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Understanding and Using Charts in the UCD

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Presentation on theme: "Understanding and Using Charts in the UCD"— Presentation transcript:

1 Understanding and Using Charts in the UCD
UCD Training March 1, 2018

2 UCD Charts vs Reports What’s the difference? same data in both
some charts also contain weather normalized data only meters having 92% data completeness in a fiscal year will be included in the charts Why Use Charts? quick way to visualise trends immediate comparison of year-over-year energy data facility board easy to spot opportunities for potential energy savings

3 Background Information Glossary of Chart Terminology
Actual the quantity of energy consumed also known as “raw” data also known as “metered” data (Min of Energy – Green Energy Act reporting) Adjusted Baseline calculated value of energy consumption based on a formula using the quantity of energy consumed per HDD and CDD in the baseline year multiplied by the number of HDD and CDD in a selected year, plus baseload allows users to determine if they are consuming more or less energy when the impact of weather is removed from actual consumption values represents weather-normalized consumption

4 Background Information Glossary of Chart Terminology
Baseline Year the baseline year is the fiscal year that the UCD uses to calculate the quantity of energy consumed per HDD and CDD the current baseline year is FY 2013 over time the baseline year will change Normalized short-form terminology for “weather normalized” see definition of weather normalized on next slide Raw Data the quantity of energy consumed appears in the charts as “actual” also known as “metered” data (Ministry of Energy – GEA reporting)

5 Background Information Glossary of Chart Terminology
Typical Year calculated value of energy consumption based on a formula using the quantity of energy consumed per HDD and CDD in the baseline year multiplied by the average number of HDD and CDD during the past 10 years, plus baseload allows users to view a specific fiscal year’s consumption based on the average, normalized weather over the last ten years Weather Normalized Data a calculated value of energy consumption data where the difference in weather patterns across specific time periods (fiscal or calendar years) has been removed allows apples-to-apples comparison of energy consumption typically the baseline fiscal year’s weather is used 25-35% of energy consumption related to heating and/or cooling (where applicable) is impacted by weather

6 Background Information – Setting Preferences
Units of Measurement users determine the unit of measurement How to set the Unit of Measurement go to the toolbar on the top right hand of the site select the “wrench” icon select the “Set Your Unit Preferences” tab select “Unit Type” from the drop down list select “Preferred Unit” from the drop down list click on “Save Preference” button when all applicable units have been selected, click on the “Done” button

7 Background Information – Setting Preferences
Units of Measurement cont’d 2. 3. 4. 5. 6.

8 Information Available in Charts
Five categories of information Utilities data shows the consumption of each utility by type (electricity, natural gas, fuel oil, propane etc.) on its own Energy data shows the total consumption of all applicable utilities Energy Intensity data shows the total energy consumed divided by the total floor area Emissions data shows the total emissions of CO2 produced Emissions Intensity data shows the total emissions produced divided by the total floor area

9 Types of Charts Five types of charts: Performance Line
Performance Annual Columns Year vs Year Lines Year vs Year Lines (Normalized) Annual Columns

10 Performance Line Charts
About the Chart plots data on a monthly basis for each fiscal or calendar year utility (electricity, natural gas, alt. fuels, water) energy emissions weather normalized data compares actual data vs adjusted baseline vs typical year on a monthly basis

11 Performance Annual Columns
About the Chart summarizes total consumption per each fiscal or calendar year utility (electricity, natural gas, alt. fuels, water) energy emissions weather normalized data compares actual data vs adjusted baseline vs typical year on a annual basis

12 Year-vs-Year Lines About the Chart
plots consumption data on a monthly basis for each selected fiscal or calendar year utility (electricity, natural gas, alt. fuels, water) energy emissions emissions intensity raw data allows identification of annual cycles e.g. spikes in consumption

13 Year-vs-Year Lines (Normalized)
About the Chart plots consumption data on a monthly basis for each selected fiscal or calendar year utility (electricity, natural gas, alt. fuels, water) energy intensity weather normalized data allows year-over-year comparison of consumption e.g. has an implemented energy management strategy worked?

14 Annual Columns About the Chart
summarizes total consumption per each fiscal or calendar year utility (electricity, natural gas, alt. fuels, water) energy emissions raw data provides a simple snapshot of actual consumption across multiple fiscal or calendar years

15 Summary of Charts Summary 15 different charts in total each chart has
different data unique perspective/purpose

16 Locating the Charts 1. Login to UCD 2. Select your board
under “Portfolio Tree”, click on “your board’s name” 3. Select “Charts” tab

17 4. Select a chart from the drop down box
Selecting a Chart 4. Select a chart from the drop down box

18 Selecting a Chart Select chart parameters from drop down boxes
Start date End date Utility (if applicable) electricity natural Gas fuel oil propane wood district heat district cool water Fiscal Year if the box isn’t checked, charts will be based on calendar year for analysis purposes, fiscal year is the standard

