Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.enpol.2017.04.035 |
Non-constant learning rates in retrospective experience curve analyses and their correlation to deployment programs | |
Wei, Max; Smith, Sarah Josephine; Sohn, Michael D. | |
2017-08-01 | |
发表期刊 | ENERGY POLICY |
ISSN | 0301-4215 |
EISSN | 1873-6777 |
出版年 | 2017 |
卷号 | 107 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | A key challenge for policy-makers is estimating future technology costs and the rate of cost reduction versus production volume. A related critical question is what role state and federal governments should have in advancing energy efficient and renewable energy technologies. We derive learning rates for six technologies (electronic ballasts, magnetic ballasts, compact fluorescent lighting, general service fluorescent lighting, stationary fuel cells, and the installed price of residential solar PV) and provide an overview and timeline of historical deployment programs, such as state and federal standards and incentive programs, for each technology. Piecewise linear regimes are observed in a range of technology experience curves, and deployment programs are found to be strongly correlated to an increase in learning rate across multiple technologies. A downward bend in the experience curve is found in 5 out of the 6 energy-related technologies presented here. In each of the five downward-bending experience curves, we believe that an increase in the learning rate can be linked to deployment programs to some degree. This work sheds light on the endogenous versus exogenous contributions to technological innovation and can inform future policy investment direction and can shed light on market transformation and technology learning behavior. |
英文关键词 | Experience curves Learning rates Deployment programs Technology costs Technology innovation |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000405158200033 |
WOS类目 | Economics ; Energy & Fuels ; Environmental Sciences ; Environmental Studies |
WOS研究方向 | Business & Economics ; Energy & Fuels ; Environmental Sciences & Ecology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/18716 |
专题 | 气候变化 |
作者单位 | Lawrence Berkeley Natl Lab, 1 Cyclotron Rd,Mail Stop 90R2002, Berkeley, CA 94720 USA |
推荐引用方式 GB/T 7714 | Wei, Max,Smith, Sarah Josephine,Sohn, Michael D.. Non-constant learning rates in retrospective experience curve analyses and their correlation to deployment programs[J]. ENERGY POLICY,2017,107. |
APA | Wei, Max,Smith, Sarah Josephine,&Sohn, Michael D..(2017).Non-constant learning rates in retrospective experience curve analyses and their correlation to deployment programs.ENERGY POLICY,107. |
MLA | Wei, Max,et al."Non-constant learning rates in retrospective experience curve analyses and their correlation to deployment programs".ENERGY POLICY 107(2017). |
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