Post on 08-Feb-2016
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Energy Performance Analysis with RETScreen
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Learning Objectives
Review basics of energy performance analysis
Illustrate methods and techniques for Monitoring, Targeting & Reporting (MT&R)
Highlight key concepts of Measurement & Verification (M&V)
Introduce the energy management software tool within RETScreen – the Performance Analysis Module
Understand basic structure of the RETScreen Plus Performance Analysis Module
Be able to use the software to monitor, analyse, and report key energy performance data
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Monitoring, Targeting & Reporting (MT&R)
MT&R provides a systematic approach to gaining and maintaining control over energy consumption (or production) through measurement and analysis followed by well-directed actions
The key steps to effective MT&R are:
measurement of energy consumption (or production) over time measurement of influencing factors (weather, production level, occupancy) over
corresponding time intervals
development of a relationship (a model) between energy and the influencing factors
establishment of energy reduction (or production) targets
frequent comparison of actual consumption (or production) with targets
reporting of consumption (or production) and target variances
initiation of actions to ensure targets are met
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Measure
Analyse
Take ActionData
Information
Result
MT&R Feedback Loop
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Develop Relationship: Energy & Influencing Factors
How does energy consumption or energy production vary with a factor of influence (i.e. driver, such as weather)?
How does the relationship change with time?
Consumption or Production
Fuel consumption
Electricity consumption
Water consumption
Electricity production
Factors of influence
Weather
Occupancy
Production level
Solar radiation
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Models Predict Energy Consumption or Production
Historical consumption or production Static, not dynamic with drivers
Statistical model E = Function of drivers Mathematical relationship
between energy consumption (or production) and the “driver” exists
It’s often linear, of the formy = mx + b
Simple linear regression Multivariable non-linear regression
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Establish Energy Reduction (or Production) Targets
Driver(s) or Factor(s) of Influence
Ene
rgy
Con
sum
ptio
n o
r P
rodu
ctio
n
Reduce Non-Productive Energy (waste)
Increase Efficiency
Reduce Variability
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Data visualization (e.g. monthly graphs)
Time series graphs
Regression analysis
Cumulative sum (CUSUM) charts
Targeting
Control charts
Reports
“tools that help to identify, understand, quantify and display the relationship between energy
and what drives it”
Typical Tools Used for Energy Performance Analysis
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Reporting Pathways for a MT&R System
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RETScreen Plus Performance Analysis Module
Helps user monitor, analyse, and report key energy performance data to facility operators, managers and senior decision-makers
Energy management software tool
Monitoring, Targeting & Reporting (MT&R)
Measurement & Verification (M&V) Energy tracking
Integrates near-real-time NASA satellite-derived weather data for entire surface of planet
Data
Analytics
Reporting
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Performance Analysis Module - Structure
Start Project information Site reference conditions
Data Step 1 – Consumption/production Step 2 – Factors of influence Step 3 – Data processing
Analytics Step 1 – Baseline Step 2 – Target Step 3 – Comparison
Reporting Step 1 – Report Step 2 – Edit Step 3 – Output
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Project Example: MT&ROffice Building, Burns Lake, BC, Canada
Photo Credit: Jeff Ragsdale, Village of Burns Lake
See template
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Measurement & Verification (M&V)
A process of quantifying energy consumption (or production) and water consumption before and after an Energy Conservation Measure is implemented to verify and report on the savings actually achieved
International Performance Measurement and Verification Protocol (IPMVP)
http://www.evo-world.org
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Select IPMVP Option
A. Partially Measured Retrofit Isolation With assumption/stipulations
B. Retrofit Isolation Fully measured
C. Whole Facility Or sub-metered part
D. Calibrated Simulation With software
M&V P r ocess
P repare theOrganization
Implement theE CM's
Implement theM& V P lan
Design E nergyS avings P rogram
Identify, S elect andA ssess the E C M's
A pply M& VP erformance
Model to OngoingManagement
S electImplementation
Method
S ave !
Define OngoingM& V A ctivities
Define & S pecifyMetering
E quipment
Test P erformanceModel for
Uncertainty etc..
