Size matters: Installed maximal unit size predicts market life cycles of electricity generation technologies and systems
N. Li
Energy Policy, 2008, vol. 36, issue 6, 2212-2225
Abstract:
The electricity generation technologies and systems are complex and change in very dynamic fashions, with a multitude of energy sources and prime movers. Since an important concept in generator design is the "economies of scale", we discover that the installed maximal unit size (capacity) of the generators is a key "envelope-pushing" characteristic with logistical behaviors. The logistical wavelet analysis of the max unit sizes for different fuels and prime movers, and the cumulative capacities, reveals universal quantitative features in the aggregate evolution of the power industry. We extract the transition times of the max sizes (spanning 10-90% of the saturation limits) for different technologies and systems, and discover that the max size saturation in the 90-99% range precedes the saturation of cumulative capacities of the corresponding systems in the US. While these universal laws are still empirical, they give us a simple yet elegant framework to examine the evolution of the power industry and markets in predictive, not just descriptive, terms. Such laws give us a quantitative tool to spot trends and predict future development, invaluable in planning and resource allocation based on intrinsic technology and system market life cycles.
Date: 2008
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301-4215(08)00092-X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:enepol:v:36:y:2008:i:6:p:2212-2225
Access Statistics for this article
Energy Policy is currently edited by N. France
More articles in Energy Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().