Resumen: This study analyses the properties of the networks constructed by the funded energy-related research consortia to assess their support to the objectives of the European Union’s energy technologies and research policies. By developing research consortia, partners and projects are linked to form a network that generates relationship networks (innovation systems). Although many authors assessed this innovation system from different perspectives, few studies aim to identify the properties of its networks. From the innovation systems perspective, this study fills this gap in the literature by applying Social Network Analysis to determine the network cohesion properties and the centrality measures of its nodes, thereby enlarging the innovation systems literature in the field of modelling and performance assessment. The results indicate that the effectiveness of the innovation systems depends on the geographical distribution of the consortia and the diversity of the participants, revealing significant performance differences in each of the research fields within the energy programme. Based on these conclusions, this paper provides recommendations for policymakers and participants in these European research programmes. Idioma: Inglés DOI: 10.1016/j.jclepro.2021.126690 Año: 2021 Publicado en: Journal of Cleaner Production 298 (2021), 126690 [16 pp] ISSN: 0959-6526 Factor impacto JCR: 11.072 (2021) Categ. JCR: GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY rank: 5 / 47 = 0.106 (2021) - Q1 - T1 Categ. JCR: ENVIRONMENTAL SCIENCES rank: 24 / 279 = 0.086 (2021) - Q1 - T1 Categ. JCR: ENGINEERING, ENVIRONMENTAL rank: 9 / 55 = 0.164 (2021) - Q1 - T1 Factor impacto CITESCORE: 15.8 - Engineering (Q1) - Energy (Q1) - Business, Management and Accounting (Q1) - Environmental Science (Q1)