Chapter 2:

Wood Energy Database


2.1 Introduction

Collecting and preparing a wood energy database is a complex process due to a number of reasons: diversity in consumption patterns, variation in heat contents in different species of fuelwood, differences in measurement of volume and weight, lack of regular surveys on wood energy supply and consumption, and divergence in the way wood energy data are presented. Because of this wood energy figures are likely to be different in different databases. Thus, when wood energy data are gathered either for national planning and policy purpose or for some analytical studies, confusion sets in regarding the reliability of data and statistics available from different wood energy database or statistics. It is therefore, mandatory, to explore the existing database, evaluate their reliability and consistency and to identify the most appropriate database for above mentioned purposes.

This chapter discusses the existing situation of wood energy database for 16 Asian countries which are also the members of FAO’s Regional Wood Energy Development Programme in Asia (RWEDP). It tries to present an overview of wood energy database at a regional level. There exists only very few databases that includes wood energy figures for Asia. The known wood energy databases on Asia are FAO Forest Products Yearbooks, UN Energy Statistics Yearbooks and CEERD/AIT Energy-Environment Database. At the national level, some countries (e.g., Bangladesh, Myanmar, Nepal, Sri Lanka, Thailand) do have statistics on wood energy.

The word "fuelwood" in this part of the study represents the combination of primary fuelwood and its main derivative charcoal. Fuelwood from FAO and UN databases corresponds to the fuelwood originated only from the forests (does not include wood wastes or recycled wood), whereas fuelwood from CEERD/AIT databases also includes fuelwood from other sources such as trees in home garden and agricultural land and wood wastes. The main sources of CEERD/AIT database are national statistics, which include these other sources of fuelwood.


2.2 Description of the presentation of the database

In contrast to European/OECD countries, there are only three databases on wood energy for Asian countries currently available. These are:

1. FAO forest product Yearbook [FAO 1996]
2. UN energy statistics [UN 1996]
3. CEERD/AIT energy and environmental database.

The first two are published databases whereas the last one is a compilation of data from various published/prepared national statistics, reports and other secondary sources, but the compilation itself has not been published yet. Besides these, International Energy Agency (IEA) is planning to include biomass energy consumption of Asian countries for years 1994 and 1995 in its forthcoming publication, the Energy Statistics of non -OECD Countries.1 However, the data from IEA are not available at present.

Wood energy consumption data from the above mentioned sources are presented in tabular form. The presentation follows the same format as that used in the study "Overview of available data on wood energy in Europe/OECD". All tables have a list of 16 Asian countries on the y- axis and data on wood energy consumption and other relevant indicators are presented in x-axis2 . These 16 countries are grouped into three groups: South Asia, South East Asia and China. The data in the different tables are directly taken or calculated according to the following procedures:

1. Data on wood energy Consumption in physical unit (Table A.z.1)

These tables consist of total wood energy data expressed it terms of volumetric unit (thousand cubic meter). The data for these tables compiled as follows:

FAO Forest Products Yearbook (z =1)

FAO Forests Products Yearbook (FAO, 1994) provides domestic production, import and export of fuelwood and charcoal in volumetric unit (thousand cubic meter). Since we need wood energy consumption data, we can not directly copy the production figures as presented in the statistics. Hence, we first calculated wood energy supply data from the following relationships:

Wood energy supply = Domestic production + imports - Exports

With an assumption that there is no transportation and distribution losses of wood energy, wood energy supply equals to wood energy consumption.

UN energy statistics (z = 2)

In contrast, UN energy statistics presents fuelwood and charcoal consumption data in different units. Fuelwood consumption is presented in cubic meter, while charcoal is presented in tonne. However, domestic production and export of charcoal are already included into the domestic fuelwood production. Imported charcoal is converted into equivalent fuelwood and presented in cubic meter. Hence, total fuelwood consumption is given as:

Fuelwoodtotal (cubic meter) = Fuelwood (cubic meter) + Imported charcoal (in tonne)/(eff * d)3

where,

eff = Factor converting fuelwood to charcoal or charcoal kiln efficiency; the value taken here is 0.2254.

d = Factor converting volume to weight of fuelwood or density of fuelwood on dry basis, the value
      taken here is 0.725.

