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Assumptions to the Annual Energy Outlook 2008
 

Coal Market Module

The NEMS Coal Market Module (CMM) provides projections of U.S. coal production, consumption, exports, imports, distribution, and prices. The CMM comprises three functional areas: coal production, coal distribution, and coal exports.  A detailed description of the CMM is provided in the EIA publication, Coal Market Module of the National Energy Modeling System 2008, DOE/EIA-M060(2008) (Washington, DC, 2008).

Key Assumptions 

Coal Production 

The coal production submodule of the CMM generates a different set of supply curves for the CMM for each year of the projection. Forty separate supply curves are developed for each of 14 supply regions, nine coal types (unique combinations of thermal grade and sulfur content), and two mine types (underground and surface). Supply curves are constructed using an econometric formulation that relates the minemouth prices of coal for the supply regions and coal types to a set of independent variables.  The independent variables include: capacity utilization of mines, mining capacity, labor productivity, the user cost of capital of mining equipment, and the cost of factor inputs (labor and fuel). 

The key assumptions underlying the coal production modeling are: 

  • As capacity utilization increases, higher minemouth prices for a given supply curve are projected.  The opportunity to add capacity is allowed within the modeling framework if capacity utilization rises to a pre-determined level, typically in the 80 percent range.  Likewise, if capacity utilization falls, mining capacity may be retired.  The amount of capacity that can be added or retired in a given year depends on the level of capacity utilization, the supply region, and the mining process (underground or surface).  The volume of capacity expansion permitted in a projection year is based upon historical patterns of capacity additions. 
  • Between 1980 and 1999, U.S. coal mining productivity increased at an average rate of 6.7 percent per year from 1.93 to 6.61 tons per miner per hour.  The major factors underlying these gains were interfuel price competition, structural change in the industry, and technological improvements in coal mining.1  Since 1999, however, growth in overall U.S. coal mining productivity has slowed substantially, decreasing at a rate of 0.8 percent per year to 6.26 tons per miner hour in 2006.  By region, productivity in most of the coal producing basins represented in the CMM has remained essentially constant during the past 5 years.  In the Central Appalachian coal basin, which has been mined extensively, productivity declined by a significant 28 percent between 1999 and 2006, corresponding to an average decline of 4.6 percent per year. 

    Over the projection period, labor productivity is expected to remain near current levels in most coal supply regions, reflecting the trend of the previous five years. Higher stripping ratios and the added labor needed to maintain more extensive underground mines offset productivity gains achieved from improved equipment, automation, and technology. Productivity in some areas of the East is projected to decline as operations move from mature coalfields to marginal reserve areas.  Regulatory restrictions on surface mines and fragmentation of underground reserves limit the benefits that can be achieved by Appalachian producers from economies of scale.  

    In the CMM, different rates of productivity improvement are assumed for each of the 40 coal supply curves used to represent U.S. coal supply. These estimates are based on recent historical data and expectations regarding the penetration and impact of new coal mining technologies.2 Data on labor productivity are provided on a quarterly and annual basis by individual coal mines and preparation plants on the U.S. Mine Safety and Health Administration’s Form 7000-2, “Quarterly Mine Employment and Coal Production Report” and the Energy Information Administration’s Form EIA-7A, Coal Production Report.  In the reference case, overall U.S. coal mining labor productivity increases at rate of 0.6 percent a year between 2006 and 2030. Reference case projections of coal mining productivity by region are provided in Table 67

    In theAEO2008 scenarios, both the wage rate for U.S. coal miners and mine equipment costs are assumed to remain constant in 2006 dollars (i.e., increase at the general rate of inflation) over the projection period.  This assumption primarily reflects the recent trends in these cost variables. 
Figure 10. Coal Supply Regions.  Need help, contact the National Energy Information Center at 202-586-8800.
Figure 11. Coal Demand Regions.  Need help, contact the National Energy Information Center at 202-586-8800.

Coal Distribution 

The coal distribution submodule of  the CMM determines the least-cost (minemouth price plus transportation cost) supplies of coal by supply region for a given set of coal demands in each demand sector using a linear programming algorithm.  Production and distribution are computed for 14 supply (Figure 10) and 14 demand regions (Figure 11) for 49 demand subsectors. 

