Modeling technological learning and its application for clean coal technologies in Japan

Toshihiko Nakata, Takemi Sato, Hao Wang, Tomoya Kusunoki, Takaaki Furubayashi

研究成果: Article査読

24 被引用数 (Scopus)

抄録

Estimating technological progress of emerging technologies such as renewables and clean coal technologies becomes important for designing low carbon energy systems in future and drawing effective energy policies. Learning curve is an analytical approach for describing the decline rate of cost and production caused by technological progress as well as learning. In the study, a bottom-up energy-economic model including an endogenous technological learning function has been designed. The model deals with technological learning in energy conversion technologies and its spillover effect. It is applied as a feasibility study of clean coal technologies such as IGCC (Integrated Coal Gasification Combined Cycle) and IGFC (Integrated Coal Gasification Fuel Cell System) in Japan. As the results of analysis, it is found that technological progress by learning has a positive impact on the penetration of clean coal technologies in the electricity market, and the learning model has a potential for assessing upcoming technologies in future.

本文言語English
ページ(範囲)330-336
ページ数7
ジャーナルApplied Energy
88
1
DOI
出版ステータスPublished - 2011 1

ASJC Scopus subject areas

  • 建築および建設
  • エネルギー(全般)
  • 機械工学
  • 管理、モニタリング、政策と法律

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