Dynamic formulation of a top-down and bottom-up merging energy policy model

By Christoph W. Frei, P. Haldi, G. Sarlos. 2003

111 citations recorded by the source corpus.

Abstract The impact of energy policy measures is not restricted to the energy system and should therefore be analysed within an economy-wide framework, while keeping the essential details of the energy sector. The aim of this paper is to present new developments in the field of the consistent evaluation of indicators for the sustainability assessment of energy policy measures. Starting from the static concept of Bohringer (Energy Econ. 20 (1998) 233), this paper shows how the complementarity format can be used in computable general equilibrium (CGE) modelling for a dynamic formulation of bottom-up and top-down approach merging models. While a hybrid approach increases the credibility of CGE models in energy policy analysis by replacing the energy sector generic functional forms with a bottom-up activity analysis based on specific technologies, the endogenous formulation of investment decisions makes an explicit description of evolving specific capital stocks and technology mixes possible. Both features are essential when assessing effects of policy measures that may be affected by structural change—which is typically the case in the long-term assessment of energy policy measures.

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Citations in the corpus

The synthesis of bottom-up and top-down approaches to climate policy modeling : Electric power technologies and the cost of limiting US CO2 emissions (2006, methodology): “…bridges the bottom-up/top-down divide by integrating the detailed representation of energy technologies found in bottom-up models into CGE models’ equilibrium structure (Boehringer, 1998; Boehringer et al., 2003; Frei et al., 2003; Kumbaroglu and Madlener, 2003; McFarland et al., 2004).”
Mitigation Costs in a Globalized World: Climate Policy Analysis with REMIND-R (2010, background): “++49/331/288-2556, e-mail: leimbach@pik-potsdam.de”
The synthesis of bottom-up and top-down approaches to climate policy modeling: Electric power technology detail in a social accounting framework (2008, methodology): “5 These data are also used in Frei et al. (2003) .”
Assessment of Biomass Fuel Resource Potential And Utilization in Ethiopia: Sourcing Strategies for Renewable Energies (2012, background): “Resurgence of interest on production of renewable energy from biomass resources is thus geared varieties of social, economic, political, environmental and technical factors [4].”