Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/130274
Authors: 
Bosetti, Valentina
Marangoni, Giacomo
Borgonovo, Emanuele
Anadon, Laura Diaz
Barron, Robert
McJeon, Haewon C.
Politis, Savvas
Friley, Paul
Year of Publication: 
2015
Series/Report no.: 
Nota di Lavoro, Fondazione Eni Enrico Mattei 98.2015
Abstract: 
In the present paper we use the output of multiple expert elicitation surveys on the future cost of key low-carbon technologies and use it as input of three Integrated Assessment models, GCAM, MARKAL_US and WITCH. By means of a large set of simulations we aim to assess the implications of these subjective distributions of technological costs over key model outputs. We are able to detect what sources of technology uncertainty are more influential, how this differs across models, and whether and how results are affected by the time horizon, the metric considered or the stringency of the climate policy. In unconstrained emission scenarios, within the range of future technology performances considered in the present analysis, the cost of nuclear energy is shown to dominate all others in affecting future emissions. Climate-constrained scenarios, stress the relevance, in addition to that of nuclear energy, of biofuels, as they represent the main source of decarbonization of the transportation sector and bioenergy, since the latter can be coupled with Carbon Capture and Storage (CCS) to produce negative emissions.
Subjects: 
Sensitivity Analysis
Integrated Assessment models
Expert elicitation
Technology Cost
JEL: 
O30
O33
Q41
Q50
Q55
Document Type: 
Working Paper

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