Only a few Asian countries import charcoal, and the imported amount is very small compared to the domestic production.

AIT energy environmental database (z = 3)

In the case of the AIT database, both fuel wood and charcoal are presented in mass unit (thousand tonne). They are converted into volume unit as follows:

Fuelwoodtotal (cubic meter) = Fuelwood (tonne)/d + imported charcoal (in tonne) )/(eff * d)

where "eff" and "d" have the same values as in the UN statistics.

2. Data on wood energy share in total forest removals (Table A.z.2)

These tables present the share (in percent) of wood energy in total forest removals. Wood energy share in total forests removals represents the ratio between the amount of fuelwood production and total round wood production (both presented in volumetric units) within the country. However, round wood production data is available only in FAO forest products yearbook. Hence, the same data are used for calculating this indicator for the other two databases.

3. Total wood energy consumption in energy unit (Table A.z.3)

Data in these tables are presented in terms of energy unit (peta joule). Conversion factor from volumetric unit to energy unit for different countries and in the cases of different databases are given in Table 2.1.

4. Share of biomass energy consumption in total energy consumption

These tables present the share of biomass energy (in percent) in total energy consumption. However, biomass energy consumption data are not available from the FAO database, so these indicators are not calculated for the FAO database. Total energy consumption data for calculating these indicators in the case of the UN and AIT databases were taken from the respective databases.

5. Share of wood energy consumption in total biomass energy consumption

These tables present the share of wood energy (in percent) in total biomass energy consumption. It represents the ratio of total wood energy consumption to the total biomass energy consumption. However, as the biomass energy consumption data are not available for the FAO database, this indicator has not been calculated for the FAO database.

6. Share of wood energy consumption in total energy consumption

These tables gives the ratio of total wood energy consumption to total energy consumption. The calculation of these indicators for the FAO database uses the total energy consumption figure from UN sources.

Table 2.1: Heat value of fuelwood (TJ/Thousand Cubic Meter)

Country

FAO
Database

UN
Database

CEERD/AIT
Database

Bangladesh

9.6715

9.6715

9.6715

Bhutan

9.6715

9.6715

9.6715

Cambodia

9.6715

9.6715

9.6715

China

9.6715

9.6715

9.6715

India

9.6715

9.6715

9.6715

Indonesia

9.6715

9.6715

9.6715

Malaysia

9.6715

9.6715

9.6715

Maldives

9.6715

9.6715

9.6715

Myanmar

9.6715

9.6715

9.6715

Laos

9.6715

9.6715

9.6715

Nepal

9.6715

9.6715

11.7132

Pakistan

9.6715

9.6715

9.6715

Philippines

9.6715

9.6715

9.6715

Sri Lanka

9.6715

9.6715

11.5652

Thailand

9.6715

9.6715

11.587

Vietnam

9.6715

9.6715

9.6715

Source: UN and AIT.

 

7. Consumption of wood energy in various sector in physical unit

These tables present the wood energy consumption data at the sectoral level in physical unit (volumetric unit). The sectors considered here are Industry, Residential/commercial and others.

8. Consumption of wood energy in various sector in energy unit

These tables present wood energy consumption data at the sectoral level in energy unit (peta joule).


2.3 Description of the various databases

2.3.1. FAO Forest Products Yearbook: the data source of FAO wood energy database

FAO Forest Products Yearbook, an annual publication of FAO in Rome, contains time series data (for the past 12 years) on production and trade of products from forests. In this study, two yearbooks were used. The first (the 48th issue), published in 1996, contains data for 1983-1994 and was used for the data for this period. The second (the 45th issue), published in 1993, contains data for 1980-1991 and was used for the data for 1980-1982.

