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- W2274440330 abstract "This report describes the modeling approach, data sources, and procedures used to estimate and forecast electricity and fossil fuel use in US manufacturing. The forecasts are required by several models in the Emissions and Control Cost Integrated Model Set (ECIMS) used by the National Acid Precipitation Assessment Program (NAPAP). The theoretical approach used to develop the Industrial Regional Activity and Energy Demand (INRAD) model combines statistically estimated energy demand equations with forecasts of industrial activity, energy prices, technology penetration, and state-level benchmarks to compute state-specific and industry-specific forecasts of electricity and fossil fuel demand. These INRAD forecasts, in turn, drive the model of utility electricity generation and, after further disaggregation, the models of industrial emissions due to fossil fuel use. The model for estimating energy demand equations is based on the generalized Leontief functional form, with factor-biased technical change and constant returns to scale imposed. The assumption to model fossil fuel and electricity use jointly is supported by statistical estimates. Separate demand equations are estimated only for energy-intensive industries or subsectors. 17 refs., 14 figs., 11 tabs." @default.
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- W2274440330 date "1991-03-01" @default.
- W2274440330 modified "2023-09-27" @default.
- W2274440330 title "Sectoral electricity and fossil fuel demand in US manufacturing: Development of the Industrial Regional Activity and Energy Demand (INRAD) model" @default.
- W2274440330 hasPublicationYear "1991" @default.
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