenda
Agenda
Introduction
Why use spreadsheet calculations?
Trending and Trend Data
TMY and Bin Data
Top Energy Saving Measures in EBCx
AHU Measure
Optimize Airside Economizer
Pump Measure
Install VFD on Hot Water Pump
Wrap-up
Questions
Page 3
4. Introduction
Why Use Spreadsheet Calculations?
Customizable for any application
Can be based on actual building operation
Applicable to multiple scenarios with little modification
TRAP: Do not double count savings! Remember to
include interactions between findings and equipment.
Scheduling > Controls changes > Retrofits
Central system > Major equipment > Terminal equipment
Page 4
5. Introduction
Why Use Spreadsheet Calculations?
Most 3rd party tools apply to specific scenarios
“Square peg in round hole”
All inputs must be re-entered for each case
Energy modeling is not economical for analysis of
individual equipment
Time-consuming
Not intent of modeling software
Page 5
6. Introduction
Trending and Trend Data
Trending – brief overview
The process of capturing time series data on equipment
operation
Data is exported from a Building Automation System (BAS)
or data loggers for spreadsheet analysis
Data set-up, collection, processing, and analysis are time
consuming
Allows us to understand how the equipment operates
See the Innovation Exchange’s Webinar on Trending titled:
Using Building Automation Systems as a Cx Tool
Page 6
7. Introduction
Trending and Trend Data
Why use trend data?
Trend data allows you to identify operational issues you
wouldn’t find otherwise.
Functional performance tests and other tools can’t capture all
modes of operation
Trend data allows you to more accurately calculate savings
Page 7
8. Introduction
TMY and Bin Data
Energy savings calculations are based on OAT
Typical Meteorological Year Weather Data
Normalized weather
Covers at least 15 year timeframe
Average and typical, not average
“Major” cities only
Get from NREL
http://www.nrel.gov/rredc/solar_data.html
Bin Data
Grouped or “binned” data
Increments vary depending on system characteristics
Outdoor temperature is typically put in 5 F bins
Used in most spreadsheet calculations
Page 8
9. Introduction
TMY and Bin Data
TRICK: AVERAGEIFS() and COUNTIFS() in Excel
These functions make creating bins out of data super easy!!
AVERAGEIFS() - Average value of a range, given criteria
COUNTIFS() - Number of occurrences in a range, given criteria
OAT Bins Avg OAT (F) Hours Hours ON
60 65 63.7 3 1.5
65 70 68.5 2.25 0.75
70 75 72.4 3.25 1.25
75 80 77.8 2 1.25
80 85 82.5 8.25 5.75
85 90 85.8 1.25 1.25
=AVERAGEIFS(Avg Range, CriteriaRange1, Criteria1, CriteriaRange2,Criteria2, …)
=AVERAGEIFS(OAT Column, OAT Column,">="&BinLL, OAT Column,"<"&BinUL)
Page 9
10. Agenda
Agenda
Introduction
Why use spreadsheet calculations?
Trending and Trend Data
TMY and Bin Data
Top Energy Saving Measures in EBCx
AHU Measure
Optimize Airside Economizer
Pump Measure
Install VFD on Hot Water Pump
Wrap-up
Questions
Page 10
11. AHU Measure
Top Energy Saving Measures in EBCx
Key Measure Mix % of Total Savings
Revise control sequence 21%
Reduce equipment runtime 15%
Optimize airside economizer 12%
Add/optimize SAT reset 8%
Add VFD to pump 6%
Reduce coil leakage 4%
Reduce/reset DSP setpoint 4%
Add/optimize optimum start/stop 3%
Add/optimize CWST reset 2%
Source: A Study on Energy Savings and Measure Cost Effectiveness of
Page 11 EBCx, PECI, 2009
12. AHU Measure
Optimize Airside Economizer
Four most common high limit control strategies
Fixed Drybulb Temperature- OAT
Differential Drybulb Temperature- OAT vs RAT
Fixed Enthalpy- OAh
Enthalpy is calculated from drybulb temperature and humidity
Differential Enthalpy- OAh vs RAh
Page 12 ???
13. AHU Measure
Optimize Airside Economizer
Economizers malfunction frequently
Stuck outside damper
Outside air (OA) flow measuring station error
Temperature or humidity
sensor out of calibration
Page 13
14. AHU Measure
Optimize Airside Economizer
Economizer control errors are common
Incorrect high and/or low limit setpoint
Incorrect minimum outside air setpoint
Lockout between economizer and mechanical cooling
Result in
A loss of “free cooling” opportunity
Increased cooling load
Increased heating load
Page 14
15. AHU Measure
Optimize Airside Economizer
How do we know if something is wrong?
