Technical Brief

Market Simulation Based Sensitivity Analysis as a Means to Inform Design Effort as Applied to Photovoltaic Panels

[+] Author and Article Information
Bart D. Frischknecht

Centre for the Study of Choice,
Business School,
University of Technology Sydney,
Sydney 2007, Australia
e-mail: bart.frischknecht@uts.edu.au

Kate S. Whitefoot

National Academy of Engineering,
Washington, DC 20001
e-mail: kwhitefoot@nae.edu

1Corresponding author.

Contributed by the Design Automation Committee of ASME for publication in the JOURNAL OF MECHANICAL DESIGN. Manuscript received October 4, 2012; final manuscript received February 22, 2014; published online March 19, 2014. Editor: Shapour Azarm.

J. Mech. Des 136(5), 054501 (Mar 19, 2014) (8 pages) Paper No: MD-12-1492; doi: 10.1115/1.4026991 History: Received October 04, 2012; Revised February 22, 2014

Product design success depends on the engineering performance of the product and also on the reaction of external stakeholders such as customers, retailers, and policymakers. This article illustrates how an early-stage engineering design performance model can be incorporated into a decision framework representing customers, retailers, and policymakers to assess the revenue potential for different technologies. Sensitivity analysis is performed for revenue and other stakeholder decision criteria with respect to the design performance measures. We illustrate our approach for photovoltaic panels in the context of the residential solar electricity generation system market in New South Wales, Australia that experienced a variety of federal and state government incentive programs between 2010 and 2012. The analysis is based on engineering performance modeling, discrete choice demand modeling, and cost modeling all with simplifying assumptions.

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Grahic Jump Location
Fig. 1

Distribution of posterior parameter estimates

Grahic Jump Location
Fig. 2

Schematic of solution process for market simulations

Grahic Jump Location
Fig. 3

Elasticity of producer revenue with respect to changes in the engineering parameters of 1%, 5%, 10%, 15%, or 20%




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