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A Model for Sustaining New Technology Based on Government Incentives

Date Issued
August 1, 2017
Author(s)
Upreti, Girish  
Advisor(s)
Rapinder S. Sawhney
Additional Advisor(s)
James L. Simonton, David L. Greene, Russell Zaretzki
Abstract

The diffusion of new technology that provides environmental benefits may require government incentives for a duration of time, especially when the technology is expensive. The Center of Systems Research and Education (CASRE) model is developed that analyzes the impact of incentives in sustaining new technologies to allow their social acceptance. The CASRE model includes both demand and supply variables associated with incentive policy to sustain new technology. The key to market dissemination and sustainability is the Investment Tax Credit (ITC) levels provided by the government. The level of ITC is based on the current cost to the customer and the customer acceptance of the cost. The cost of the technology decreases over time due to the effect of learning, scale, and technological progress impacting the level the market demand and therefore the tax credit investments required to sustain the technology. A sensitivity analysis is utilized to predict the impact of cost reductions on tax incentives required. The CASRE model is applied to a case study on non-automotive Proton Exchange Membrane Fuel Cells (PEMFCs) for the Backup Power (BuP) and Material Handling Equipment (MHE) applications. The termination of ITC in 2018 is projected to cause a sharp sales reduction of PEMFCs for BuP but minimum impact on MHE. The gradual phase-out policy of ITC seems to be provide greater probability of sustaining PEMFCs for both applications.

Subjects

Fuel Cell

Policy

Impact

Technology

Choice

Disciplines
Industrial Engineering
Systems Engineering
Degree
Doctor of Philosophy
Major
Industrial Engineering
Embargo Date
January 1, 2011
File(s)
Thumbnail Image
Name

GU_Dissertation_July27.8Sdocx.0.0.docx

Size

2.27 MB

Format

Microsoft Word XML

Checksum (MD5)

0679d9e3427cc8e659b4dabfd2d0b889

Thumbnail Image
Name

GU_Dissertation_July28SS2.pdf

Size

2.95 MB

Format

Adobe PDF

Checksum (MD5)

373f5f9c5c4b17588738c4dc58a885f8

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