Adaptive Planning at National Grid
Turning away from fossil fuels to sustainable energy is a complex journey. BMA helped National Grid look at thousands of potential scenarios every week to successfully identify the optimal roadmap to hydrogen.
The world is transforming rapidly as our expectations of cleaner energy, cleaner water, and more sustainable materials & products increases. This transformation, however, brings with it new uncertainties, complexities and risks requiring a similar transformation in the quality, speed and consistency of decision-making.
Given the criticality of accurate, timely and connected decisions in this dynamic environment, a step-change in decision-making capability is required – one that leverages AI while ensuring suitable controls and governance.
Decisio™ provides the decision intelligence platform and application suite to serve the connected value chains and stakeholders in our ecosystem that are likely to determine the long-term sustainability of the broader economy.
We are focused on an ecosystem of interconnected value chains and tailor our propositions to the key stakeholders within this ecosystem:
Insights
Adaptive Planning at National Grid
Turning away from fossil fuels to sustainable energy is a complex journey. BMA helped National Grid look at thousands of potential scenarios every week to successfully identify the optimal roadmap to hydrogen.
Accelerating decarbonisation: A roadmap to net zero
What if we could decarbonise by 2040, or sooner? The transition to net zero demands an integrated response. With vast networks of existing asset infrastructure needing to be re-purposed, BMA’s new technologies are being introduced to the systems of many asset-intensive companies and speeding up the process.
Sustainably reducing leakage and managing water
How will water companies deliver their leakage targets of today whilst building resilience for the future? Using BMA technology, water companies are able to build models to visualise, analyse and optimise complex asset systems and understand the true complexity of the problem.