EconPapers    
Economics at your fingertips  
 

The National Energy Modeling System: A Large-Scale Energy-Economic Equilibrium Model

Steven A. Gabriel (), Andy S. Kydes and Peter Whitman
Additional contact information
Steven A. Gabriel: University of Maryland, College Park, Maryland 20742
Andy S. Kydes: Energy Information Administration, U.S. Department of Energy, Washington, DC
Peter Whitman: Pace Global Energy Services, Fairfax, Virginia

Operations Research, 2001, vol. 49, issue 1, 14-25

Abstract: The National Energy Modeling System (NEMS) is a large-scale mathematical model that computes equilibrium fuel prices and quantities in the U.S. energy sector and is currently in use at the U.S. Department of Energy (DOE). At present, to generate these equilibrium values, NEMS iteratively solves a sequence of linear programs and nonlinear equations. This is a nonlinear Gauss-Seidel approach to arrive at estimates of market equilibrium fuel prices and quantities. In this paper, we present existence and uniqueness results for NEMS-type models based on a nonlinear complementarity/variational inequality problem format. Also, we document mathematically, for the first time, how the inputs and the outputs for each NEMS module link together.

Keywords: Mathematical programming; complementarity: energy-economic application for the nonlinear complementarity problem; Government; energy policies: general framework for determining energy policies. (search for similar items in EconPapers)
Date: 2001
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (41)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.49.1.14.11195 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:49:y:2001:i:1:p:14-25

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().

 
Page updated 2025-04-22
Handle: RePEc:inm:oropre:v:49:y:2001:i:1:p:14-25