International Methane Emissions and Mitigation Data for EMF 21

Below is the methane data set of non-CO2 GHGs for the EMF 21 study. The data includes reference methane emissions for five major sources for 1990, 1995, 2000, 2010, and 2020 as well marginal abatement curves (MACs) for each sector by the defined regions for the study. All values are reported as 2000 US Dollars. Reference emissions for 2000 should be used to benchmark your model's emissions to that year. The MACs should be incorporated into your model for the multi-gas mitigation analysis based on the study's scenarios.

 

Reference Methane Baselines: 
 

The following Excel files contain the baselines for methane by sector for each region from 1990-2020. The data is in Gg of CH4 and MMTCE.

 BASELINES IN MMTCE                 BASELINES IN Gg of CH 4
 

The following Word files contain suggested economic drivers for estimating methane emissions. The drivers are taken from our experience in producing bottom-up inventories and projections according to IPCC good practice guidelines and from several published top-down multi-gas studies, which include these methane emission estimates. While the information is broken down by source category and may be too detailed for many models, we felt it was important to illustrate the types of economic activities that are associated with each source.
 

ECONOMIC DRIVERS
 

The table is divided by sector and gives options for the types of data that emission factors can be tied to in order to estimate emissions.The first column states the source of the methane or nitrous oxide emissions.The second briefly describes the source to give the modeler a better sense of how the emission source relates to economic activity.The third column gives suggested economic drivers (in order of preference) for top-down economic models with 50 to 100 year time horizons.The fourth column gives specific economic drivers for detail-rich, bottom-up models.The last column gives the source of the data used by EPA for modeling US projections for inventory and other reporting purposes.Where appropriate, columns are annotated to help make distinctions between developed and developing countries and any other type of distinctions useful to adjusting for regional differences or worldwide trends seen by emission/inventory experts.
 

Marginal Abatement Curves (Macs)

The sector links below represent the five major methane sources for which abatement cost data are available and allow you to download a group of zipped spreadsheets for each sector. The "Total 5 Sectors" link provides a sum of the five sectors, a list of the countries covered and their regional groupings, as well as the Indicators.xls file which lists country-specific energy prices.
 

TOTAL 5 SECTORS (zip file)

COAL (zip file)

OIL (zip file)

NATURAL GAS (zip file)

MANURE MANAGEMENT (zip file)

SOLID WASTE MANAGEMENT (zip file)
 

Files and Naming Convention (example for coal):
 

Below is a list of the files that should be un-zipped for the coal sector. The other sectors have the same file types and follow the same naming convention.
 

1) IMAC_Coal_C.xls Reports methane reference emissions and MAC data in absolute reductions in million metric tons of carbon equivalent (MMTCE) in the coal sector using a USD per ton of carbon equivalent ($/TCE) scale.
 

2) IMAC_Coal_%TCE.xls Reports MAC data in percentage reductions from the reference baseline in million metric tons of carbon equivalent (MMTCE) in the coal sector using a $/TCE scale.
 

3) IMAC_Coal_CH4.xls Reports methane reference emissions and MAC data in absolute reductions in Gigagrams (Gg) of methane in the coal sector using a USD per ton of methane ($/TCH4) scale.
 

4) IMAC_Coal_%tCH4.xls Reports MAC data in percentage reductions from the reference baseline in Gigagrams (Gg) of methane in the coal sector using a $/TCH4 scale.
 

Notes for (3) and (4): 1 Gg of methane equals 1 Kiloton (103 metric tons) of methane. The $/TCE and $/TCH4 are on different scales, i.e., $10/TCE is not equal to $10/TCH4.
 

Contents of Each Spreadsheet:
 

Each spreadsheet represents a source sector (coal, manure management, natural gas, oil, or solid waste management). The first tab, IntroPage, provides notes on the use of the data. The second tab, SectorBaselines, provides reference baseline emissions for 2000, 2010, and 2020. The third tab, Sector Totals %, proves MAC data for all regions as a global total for that sector in data tables for 2010 and 2020. Each subsequent tab is a different region.
 

The MACs are represented in either percentage terms or absolute terms. The data is reported in either $/TCE or $/TCH4 (both in 2000 USD). MACs are constructed by applying the average cost of abatement technologies to the country/regional baselines in that sector or sub-sector.
 

Each table presents MAC data according to a discount rate and tax rate used to calculate the marginal cost of the abatement technologies. The analysis is conducted for the following combinations of discount and tax rates, respectively: from a social perspective – 4 and 0 percent; 5 and 0 percent; 10 and 0 percent; and from various industry perspectives – 10 and 40 percent, 15 and 40 percent, and 20 and 40 percent.
 

Within each table, the MACs also vary according to an energy price. The analysis tested the MAC sensitivity to changes in base energy price (from –50% to +200%), both for electricity and natural gas (see the Indicators.xls file for a detailed list of country-specific energy prices).
 

The reference emissions are based on the following reports:
 

1) USEPA. 2001. Emissions and Projections of Non-CO2 Greenhouse Gases for Developed Countries: 1990-2010. Office of Air and Radiation, U.S. Environmental Protection Agency, Washington, D.C. Go to www.epa.gov/ghginfo/reports/index.htm
 

2) USEPA 2002.  Emissions and Projections of Non-CO2 Greenhouse Gases for Developing Countries: 1990-2020. DRAFT.  Office of Air and Radiation, U.S. Environmental Protection Agency, Washington, D.C. Note: This document is made available only to those in the EMF 21 study. Please do not distribute further without contacting EPA.
 

3) Various countries 3rd National Communications to the UNFCCC. Go to www.unfccc.org.
 

Note: Many countries reported their emission projections "with policies and measures", which in some cases made their projections flatten out from 2000 to 2020. In order to report reference emissions, i.e., without "with policies and measures" we adjusted the data. More information is in the Methodology Memo, see below.
 

Technology Characteristics:

  The following tables outline the technical and economic characteristics of each technology (or each point) on the methane and nitrous oxide MAC curve. The technical characteristics include the type of energy recovered (if applicable) and the reduction efficiency of the technology. The economic characteristics include capital costs, O&M rates and revenue generated from the technology. The tables also include any adjustment factors (such as labor rates or energy prices) used in the Net Present Value calculations. The first tab, “Intro”, provides notes on the use of the data and the definition of each variable. Each subsequent tab is a different sector.

Each table presents break even price for each technology by region according to a discount rate and tax rate used to calculate the MAC curves. The analysis is conducted for the following combinations of discount and tax rates, respectively: from a social perspective – 4 and 0 percent; 5 and 0 percent; 10 and 0 percent; and from various industry perspectives – 10 and 40 percent, 15 and 40 percent, and 20 and 40 percent.

TECHNOLOGY TABLES CH4 & N20
 

Please read the following short Methodology Memo for further information. See Appendix A for a list of the abatement options used in each sector.

METHODOLOGY MEMO

METHODOLOGY Presentation
 

For Questions on the overall study, contact: Francisco de la Chesnaye Phone: 202-564-0172; email:  delachesnaye.francisco@epa.gov
 

For Questions on the methane data, contact: Casey Delhotal Phone: 202-564-3529; Email:  Delhotal.Casey@epa.gov
 

The team who worked on this data set includes: Casey Delhotal, Francisco de la Chesnaye, & Elizabeth Scheehle (USEPA), Alexei Sankovski (ICF Consulting), Judith Bates & Ann Gardner (AEA Technology), and Chris Henricks (Ecofys).