Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/74294 
Year of Publication: 
2005
Series/Report no.: 
Nota di Lavoro No. 125.2005
Publisher: 
Fondazione Eni Enrico Mattei (FEEM), Milano
Abstract: 
The threat of global warming calls for a major transformation of the energy system the coming century. Modeling technological change is an important factor in energy systems modeling. Technological change may be treated as induced by climate policy or as exogenous. We investigate the importance of induced technological change (ITC) in GET-LFL, an iterative optimization model with limited foresight that includes learning-by-doing. Scenarios for stabilization of atmospheric CO2 concentrations at 400, 450, 500 and 550 ppm are studied. We find that the introduction of ITC reduces the total net present value of the abatement cost over this century by 3-9% compared to a case where technological learning is exogenous. Technology specific polices which force the introduction of fuel cell cars and solar PV in combination with ITC reduce the costs further by 4-7% and lead to significantly different technological solutions in different sectors, primarily in the transport sector.
Subjects: 
Energy system model
Limited foresight
Climate policy
Endougenous learning
Technological lock-in
JEL: 
O33
Document Type: 
Working Paper

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