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Cloud for Energy Transition (C4ET)

Common Platform : Powerful Customised Solutions

Customised Digital Business Twins

  • National Energy Transition Planning
  • Regional Energy Transition Planning
  • Network Operator Energy Transition Planning
  • Local Area Energy Transition Planning

The energy sector faces immense pressure to align with environmental sustainability goals and decarbonisation objectives, both regulated and self-imposed. Companies must establish clear, cost-effective pathways to achieve Net Zero emissions by 2050. This requires considering all energy sources agnostically while navigating evolving regulatory landscapes, technological innovations, and investment options.

Energy transition is an enormously complex undertaking, demanding a delicate balance between investment, affordability, technological advancements, engineering constraints, government policies (central and local), new operating models, shifts in consumer behaviour, and complex planning consent processes. The urgent need to address climate change requires a rapid transformation of our energy systems, demanding planning capabilities far beyond what has typically been used in the past.

Decisio™ C4ET aims to transform the energy sector through the adoption and implementation of AI-assisted energy transformation planning & delivery.

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BMA's Decisio™ Cloud for Energy Transition (C4ET) solution delivers temporal, spatial and financial planning of energy infrastructure across the end-to-end energy value chain

Decisio™ C4ET solution enables energy organisations to:

  • Access the digital adaptive planning capabilities required to profitably navigate a pathway to a resilient, Net Zero energy system
  • Take a whole systems approach to energy transition, using digital and AI capabilities to identify the optimal combination of investments, and timing, across the end-to-end energy value chain
  • Empower stakeholder collaboration by aligning the objectives and responsibilities of National, Regional, Network, and Local planners, enabling better, faster and more connected decisions
  • Deliver data-driven and evidence-based temporal, spatial and financial planning of energy infrastructure across the end-to-end energy value chain
  • Access all available AI services that will help to accelerate data collection, and data curation, as well as the analysis of structured and unstructured data and effective stakeholder engagement.
  • Access an adaptive planning solution that updates within hours rather than weeks when things inevitably change
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Success Stories

The solution enabled NGGT to engage directly with Ofgem and secure over £110m of investment funding.

Additional £110 million ($136 million) of infrastructure investment justified and secured from regulator.

Optimisation of 15-year gas mains replacement programme to reduce cost by decreasing the percentage of open cut replacement from 7% to 2% (network capacity of hydrogen ready).

Amplified the number of annual scenarios from 10s to 10,000+ using Mass Scenario Analysis, resulting in a step-change in network development insights and optionality for Hydrogen transition.

Working with

Insights

Listen to BMA discussing the TORCH project on Planet Possible Podcast

BMA is the lead technology partner on the collaborative TORCH project. Listen to the Planet Possible podcast about how heat from wastewater can be a source of renewable energy.

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How do you use AI to deliver a future-ready energy network?

Utility Week's article looks at how our AI-assisted, adaptive planning can help utilities navigate increasing complexity — from decarbonisation and network constraints to regional delivery and long-term resilience.
 

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Connecting regional and local planning with national strategy for a sustainable energy future.

The transition towards a sustainable energy future demands smarter, more integrated planning. We demonstrate our whole-system AI-assisted energy software application that connects regional and local planning with national strategy.

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