MicrosoftExpanded

RWE Renewables advances cost-effective net-zero transition for UK electricity

Accenture, Microsoft, and Avanade collaborated to support the UK’s energy sector in its transition to a low-carbon electricity system, involving SSE Renewables. The initiative addresses the critical challenge of reducing the cost and complexity of decarbonizing electricity supply and demand, in alignment with the UK’s net-zero carbon targets. Microsoft Azure cloud, Azure AI, Industrial Internet of Things, Azure Digital Twins, and Azure Data Analytics technologies were deployed to optimize renewable energy operations, create digital twins of physical assets, and improve supply-demand balancing. One major result is the reduction of renewable generation costs, improvement in asset reliability, the use of AI and drones for remote asset inspection, and better management of system balancing for electricity supply and demand. The platform also empowers connected workers in the energy industry by enabling digital collaboration, increased productivity, and improved safety. The project is foundational in enabling a zero-carbon UK electricity grid and creates a path for further digital transformation of the utility sector, providing substantial contributions to the UK’s sustainability goals.

Organization
RWE Renewables
Published
February 2021

Reported outcomes

−25%

costCost savings

−20%cost

Strategic outcomes

Cost efficiencyReduced renewable generation costsRisk & complianceEnabled zero-carbon electricity systemScale & capacityImproved reliability and lifespan of assetsEmployee experienceEnhanced workforce productivity and safety

Catalog median for cost savings deployments: −45% across 345 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 4

  • 1Predictive analytics for renewable energy optimization
  • 2Digital twin monitoring for generation assets
  • 3Supply-demand balancing using AI and analytics
  • Urgency to decarbonize the UK’s energy supply and demand to meet 2050 net-zero targets.
  • High costs and operational complexity in transforming legacy electricity generation and distribution systems.
  • The need for real-time management of supply-demand balance, especially with increased renewable inputs.
  • Ensuring the reliability and longevity of renewable generation assets.
  • Supporting workforce safety and productivity in a transforming digital environment.
  • Deployed Microsoft Azure and Azure AI for actionable operational and commercial insights.
  • Leveraged Azure Digital Twins and Industrial Internet of Things for remote monitoring and digital twin creation of renewable assets.
  • Used Azure Data Analytics for predictive analysis, asset management, and system balancing.
  • Conducted remote asset inspections and operational management using AI and drone technology.
  • Empowered digital and connected workforces through cloud-based collaboration.
  • Reduced cost of renewable generation by up to 25%.
  • Extended reliability and lifespan of assets for SSE Renewables.
  • Enabled a zero-carbon electricity system by 2025 and improved balancing of supply and demand.
  • Realized up to 20% cost savings in meeting new electricity demands.
  • Enhanced productivity, safety, and digital skills for connected utility workers.
Architecture

The solution uses Azure cloud and Azure AI to collect and analyze data from renewable energy assets. Digital twins of assets are built using Azure Digital Twins and monitored in real-time through Industrial Internet of Things integration, supporting predictive and operational analytics via Azure Data Analytics. Remote inspections leverage AI-based drone imagery. The system enables workforce collaboration through secure cloud environments powered by Azure.

Implementation partners2
Sources & evidence1
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The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2024.

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Groundedness: Unavailable

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