capacity building of national ghg inventories: wri doha, qatar (2...

Amnat Chidthaisong ([email protected])

Siriluk Chiarakorn ([email protected])

King’s Mongkut University of Technology Thonburi, Bangkok, THAILAND

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Capacity Building of National GHG inventories: WRI Doha, Qatar (2 Dec 2012)

Current framework of national GHG inventory system

Brief of Thailand GHG emission inventory & lesson learned

Capacity building issue

On-going activity

Challenges

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Funded by GEF

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Working process of GHGI-SNC

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Energy

Industrial Process

Agriculture

Land Use Change and

Forestry

Waste

DEDE

EGAT

PTT

OTP

EPPO

OAC

DLD

RFD

PCD

BMA

DIW

IPCC default value

Acti

vit

y d

ata

National Research

Review literature

International driver

Em

issio

n fa

cto

rs recalculation, time series, uncertainty, QAQC, key sources analysis

Approved by national committee under ONEPP

External expert review

Expert c

onsulta

tion

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Industrial processes, 16.39, 7.2%

Agriculture, 51.88, 22.6%

LULUCF, -7.90, -3.4%

Waste, 9.32, 4.1%

1A1 Energy

Industries, 66.44, 41.7%

1A2 Manufacturing industries and

construction, 30.78, 19.3%

1A3 Transport, 44.70, 28.0%

1A4b Residential,

5.58, 3.5%1A4c Agriculture/Forestry/

Fishing, 6.67, 4.2%

1B1 Solid fuels, 0.67,

0.4%

1B2 Oil and natural gas, 4.56, 2.9%

Energy, 159.39, 69.6%

Emission in 2000 by 'Energy Sector' (Mt CO2 eq, %)

Total GHG Emission with LULUCF = 229.08 MtEq

Second National Communication 2011

Energy, 159.39, 69.6%


LULUCF, -7.90, -3.4%

Waste, 9.32, 4.1%

2A Mineral products, 16.05, 97.9%

2B Chemical industry,

0.34, 2.0%

2C Metal production, 0.01, 0.0%

Industrial Processes,

16.39, 7.2%

Emission in 2000 by 'Industrial Processes' (MtCO2eq, %)


Energy, 159.39, 69.6%

Industrial processes, 16.39, 7.2%

LULUCF, -7.90, -3.4%

Waste, 9.32, 4.1%

4A Enteric fermentation, 8.26,

15.9%

4B Manure

management, 5.07, 9.8%

4C Rice cultivation,

29.94, 57.7% 4D Agricultural soils, 7.60, 14.6%

4F Field burning of agricultural residues,

1.01, 1.9%

Agriculture51.88, 22.6%

Emission in 2000 by 'Agriculture' (Mt CO2 eq, %)


Energy, 159.39,

69.6%

Industrial processes,

16.39, 7.2%

Agriculture, 51.88,

22.6%

Waste, 9.32, 4.1%

5A Changes in forest & other woody biomass stocks,

- 13.35 Mt CO2eq

5B Forest & grassland conversion,

44.47 Mt CO2eq

5C Abandonment of managed lands,

- 39.02 MtCO2eq

LULUCF, - 7.90, - 3.4%

Emission in 2000 by 'LULUCF' (Mt CO2 eq, %)


Energy, 159.39, 69.6%

Industrial processes,

16.39, 7.2%


LULUCF, - 7.90, - 3.4%

6A Solid waste

disposal on land, 4.86, 52.2%

6B Waste-water handling, 4.43, 47.5%

6C Waste

incineration, 0.02, 0.2%

Waste, 9.32, 4.1%

Emission in 2000 by 'Waste Sector' (Mt CO2 eq, %)


Second National Communication 2011

NGHGI in the SNC

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4.29, 1.9%

4.56, 2.0%

4.86, 2.1%

6.64, 2.9%

6.83, 3.0%

7.40, 3.2%

7.60, 3.3%

8.26, 3.6%

-13.35, -5.8%

15.02, 6.6%

15.14, 6.6%

29.94, 13.1%

30.31, 13.2%

32.75, 14.3%

-39.02, -17.0%

43.03, 18.8%

44.23, 19.3%

-50 -40 -30 -20 -10 0 10 20 30 40 50

1A4. CO2 Other Sectors: Residential

1B2. CH4 Fugitive Emissions from Oil and gas Operations

6A. CH4 Emissions from Solid Waste Disposal Sites

1A4. CO2 Other Sectors: Agriculture/Forestry/Fishing

1A1. CO2 Emissions from Stationary Combustion (Liquid-A): Crude Oil

1A1. CO2 Emissions from Stationary Combustion (Liquid-D): Residual Fuel Oil

4D. N2O (Direct and Indirect) Emissions from Agriculutural Soils

4A. CH4 Emissions from Enteric Fermentation in Domestic Livestock

5A. CO2 Emission from Changes in Forest and Other Woody Biomass Stocks

2A. CO2 Emissions from Cement Production

1A1. CO2 Emissions from Stationary Combustion (Solid-D): Lignite

4C. CH4 Emissions from Rice Production

1A2. CO2 Emissions from Manufacturing Industries and Construction

1A1. CO2 Emissions from Stationary Combustion (Gas-A): Natural Gas

5C. CO2 Emission from Abandonment of Managed Lands

1A3. CO2 Mobile Combustion: Road Vehicles

5B. CO2 Emission from Forest and Grassland Conversion

Net Emission / Removals (Mt CO2 eq, %)

