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The Comprehensive Electricity Competition Act: A Comparison of Model Results

Preface

The model comparison analysis described in this report was produced by the Energy Information Administration (EIA), applying the National Energy Modeling System (NEMS) to assumptions specified by the U.S. Department of Energy (DOE), Office of Policy, in its May 1999 publication, Supporting Analysis for the Comprehensive Electricity Act, or provided subsequently by the Office of Policy. This report was prepared in response to a request from Secretary of Energy Bill Richardson for EIA to "use the NEMS to evaluate the effects of the Administration's restructuring proposal using the parameter settings and assumptions from the POEMS (Policy Office Electricity Modeling System) analysis."

NEMS is an integrated energy-economy modeling system for U.S. energy markets, developed by the EIA as a policy analysis tool to provide an integrated framework for policymakers to understand the implications of proposed policies and alternative assumptions concerning energy markets. NEMS is used by EIA's Office of Integrated Analysis and Forecasting (OIAF) to produce a reference case and a range of alternative projections for the midterm future, which were published most recently in the Annual Energy Outlook 1999 (AEO99).

The Comprehensive Electricity Competition Act: A Comparison of Model Results was prepared by OIAF, under the direction of Mary J. Hutzler (mary.hutzler@eia.doe.gov, 202-586-2222), Director, Office of Integrated Analysis and Forecasting, and Scott Sitzer (scott.sitzer@eia.doe.gov, 202-586-2308), Director, Coal and Electric Power Division. General questions may also be addressed to Andy S. Kydes (akydes@eia.doe.gov, 202-586-2222), Senior Technical Advisor. Detailed questions about the analysis may be addressed to the following analysts.

Executive Summary, Chapters 1, 2, and 4
Alan Beamon (joseph.beamon@eia.doe.gov, 202-586-2025)

Chapter 3
Pete Whitman (pete.whitman@eia.doe.gov, 202-586-1940)

General Modeling and Analysis
Laura Church (laura.church@eia.doe.gov, 202-586-1494)
Jeff Jones (jeffrey.jones@eia.doe.gov, 202-586-2038)