GE Digital has expanded its Performance Intelligence software with new Carbon Reduction Advice and Carbon Data Insights functionality. Using thermal performance data, these capabilities are designed to help thermal generation plants meet their power commitments and reduce carbon emissions.
The Carbon Reduction Advice capability offers actionable recommendations to help improve equipment degradation issues that can have a negative impact on plant capacity and economics, fuel consumption, and carbon emissions. As an example, the software may recommend the optimal timing for an offline water wash or inlet filter cleaning to help ensure that equipment runs more efficiently, burns less fuel, and therefore, produces fewer emissions.
Also available now, Carbon Data Insights will support Carbon Reduction Advice with actual fuel data and gas turbine configurations, enabling a more accurate calculation of CO2 tonnage versus traditional statistical estimations. Carbon Data Insights allows plant operators to monitor and report both daily real-time production and cumulative calculations of their emissions.
GE Digital’s Performance Intelligence software is designed to more accurately detect equipment degradation issues and offers recommended actions at any part of the operating range versus just the base load range. This can be important as thermal generation plants operate with increasing variability as more renewable generation is added to the grid.
The new Carbon Reduction Advice and Carbon Data Insights capabilities are currently included as part of Performance Intelligence, which can be deployed in the cloud or on-premises.
Craig Resnick, ARC Advisory Group, commented, “Energy must be produced in the most efficient process possible, but that cannot be achieved without tools that provide real-time visibility into asset degradation and possess the analytics and intelligence to make the necessary improvements that ensure the most optimized asset performance. GE Digital’s Performance Intelligence software provides the visibility, diagnostics, reporting, and asset performance management tools that leverage digital twin models and performance analytics engineered to greatly improve asset health and reliability and maximize asset performance and efficiency. These insights are so critical to minimizing costs, reducing unscheduled downtime, and increasing the sustainability of the energy production process with features such as carbon data insights to help facilities save fuel and reduce emissions."