19 Selecting a Chart 1. 2. 3. 4.

20 Chart Features 1. Meters Reporting
indicates the number of meters that are being used to generate the chart only meters having 92% data completeness in a fiscal year will be included in the charts 2. Export to Spreadsheet users can view the data that the chart was based on in a spreadsheet format 3. Print Chart, Download Image, Toggle Full Screen users can print the charts users can download charts in a variety of formats select applicable format and save to your computer hard drive users can view charts on full screen

21 Chart Features 2. 3. 1.

22 Raw Data Charts Raw Data
is the quantity of energy consumed (also known as metered) in the UCD charts it appears as “Actual” When to use Raw Data when comparing consumption data in one fiscal year for a single facility all facilities within a board Rationale pure consumption data based on meter readings meter readings as back up no weather normalized process has been applied Note Raw data charts do not have the words “Performance or “Normalized” in the title

23 Weather Normalized Charts
see definition on slide 5 represented in the UCD charts as Adjusted Baseline When to use Weather-normalized data when analyzing consumption data for … 1. more than one fiscal year same facility all facilities within a board Rationale weather can impact consumption significantly from one year to the next Note Weather normalized charts have the words “Performance or “Normalized” in the title

24 Weather Normalized Charts
When to use weather-normalized data when analyzing consumption data for … 2. more than one site multiple facilities within a board across multiple weather stations Rationale weather can be significantly different from one facility to another within a board particularly relevant for boards that cover a large geographic area

25 Weather Normalized Charts
When to use weather-normalized data when analyzing consumption data for … 3. Multiple boards multiple facilities across more than one board all facilities in multiple boards example, Peer Inventory Rationale weather will be significantly different from one board to the next

26 Impact of Weather on Consumption
the chart below shows the number of HDD and CDD per fiscal year at Toronto Pearson International Airport

27 Impact of Weather on Consumption
Heating Degree Days (HDD) primarily impacts natural gas consumption extended period of HVAC use (for heating) electricity consumption will be impacted for those facilities with portables/portapak and all electric schools FY 2014 was the coldest year largest number of HDD (FY 2013 – FY 2017) Cooling Degree Days (CDD) will impact only electricity consumption extended period of HVAC use (for cooling) facilities with air conditioning (AC) FY 2016 was the hottest year largest number of CDD (FY 2013 – FY 2017)

28 Case Studies

29 Case Study # 1 Chart Types Utility Year vs Year Lines
Utility Year vs Year Lines (normalized) Details Level site Utility natural gas Data Types raw weather normalized data

30 Case Study # 1 Utility Year vs Year Lines - Raw
Purpose of the chart graphically represents raw natural gas consumption on a month-by-month basis for 5 fiscal years

31 Case Study # 1 Utility Year vs Year Lines - Raw
Observations does the raw data make sense? e.g. FY 2014 consumption significantly higher than other years FY 2014 highest number of HDD

32 Case Study # 1 Utility Year vs Year Lines - Raw
Next Steps Select another facility and run the same chart same year same geographic location review the shapes of each fiscal year’s consumption are the line shapes consistent with the first facility? Run the Utility Year vs Year (normalized) Chart same facility same years same utility look at the shape of the line is the consumption better? is the consumption worse?

33 Case Study # 1 Utility Year vs Year (Normalized)
Weather Normalized values

34 Case Study # 1 Utility Year vs Year (Normalized)
Weather-normalized see definition on slide 5 represented in the UCD charts as Adjusted Baseline What to look for compare the lines for each fiscal year is the shape of each year consistent with other years? e.g. no spikes or valleys in the line can a consumption trend be identified? consumption is consistently going down baseline year the highest value most current year the lowest value consumption is consistently going up? baseline year the lowest value most current year the highest value consumption is inconclusive? lines for fiscal years are “crossed”

35 Case Study # 1 Utility Year vs Year Lines (Normalized)
Observations FY 2013 shows the highest peak in consumption FY 2014 and FY 2015 are very similar FY 2015 is slightly higher throughout FY 2016 and 2017 are consistently lower than previous years FY 2016 is lower in both of the shoulder seasons FY 2017 is lower during the peak heating season of December through March Consumption is consistently going down

36 Utility Year vs Year Lines (Normalized) Sample – Consumption Going Up
consumption is consistently going up FY 2015 greater than FY 2014 FY 2017 greater than FY 2015

37 Sample consumption is inconclusive from one year to the next
Utility Year vs Year Lines (Normalized) Sample – consumption inconclusive Sample consumption is inconclusive from one year to the next

38 Sample consumption has consistent spikes on an annual cycle
Utility Year vs Year Lines (Normalized) Sample – Consistent spikes in data Sample consumption has consistent spikes on an annual cycle

39 Case # 1 Takeaways Next Steps Investigate Facility Changes
Increase/decrease in total floor area additions/demolitions portables portapaks Operational changes additional programs increase in operating hours increase in standard temperature Equipment equipment near end of lifecycle operating issues Review data addition/deletion of meters meter reading review

40 Case Study # 2 Chart Type Utility Performance Annual Columns Details
Level site Utility natural gas Data Type weather normalized data

41 Case Study # 2 Utility Performance Annual Columns
Purpose of the chart graphically represents weather normalized natural gas consumption on an annual basis for 5 fiscal years same data as Case Study # 1 … different way of looking at the data compare Actual bar to Adjusted Baseline bar