Structure of the database

The FAO yearbook presents production and trade figures of various types of forest products (e.g., roundwood, fuelwood, and wood derivatives). In the case of fuelwood, the statistics presents data for fuelwood and charcoal separately as well as jointly. This study considers data for fuelwood from "fuelwood + charcoal" category of the statistics.

Data collection methods

Data of FAO statistics are collected by means of questionnaires send to concerned departments of all countries in the world. However, in the absence of official replies of the questionnaires, data are either estimated by FAO or obtained from other sources. The data for all countries under this study are estimated data (not the real data) and are subjected to change in the next issues of FAO Forest Product Yearbook if suggested officially by the governments or new information were available from any other sources. The estimates of fuelwood production data in this statistics based on the per capita fuelwood production and population growth rate.

Definitions and terminologies

The definitions of forest products follow the classification and definitions of forest products, FAO, Rome, 1982. However, there is no explicit definitions of fuelwood. This study also follows the definitions of fuelwood as stated in van den Broek (1997). However, Broek (1997) is not clear whether the fuelwood corresponds only for the fuelwood from natural forests or from both natural and on-farm forests (e.g., trees in home garden, agricultural land etc.). This study assumes that fuelwood data from FAO statistics refers to the fuelwood from all types of forests i.e., natural, private, social or community forests. The statistics however, defines charcoal. According to which, charcoal is "wood in the rough (from trunks and branches of trees) to be used as fuel for purposes such as cooking, heating or power production. Wood for charcoal, pit kilns and portable ovens is included." But, it is amazing! this in fact, is the definition of fuelwood not of charcoal.

2.3.2. Energy Statistics Yearbook--the data source for UN wood energy database

Energy Statistics Yearbook is an annual publication of the United Nations, published by Department of Economic and Social Information and Policy Analysis. This statistics presents time series (for the past 4 years) data on production, trade and consumption of various types of energy commodities for the countries all over the world. Since this statistics presents data for past four years and the data of the earlier issues are always revised in the new issues, this study uses various issues of this statistics. For example, Energy Statistics Yearbook, 1983 (published in 1985) which presents data for years 1980-1983, was used for data for year 1980. Similarly subsequent issues were used for the data till 1991. Since the latest available issue is "Energy Statistics Yearbook, 1994 (published in 1996), data for the 1992-1994 period were also taken from this issue.

Structure of the database

This statistics includes both conventional and biomass energy commodities. The conventional commodities included in the statistics are coal (hard coal, lignite, coke, peat, hard coal briquettes and lignite and peat briquettes), petroleum (crude petroleum, LPG, aviation gasoline, motor gasoline, kerosene, jet fuels, gas-diesel oils, residual fuel oil), gas (natural gas, other gas) and electricity (hydro, thermal, nuclear). The biomass fuels included in the statistics are fuelwood, charcoal and Bagasse. Data for each type of fuel and aggregate data for the total mix of conventional fuels are provided for individual countries as well as summarized into regional and world tables. There are altogether 38 tables in the statistics, of which Table 13 provides production and trade of biomass energy.

Data collection methods

The data in this statistics are compiled primarily from annual questionnaires distributed by the United Nations Statistical Division and supplemented by official national statistical publications. Where the official data are not available or are inconsistent, estimates are made by the Statistical Division based on governmental, professional or conventional materials. Estimates include, but are not limited to, extrapolated data based on partial year information, use of annual trends.

Definitions and terminologies

Fuelwood in this statistics is defined as "all wood in the rough used for fuel purpose. Fuelwood production data include the portion used for charcoal production, using a factor of 6 to convert from a weight basis to the volumetric equivalent (metric tons or cubic meters) of charcoal". Similarly, charcoal is defined as "solid residue consisting mainly of carbon obtained by the destructive distillation of wood in the absence of air". Biomass fuel in this statistics refer to fuelwood, charcoal, Bagasse, animal, vegetal and other wastes.