Calculate the %OA
where:
OAT = Outside Air Temperature
RAT = Return Air Temperature
MAT = Mixed Air Temperature
Plot %OA against OAT and look at the pattern
Page 15
17. AHU Measure
Optimize Airside Economizer
Why should the high limit setpoint be ~70 F?
High limit of 71 F in MN was found to be ideal
Taylor Engineering Research
Best economizer control strategy is provided for each region
November 2010 ASHRAE Journal (Vol. 52, No. 11)
TRAP: Humidity Sensors are Error-Prone
Avoid enthalpy high limit control
Iowa Energy Center Research
http://www.iowaenergycenter.org/wp-
content/uploads/2012/05/PTR_Humidity_Rev.pdf
Page 17
18. AHU Measure
Optimize Airside Economizer Example
Finding (problem)
Economizer high limit lockout is 80 F
Measure (solution)
Change the lockout to 70 F
Page 18
19. - HIGH LIMIT TOO HIGH
Lower the High Limit Setpoint:
80°F to 70°F
Page 19
20. AHU Measure
Optimize Airside Economizer Example
Spreadsheet Calculation Layout
Reducing the high limit setpoint will lead to savings whenever
the outside air damper is open more than it should be
1 2 3
A B C D E F G H I J K L
Current Proposed
OAT Dry OAT OA OA OA OA
AHU On RAT Savings
Bulb Bin Dry Bulb OA OA Flow Cooling Cooling OA OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F % CFM kBtus kWh % CFM kBtus kWh kWh
60/64 62.6 321 70.8 67.9% 9,840 0 0 67.9% 9,840 0 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0 0
70/74 72.5 265 71.6 95.5% 13,847 3,400 340 10.0% 1,450 356 36 304
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263 1790
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422 347
85/89 87.8 152 72.0 10.0% 1,450 3,758 376 10.0% 1,450 3,758 376 0
90/94 91.9 54 73.0 10.0% 1,450 1,594 159 10.0% 1,450 1,594 159 0
2,442
Page 20
21. AHU Measure
Optimize Airside Economizer Example
1
A B C D EColumn A- OAT Bins
F G H I J K L
Current Proposed
OAT Dry OAT 5 F Bins OA OA OA OA
AHU On RAT
Bulb Bin Dry Bulb OA OA Flow Cooling Cooling OA OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F %Column B- Average OAT for Bin
CFM kBtus% kWh CFM kBtus kWh
60/64 62.6 321 70.8
Obtain from 0TMY Data
67.9% 9,840 0 67.9% 9,840 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0
70/74 72.5 265 71.6 Use AVERAGEIFS340
95.5% 13,847 3,400 10.0% 1,450 356 36
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422
85/89 87.8 152 72.0 Column C- Total Hours the AHU operates
10.0% 1,450 3,758 376 10.0% 1,450 3,758 376
90/94 91.9 54 73.0 10.0% during Bin
1,450 1,594 159 10.0% 1,450 1,594 159
Obtain from trends of SF Status or VFD Speed
and OAT
Use COUNTIFS
Page 21
22. AHU Measure
Optimize Airside Economizer Example
1
A B C D EColumn D- Average RAT during JBin
F G H I K L
Current Proposed
OAT Dry OAT Obtain from trendsOA RAT and OAT
OA
of OA OA
AHU On RAT
Bulb Bin Dry Bulb OA RAT vs OAT to see OA pattern
OA Plot Flow Cooling Cooling overall OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F
% Use AVERAGEIFS- Filter for when AHU is ON
CFM kBtus kWh % CFM kBtus kWh
60/64 62.6 321 70.8 67.9% 9,840 0 0 67.9% 9,840 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0
70/74 72.5 265 71.6 95.5% 13,847 3,400 340 10.0% 1,450 356 36
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422
85/89 87.8 152 72.0 10.0% 1,450 3,758 376 10.0% 1,450 3,758 376
90/94 91.9 54 73.0 10.0% 1,450 1,594 159 10.0% 1,450 1,594 159
Page 22
23. AHU Measure
Optimize Airside Economizer Example
Spreadsheet Calculation Layout
1 2 3
A B C D E F G H I J K L
Current Proposed
OAT Dry OAT OA OA OA OA
AHU On RAT Savings
Bulb Bin Dry Bulb OA OA Flow Cooling Cooling OA OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F % CFM kBtus kWh % CFM kBtus kWh kWh
60/64 62.6 321 70.8 67.9% 9,840 0 0 67.9% 9,840 0 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0 0
70/74 72.5 265 71.6 95.5% 13,847 3,400 340 10.0% 1,450 356 36 304
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263 1790
