Abstract
This paper compares the results of technology mapping from bibliometric analysis and results from expert review to identify emerging solar photovoltaic (PV) technologies. The bibliometric analysis is based on “Tools for Innovation Monitoring” (TIM), a new software code developed by the Joint Research Centre. With this text-mining software a set of relevant keywords is extracted through frequency analysis from a corpus of pertinent scientific publications. Keywords obtained by quantitative analysis by TIM are tested against results from qualitative cognitive analysis by an international panel of PV technology experts by means of a set of proposed indicators. The technologies identified by the PV experts are well represented amongst the most frequently occurring (highest ranked) keywords retrieved by TIM. The more salient keywords tend to correspond to the relatively more established technologies such as dye sensitised solar cells, organic PV and more recently-developed technologies such as perovskites. These high rated/developed keywords/technologies can be relatively straightforwardly detected through bibliometric analysis. Contrary to that, keywords designating the most emerging technologies like ferroelectric PV, hot carriers and multiple exciton generation solar cells tend to occur much less frequently and therefore provide weaker signals. These weak signals can be important in foresight.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.