GSTDTAP  > 气候变化
DOI10.1016/j.enpol.2017.03.063
Consistency and robustness of forecasting for emerging technologies: The case of Li-ion batteries for electric vehicles
Sakti, Apurba1; Azevedo, Ines M. L.2; Fuchs, Erica R. H.2; Michalek, Jeremy J.2,3; Gallagher, Kevin G.4; Whitacre, Jay F.2,5
2017-07-01
发表期刊ENERGY POLICY
ISSN0301-4215
EISSN1873-6777
出版年2017
卷号106
文章类型Article
语种英语
国家USA
英文摘要

There are a large number of accounts about rapidly declining costs of batteries with potentially transformative effects, but these accounts often are not based on detailed design and technical information. Using a method ideally suited for that purpose, we find that when experts are free to assume any battery pack design, a majority of the cost estimates are consistent with the ranges reported in the literature, although the range is notably large. However, we also find that 55% of relevant experts' component-level cost projections are inconsistent with their total pack-level projections, and 55% of relevant experts' elicited cost projections are inconsistent with the cost projections generated by putting their design-and process-level assumptions into our process based cost model (PBCM). These results suggest a need for better understanding of the technical assumptions driving popular consensus regarding future costs. Approaches focusing on technological details first, followed by non-aggregated and systemic cost estimates while keeping the experts aware of any discrepancies, should they arise, may result in more accurate forecasts.


英文关键词Electric vehicle Lithium-ion battery Battery design Expert elicitation Technology forecasting
领域气候变化
收录类别SCI-E ; SSCI
WOS记录号WOS:000402343600041
WOS关键词COST ESTIMATION ; PRODUCT DESIGN ; FUTURE COSTS ; ELICITATION ; PHOTOVOLTAICS ; DECOMPOSITION ; PROBABILITY ; UNCERTAINTY ; SUPPORT ; MODELS
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
被引频次:21[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/18616
专题气候变化
作者单位1.MIT, MIT Energy Initiat, 77 Massachusetts Ave,Room 341L, Cambridge, MA 02139 USA;
2.Carnegie Mellon Univ, Dept Engn & Publ Policy, 5000 Forbes Ave,Baker 129, Pittsburgh, PA 15213 USA;
3.Carnegie Mellon Univ, Dept Mech Engn, 5000 Forbes Ave,Scaffe Hall, Pittsburgh, PA 15213 USA;
4.Argonne Natl Lab, Chem Sci & Engn Div, 9700 S Cass Ave, Argonne, IL 60439 USA;
5.Carnegie Mellon Univ, Dept Mat Sci & Engn, 5000 Forbes Ave,Wean Hall 3325, Pittsburgh, PA 15213 USA
推荐引用方式
GB/T 7714
Sakti, Apurba,Azevedo, Ines M. L.,Fuchs, Erica R. H.,et al. Consistency and robustness of forecasting for emerging technologies: The case of Li-ion batteries for electric vehicles[J]. ENERGY POLICY,2017,106.
APA Sakti, Apurba,Azevedo, Ines M. L.,Fuchs, Erica R. H.,Michalek, Jeremy J.,Gallagher, Kevin G.,&Whitacre, Jay F..(2017).Consistency and robustness of forecasting for emerging technologies: The case of Li-ion batteries for electric vehicles.ENERGY POLICY,106.
MLA Sakti, Apurba,et al."Consistency and robustness of forecasting for emerging technologies: The case of Li-ion batteries for electric vehicles".ENERGY POLICY 106(2017).
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