2.3.3. CEERD/AIT Energy-Environment Database

Center for Energy-Environment Research and Development (CEERD)6 , a center involved in research and development activities on energy and environmental field since 1986 at Asian Institute of Technology, has established a regional database on energy and environment for Asia and pacific countries. The database currently have data on energy and environment for 22 countries. The database is managed through a fox-pro based computer software called Database Administration Variable Output and Input Data (DBA_VOID). In this database, a separate group has been created for wood energy data. Although attempts have been made to gather wood energy data and information from different countries, only a few countries (Nepal, Sri Lanka and Thailand) have a complete time series on wood energy data, whereas for the rest of the countries have only partial data (data for a few years).

Structure of the database

The database presents data tables in aggregated and detailed forms. Aggregated tables presents main biomass energy commodities such as fuelwood, charcoal, agricultural residues, dung, biogas, municipal wastes and wood derived liquid fuel (e.g., black liquor, ethanol, methanol) in columns and time series data in rows. Data tables are designed for each type of activities or flow like resources/reserves, production, trade (imports/exports), total supply, transformation and final consumption. Consumption data are also presented by types of economic sectors (e.g., household sector, commercial and service sector, industrial sector and others). Detailed tables are aimed to provide in-depth information of a particular type of fuel or activity. For example, fuel wood is divided into different components such as primary fuelwood, wood residues, sawdust, furthermore production of fuelwood is disaggregated according to its sources such as fuelwood from natural forests, fuelwood from on-farm forests etc. However, the existing data mostly correspond to the aggregated tables.

Data collection methods

The main characteristics of CEERD/AIT energy-environment database is that no data based on estimation. Whatever data are available are taken from the published or prepared (but not published) statistics of national level institutions. Most of the existing data are taken from regular publications and provides time series, however, some data are taken from special studies, reports and correspond to the particular point of time. The main data sources for wood energy data in CEERD/AIT energy-environment database are summarized in Table 2.2.

Definitions and terminologies

The definition of terminologies relevant to this study used in this CEERD/AIT energy-environment database are as follows:

Biomass fuels: all the organic fuels from biological origin used for energy purposes are referred as biomass fuels. It includes all terrestrial and aquatic vegetation, its residues such as fuelwood, twigs, dead leaves, shell; cultivated crops and their residues like cereal straw, seed-husks, Bagasse; livestock products and their residues (e.g., dung).

Biomass energy: energy derived from the combustion of biomass fuels are called biomass energy.

Wood fuel: all types of lignocellulosic material derived directly and indirectly from plants, trees, shrubs, and herbaceous plant grown in forest as well as non-forest lands and used for fuel purpose. The main components of woodfuels are fuelwood, charcoal and wood derived fuels (e.g., black liquor, methanol, ethanol).

Wood energy: energy derived from woodfuels are known as wood energy.

Fuelwood: wood in rough produced from forests as well as non-forests and used solely for fuel purposes. Fuelwood includes twiggs, branches, wood chips, pellets and power derived from natural or other forest or even non forests area (e.g. home garden), industrial wood residues and recovered wood.

Charcoal: it is a solid residue derived from carbonization, distillation, pyrolysis and torrefaction of wood (from trunks and branches of trees) and wood by-products using pit, brick and metal kilns. It includes also charcoal briquettes made from wood-based charcoal.


2.4 Comparison of various databases

This section presents a comparative analysis of wood energy databases used in this study. A careful observation of data tables presented in Appendix 1, reveals that there is a big deviation from among the figures from various databases. Data on tables (Tables A.z.1, where z refers different databases) corresponding to the fuelwood consumption, indicate that the absolute value of fuelwood consumption from FAO database were increasing smoothly in all Asian countries selected under the study. However, this is not the case in other two databases. In UN databases (Table A.2.1 in Appendix 1), absolute amounts of fuelwood consumption were found to decrease in some years for Bangladesh, Bhutan, Laos, Thailand, China and Myanmar. There exist a big drop in the total fuelwood consumption from year 1982 to 1983 in Bangladesh and a big jump from year 1991 to 1992 in Thailand in UN database. The reason for this discrepancy in the case of Bangladesh may be the change of data sources of UN energy statistics. As mentioned in the table notes of UN Energy Statistics Yearbooks, it seems that UN statistics took fuelwood consumption data from FAO Forest Products Yearbook till 1982 and took from other sources thereafter. However, the reason for the discrepancy in the case of Thailand is unknown. The same phenomenon as in the case of UN database was also observed in CREED/AIT database (see Table A.3.1 in Appendix 1). Absolute amount of fuelwood consumption was found to be decreased in some years in most of the countries with time series data.

