Operators of critical power generation assets face a unique set of challenges that are not well met by the traditional physics-based simulation workflows. Akselos’s new technology overcomes these limitations by providing an operations-ready Digital Twin, which has already been deployed in a range of industries including oil and gas, wind power, aerospace, mining, power generation, and automotive.
A digital twin is a virtual model of a physical asset, for example, offshore wind farm. Pairing the virtual and physical worlds via a digital twin allows the analysis of data and system monitoring in a way that improves operations, preventing downtime, reducing maintenance costs, and providing data that can be used to streamline operations throughout the lifecycle of the asset.
The Akselos Digital Guardian is a sensor-enabled, physics-based model that reflects an entire asset’s structural condition in near real time. It’s 1000 times faster than conventional softwares, helping their customers extend asset life, lower OPEX and power innovation.
Digital twins' success is largely enabled by advances in sensor technology, machine learning and internet of things (IoT).
The exhaustive list of success stories and case studies might be found here.
Reduce offshore assets' CAPEX by 25% as a result of optimised design.
Reduce OPEX by combining condition-based monitoring with a more focused inspection strategy.
Extend the life of ageing assets (recent project added 20 years of operating life to one of the ageing, fixed offshore platforms. Previous estimates using legacy technology had presumed it was at the end of its operating life.)
Provide accuracy guarantees, underpinned by rigorous mathematics.