Technology and demand forecasts for renewable energy systems using conjoint analysis

Li Hsing Shih, Yu Jun Ou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study focuses on technology and demand forecasts for photovoltaic technologies like c-Si technology and thin film technology. Energy efficiency of both technologies will improve while cost reduction of thin film technology is larger in a long run. On the other hand, customers' preference structure is modeled with attributes including price, capacity, efficiency and lifetime to find which technology customers would prefer in the future by using conjoint model. Along with the improvement on cost and efficiency, the demand of these renewable energy technologies can be forecasted. Competition and market shares of the technologies can be thus simulated. The results show demand forecasts of different competing photovoltaic technologies up to year 2030. In addition, changes of future potential market segment and corresponding customers' characteristics are described and discussed.

Original languageEnglish
Title of host publication2011 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2011 - Proceedings
DOIs
Publication statusPublished - 2011 May 16
Event2011 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2011 - Wuhan, China
Duration: 2011 Mar 252011 Mar 28

Publication series

NameAsia-Pacific Power and Energy Engineering Conference, APPEEC
ISSN (Print)2157-4839
ISSN (Electronic)2157-4847

Other

Other2011 Asia-Pacific Power and Energy Engineering Conference, APPEEC 2011
CountryChina
CityWuhan
Period11-03-2511-03-28

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology

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