DevelopP erformance
Model
Define P ost E CMP eriod
Define B ase Y earP erformance
S elect IP MV POption
P r epar e theM&V P lan
Model OK
ReviseP erformance
Model
NO,Needs R evision
Y es
NO,A pproach
notS uitable
Document theM& V P lan
Done
Implement theE CM'sImplement the
E CM'sP repare theM& V P lan
MBRPP r ocess
S tep1, 2 & 3
S tep 4
S tep 8
S tep 7
S tep 5 & 6
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A. Partially Measured Retrofit Isolation
Instantaneous measurements of lighting power before and periodically after retrofit
Assumptions (stipulations) for operating hours and burnout rates
Calculation of heating interaction from electrical savings & boiler efficiency
Example: T12 to T8 lighting retrofit
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B. Retrofit Isolation
Three separate test of boiler efficiency were made before and after retrofit
Boiler was effectively isolated by gas meter on the input and heat meter on the output
Savings are reported under base year conditions
Example: boiler replacement
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C. Whole Facility
Gas & electricity modeled by correlation to heating degree days (HDD)
Adjustments made for new computers
Savings calculated under post retrofit conditions as “avoided costs”
Example: multiple energy conservation measures (ECM), operator training & occupant awareness
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D. Calibrated Simulation
New electric and steam metered installed
Post retrofit energy use was computed with software calibrated to match readings
Baseline computed from “calibrated model” and base year weather
Savings = baseline - post
Example: ECM’s in one non-metered building of a multi-building complex
Fuels & schedules Show data
Fuel Fuel type 1 Fuel type 2 Fuel type 3 Fuel type 4 Fuel type 5 Fuel type 6Fuel type Electricity Natural gas - m³Fuel consumption - unit MWh m³ #N/A #N/A #N/A #N/AFuel rate - unit $/kWh $/m³ #N/A #N/A #N/A #N/AFuel rate 0.100 0.400
Schedule Unit Schedule 1 Schedule 2 Schedule 3 Schedule 4 Schedule 5 Schedule 6Description 24/7
Occupied Occupied Occupied Occupied OccupiedTemperature - space heating °C 23.0 21.0Temperature - space cooling °C 23.0 24.0
Unoccupied Unoccupied Unoccupied Unoccupied UnoccupiedTemperature - unoccupied +/-°C 3.0
Occupied Occupied Occupied Occupied OccupiedOccupancy rate - daily h/d h/d h/d h/d h/d h/d
Monday 24 18.0Tuesday 24 18.0Wednesday 24 18.0Thursday 24 18.0Friday 24 18.0Saturday 24 18.0Sunday 24 18.0
Occupancy rate - annual h/yr 8,760 6,570 0 0 0 0% 100% 75% 0% 0% 0% 0%
Heating/cooling changeover temperature °C 16.0Length of heating season d 242Length of cooling season d 123
Facility characteristics Show data
Show: Heating Cooling ElectricityIncremental initial costs
Fuel cost savings
Incremental O&M savings Simple payback
Include measure?
Fuel saved GJ GJ GJ $ $ $ yrHeating system
Boiler 0 - - 0 0 0 -Cooling system
Air-conditioning - 0 - 0 0 0 -Building envelope
Appartment building 2,686 0 - 60,000 28,659 0 2.1VentilationLights
Electrical equipment
Hot water
Other
Total 2,686 0 0 60,000 28,659 0 2.09
Summary Show data
Fuel type
Fuel consumption -
unit Fuel rateFuel
consumption Fuel costFuel
consumption Fuel cost Fuel savedFuel cost savings
Natural gas m³ 0.400$ 160,194.2 64,078$ 88,546.3 35,419$ 71,647.8 28,659$ Total 64,078$ 35,419$ 28,659$
Project verificationFuel
consumptionFuel type Base caseNatural gas m³ 160,194.2
Heating Cooling Electricity TotalEnergy GJ GJ GJ GJEnergy - base case 4,204 0 0 4,204Energy - proposed case 2,324 0 0 2,324Energy saved 1,880 0 0 1,880Energy saved - % 44.7% 44.7%
BenchmarkEnergy unit kWhReference unit m² 7,500User-defined m² 2,000
Benchmark Heating Cooling Electricity TotalEnergy kWh/m² kWh/m² kWh/m² kWh/m²Energy - base case 155.7 0.0 0.0 155.7Energy - proposed case 86.1 0.0 0.0 86.1Energy saved 69.6 0.0 0.0 69.6
RETScreen Energy Model - Energy efficiency measures project
Base case Proposed case Fuel cost savingsFuel
Fuel consumption -
historical
Fuel consumption -
unit
Fuel consumption -
variance
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Project Example: M&VPhotovoltaic Power System, Toronto, ON, Canada
See template
Photo Credit: Carmanah Solar
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Conclusions
Implementing an energy monitoring, targeting and reporting (MT&R) system can be a powerful way to better manage energy project investments as well as identify additional project opportunities
The RETScreen Plus Performance Analysis Module can be used worldwide to monitor, analyse, and report key energy performance data to facility operators, managers and senior decision-makers
A Data worksheet enables the user to create, import, calculate, filter, merge and store various datasets needed to prepare an analysis
An Analytics worksheet helps the user establish a baseline for the project, predict the energy consumption or production of a facility using regression analysis, set a target and then track the energy performance of an ongoing basis
The Reporting worksheet allows the user to create, edit and output various datasets and figures needed to properly present the analysis of the project
The measurement and verification (M&V) of actual savings (or production) achieved by a clean energy project is an important final step in the energy decision chain
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Questions?
www.RETScreen.net