42 Utility Performance Annual Columns
Case Study # 2 Utility Performance Annual Columns Observations FY 2016 shows natural gas weather normalized consumption (Actual) is higher than model calculated (Adjusted Baseline) FY 2017 shows natural gas weather normalized consumption (Actual) is higher than model calculated (Adjusted Baseline)

43 Utility Performance Annual Columns
Case Study # 2 Utility Performance Annual Columns Next Steps Investigate Facility Changes Increase/decrease in total floor area additions/demolitions portables portapaks Operational changes additional programs increase in operating hours increase in standard temperature Equipment equipment near end of lifecycle operating issues Review data addition/deletion of meters meter reading review

44 Case Study # 3 Chart Types Utility Year vs Year Line (Normalized)
Part IA: Electricity Part IB: Natural Gas Energy Intensity Year vs Year Line (normalized) Energy Performance Annual Columns Details Level site Utility electricity natural gas Data Type weather normalized data

45 Case Study # 3 Utility Year vs Year Lines (Normalized)
The Big Picture the trend of one utility most likely will not tell the whole energy story of a facility depends on electricity/natural gas intensity relationship look at the consumption data for each utility compare trends between utilities

46 Case Study # 3 Utility Year vs Year Lines (Normalized)
Electricity

47 Case Study # 3 Utility Year vs Year Lines (Normalized)
Electricity Observations Consumption consistent from FY 2013 through FY 2016 FY 2017 consumption significantly increases between October and May consumption is noticeably reduced between June and September

48 Case Study # 3 Takeaways Electricity Next Steps
Investigate Facility Changes Increase in total floor area portables portapaks additions Additional programs delivered child care before/after school programs Review data addition/deletion of meters meter reading review

49 Case Study # 3 Takeaways Electricity Next Steps – Investigate Facility Changes cont’d 4. Operational changes increase in scheduling due to extreme cold/heat increase in community use operational issues equipment was switched to manual mode 5. Additional equipment new systems electric heat HVAC new computer server room equipment near end of lifecycle conversion to more electricity intense equipment rooftop units add air conditioning to facility

50 Case Study # 3 Utility Year vs Year Lines (Normalized)
Natural Gas

51 Case Study # 3 Utility Year vs Year Lines (Normalized)
Natural Gas Observations consumption consistent from FY 2013 through FY 2016 FY 2017 consumption significantly reduced between September and May

52 Case Study # 3 Takeaways Natural Gas Next Steps
Investigate Facility Changes Decrease in total floor area partial demolition Cuts to programs delivered child care before/after school programs Review data addition/deletion of meters meter reading review

53 Case Study # 3 Takeaways Natural Gas Next Steps – Investigate cont’d
4. Operational changes decrease in scheduling decrease in community use operational improvements re-commissioning 5. Equipment removed/replaced implementation of new energy efficient equipment change in fuel types conversion to more electricity intense equipment rooftop units

54 Case Study # 3 Utility Year vs Year Lines (Normalized)
Investigate is there a link between electricity increase and natural gas decrease?

55 Observations FY 2017 shows an overall decrease in ekwh/ft2
Case Study # 3 Energy Intensity Year vs Year Observations FY 2017 shows an overall decrease in ekwh/ft2

56 Case Study # 3 Emissions Annual Columns
Observations correlates to the trend shown in the Energy Intensity chart (previous slide)

57 Case Study # 3 Takeaways Summary
where there is approximately 50% increase or decrease in consumption more investigation is required review operations equipment data integrity of meters changes in UCD facility variables/metrics data

58 Case Study # 4 Chart Type Energy Performance Annual Columns Details
Level board Energy Data Type weather normalized data

59 Case Study # 4 Energy Performance Annual Columns
Board level vs Site Level What is the difference? Board level looking for big picture trends in energy consumption across portfolio overall is energy consumption going up or down next steps identify board level performance for each utility increasing consumption stagnant consumption decreasing consumption identify sites where consumption is increasing

60 Case Study # 4 Energy Performance Annual Columns
Board level vs Site Level cont’d What is the difference? Site level looking at site-specific trends next steps investigate the reason for increased consumption implement a strategy to reduce energy consumption

61 Energy Performance Annual Columns
Case Study # 4 Energy Performance Annual Columns Board

62 Case Study # 4 Energy Performance Annual Columns
Observations FY 2014 weather normalized energy consumption increased from FY 2013 FY 2015 weather normalized energy consumption increased from FY 2014 FY 2016 weather normalized energy consumption decreased from FY 2013 FY 2017 weather normalized energy consumption decreased from FY 2016 Questions does the chart make sense? what explains the increasing or decreasing energy use? total number of facilities increasing decreasing does it correlate to investment in energy efficient equipment?

63 Reading Charts Sample # 1

64 Reading Charts Sample # 2

65 Reading Charts Sample # 3

66 Reading Charts Sample # 4

67 Understanding & Using UCD Charts
Questions can be answered via the UCD Help Desk Phone: (416) ext. 115


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