Forschungs- & Entwicklungsinformationsdienst der Gemeinschaft - CORDIS

Software additions and modifications to the official MARKAL source code

ECN improved the model representation of induced technological progress in MARKAL by the inclusion of learning in clusters of technology in the ANSWER user-interface of MARKAL. Additional features were introduced to MARKAL in order to obtain the information relevant and requested for the ISPA model (e.g. cumulative sales, CO2 abatement costs).

Regarding MARKAL applications ECN has made scoping calculations for solar PV and wind energy to show the feasibility of its indirect two-factor (i-2FLC) learning curve approach for the EU MARKAL model. The R&D information collected by IPTS was extensively utilised in order to fit the relationship between R&D intensity and technology progress ratios. Regarding the centralised policy applications ECN developed and tested a procedure to run MARKAL many times in order to produce multiple run output as input to ISPA.

Going beyond proposal requirements but staying at the heart of the SAPIENT project�s main area of concern, ECN combined the latter facility with a Monte Carlo uncertainty analysis focussing on uncertainties in the parameters driving the induced technology progress ('endogenous learning').

Reported by

Netherlands Energy Research Foundation, ECN Policy Studies, The Netherlands
P.O. Box 37154, NL - 1030 AD
NL - 1030 Amsterdam
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