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ANTARES staff analyzed the direct survey and product choice data to present a clear understanding of the potential market shares of preference for various residential DG technologies. The choice data were analyzed using Sawtooth Software’s© Hierarchical Bayesian / Choice-Based Conjoint Module. ANTARES performed sensitivity analyses to understand how improvements to certain renewable technologies might translate into greater consumer acceptance of those technologies. This information will provide the Department of Energy and private industry with guidance as to which product attribute improvements would most significantly enhance consumer acceptance of certain DG technologies. A valuable output from the product choice survey is a database that allows ANTARES staff to perform "what-if" analysis for government and private clients. Simulations can be run to see how consumers would respond to various improvements to existing DG products. One Fortune 500 Company has already put this database to use in developing its strategy for expansion into new DG product markets. Choice-based conjoint methods can be applied to many consumer analysis/marketing problems besides distributed generation. Using examples in the areas of ANTARES’ expertise; conjoint analysis could also be applied to developing green power marketing strategy or alternative fuel marketing strategy.
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