1995
DOI: 10.1080/01430750.1995.9675661
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Energy and environmental scenarios for Australia

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Cited by 2 publications
(2 citation statements)
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“…The s-curve can be fitted using a triangle function, logistics function, or other function, and has been used in a number of instances to model the effect of technology transitions on energy demand scenarios. Examples include examination of alternative pathways for energy in Germany (Buch 1984), the development of energy and environmental scenarios for Australia (Marquand and McVeigh 1995), predicting market penetration for fuel cells (Hollinshead et al 2005), and forecasting the growth of the solar-hydrogen economy (Reynolds 2007); a paper on a related topic (Shafizadeh et al 2007) considers the penetration of telecommuting into an urban work trip travel market as a means toward reducing energy consumption and achieving other social benefits. In any case, the s-curve allows a more realistic examination of the effect of a new technology on energy consumption and efficiency over time, since it captures the progression of stages (i.e., ''early adopter,'' ''fast follower,'' ''rapid growth,'' ''tapering off'') that is characteristic of many technology transitions.…”
Section: Choice Of Modeling Frameworkmentioning
confidence: 99%
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“…The s-curve can be fitted using a triangle function, logistics function, or other function, and has been used in a number of instances to model the effect of technology transitions on energy demand scenarios. Examples include examination of alternative pathways for energy in Germany (Buch 1984), the development of energy and environmental scenarios for Australia (Marquand and McVeigh 1995), predicting market penetration for fuel cells (Hollinshead et al 2005), and forecasting the growth of the solar-hydrogen economy (Reynolds 2007); a paper on a related topic (Shafizadeh et al 2007) considers the penetration of telecommuting into an urban work trip travel market as a means toward reducing energy consumption and achieving other social benefits. In any case, the s-curve allows a more realistic examination of the effect of a new technology on energy consumption and efficiency over time, since it captures the progression of stages (i.e., ''early adopter,'' ''fast follower,'' ''rapid growth,'' ''tapering off'') that is characteristic of many technology transitions.…”
Section: Choice Of Modeling Frameworkmentioning
confidence: 99%
“…The intensity ratio Int FCV =Int ICE is defined as an input parameter in the WHTM, where the intensity value Int is the amount of energy in the fuel (hydrogen or gasoline) consumed per unit of VKT delivered. For this application Int FCV =Int ICE was set to 0.8 in all cases, a value we calculated based on results in Marquand and McVeigh (1995). Thus for any given year, the energy consumption per kilometer of the FCV will be 80% of the value for ICE vehicles in that year.…”
Section: Definition Of Scenarios Usedmentioning
confidence: 99%