 Modeling experience curves in MERGE (model for evaluating regional and global effects)Socrates Kypreos Energy, 2005, vol. 30, issue 14, 2721-2737 Abstract: The Swiss National Centre of Competence in Research on Climate aims to explore the predictability, variability, and risk of climate change. The Paul Scherrer Institute, which is involved in this program, uses integrated assessment models to simulate policies for climate-change mitigation under uncertainty. We report here selected results of the model for evaluating the regional and global effects (MERGEs) of greenhouse-gas emissions with endogenous technological learning (ETL), known as MERGE-ETL. The novelty of the approach is the application of an heuristic algorithm to solve the non-linear and non-convex MERGE problem where ‘learning-by-doing’ is adopted for a set of energy technologies. The study presents numerical examples showing the implications of endogenous-learning for the timing of carbon-abatement that stabilizes carbon concentrations (e.g. at 550ppmv), as well as the implications of this in terms of cost/benefit (C/B) analysis. The endogenous-learning formulation is contrasted with the version of the model without ETL. The improved methodology indicates a potential for significant reduction in carbon-abatement cost and economic losses. The method, which is basically in favor of late actions in abatement, implicitly assumes early R&D support and learning investments in carbon-free systems to help these new technologies follow their learning curves. The endogenous treatment of learning already shows significant reductions of carbon emissions in the baseline case and indicates that low-carbon concentrations and improved environmental performance can be obtained when policies are followed that compensate for externalities related to climate change. More precisely, MERGE-ETL gives C/B-optimal carbon-emission trajectories near the 590-ppmv-concentration level. Moreover, the imposition of constraints on the rate of temperature change (e.g. 0.21°C per decade) demands early actions in carbon mitigation. Date: 2005 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:30:y:2005:i:14:p:2721-2737 DOI: 10.1016/j.energy.2004.07.006 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.