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Digitalisation in wind and solar power technologies

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  • Kangas, H.L.
  • Ollikka, K.
  • Ahola, J.
  • Kim, Y.

Abstract

Smart energy transition includes a widespread deployment of clean energy technologies and intelligent energy management with information and communication technologies (ICTs). In this paper, the smart energy transition is studied from the viewpoint of the technology convergence of renewable energy sources (RESs) and ICTs. Two important, fast-growing and weather-dependent renewable energy generation technologies: wind power and solar PV (photovoltaic) are studied. This paper provides technology convergence analyses of RES and ICT inventions based on international patent data. Digitalisation is changing the whole of society, and according to the results, this transition can also be seen in the studied renewable energy generation technologies. The digitalisation of RES production covers technologies that control, manage and optimise electricity production in different intelligent ways. Differences between wind power and solar PV technologies are found: in the case of wind power, the development from virtually no ICT solutions to partial technology convergence with the ICT sector is straightforward. However, in the case of solar PV, the development of basic technologies has been even faster than the development of the solar PV ICT solutions, which may indicate the immature nature of solar PV technologies during the studied years. The digitalisation of the renewable energy sector poses challenges for RES companies in following and predicting ICT development and opportunities for innovations and collaborations with ICT companies. This conclusion can also be expanded to society and policy levels because focusing on only a narrow field when planning innovation policy instruments can negatively impact the country's competitiveness.

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  • Kangas, H.L. & Ollikka, K. & Ahola, J. & Kim, Y., 2021. "Digitalisation in wind and solar power technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    • Handle: RePEc:eee:rensus:v:150:y:2021:i:c:s1364032121006420
    DOI: 10.1016/j.rser.2021.111356
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    1. Lupangu, C. & Bansal, R.C., 2017. "A review of technical issues on the development of solar photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 950-965.
    2. Karvonen, Matti & Kässi, Tuomo, 2013. "Patent citations as a tool for analysing the early stages of convergence," Technological Forecasting and Social Change, Elsevier, vol. 80(6), pages 1094-1107.
    3. de Rassenfosse, Gaétan & Dernis, Hélène & Guellec, Dominique & Picci, Lucio & van Pottelsberghe de la Potterie, Bruno, 2013. "The worldwide count of priority patents: A new indicator of inventive activity," Research Policy, Elsevier, vol. 42(3), pages 720-737.
    4. Jeeeun Kim & Sungjoo Lee, 2017. "Forecasting and identifying multi-technology convergence based on patent data: the case of IT and BT industries in 2020," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 47-65, April.
    5. Jae Young Choi & Seongkyoon Jeong & Kyunam Kim, 2015. "A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea," Sustainability, MDPI, vol. 7(9), pages 1-24, August.
    6. Dreidy, Mohammad & Mokhlis, H. & Mekhilef, Saad, 2017. "Inertia response and frequency control techniques for renewable energy sources: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 144-155.
    7. Jordehi, A. Rezaee, 2016. "Maximum power point tracking in photovoltaic (PV) systems: A review of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1127-1138.
    8. Yoon‐Hee Ha & John Byrne & Hae‐Seok Lee & Ye‐Jin Lee & Dong‐Hwan Kim, 2020. "Assessing the impact of R&D policy on PV market development: The case of South Korea," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 9(2), March.
    9. Triki-Lahiani, Asma & Bennani-Ben Abdelghani, Afef & Slama-Belkhodja, Ilhem, 2018. "Fault detection and monitoring systems for photovoltaic installations: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2680-2692.
    10. Maria Carvalho & Antoine Dechezlepretre & Matthieu Glachant, 2017. "Understanding the dynamics of global value chains for solar photovoltaic technologies," WIPO Economic Research Working Papers 40, World Intellectual Property Organization - Economics and Statistics Division.
    11. Gambardella, Alfonso & Torrisi, Salvatore, 1998. "Does technological convergence imply convergence in markets? Evidence from the electronics industry," Research Policy, Elsevier, vol. 27(5), pages 445-463, September.
    12. Faran Ahmed & Muhammad Naeem & Muhammad Iqbal, 2017. "ICT and renewable energy: a way forward to the next generation telecom base stations," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(1), pages 43-56, January.
    13. Hoseinzadeh, Siamak & Ghasemi, Mohammad Hadi & Heyns, Stephan, 2020. "Application of hybrid systems in solution of low power generation at hot seasons for micro hydro systems," Renewable Energy, Elsevier, vol. 160(C), pages 323-332.
    14. Alizadeh, S.M. & Ozansoy, C., 2016. "The role of communications and standardization in wind power applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 944-958.
    15. Takashi Inaba & Mariagrazia Squicciarini, 2017. "ICT: A new taxonomy based on the international patent classification," OECD Science, Technology and Industry Working Papers 2017/1, OECD Publishing.
    16. Ivan Haščič & Mauro Migotto, 2015. "Measuring environmental innovation using patent data," OECD Environment Working Papers 89, OECD Publishing.
    17. Kim, Tae San & Sohn, So Young, 2020. "Machine-learning-based deep semantic analysis approach for forecasting new technology convergence," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    18. Thomas G. Allen & James Bullock & Xinbo Yang & Ali Javey & Stefaan De Wolf, 2019. "Passivating contacts for crystalline silicon solar cells," Nature Energy, Nature, vol. 4(11), pages 914-928, November.
    19. B. Golembiewski & N. Sick & S. Bröring, 2015. "Patterns of Convergence Within the Emerging Bioeconomy — The Case of the Agricultural and Energy Sector," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 1-22.
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    2. Robert Szydło & Sylwia Wiśniewska & Małgorzata Tyrańska & Anna Dolot & Urszula Bukowska & Marek Koczyński, 2021. "Employer Expectations Regarding the Competencies of Employees on the Energy Market in Poland," Energies, MDPI, vol. 14(21), pages 1-21, November.
    3. Zhong, Mei-Rui & Cao, Meng-Yuan & Zou, Han, 2022. "The carbon reduction effect of ICT: A perspective of factor substitution," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    4. Zhang, Hongyan & Gao, Shuaizhi & Zhou, Peng, 2023. "Role of digitalization in energy storage technological innovation: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).

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