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Energy Performance Analysis with RETScreen

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Energy Performance Analysis with RETScreen. 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) - PowerPoint PPT Presentation
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1 Energy Performance Analysis with RETScreen
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Page 1: Energy Performance Analysis with RETScreen

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Energy Performance Analysis with RETScreen

Page 2: 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

Page 6: Energy Performance Analysis with RETScreen

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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

Page 7: Energy Performance Analysis with RETScreen

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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

Page 11: Energy Performance Analysis with RETScreen

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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

Page 19: Energy Performance Analysis with RETScreen

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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


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