Linking energy system and macroeconomic growth models

We compare two alternative approaches for coupling macroeconomic growth models (MGM) and energy system models (ESM). The hard-link approach integrates the techno-economics of the ESM completely into the MGM and solves one highly complex optimisation problem. The soft-link leaves the two models separate and energy supply functions are integrated into the MGM that are derived from the optimal solution of the ESM. The energy supply functions relate the price of energy computed with the ESM to the quantity of energy computed with the MGM. An iterative process exchanges price-quantity information between the models. Hence, the soft-link leads to an energy market equilibrium. But energy supply functions do not consider variable interest rates that influence the energy supply functions. This is due to the fact that ESMs are partial models that assume an exogenous interest rate; however the interest rate is computed endogenously in MGMs. This missing interaction leads to a capital market dis-equilibrium in the soft-link compared to the hard-link approach inducing a mis-allocation of investments. Extending the soft-link approach by also considering the time variable interest rate of the MGM does not improve the results. Though the computational complexity is greater the hard-link approach assures simultaneous energy and capital market equilibrium.

[1]  Alain Haurie,et al.  A Coupled Bottom-Up/Top-Down Model for GHG Abatement Scenarios in the Swiss Housing Sector , 2005 .

[2]  M. Tavoni,et al.  A World Induced Technical Change Hybrid Model , 2006 .

[3]  K. Smekens,et al.  Atmospheric and geological CO2 damage costs in energy scenarios , 2006 .

[4]  L. Schrattenholzer,et al.  Endogenous technological change in climate change modelling , 1999 .

[5]  B. Zwaan,et al.  Options and Instruments for a Deep Cut in CO2 Emissions: Carbon Dioxide Capture or Renewables, Taxes or Subsidies? , 2006 .

[6]  Meng-Hua Ye.  Two‐state‐variable stochastic tree problems , 1989 .

[7]  Ian Sue Wing,et al.  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 .

[8]  Peter Rafaj,et al.  Analysis of policies contributing to sustainability of the global energy system using the Global Multi-regional MARKAL model (GMM) , 2005 .

[9]  Valentina Bosetti,et al.  A World induced Technical Change Hybrid Model , 2006 .

[10]  Christoph Böhringer,et al.  The synthesis of bottom-up and top-down in energy policy modeling , 1998 .

[11]  K. Arrow,et al.  Capital-labor substitution and economic efficiency , 1961 .

[12]  Manuel Frondel,et al.  Facing the truth about separability: nothing works without energy , 2004 .

[13]  R. Bellman,et al.  Linear Programming and Economic Analysis. , 1958 .

[14]  Socrates Kypreos,et al.  A MERGE Model with Endogenous Technological Progress , 2003 .

[15]  Leo Schrattenholzer,et al.  MESSAGE-MACRO: Linking an energy supply model with a macroeconomic module and solving it iteratively , 2000 .

[16]  Elmar Kriegler,et al.  The impact of technological change on climate protection and welfare: Insights from the model MIND , 2005 .

[17]  Alan S. Manne,et al.  MERGE. A model for evaluating regional and global effects of GHG reduction policies , 1995 .