INDUSTRIAL PROCESS SECTOR Hands on Training Workshop of the CGE on NGGI for NAI Parties to the UNFCCC, Africa Region Pretoria, South Africa 18-22 September 2006

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INDUSTRIAL PROCESS SECTOR Hands on Training
Workshop of the CGE on NGGI for NAI Parties to
the UNFCCC, Africa RegionPretoria, South
Africa18-22 September 2006

• GHANA CASE STUDY

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OUTLINE- GHANA CASE STUDY

• RE96GL APPROACH AND STEPS
• Country sources and subsource categories
  identified
• Summary of Process Descriptions of source
  categories and estimated missions
• Methodological Choices
• Collection of AD
• IPCC Default and CS-EF
• GPG 2000 approaches for selected source categories

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OUTLINE-GHANA CASE STUDY

• SECTION B
• Potential problems with the use of Re96GL,
  effects, and suggested approaches regarding
• AD and CBI
• Data Sources
• Lack of AD and EFs
• Institutional Arrangements

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OUTLINE- GHANA CASE STUDY

• SECTION C
• ESTIMATION AND REPORTING -Using country source
  worksheets and other countries reported data to
  complete the electronic software

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Re96GL Approach and Steps Country Sources
identified

• 2A-Mineral Production
• 2A2-Lime production , Pg 2.4.1
• 2A3-Soda ash production and Use Pg 2.6.1
• 2B Chemical Industry
• 2B1-Calcium Carbide use Pg 2.11.2
• 2C Meta Production
• 2C1-Iron and Steel Pg 2.13.3.2
• 2C2- Aluminum Pg 2.13.5.1

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Re96GL Approach and StepsChoice of Activity Data

• Plant level measurements or direct emissions
  reports with documented methodologies
• Where direct measurements are not available,
  estimations are based on calculation with
  plant-specific data

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Re96GL Approach and StepsChoice of Default
Emission Factors

• Process reaction-based EFs (Stoichiometric
  Ratios)
• Production-based emission factors
• Technology-specific emission Factors
• Reported Country/Region-specific plant-level
  measurements

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Re96GL Approach and StepsSample Tiers by
Sub-source Categories

• 2C5-Calcium Carbide Use in Steel Melting plants
  CO2)
• T1a -Consumption of Carbide in acetylene
  production (tonne carbide) and EF (tone
  CO2/tonne carbide (Default)

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Re96GL Approach and StepsTiers by Sub-source
Categories

• 2C-Metal production (Iron and Steel)
• Tier 1a-consumption of reducing agent (tonne) and
  EF (tonne C/tonne reducing agent)
• Tier 1b-production of the metal (tonnes) and EF
  (tonne CO2/tonne metal)

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Key source analysis and prioritization

• Demonstrate Key source Analysis by Level using
  the Ghana Inventory Results

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Country-Specific Methodology and good practice
plant-level EF and AD

• The case of Aluminum production inventory in Ghana

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Good practice Activity Data (Plant-level EF
based on Tier 1a Method)
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Consumption of reducing agent (anode carbon)
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Net carbon consumption
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Comparability of good practice plant level and
IPCC Default
Process Parameter Country Specific (Plant level Tier 2) 7-year average IPCC Default including baking emissions (5)
Net Carbon consumption assuming 98 purity of anode carbon tonne C/tonne 0.445
Emission factor (tonne CO2/tonne Al.) 1.63 1.58
Difference 3.5
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Emissions Estimation and Reporting Use of IPCC
Electronic Inventory Software

• Hand-on using the various country data for
  different source categories

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REPORTING TABLESLong Summary and Short
summary(Reference IPCC Inventory Software)
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Emissions Estimation and Reporting-Selected
country reviews

• Discussion of the identified problems with
  reporting and methodological choices of selected
  countries identified in the IP sector of the INC

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Lack of Activity Data and Emissions Factors
encountered in the use of Re96GL GPG 2000 Tier1
good practice Options

• Notes Annex 2 - Table 2 gives the
  methodological choices and GHG estimation for
  Tier 1 methods based on national circumstances
  where EFs and certain types of ADs are not
  available.)

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GPG 2000 DECISION TREE APPROACH TO ESTIMATIONS

• SAMPLE ILLUSTRATIONS
• 2.A.1Cement Production
• 2.C1 Iron and Steel
• 2.C.2 Aluminum production
• Handbook Annex 3 Table 3 presents detailed
  estimations of Emission factors of the source
  categories above based on the various GPG 2000
  Tier level methods

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UNCERTAINTY ESTIMATION GPG 2000 OPTIONS
Table 3.2 of GPG2000 illustrates the use of
default factors in estimating uncertainties based
on the various Tier level methods