The projected levels of coal-to-liquids, industrial steam, coking, and residential/commercial coal demand are provided by the petroleum market, industrial, commercial, and residential demand modules, respectively; electricity coal demands are projected by the EMM; coal imports and coal exports are projected by the CMM based on non-U.S. coal supply availability, endogenously determined U.S. import demand, and exogenously determined world coal demand (non-U.S.). 

The key assumptions underlying the coal distribution modeling are: 

  • Base-year (2006) transportation costs are estimates of average transportation costs for each origin-destination pair without differentiation by transportation mode (rail, truck, barge, and conveyor).  These costs are computed as the difference between the average delivered price for a demand region (by sector and for export) and the average minemouth price for a supply curve. Delivered price data are from Form EIA-3, Quarterly Coal Consumption Report-Manufacturing Plants, Form EIA-5, Quarterly Coke Consumption and Quality Report, Coke Plants, Form EIA-423, Monthly Cost and Quality of Fuels for Electric Plants Report, Federal Energy Regulatory Commission (FERC) Form 423, Monthly Report of Cost and Quality of Fuels for Electric Plants, and the U.S. Bureau of the Census’ Monthly Report EM-545.  Minemouth price data are from Form EIA-7A, Coal Production Report
  • For the electricity sector only, a two-tier transportation rate structure is used for those regions which, in response to rising demands or changes in demands, may expand their market share beyond historical levels.  The first-tier rate is representative of the historical average transportation rate. The second-tier transportation rate is used to capture the higher cost of expanded shipping distances in large demand regions.  The second tier is also used to capture costs associated with the use of subbituminous coal at units that were not originally designed for its use.  This cost is estimated at $0.10 per million Btu (2000 dollars).3
  • Coal transportation costs, both first- and second-tier rates, are modified over time by two regional (east and west) transportation indices.  The indices are measures of the change in average transportation rates, on a tonnage basis, that occurs between successive years for rail and multi-mode coal shipments.  An east index is used for coal originating from eastern supply regions while a west index is used for coal originating from western supply regions.  The indices are calculated econometrically as a function of railroad productivity, the user cost of capital of railroad equipment, average contract duration, and average distance (west only).  Although the indices are derived from railroad information, they are universally applied to all domestic coal transportation movements within the CMM.  In the AEO2008 reference case, eastern coal transportation rates are projected to be 1 percent higher in 2030 and western rates are projected to be 2 percent higher in 2030 compared to 2006. 
  • Railroad productivity, measured in freight ton-miles per employee per year, is expected to increase at an average rate of 2.9 percent per year for the east and 1.8 percent per year for the west from 2006.  The user cost of capital for railroad equipment is calculated from the PPI for railroad equipment, projected exogenously to remain flat in real terms, and accounts for the opportunity cost of money used to purchase equipment, depreciation occurring as a result of use of the equipment (assumed at 10 percent), less any capital gain associated with the worth of the equipment.  Contract duration is held constant at 2001 levels over the projection reflecting the assumption that new contracts will continue to be, on average, less than 5 years in length.  For the west, distance is held constant over the projection reflecting that distance is already implicitly accounted for in the model by using the origin-destination pair transportation rate structure.  The transportation rate indices for seven AEO2008 cases are shown in Table 68
  • Major coal rail carriers have implemented fuel surcharge programs in which higher transportation fuel costs have been passed on to shippers.  While the programs vary in their design, the Surface Transportation Board (STB), the regulatory body with limited authority to oversee rate disputes, has recommended that the railroads agree to develop some consistencies among their disparate programs and has likewise recommended closely linking the charges to actual fuel use.  The STB has cited the use of a mileage-based program as one means to more closely estimate actual fuel expenses. 
  • For AEO2008, representation of a fuel surcharge program is included in the coal transportation costs.  For the west, the methodology is based on BNSF Railway Company's mileage-based program. The surcharge becomes effective when the projected nominal distillate price to the transportation sector exceeds $1.25 per gallon.  For every $0.06 per gallon increase above $1.25, a $0.01 per carload mile is charged.  For the east, the methodology is based on CSX Transportation's mileage-based program.  The surcharge becomes effective when the projected nominal distillate price to the transportation sector exceeds $2.00 per gallon.  For every $0.04 per gallon increase above $2.00, a $0.01 per carload mile is charged.  The number of tons per carload and the number of miles vary with each supply and demand region combination and are a pre-determined model input.  The final calculated surcharge (in constant dollars per ton) is added to the escalator-adjusted transportation rate. For every projection year, it is assumed that 100 percent of all coal shipments are subject to the surcharge program. 
  • Coal contracts in the CMM represent a minimum quantity of a specific electricity coal demand that must be met by a unique coal supply source prior to consideration of any alternative sources of supply.  Base-year (2006) coal contracts between coal producers and electricity generators are estimated on the basis of receipts data reported by electric utilities on FERC Form 423, Monthly Report of Cost and Quality of Fuels for Electric Plants, and by nonutility generators on Form EIA-423, Monthly Cost and Quality of Fuels for Electric Plants Report.  Coal contracts are specified by CMM supply region, coal type, demand region, and whether or not a unit has flue gas desulfurization equipment.  Coal contract quantities are reduced over time on the basis of contract duration data reported by electric utilities on FERC Form 580, “Interrogatory on Fuel and Energy Purchase Practices,” historical patterns of coal use, and information obtained from various coal and electric power industry publications and reports. 
  • Electric generation demand received by the CMM is subdivided into “coal groups” representing demands for different sulfur and thermal heat content categories.  This process allows the CMM to determine the economically optimal blend of different coals to minimize delivered cost, while meeting emissions requirements. Similarly, nongeneration demands are subdivided into subsectors with their own coal groups to ensure that, for example, lignite is not used to meet a coking coal demand. 
  • Coal-to-liquids (CTL) facilities are assumed to be economic when low-sulfur distillate prices reach high enough levels.  These plants are assumed to be co-production facilities  with generation capacity of 652 MW and the capability of producing 50,000 barrels of liquid fuel per day.  The technology assumed is similar to an integrated gasification combined cycle, first converting the coal feedstock to gas, and then subsequently converting the syngas to liquid hydrocarbons using the Fisher-Tropsch process.  Of the total amount of coal consumed at each plant, 46 percent of the energy input is retained in the product with the remaining energy used for conversion (38 percent) and for the production of power sold to the grid (17 percent).  

