Title :
A technology tree based VND model for identifying the top technologies in the US renewable energy industry
Author :
Choudhury, Piyasi ; Fallah, M. Hosein
Author_Institution :
Howe Sch. of Technol. Manage., Stevens Inst. of Technol., Hoboken, NJ, USA
Abstract :
This paper examines the technology trajectory evolution of the green energy industry in the US. In particular, it identifies the top three communities within this sector and summarizes their growth patterns. We analyzed the US green energy patents from 1980-2005 and proposed a ¿green technology tree¿, the structure of which symbolizes the growth pattern of the core green technologies. Based on this tree, we designed the VND model that divides these top green energy communities into three separate categories: the ¿veteran¿ category representing patent classes that have been in prominence from the initial days of green revolution, the ¿newbie¿ category that focuses on the recently evolving green technologies and finally, the ¿downgraded¿ category which is a representative of the once-popular-now-disappearing technologies.
Keywords :
patents; power markets; renewable energy sources; technology management; trees (mathematics); US green energy patents; US renewable energy industry; VND model; downgraded category; green energy industry; green technology tree; newbie category; once-popular-now-disappearing technology; technology trajectory evolution; top technology identificaiton; veteran category; Biomass; Geothermal power generation; Pattern analysis; Power generation; Renewable energy resources; Solar heating; Solar power generation; Waste heat; Water heating; Wind energy generation; Community structure; VND model; green energy; patent class; technology tree;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4869-2
Electronic_ISBN :
978-1-4244-4870-8
DOI :
10.1109/IEEM.2009.5373468