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422 347
85/89 87.8 152 72.0 10.0% 1,450 3,758 376 10.0% 1,450 3,758 376 0
90/94 91.9 54 73.0 10.0% 1,450 1,594 159 10.0% 1,450 1,594 159 0
2,442
Page 23
24. AHU Measure
Optimize Airside Economizer Example
2
A E F G H Column E- Average %OA during Bin
Current
OAT Dry
Obtain from trends of MAT, RAT, and
OA OA
Bulb Bin OA OA Flow Cooling Cooling OAT
Energy Input Plot %OA vs OAT to see overall pattern
F % CFM kBtus kWh
Use AVERAGEIFS- Filter for when AHU
60/64 67.9% 9,840 0 0
65/69 87.7% 12,712 0 0
is ON
70/74 95.5% 13,847 3,400 340
75/79 78.0% 11,307 20,534 2,053
80/84 18.2% 2,643 7,688 769
85/89 10.0% 1,450 3,758 376
90/94 10.0% 1,450 1,594 159
Page 24
25. AHU Measure
Optimize Airside Economizer Example
2
A E F G H Column F- OA Flow
Current
OAT Dry
Calculated using equation below
OA OA
Bulb Bin OA OA Flow Cooling Cooling SF Speed must be accounted for with
Energy Input variable volume AHUs
F % CFM kBtus kWh
60/64 67.9% 9,840 0 0
65/69 87.7% 12,712 0 0
70/74 95.5% 13,847 3,400 340
Column G- Cooling Energy
75/79 78.0% 11,307 20,534 2,053
80/84 18.2% 2,643 7,688 769 Energy required to cool OA
85/89 10.0% 1,450 3,758 376 Calculated using equation below
90/94 10.0% 1,450 1,594 159
Page 25
26. AHU Measure
Optimize Airside Economizer Example
2
A E F G H Column H- Cooling Input
Current
OAT Dry
Calculated using equation below
OA OA
Bulb Bin OA OA Flow Cooling Cooling
Energy Input
F % CFM kBtus kWh
60/64 67.9% 9,840 0 0
65/69 87.7% 12,712 0 0
70/74 95.5% 13,847 3,400 340
75/79 78.0% 11,307 20,534 2,053
80/84 18.2% 2,643 7,688 769
85/89 10.0% 1,450 3,758 376
90/94 10.0% 1,450 1,594 159
Page 26
27. AHU Measure
Optimize Airside Economizer Example
Spreadsheet Calculation Layout
1 2 3
A B C D E F G H I J K L
Current Proposed
OAT Dry OAT OA OA OA OA
AHU On RAT Savings
Bulb Bin Dry Bulb OA OA Flow Cooling Cooling OA OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F % CFM kBtus kWh % CFM kBtus kWh kWh
60/64 62.6 321 70.8 67.9% 9,840 0 0 67.9% 9,840 0 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0 0
70/74 72.5 265 71.6 95.5% 13,847 3,400 340 10.0% 1,450 356 36 304
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263 1790
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422 347
85/89 87.8 152 72.0 10.0% 1,450 3,758 376 10.0% 1,450 3,758 376 0
90/94 91.9 54 73.0 10.0% 1,450 1,594 159 10.0% 1,450 1,594 159 0
2,442
Page 27
28. AHU Measure
Optimize Airside Economizer Example
3
A I J K L Columns I thru L
Proposed
OAT Dry
Repeat the same analysis for
OA OA
Bulb Bin OA OA Flow Cooling Cooling Proposed Scenario
Energy Input Above 70 F, the %OA will drop to
F % CFM kBtus kWh
minimum position
60/64 67.9% 9,840 0 0
65/69 87.7% 12,712 0 0 Based on data at low OATs, the
70/74 10.0% 1,450 356 36 minimum %OA is 10%
75/79 10.0% 1,450 2,633 263
80/84 10.0% 1,450 4,218 422
85/89 10.0% 1,450 3,758 376
90/94 10.0% 1,450 1,594 159
Page 28
29. AHU Measure
Optimize Airside Economizer Example
A B C D E F G H I J K L
Current Proposed
OAT Dry OAT OA OA OA OA
AHU On RAT Savings
Bulb Bin Dry Bulb OA OA Flow Cooling Cooling OA OA Flow Cooling Cooling
Energy Input Energy Input
F F Hours F % CFM kBtus kWh % CFM kBtus kWh kWh
60/64 62.6 321 70.8 67.9% 9,840 0 0 67.9% 9,840 0 0 0
65/69 68.1 294 71.2 87.7% 12,712 0 0 87.7% 12,712 0 0 0
70/74 72.5 265 71.6 95.5% 13,847 3,400 340 10.0% 1,450 356 36 304
75/79 76.9 317 71.6 78.0% 11,307 20,534 2,053 10.0% 1,450 2,633 263 1790
80/84 82.1 284 72.6 18.2% 2,643 7,688 769 10.0% 1,450 4,218 422 347
85/89 87.8 152 72.0 10.0% 1,450 3,758 376 10.0% 1,450 3,758 376 0
90/94 91.9 54 73.0 10.0% 1,450 1,594 159 10.0% 1,450 1,594 159 0
2,442
Savings
2,442 kWh annually or $170 at 7¢/kWh
~10% of energy used to cool OA
No cost to implement
Page 29
30. AHU Measure
Optimize Airside Economizer
Summary
Economizers malfunction often, but fixing them is typically
very easy and cost-effective
Additional considerations….
