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Assessing PV and wind roadmaps: Learning rates, risk, and social discounting

Authors :
Ignacio Mauleón
Source :
Renewable and Sustainable Energy Reviews. 100:71-89
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Methods to assess global renewable energy investment plans are presented and applied to photovoltaic and wind energy roadmaps recently published by international organizations. Price learning rate effects, uncertainty and derived risk, social discounting, investment depreciation, cost of capital and other factors are dealt with in detail. Some significant empirical results are: a) the roadmaps are market competitive globally, and also economically efficient from an environmental point of view; b) the volume of funds required is significant, but the investments can be financed with moderate carbon taxes; c) more expansive roadmaps yield enhanced results regarding both competitiveness and environmental efficiency; d) risks derived from the uncertainty in estimated Learning Rates may be significant and measures to control them are presented.

Details

ISSN :
13640321
Volume :
100
Database :
OpenAIRE
Journal :
Renewable and Sustainable Energy Reviews
Accession number :
edsair.doi...........1a1b7d4074b0400a9b40fb1861a94582
Full Text :
https://doi.org/10.1016/j.rser.2018.10.012