Coal Imports and Exports 

Coal imports and exports are modeled as part of the CMM’s linear program that provides annual projections of U.S. steam and metallurgical coal exports, in the context of world coal trade.  The linear program determines the pattern of world coal trade flows that minimize the production and transportation costs of meeting U.S. import demand and a pre-specified set of regional world coal import demands.  It does this subject to constraints on export capacity and trade flows. 

The key assumptions underlying coal export modeling are: 

  • The coal market is competitive.  In other words, no large suppliers or groups of producers are able to influence the price through adjusting their output.  Producers’ decisions on how much and who they supply are driven by their costs, rather than prices being set by perceptions of what the market can bear.  In this situation, the buyer gains the full consumer surplus. 
  • Coal buyers (importing regions) tend to spread their purchases among several suppliers in order to reduce the impact of potential supply disruptions, even though this may add to their purchase costs.  Similarly, producers choose not to rely on any one buyer and instead endeavor to diversify their sales. 
  • Coking coal is treated as homogeneous.  The model does not address quality parameters that define coking coals.  The values of these quality parameters are defined within small ranges and affect world coking coal flows very little. 

Data inputs for coal trade modeling: 

  • U.S. coal exports are determined, in part, by the projected level of world coal import demand.  World steam and metallurgical coal import demands for the AEO2008 cases are shown in Tables 69 and 70. 
  • Step-function coal export supply curves for all non-U.S. supply regions.  The curves provide estimates of export prices per metric ton, inclusive of minemouth and inland freight costs, as well as the capacities for each of the supply steps. 
  • Ocean transportation rates (in dollars per metric ton) for feasible coal shipments between international supply regions and international demand regions.  The rates take into account maximum vessel sizes that can be handled at export and import piers and through canals and reflect route distances in thousands of nautical miles. 

