Article View: uk.transport
Article #293Forecast electric vehicles with learning curves
From: eijnden
Date: Thu, 14 Aug 1997 00:00
Date: Thu, 14 Aug 1997 00:00
44 lines
2968 bytes
2968 bytes
Dear Mister, Miss For the TNO Road-Vehicles Research Institute I am currently conducting a study on the future costs and resulting commercial viability of battery electric, hybrid and fuel cell vehicles in comparison to vehicles propelled by an internal combustion engine. Forecasting commercial viability implies estimating the retail price of the above-mentioned vehicles as well as the operating costs. The approach of the study is to combine expert opinions with a modestly disaggregated analysis of cost factors.=20 I want to use learning curves among others for the analysis and extrapolation of component prices or the costs of certain manufacturing processes. Learning curve theory is very empirical and was introduced as a theory to be used on one plant. I want to use them for a word wide branch of industry. To apply them in this context the big problem is to have empirical data to calibrate the curve. Im looking for public reports or publications providing learning curves of companies or branches of industry. A search through (international) databases has rendered no result except some data about the T-ford. Im hoping that someone of you can help me to acces those sources if there are any. Its very tricky matter to use learning curves for this kind of study, but its the best I came up so Im game for fruitful discussion about either the costs the curve is applicable to or maybe better models to asses future mass production cost advantages. Ref. The Californian Institute of Transportation Studies has used this approach to forecast electric motor costs. (The clean fuels and electric vehicles report, april 1997) With Kind regards Joris Prikken TNO Road-Vehicles Research Institute Section Advanced Power Trains Schoemakerstraat 97 P. O. Box 6033 2600 JA Delft The Netherlands tel: +31 15-2696415 e-mail: Prikken@wt.tno.nl
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X-Google-Language: ENGLISH,ASCII-7-bit X-Google-Thread: 107e5d,2209b7fb6f2fe723,start X-Google-Attributes: gid107e5d,public X-Google-Thread: fd3ff,2209b7fb6f2fe723,start X-Google-Attributes: gidfd3ff,public X-Google-Thread: fd5f7,2209b7fb6f2fe723,start X-Google-Attributes: gidfd5f7,public X-Google-Thread: 105402,2209b7fb6f2fe723,start X-Google-Attributes: gid105402,public X-Google-Thread: f653f,2209b7fb6f2fe723,start X-Google-Attributes: gidf653f,public X-Google-Thread: 1058f1,2209b7fb6f2fe723,start X-Google-Attributes: gid1058f1,public From: eijnden <eijnden@tudw12.tudelft.nl> Subject: Forecast electric vehicles with learning curves Date: 1997/08/14 Message-ID: <33F3B52F.6605@tudw12.tudelft.nl> X-Deja-AN: 264759660 X-Gateway-Source-Info: Mailing List Organization: TNO Reply-To: eijnden@tudw12.tudelft.nl X-MIME-Autoconverted: from 8bit to quoted-printable by relay6.UU.NET id QQdcox16193 Newsgroups: uk.transport,sci.econ,sci.econ.research,sci.energy,ba.transportation,sci.engr.manufacturing Originator: akelly@walras.econ.duke.edu