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RES diffusion and R&D investments in the flexibilisation of the European electricity networks

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  • Corsatea, Teodora Diana
  • Giaccaria, Sergio
  • Covrig, Catalin-Felix
  • Zaccarelli, Nicola
  • Ardelean, Mircea

Abstract

The present analysis adds up to the discussion carried around the flexibilisation of the electricity networks, as means of higher diffusion of renewable energy sources (RES). Inspiring from innovation studies the paper proposes an economic rationale for considering RES technology manufacturers as investors in electricity networks. Moreover, the present analysis scrutinize the extent to which the various economic operators within specific segments of the power supply chain invest in a portfolio of research and development activities, among which the electricity grids and storage technologies. The intensity of these research investments was mapped across the European countries for the year of 2011. Their geographic distribution confirms the rationale of an analysis based on canonical correlation testing the associations between RES market diffusion and power network indicators. The analysis provides useful insights for specific technology, such as the one revealing PV market sensitivity to research investments in storage technologies, confirming a potential business model coupling the two technologies. Accommodating this pattern and enabling further diversification of research portfolios, the public incentives could be redesigned in order to address the flexibilisation of power networks.

Suggested Citation

  • Corsatea, Teodora Diana & Giaccaria, Sergio & Covrig, Catalin-Felix & Zaccarelli, Nicola & Ardelean, Mircea, 2016. "RES diffusion and R&D investments in the flexibilisation of the European electricity networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 1069-1082.
    • Handle: RePEc:eee:rensus:v:55:y:2016:i:c:p:1069-1082
    DOI: 10.1016/j.rser.2015.10.115
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    2. Tadeusz Skoczkowski & Sławomir Bielecki & Joanna Wojtyńska, 2019. "Long-Term Projection of Renewable Energy Technology Diffusion," Energies, MDPI, vol. 12(22), pages 1-24, November.
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    4. Chang, Kai & Zeng, Yonghong & Wang, Weihong & Wu, Xin, 2019. "The effects of credit policy and financial constraints on tangible and research & development investment: Firm-level evidence from China's renewable energy industry," Energy Policy, Elsevier, vol. 130(C), pages 438-447.
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    6. Morris Brenna & Federica Foiadelli & Michela Longo & Dario Zaninelli, 2017. "Improvement of Wind Energy Production through HVDC Systems," Energies, MDPI, vol. 10(2), pages 1-25, January.
    7. Nazari-Heris, M. & Mohammadi-Ivatloo, B. & B. Gharehpetian, G., 2017. "Short-term scheduling of hydro-based power plants considering application of heuristic algorithms: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 116-129.

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