Coal Quality 

Each year the values of base year coal production, heat, sulfur and mercury (Hg) content and carbon dioxide emissions for each coal source in CMM are calibrated to survey data.  Surveys used for this purpose are the FERC Form 423, a survey of the origin, cost and quality of fossil fuels delivered to electric utilities, the Form EIA-423, a survey of the origin, cost and quality of fossil fuels delivered to non-utility generating facilities, the Form EIA-5  which records the origin, cost, and quality of coal receipts at domestic coke plants, and the Form EIA-3, which records the origin, cost and quality of coal delivered to domestic industrial consumers.  Estimates of coal quality for the export and residential/commercial sectors are made using the survey data for coal delivered to coking coal and  industrial steam coal consumers.  Hg content data for coal by supply region and coal type, in units of pounds of Hg per trillion Btu, shown in Table 71, were derived from shipment-level data reported by electricity generators to the Environmental Protection Agency in its 1999 Information Collection Request. The database included approximately 40,500 Hg samples reported for 1,143 generating units located at 464 coal-fired facilities.  Carbon dioxide emission factors for each coal type are shown in Table 71 in pounds of carbon dioxide emitted per million Btu.4 

The CMM projects steam and metallurgical coal trade flows from 17 coal-exporting regions of the world to 20 import regions for three coal types (coking, bituminous steam, and subbituminous).  It includes five U.S. export regions and four U.S. import regions.

Legislation and Regulations 

The AEO2008 reference case incorporates provisions of the Clean Air Act Amendments of 1990 as they apply to sulfur dioxide and nitrogen oxide emissions. EPA finalized the Clean Air Interstate Rule (CAIR) and the Clean Air Mercury Rule (CAMR) in March 2005, and both are represented in the reference case.  For affected states, CAIR further restricts emissions of sulfur dioxide beginning in 2010 to 3.6 million tons and nitrogen oxides beginning in 2009 to 1.5 million tons. Beginning in 2015, for affected states, tighter emission limits for sulfur dioxide (2.5 million tons) and nitrogen oxides (1.3 million tons) are required in Phase 2 of CAIR.  A nationwide cap for mercury of 38 tons per year beginning in 2010 and then 15 tons per year beginning in 2018 are specified in CAMR.  The reference case excludes any potential environmental actions not currently mandated such as carbon dioxide reductions or other rules or regulations not finalized. 

Coal Alternative Cases 

Coal Cost Cases 

In the reference case, coal mine labor productivity is assumed to increase on average by 0.6 percent per year through 2030 while miner wage rates and mine equipment costs remain constant in 2006 dollars.  Eastern and western railroad productivity is assumed to grow at an average rate of 2.9 and 1.8 percent respectively from 2006.  Railroad equipment costs are assumed to remain flat in real terms from 2006 levels.  In two alternative coal cost cases, productivity, average miner wages, and equipment cost assumptions were modified for 2009 through 2030 in order to examine the impacts on U.S. coal supply, demand, distribution and prices. 

In the low mining cost case, coal mine labor productivity is assumed to increase at an average rate of 3.7 percent per year through 2030.  Miner wages are assumed to decline in constant dollars by 1.0 percent per year.  Mine equipment costs and railroad equipment costs are projected to fall by 1.0 percent.  In the low mining cost case, eastern and western railroad productivity is assumed to grow at an average rate of 5.3 and 4.2 percent, respectively from 2006. 

In the high mining cost case, coal mine labor productivity is assumed to decline at an average rate of 3.0 percent per year through 2030. Miner wages are assumed to increase in constant dollars by 1.0 percent per year.  Mine equipment costs and railroad equipment costs are projected to increase by 1.0 percent.  In the high mining cost case, eastern railroad productivity is assumed to increase by 0.5 percent per year and western railroad productivity is assumed to decrease by 0.6 percent per year from 2006. 

For the coal cost cases, adjustments to the reference case coal mining and railroad productivity assumptions were based on variations in growth rates observed in the data for these industries since 1980.  The low and high coal cost cases represent fully integrated NEMS runs, with feedback from the Macroeconomic Activity, International, supply, conversion, and end-use demand modules.

 

Coal Market Module Notes