Bibliometric Network Densification Patterns for Three Renewable - PowerPoint PPT Presentation

Bibliometric Network Densification Patterns for Three Renewable Energy Technologies E. Boelman, T. Telsnig, R. Shortall, G. Bardizza, A. Villalba Pradas with thanks to G. Joanny, O. Eulaerts, N. Taylor European Commission, Joint Research Centre

The European Commission’s science and knowledge service supporting European Union policies with independent evidence throughout the whole policy cycle Joint Research Centre

JRC Competence Centres http://timanalytics.eu/ … TEXT MINING COMPETENCES MODELLING FORESIGHT AND ANALYSIS FOOD POLICY ... EU POLICIES ENERGY POLICY REGIONAL POLICY

Knowledge management for the EU Energy Union JRC coordinates 'SETIS', an Information System for strategic planning and priority setting in Strategic Energy Technologies: Implementation progress • Global technology and market • developments Dissemination portal • https://setis.ec.europa.eu

Aim and approach of this work Aim • explore/illustrate use of densification (network theory metric) to shed light into technology evolution Approach • use JRC Tools for Innovation monitoring (TIM) software • bibliometric & network analysis on Scopus publications

Scope: three renewable energy technologies Technology Search field Period Authorship Entity counts (publications retrieved) counts Wind energy Offshore support structures 2002-2015 1730 620 Wind energy Blades 1996-2015 8510 2430 Solar PV cells Perovskites 1999-2015 3380 1350 Solar PV cells Dye sensitised (DSSC) 2001-2015 10850 2770 Geothermal Enhanced Geothermal 1996-2015 1090 540 energy Systems Search string example: ti_abs_key: (("support structure" OR "monopile" OR "jacket structure" OR "floating" OR … OR … ) AND "offshore wind") Search string example: ti_abs_key: ("enhanced geothermal system" OR "hot dry rock")

Publication patterns for two technologies Technology Search field Period Authorship Entity counts (all searches: 1996-2015) counts Wind energy Offshore support structures 2002-2015 1730 620 Wind energy Blades 1996-2015 8510 2430 Solar PV cells Perovskites 1999-2015 3380 1160 Solar PV cells Dye sensitised (DSSC) 2001-2015 10850 2770 Geothermal E nhanced G eothermal 1996-2015 1090 540 energy S ystems 540 organisations Blades EGS 2430 organisations http://iea-gia.org/wp-content/uploads/2012/08/Korean-EGS-Project-Song-16Aug12.jpg

Wind Offshore Wind Energy Support Structures energy - Collaboration intensity - co-authorships, cumulated yearly counts (edges) network densifica Blades tion 620 organisations 2430 organisations New entrants - 1st retrieval of a publication by a new organisation, cumulated yearly counts (nodes)

EGS & Perov - network densification PV Perovskite (thin film solar cells) 1350 organisations Enhanced Geothermal 540 organisations

2500 DSSC & Perov - network densification PV Perovskite Yearly authorship counts 2000 1500 1000 1 st 'solar cell' publication Photovoltaic (PV) 500 solar cells incubation period 0 1995 2000 2005 2010 2015 2500 Switch to Perovskites Yearly authorship counts 2000 1500 PV Dye Sensitised 1000 500 0 1995 2000 2005 2010 2015

EGS - network densification Collaboration intensity - co-authorships, cumulated yearly counts (edges) Enhanced Geothermal Systems 1 st binary EGS plant, Soultz (FR) New renewable energy laws (DE) Induced 200 seismicity (Basel project Yearly authorship counts abandoned) 150 100 Cooper basin starts (AU) 50 0 1995 2000 2005 2010 2015 New entrants - 1st retrieval of a publication by a new organisation, cumulated yearly counts (nodes) http://iea-gia.org/wp-content/uploads/2012/08/Korean-EGS-Project-Song-16Aug12.jpg

Final remarks – analysis • JRC is developing TIM and building institutional capacity in applications of text mining and network analysis for policy support • Our network theory & bibliometric analysis results provided potentially relevant metrics for gauging technological development stages

Final remarks – results • Densification patterns for three renewable energy technologies in line with their developmental stages • Technology granularity levels and approach potentially applicable to wider ranges of upcoming renewable energy technologies

Thank you You can find us at elisa.boelman@ec.europa.eu thomas.telsnig@ec.europa.eu