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Critical Success Factors for Information Technology and Operational Technology Convergence Within the Energy Sector

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Innovations in Bio-Inspired Computing and Applications (IBICA 2021)

Abstract

Smart grids involve the incorporation of ICTs within electrical power systems. Smart grids are touted to offer a variety of opportunities for public electricity utilities. Governments and electricity utilities around the world are taking advantage of various technology advancements. This has given rise to complex and integrated electrical power systems. With these technology advancements, a new breed of devices, technologies, smart grids and systems allow the electricity utilities to change the way their electricity is delivered, maintained and managed for high reliability. Smart grids have introduced new infrastructure into the grid that integrates Information Technology (IT) and Operational Technology (OT) and other support systems to maximize business value. Traditionally IT and OT are managed as independent network systems and are subsequently supported separately. This study explored the convergence of the IT and OT functions for smart grid implementations in support of a business transformation strategy. It investigated the enablers and barriers towards IT and OT convergence in the energy sector. The study adopted a case study approach and collected data through a survey with the IT and OT representatives within a public electricity utility. The study offers several critical success factors for consideration by IT and OT functions within organizations for smart grid implementation.

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Acknowledgements

This work is based on the research supported in part by the National Research Foundation of South Africa (Grant Numbers 127495).

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Correspondence to Tendani Mawela .

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Dhlamini, T., Mawela, T. (2022). Critical Success Factors for Information Technology and Operational Technology Convergence Within the Energy Sector. In: Abraham, A., et al. Innovations in Bio-Inspired Computing and Applications. IBICA 2021. Lecture Notes in Networks and Systems, vol 419. Springer, Cham. https://doi.org/10.1007/978-3-030-96299-9_41

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