Sometimes fixing the issue leads to more energy use
An AHU may economize at OATs as low as 20 or 30 F
The fewer sensors the economizer relies on, the better
Page 30
31. Agenda
Agenda
Introduction
Why use spreadsheet calculations?
Trending and Trend Data
TMY and Bin Data
Top Energy Saving Measures in EBCx
AHU Measure
Optimize Airside Economizer
Pump Measure
Install VFD on Hot Water Pump
Wrap-up
Questions
Page 31
32. Pump Measure
Top Energy Saving Measures in EBCx
Key Measure Mix % of Total Savings
Revise control sequence 21%
Reduce equipment runtime 15%
Optimize airside economizer 12%
Add/optimize SAT reset 8%
Add VFD to pump 6%
Reduce coil leakage 4%
Reduce/reset DSP setpoint 4%
Add/optimize optimum start/stop 3%
Add/optimize CWST reset 2%
Source: A Study on Energy Savings and Measure Cost Effectiveness of
Page 32 EBCx, PECI, 2009
33. Pump Measure
Install VFD on Hot Water Pump
Constant volume pumping is common in existing
buildings.
Hot water loops come in many variants; primary,
primary/secondary, primary/tertiary, etc.
Energy savings from reducing the pump speed
Opportunities exist when the
drop in temperature is low
Page 33
34. TRICK: Plot HW dT vs OAT. Example of low temperature drop
Design Loop dT = 48°F
Page 34
35. Pump Measure
Install VFD on Hot Water Pump
Constant volume pumping is common in existing
buildings.
Hot water loops come in many variants; primary,
primary/secondary, primary/tertiary, etc.
Energy savings from reducing the pump speed
Opportunities exist when the
drop in temperature is low, and/or
use in the AHUs are low.
Page 35
36. TRICK: Plot # of AHUs heating vs OAT. Example of Low use of heating at the AHUs
Page 36
37. Pump Measure
Install VFD on Hot Water Pump
Example
Finding (problem)
Secondary Hot Water Loop Pump runs excessively
Measure (solution)
Install VFD on 40hp Pump, close off three way valves, and install
differential pressure sensor
Page 37
47. Pump Measure
Install VFD on Hot Water Pump
Summary of Measure
Keep the pump running at as low of a speed as possible
TRICK: In conjunction with adding a VFD, look at the scheduling.
TRAP: If there are different modes of operation, account for them!
(Morning Warm-up, freeze protection, etc.)
SAVE LOTS OF ENERGY!
Implementation cost $29,000 (incl. commissioning)
Energy Savings $12,100
Simple Payback 2.4 years
Page 47
48. Agenda
Agenda
Introduction
Why use spreadsheet calculations?
Trending and Trend Data
TMY and Bin Data
Top Energy Saving Measures in EBCx
AHU Measure
Optimize Airside Economizer
Pump Measure
Install VFD on Hot Water Pump
Wrap-up
Questions
Page 48
49. Introduction
Target High Energy Savings Measures
Key Measure Mix % of Total
Savings
Revise control sequence 21%
TRICKs
Reduce equipment runtime 15%
Focus on:
• Large equipment (high Optimize airside economizer 12%
horsepower, tonnage, etc) Add/optimize SAT reset 8%
• Equipment that runs a lot Add VFD to pump 6%
Reduce coil leakage 4%
Do a test calculation:
Reduce/reset DSP setpoint 4%
• Estimate savings and costs
Add/optimize optimum 3%
• Is the payback reasonable?