The variation in fuelwood consumption data from various databases can be analyzed with the help of Tables A.z.2 in Appendix-1. These tables presents the ratio of fuelwood consumption from various sources to the round wood production from FAO forest products yearbook (i.e., with respect to a common denominator). Comparing the indicators given in tables A.1.2, A.2.2 and A.3.2, it can be found that, a very big deviation (more than 2 times) occurred in fuelwood consumption data from FAO and UN databases in Bangladesh during 1983-1994, Bhutan during 1980-1994, and Thailand during 1992-1994. A significant difference (more than 1.2 times) was also observed in the case Nepal, Pakistan and Sri Lanka. Note that, for these countries, the sources of UN statistics are national sources rather than FAO. For the rest of the countries, the difference is not significant as UN statistics eventually took data from FAO statistics. In the case of fuelwood consumption data from FAO and CEERD/AIT databases, a large (more than 1.5 times) difference observed in Bangladesh, Myanmar, Sri Lanka, Thailand (1992-1994) and Vietnam. From these deviations, one can clearly come to a conclusion that there exits a very big difference in fuelwood consumption data originated from FAO and national statistics.

On the other hand, the shares of wood energy in total energy consumption from FAO and UN databases are comparable in most countries. However, these figures differs significantly in the case of CEERD/AIT databases.

A better comparison of fuelwood consumption data from various sources is possible for year 1994, as data for more countries are available from CEERD/AIT databases in this year. As shown as in Table 2.3, total fuelwood consumption data on South Asian countries are comparable in FAO and UN databases expect on Bangladesh. However, fuelwood consumption data are higher in the case of CEERD/AIT data for the reason as mentioned above.

In South-East Asian countries, there exists only a smaller variation in total fuel wood consumption data between FAO and UN databases except in Thailand. In fact, these data are comparable among all sources except in Indonesia and Thailand (see Table 2.4).

Fuelwood consumption data from FAO and UN databases are close to each others for China, but this is not the case for data from CEERD/AIT statistics (see Table 2.5).

Although, there is a big variation in total fuelwood consumption among the data from various sources, the variation is not as big as in the case of European/OECD countries, where total fuelwood energy consumption data varies from 2 to 6 times among the various sources (van den Broek, 1997).

Table 2.2: Main sources of wood energy data in CEERD/AIT energy-environment database

Country

Data Sources (Institutions)

Bangladesh

1.  Bangladesh Bureau of Statistics
2.  Ministry of Planning
3.  Forestry Department
4.  Bangladesh Agricultural Research Council

Bhutan

1.  Department of Power
2.  Forest Department
3.  Ministry of Agricultural

Cambodia

1.  Department of Forest and Wildlife
2.  Ministry of Energy and Mines

China

1.  Energy Research Institute, State planning Commissions
2.  Research Institute of Tropical Forestry
3.  Chinese Academic of Agricultural Research
4.  Ministry of Agricultural, Animal Husbandry and Fishery

India

1. Ministry of Environment and Forests
2.  Ministry of Non-Conventional Energy Sources
3.  Tata Energy Research Institute

Indonesia

1.  Department of Energy and Electricity
2.  Institute of Technology Bangdung

Malaysia

1.  Ministry of Science, Technology and Environment
2.  Economic Planning Unit, Ministry of Prime Minister
3.  Forest Research Institute Malaysia

