Energy Technology Assessment
Francisco Javier Aliaga Lordemann
No 8/2009, Documentos de trabajo from Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana
Abstract:
The aim of this paper seeks to introduce the basis of the energy economics models defined as a market equilibrium problems-mixed complementarily problem (MCP). This technique allows the integration of bottom-up programming models of the energy system into top-down general computable equilibrium models (CGE) of the overall economy. A complementarily scheme involves both primal and dual relationships, often doubling the number of equations and the scope of error. When the underlying optimization includes upper and lower bounds (many decision variables), the explicit treatment of associated income effects may become very complex. A convenient MCP formulation of both, top-down & bottom-up energy system models for energy policy analysis requires the uses of complementary methods to solve the economic equilibrium. Instituto de Investigaciones Socio - Económicas; IISEC
Keywords: Mathematical Programming; Mixed Complementarily; Top-Down/Bottom-Up; Instituto de Investigaciones Socio - Económicas; IISEC (search for similar items in EconPapers)
JEL-codes: C61 C68 D58 Q43 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2009-09-01
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.iisec.ucb.edu.bo/assets_iisec/publicacion/2009-8.pdf Full text (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:ris:iisecd:2009_008
Access Statistics for this paper
More papers in Documentos de trabajo from Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana Av 14 de septiembre 4807, La Paz, Bolivia. Contact information at EDIRC.
Bibliographic data for series maintained by Tirza Aguilar ( this e-mail address is bad, please contact ).