Towards a Software-Defined Industrial IoT-Edge Network for Next-Generation Offshore Wind Farms: State of the Art, Resilience, and Self-X Network and Service Management

Publication date

2024-06

Authors

Mwangi, AgrippinaORCID 0000-0002-3663-8335ISNI 0000000524246467
Sahay, Rishikesh
Fumagalli, ElenaORCID 0000-0002-5387-2860ISNI 0000000441078568
Gryning, Mikkel
Gibescu, M.ORCID 0000-0002-4420-8538ISNI 0000000394588206

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Document Type

Article
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Abstract

Offshore wind farms are growing in complexity and size, expanding deeper into maritime environments to capture stronger and steadier wind energy. Like other domains in the energy sector, the wind energy domain is continuing to digitalize its systems by embracing Industry 4.0 technologies such as the Industrial Internet of Things (IIoT), virtualization, and edge computing to monitor and manage its critical infrastructure remotely. Adopting these technologies creates dynamic, scalable, and cost-effective data-acquisition systems. At the heart of these data-acquisition systems is a communication network that facilitates data transfer between communicating nodes. Given the challenges of configuring, managing, and troubleshooting large-scale communication networks, this review paper explores the adoption of the state-of-the-art software-defined networking (SDN) and network function virtualization (NFV) technologies in the design of next-generation offshore wind farm IIoT–Edge communication networks. While SDN and NFV technologies present a promising solution to address the challenges of these large-scale communication networks, this paper discusses the SDN/NFV-related performance, security, reliability, and scalability concerns, highlighting current mitigation strategies. Building on these mitigation strategies, the concept of resilience (that is, the ability to recover from component failures, attacks, and service interruptions) is given special attention. The paper highlights the self-X (self-configuring, self-healing, and self-optimizing) approaches that build resilience in the software-defined IIoT–Edge communication network architectures. These resilience approaches enable the network to autonomously adjust its configuration, self-repair during stochastic failures, and optimize performance in response to changing conditions. The paper concludes that resilient software-defined IIoT–Edge communication networks will play a big role in guaranteeing seamless next-generation offshore wind farm operations by facilitating critical, latency-sensitive data transfers.

Keywords

ETSI AI-driven autonomous network, IEC61400-25, IEC61850, IloT-Edge, network function virtualization, offshore wind farms, publish/subscribe, resilience, software-defined networking

Citation

Mwangi, A, Sahay, R, Fumagalli, E, Gryning, M & Gibescu, M 2024, 'Towards a Software-Defined Industrial IoT-Edge Network for Next-Generation Offshore Wind Farms : State of the Art, Resilience, and Self-X Network and Service Management', Energies, vol. 17, no. 12, 2897. https://doi.org/10.3390/en17122897