Maldives

1.  Ministry of Fisheries and Agricultural
2.  Ministry of Planning

Myanmar

1.  Ministry of Energy
2.  Forest Department
3.  Ministry of National Planning and Economic Development

Laos

1.  State Planning Commission
2.  Department of Forestry, Ministry of Agricultural

Nepal

1.  Ministry of Forest and Soil Conservation
2.  Water and Energy Commission Secretariat (WECS)
3.  Central Bureau of Statistics

Pakistan

1.  Pakistan Forest Institute
2.  Energy Wing, Ministry of Planning & Development
3.  Department of Forestry
4.  Ministry of Petroleum and Natural Resources

Philippines

1.  Department of Energy (DOE)
2.  Department of Environment and Natural Resources (DENR)
3.  National Statistical Coordination Board

Sri Lanka

1.  Ceylon Electricity Board
2.  Ministry of Irrigation, Power and Energy
3.  Central bank of Sri Lanka

Thailand

1.  Department of Energy Development and Promotion
2.  National Energy Policy Office
3.  Royal Forest Department (RFD)
4.  Ministry of Agricultural and Co-operatives

Vietnam

1.  Institute of Energy
2.  Forest Science Institute of Vietnam

Table 2.3: Total amount of wood energy in databases per South Asian country in 1994 (PJ)

  

FAO

UN

CEERD/AIT

South Asia

3,486

3,031

  

Bangladesh

299

57

  

Bhutan

13

12

  

India

2,628

2,603

3,405

Maldives

  

  

  

Nepal

192

174

196

Pakistan

268

248

508

Sri Lanka

86

92

148

Table 2.4: Total amount of wood energy in databases per South Asian country in 1994 (PJ)

  

FAO

UN

CEERD/AIT

South East Asia

2,843

3,124

  

Cambodia

64

63

82

Indonesia

1,454

1,438

778

Laos

43

42

  

Malaysia

94

91

83

Myanmar

196

194

  

Philippines

349

343

291

Thailand

353

664

351

Vietnam

291

288

386

Table 2.5: Total amount of wood energy in databases China (PJ)

  

FAO

UN

CEERD/AIT

China

1,992

1,974

3,233


2.5 Best estimate for wood energy use

What is the "best" estimate for wood energy use? This is a not a very easy question to answer. However, it is necessary to choose a particular database when making an analysis as mixing data from various databases would not only distort the result but would also give wrong signals to policy makers. Before answering the question on the best estimate for wood energy use, it is necessary to identify the strong and weak points of the three databases described in this study.

2.5.1 FAO database

Strong points

Weak points:

2.5.2 UN Database

Strong points

Weak points:

2.5.3 CEERD/AIT Database

Strong points

Weak points

From the comparison of various databases in terms of their merits and demerits, it can be concluded that no single wood energy database is favored for analysis purposes. For making regional overview and analysis, the FAO database provides more consistent set of data that are available for all countries covered by the study. On the other hand, the CEERD/AIT database are most useful for making country specific analysis, in particular for countries where a comprehensive set of data exist. The UN database provides time series data on total energy consumption. Otherwise, it is less useful than the other two databases.

_______________
1 John Denman, (IEA) personal communication, 1997.
2  The presentation of the data follows the same format as used in the similar study for Europe/OECD conducted by Richard van den Broek. According to that format, all the tables in the appendices are numbered as A.z.x., with z referring to the number of database (from = 1 to 5) and x to the number of the table (from 1 to 4). A refers to "appendix".
3  In the UN statistics, charcoal in tonne is converted to fuelwood in cubic meter by directly multiplying by a factor of 6
.
4  This value is taken as an average efficiency of charcoal kilns operating in different Asian countries.
The corresponding average moisture contents assumed in FAO statistics is 20% (wet basis) [FAO, 199], whereas it is 20-30 in UN statistics [UN, 1994].
CEERD was known before as Energy Planning Central Consultant Team (EPCCT).
Please refer to Table 4 (Total energy requirement) of UN Energy Statistics Yearbook, 1981 to 1989 issues.


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