start/stop
Add/optimize CWST reset 2%
Source: A Study on Energy Savings and Measure Cost
Effectiveness of EBCx, PECI, 2009
Page 49
50. Wrap-up
Resources
California Commissioning Collaborative
www.cacx.org
Better Bricks
www.betterbricks.com
Taylor Engineering
www.taylor-engineering.com
Portland Energy Conservation, Inc - PECI
www.peci.org
Page 50
51. Wrap-up
Conclusion
Trending
Invaluable tool
Identify operational issues
Calculate accurate energy savings
(and spreadsheets)
Spreadsheet Calculations
Straightforward
Flexible
Accurate
Worth the investment in development
Page 51
53. Energy Saving Calculations for
Existing Building Commissioning
Gustav Brändström, PE
Angela Vreeland, PE
February 19, 2013
Editor's Notes
State that we will have some time allotted for questions during the presentation and also at the end, so please reserve your questions for those times.
Interactions between energy saving measures are easily accounted forAHU EBCxSchedule changeRepair leaking valveReduce VAV box minimum flow setpoints
Thank you Gustav. As the agenda shows, we will be discussing two calculations today, one involving airside economizers and one on installing a variable frequency drive on a pump.
Shown here are the top energy saving measures in existing building commissioning from a study conducted by PECI.The measures we will be covering today are starred and we chose these measures because we have encountered them frequently in our work and from our experience, they tend to result in significant energy savings with attractive paybacks.
So I will start by giving some background on economizers- how they are controlled and some common problems they have. Then I will follow that with a specific example of how to calculate savings that result from correcting improper economizer operation.Basically, the purpose of an economizer is to determine the amount of outside air that should be brought in to reduce mechanical cooling and maintain the required ventilation for the people and space served by the air handler.There are four typical ways that economizers are controlled. The control can be based on a fixed drybulb temperature….
A lot of trend data to get this temperature rangeFixed drybulb high limit
Humidity sensors are getting better
So now I’ll go through an example of how to calculate the savings associated with correcting poor economizer operation. So the Finding, or problem, is that….
Here is the entire spreadsheet calculation that was used to determine the savings for this measure. As you can see, it is quite short and simple. I will go through each column and explain how they are calculated. The first group of columns is basically the variables upon which the savings are based and I will discuss them first.
We’ve established the variables that the calculation is based on and next we’ll calculate the current energy use of the AHU and then calculate the energy use after the lockout is reduced to 70F.
We will now calculate the energy use after the lockout is reduced to 70F.
Everything here is the same as the second group of columns we just looked at, except here the outside air damper goes to minimum position when the outside temperature is above 70F. In this case, the minimum is 10%. It is best to figure out the minimum %OA by looking at the %OA at extremely low outside temperatures when the return, mixed, and outside temperatures are very different. This will result in a more accurate %OA.
Here is the entire calculation again, with the changes between the current and proposed cases highlighted in red. All the savings are occurring when the outside air damper is open and economizing, but should be a minimum position.
State the source (even though its at the bottom, just say it as well to give it more credibility)We chose the measures starred here to discuss today. We chose these measures because we have encountered them very frequently in our work and from our experience, they tend to result in significant energy savings with attractive paybacks.
We’re showing the top savings measures again to highlight the importance of focusing on the measures that result in high energy savings. We recommend starting with this list when creating an EBCx plan. In addition, it is good to focus on large equipment, that is, equipment with a high horsepower or tonnage, and equipment that operates a lot. They will use more energy and thus have higher energy savings potential. Also, we highly recommend doing a preliminary calculation before diving into the trend data and creating an in-depth spreadsheet calculation. These “back of the envelope” calculations can save a lot of time. If the equipment that you plan to optimize uses very little energy now, there won’t be much to save. Estimate the costs and savings and see if the payback is reasonable and justifies further analysis. One trap we’d like to point out is to avoid installing VFDs on equipment that is smaller than 10 hp. In our experience, they simply don’t pay off so we don’t recommend them.
Listed here are some of the common resources that we use in our work. The California Commissioning Collaborative and Better Bricks have great resources on New and Existing building commissioning. Taylor Engineering also has some great resources and is the basis for the economizer high limit control I discussed earlier. PECI is also a great resource that we reference frequently.
So in conclusion, we love trend data. It is completely invaluable for the ebcx work that we do. Trend data allows you to identify operational issues that can’t be identified by any other means. It also allows you to calculate energy savings accurately. We also love spreadsheet calculations. They are straightforward. Flexible. Accurate. And definitely worth the time and effort to develop. Our hope is that everyone that watches this webinar today goes back to their desk and tries out the averageifs and countifs functions. They will change your world.