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Plug-in hybrid electric vehicles: Economic efficiency and market chances of different business models; Plug-in Hybridfahrzeuge: Wirtschaftlichkeit und Marktchancen verschiedener Geschaeftsmodelle

Abstract

The German traffic sector is strongly dependent on fossil fuels. Electric vehicles could reduce this dependence and also help to keep CO2 emissions low. Plug-in hybrid electric vehicles (PHEV) are a technology option that may facilitate the transition to electromobility. The authors investigate the economic efficiencies and amortisation periods of PHEV on the basis of two different business models, i.e. passenger cars (compact and medium-sized) and light vans. It is shown that under the assumed boundary conditions PHEV are not economically efficient at present. The influence of various parameters on economic efficiency and amortisation period is investigated by means of a sensitivity analysis. (orig.)
Authors:
Hackbarth, Andre; Schuermann, Gregor; [1]  RWTH Aachen (DE). E.ON Energy Research Center, Institut fuer Future Energy Consumer Needs and Behavior (FCN)]; Madlener, Reinhard [2] 
  1. RWTH Aachen (Germany). Lehrstuhl fuer Wirtschaftswissenschaften insb. Energieoekonomik,
  2. Technische Hochschule Aachen (DE). Lehrstuhl fuer Verbrennungskraftmaschinen (VKA)
Publication Date:
Jul 15, 2009
Product Type:
Journal Article
Resource Relation:
Journal Name: ET, Energiewirtschaftliche Tagesfragen; Journal Volume: 59; Journal Issue: 7
Subject:
29 ENERGY PLANNING, POLICY AND ECONOMY; MOBILITY; EFFICIENCY; COST; INVESTMENT; PAYBACK PERIOD; COMPARATIVE EVALUATIONS; ELECTRIC MOTORS; AUTOMOBILES
OSTI ID:
21197555
Country of Origin:
Germany
Language:
German
Other Identifying Numbers:
Journal ID: ISSN 0720-6240; ETETEM; TRN: DE09G8371
Submitting Site:
DE
Size:
page(s) 60-63
Announcement Date:
Aug 20, 2009

Citation Formats

Hackbarth, Andre, Schuermann, Gregor, RWTH Aachen (DE). E.ON Energy Research Center, Institut fuer Future Energy Consumer Needs and Behavior (FCN)], and Madlener, Reinhard. Plug-in hybrid electric vehicles: Economic efficiency and market chances of different business models; Plug-in Hybridfahrzeuge: Wirtschaftlichkeit und Marktchancen verschiedener Geschaeftsmodelle. Germany: N. p., 2009. Web.
Hackbarth, Andre, Schuermann, Gregor, RWTH Aachen (DE). E.ON Energy Research Center, Institut fuer Future Energy Consumer Needs and Behavior (FCN)], & Madlener, Reinhard. Plug-in hybrid electric vehicles: Economic efficiency and market chances of different business models; Plug-in Hybridfahrzeuge: Wirtschaftlichkeit und Marktchancen verschiedener Geschaeftsmodelle. Germany.
Hackbarth, Andre, Schuermann, Gregor, RWTH Aachen (DE). E.ON Energy Research Center, Institut fuer Future Energy Consumer Needs and Behavior (FCN)], and Madlener, Reinhard. 2009. "Plug-in hybrid electric vehicles: Economic efficiency and market chances of different business models; Plug-in Hybridfahrzeuge: Wirtschaftlichkeit und Marktchancen verschiedener Geschaeftsmodelle." Germany.
@misc{etde_21197555,
title = {Plug-in hybrid electric vehicles: Economic efficiency and market chances of different business models; Plug-in Hybridfahrzeuge: Wirtschaftlichkeit und Marktchancen verschiedener Geschaeftsmodelle}
author = {Hackbarth, Andre, Schuermann, Gregor, RWTH Aachen (DE). E.ON Energy Research Center, Institut fuer Future Energy Consumer Needs and Behavior (FCN)], and Madlener, Reinhard}
abstractNote = {The German traffic sector is strongly dependent on fossil fuels. Electric vehicles could reduce this dependence and also help to keep CO2 emissions low. Plug-in hybrid electric vehicles (PHEV) are a technology option that may facilitate the transition to electromobility. The authors investigate the economic efficiencies and amortisation periods of PHEV on the basis of two different business models, i.e. passenger cars (compact and medium-sized) and light vans. It is shown that under the assumed boundary conditions PHEV are not economically efficient at present. The influence of various parameters on economic efficiency and amortisation period is investigated by means of a sensitivity analysis. (orig.)}
journal = []
issue = {7}
volume = {59}
place = {Germany}
year = {2009}
month = {Jul}
}