sectoral economic costs and benefits of ghg mitigation - IPCC
sectoral economic costs and benefits of ghg mitigation - IPCC
sectoral economic costs and benefits of ghg mitigation - IPCC
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Renewable Energy<br />
The Impacts <strong>of</strong> Carbon Constraints on Power Generation <strong>and</strong><br />
Renewable Energy Technologies 1<br />
Patrick Criqui, Nikos Kouvaritakis <strong>and</strong> Leo Schrattenholzer 2<br />
1 Introduction<br />
Carbon emission constraints may have significant impacts on the future development <strong>of</strong> energy<br />
technologies at world level. First <strong>of</strong> all, they will make low-carbon technologies relatively more<br />
attractive even with unchanged <strong>costs</strong> <strong>and</strong> performances. But what is probably still more<br />
important is the fact that carbon constraints, anticipated by industry <strong>and</strong> technology suppliers,<br />
may also induce an acceleration in the performance improvements <strong>of</strong> low-carbon technologies.<br />
Better market perspectives for <strong>economic</strong>ally <strong>and</strong> environmentally better technologies, such is the<br />
consequence to be expected from the introduction <strong>of</strong> carbon constraints at a regional or world<br />
level.<br />
The modelling <strong>and</strong> assessment <strong>of</strong> these cumulative effects <strong>of</strong> carbon constraints on energy<br />
technologies poses however important methodological problems. In spite <strong>of</strong> significant<br />
developments in the <strong>economic</strong>s <strong>of</strong> technical change, both in the neo-classical <strong>and</strong> in the<br />
“evolutionary” stream, there has been few attempts to measure the impacts <strong>of</strong> the “inducement”<br />
factors to technology dynamics. This is largely because innovation always incorporates an<br />
uncertainty <strong>and</strong> stochastic dimension <strong>and</strong> because it is difficult to associate deterministic<br />
mechanisms to technology dynamics. For instance, there have been some efforts to measure<br />
“learning by doing” phenomena, but only few attempts have been made to investigate the<br />
impacts <strong>of</strong> R&D - public <strong>and</strong> private - on performances at a technology level (a noticeable<br />
exception being that <strong>of</strong> Watanabe <strong>and</strong> Griffy-Brown (1999) for solar PV technology). This is<br />
probably due to the lack <strong>of</strong> exhaustive statistical bases, but also to the existence <strong>of</strong> notorious<br />
examples <strong>of</strong> large R&D programs with small or even no results. The theoretical concepts <strong>and</strong><br />
empirical data on induced <strong>and</strong> endogenous technical change are reviewed in Section 2. <strong>of</strong> this<br />
paper.<br />
The paper then presents the methodology <strong>and</strong> results <strong>of</strong> a research which has attempted to<br />
develop an analytical <strong>and</strong> modelling framework for the assessment <strong>of</strong> the impacts <strong>of</strong> carbon<br />
constraints on power generation <strong>and</strong> renewable technologies. Section 3. proposes a description <strong>of</strong><br />
the corresponding developments in the POLES model, which aimed at an endogenisation <strong>of</strong><br />
technology dynamics. Independently <strong>of</strong> the methodology <strong>and</strong> data problems that had to be – <strong>and</strong><br />
were only partially - solved, the logical structures adopted to address this issue can be described<br />
as following:<br />
- the introduction <strong>of</strong> a carbon constraint will in some way or another translate into a “carbon<br />
value” for avoided emissions <strong>and</strong> thus in a cost premium for low- or no-CO 2 technologies;<br />
1<br />
This paper is a synthetic presentation <strong>of</strong> part <strong>of</strong> the results <strong>of</strong> a research on “Modelling <strong>of</strong> Energy<br />
Technology Dynamics”, undertaken <strong>and</strong> financed in a framework program <strong>of</strong> the EU – DG XII (TEEM<br />
project - JOULE III Program). Full information on the results <strong>of</strong> this project can be found in the TEEM<br />
Project Final Technical Report, European Commission (next to be published in the International Journal <strong>of</strong><br />
Global Energy Issues).<br />
2<br />
We thank all our colleagues in the TEEM study for helpful common work <strong>and</strong> discussions, <strong>and</strong><br />
particularly P. Capros, coordinator <strong>of</strong> the project, <strong>and</strong> A. Soria - S. Isoard (IPTS-Seville) for their<br />
contributions to endogenous technology modelling in the POLES model. Corresponding author:<br />
criqui@upmf-grenoble.fr<br />
106