Energy Management Potential in the Alberta Industrial and Manufacturing Sectors Proposed Energy Benchmarking and Potentials Study - PowerPoint PPT Presentation

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Energy Management Potential in the Alberta Industrial and Manufacturing Sectors Proposed Energy Benchmarking and Potentials Study

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Title: Energy Management Potential in the Alberta Industrial and Manufacturing Sectors Proposed Energy Benchmarking and Potentials Study


1
Energy Management Potentialin the Alberta
Industrial and Manufacturing SectorsProposed
Energy Benchmarking and Potentials Study
2
About this Presentation
  • Experience in Other Provinces
  • Drivers in other provinces
  • Overview of three key project streams
  • Benchmarking of energy use and implementation of
    best practices
  • Energy savings potential
  • Implementation of opportunities
  • Value proposition for Alberta

3
Main Study Drivers in NB, NS and ON
  • Increase competitiveness of industrial sector
  • Identify opportunities for cost reduction and
    increased energy efficiency
  • Define scale of potential savings in industrial
    energy efficiency savings and GHG in province
  • Provide necessary information for utilities and
    government to develop energy efficiency programs
    and platforms

4
Overview of Project Streams
Energy Management
STREAM 1 Benchmarking Energy Use, and Technical
and Management Best Practices
Define Current Market Penetration of Best
Practices and Technologies
STREAM 2 Energy Management Potential Analysis
Identify Opportunities
STREAM 3 Increase Adoption of Technologies and
Best Practices
5
STREAM 1 Energy Benchmarking
  • Define current energy efficiency performance
  • Define baseline performance to measure future
    performance against
  • A continuous improvement tool
  • Compare plant performance with rest of industrys
    performance
  • Identifies areas for potential improvement

6
The CME/Stantec/MarbekBenchmarking Approach
  • Best practice and field tested
  • Three pronged approach
  • Energy use performance
  • Technical best practices
  • Management best practices
  • It tells you
  • How you are doing
  • Why you are where you are

7
Bottom Up End-Use Analysis Using Robust Excel
Model
Hydro-electric
Wind -Power
Electricity
Steam
Co-generation
Biomass
Self Generation
RPP
Compressors
Refrigeration
Motors
Natural Gas
Fans Blowers
Propane
Conveyors
Pumps
Comfort Heat
Process
Lighting
Engines
Boilers
Furnaces
8
Survey Inputs are Mapped intoEnd-Uses for Each
Plant
9
Technical Best Practice Analysis
Penetration of Applicable Technical Best
Practicesby Energy End-use Category
10
Management Best Practice Analysis
Energy Management Scores by Category
Correlation has shown in other studies that a 5
performance improvement possible for every 20
improvement in MBP score.
11
STREAM 2 Energy Management Potentials
  • Typically 4 key outputs for jurisdiction (eg.
    province)
  • Baseline energy use profile
  • Reference case projection (specified analysis
    period)
  • Economic energy management potential
  • Achievable (market) energy management potential

12
Identify economic and achievable potential for
energy savings (provincial and sector)
13
Stream 3 Increase Adoption of Best Practices
and Technologies
  • Develop strategies and mechanisms to advance
    implementation of identified opportunities
  • Specific and customized for jurisdiction
  • Examples
  • NB Program concepts leading to design and
    delivery of Industrial Energy Efficiency Program
    (Efficiency NB)
  • NS Design and deliver outreach events (CME),
    information for industrial program (NS Power)
  • ON Framework for integrated programs and
    platforms delivered by CME, utilities and
    government

14
Summary of Key Outputs
  • Public Domain
  • Province wide energy benchmarking results (by
    sector if sample size large enough)
  • Province and sector specific energy management
    potential results
  • Confidential
  • Plant/company specific reports

15
Trends in Alberta
  • Federal Regulatory Framework for Industrial Air
    Emissions short-term emission intensity
    reduction targets for GHG emissions (come into
    force in 2010)
  • Some sectors are energy and GHG intensive, e.g.
    energy use in Canadas upstream oil and gas
    industry increased by 89 over 1990-2004 an
    increase in total energy intensity of 18(1.4
    per year).
  • Structural shift towards more energy-intensiveoil
    -sands and the increased energy needs associated
    with extracting resources from depleted
    conventional reserves.

16
Energy Benchmarking in Canada
  • Refineries (2001 survey-5 plants in Alta)
  • Open Pit Mining (based on 2000 data)
  • Cement
  • All industry New Brunswick, Nova Scotia, Ontario
    (in progress)
  • Other sectors funded by OEE

17
Value Proposition for Utilities and Government
  • Robust empirical foundation for policy and
    program development
  • Prioritize targeting of key industry energy
    end-uses and energy efficiency measures for
    investments

18
Value Proposition for Industry
  • Supports Management Commitment
  • A quality management practice that encourages
    continuous improvement.
  • Supports Planning and Action. Participating
    companies receive
  • a confidential evaluation of their company/plant
    management technical practices,
  • comparison of their corporate and facility energy
    management performance to other facilities in
    their sector
  • recommendations on where they should be focusing
    efforts for the best economic return in energy
    savings

19
Study Coverage
  • In-depth analysis to cover about 70 of
    industrial energy use - balance based on
    extrapolation
  • All fuels (including renewables and alternatives)
  • Typically
  • 7 to 10 sub-sectors
  • 15 to 20 remote surveys per sector
  • 8 to 10 on-site assessments per sector

20
Study Roll Out Energy Benchmarking
  • Recruitment of companies/plants
  • Design and apply remote survey tool
  • Design and apply on-site assessment protocol
  • High degree of oversight to ensure QC
  • Analyze data
  • Generate benchmark outputs

21
Study Roll Out EM Potentials
  • Determine base year and study period
  • Acquire utility sales data by NAICS code
  • Build base year, end-use profile of energy use
  • Construct reference case and savings scenarios.

22
Funding Required
  • Estimated 800 K to 1,200 K
  • 12 - 18 months
  • Estimated 70 - 90 on-site assessments and 150 -
    200 remote assessments
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