Key source category of GHG emission in 2000: Total 229.08 MtCO2 eq (>90%)

Key Categories Analysis with LULUCF

9 Second National Communication 2011

การจดัท าบญัชีการปลดปลอ่ยก๊าซเรือนกระจกของประเทศไทย การประชมุรับฟังความคิดเห็นทัว่ไป 9 พฤศจิกายน 2552

ประเภทของแหล่งปล่อยและแหล่งดูดกลบัของก๊าซเรือนกระจก Uncertainty

1. ภาคพลงังาน (Energy) 6.2%

2. ภาคกระบวนการอุตสาหกรรม (Industrial Processes) 7.1%

3. Solvent and Other Product Use (ภาคตวัท าละลาย) -

4. ภาคการเกษตร (Agriculture) 18.1%

5. ภาคการเปล่ียนแปลงการใชพ้ื้นท่ีและป่าไม ้

(Land Use, Land-Use Change and Forestry) 19.2%

6. ภาคของเสีย (Waste) 68.7%

7. ภาคอ่ืนๆ (Other) -

TOTAL 6.7%

Routine expert meeting Third party review

Steering committee



UNFCCC software version 1.3.2 (by year)

Combined and integrated data and total result

Primary database (by sectors)

Calculated number, year

Source by source database (by sectors)

Value, unit, origin, ref, comparability, suitability

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Human resources capacity as a by-product of SNC

9 Researchers (5 become UNFCC expert reviewers)

2 Postdoctoral researcher

4 Doctoral Students

3 Master students

Past Capacity Building

• Regional Capacity Building Project for Sustainable National GHG Inventory Management Systems in Southeast Asia (US EPA & UNFCCC)

• Inventory system: institutional arrangement, database development

• Tools :ALU software

• ERT training to review Annex I contry GHG inventory

• WGIA (Greenhouse Gas Inventories in Asia)-GIO of Japan

• Mutual learning—country proposes the topic of interests and choose the country partner to share the experiences and data

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WGIA ( Workshop on Greenhouse Gas Inventory in Asia ) ◦ Uncertainty and time series

SWGA (Workshop on Improvement of solid waste management and reduction of GHG emissions in Asia ◦ K value of SWDS

Training on methane emission from rice field for Myanmar and Laos inventory team ◦ Country specific emission factor

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Improving database and human resources ◦ Ministries setting up the agency in charge for data

collection (merged with routine statistical work), maintaining database, and responding to the needs of GHG inventory compiler at ONEP & TGO

Studying the suitable form of domestic MRV for national inventory

GHG emission baseline projection, mitigation potentials, mitigation cost estimate and projection

Engagements with GRA on GHG measurement & mitigation options (Paddy field, Cropland, Livestock)

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Total Emission Reduction

Baseline emission 259 MtCO2

Ongoing-Mitigation options (in power generation)

129 108

17 JGSEE’s mitigation report to TGO 2010

National system for GHGI

Improving understanding of GHG inventory system of government & NGOs staffs

Domestic MRV –system, structure, scale, sector priority, etc.

Mitigation: Baseline & abatement projection and cost associated with mitigation options.

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1961 1973 1976 1978 1982 1985 1988 1989 1991 1993 1995 1998 2000 2004 2005 20060

5000

10000

15000

20000

25000

30000

35000

% of total area

% o

f t

ota

l countr

y a

rea

Forest

area (

1000 h

a)

Year

0

5

10

15

20

25

30

35

40

45

50

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Thailand LUs in 2000&2007 reclassified following IPCC 2006 GL Classification

(Wiriyanuwatkul, 2009)

Land use categories 2000 2007

km2 % km2 %

Forest land 172,013.04 33.52 162,571.27 31.68

Cropland 285,810.98 55.70 277,349.13 54.05

Grassland 12,740.48 2.48 14,445.86 2.82

Wetlands 14,414.11 2.81 19,237.39 3.75

Settlements 25,398.86 4.95 36,922.13 7.20

Other land 2,737.48 0.53 2,589.17 0.50

Total 513,114.95 100.00 513,114.95 100.00

Magnitude of LUC in 2007 from 2000 (Wiriyanuwatkul, 2009)

7,693.46

2,977.24

1,159.33

19,283.26

605.81

86.58

171.48

1,155.68 115.35

995.21

194.59

361.87

280.77

1,541.09 9,316.13

732.47

2,190.20 2,304.01

23,169.49

15,847.70

6,856.13

636.90

2,320.41

5,283.61

468.76

144.53

1,000.48

3,608.31 1,383.08

601.55

FOREST LAND 141,010.24

CROPLAND 234,971.11

GRASSLAND 3,807.18

WETLANDS 7,550.14

OTHER LAND 671.45

SETTLEMENTS12,619.37

Office of Natural Resource and Environmental Planning

Thailand Research Fund

Thailand Greenhouse Gas Management Office

Office of Energy Planning and Policy

Inventory and Mitigation teams from JGSEE-KMUTT-KMUNB-KU

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capacity building of national ghg inventories: wri doha, qatar (2...

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