Representative End User Clients
Representative Automation Clients
Representative Software Clients
GE Vernova’s Digital business announced the early limited release of CERius, an AI-powered carbon emissions management software designed to help energy companies progress toward their net-zero goals using data precision and 
abatement planning capabilities. CERius is currently available as a pilot for current GE Vernova customers, with general availability expected in early 2024.
CERius is designed to help enable organizations to more accurately measure, manage, and operationalize certain insights needed to help companies track their carbon neutral emissions goals. The software is engineered to automate more accurate GHG data collection and suggest recommendations to operationalize carbon reduction efforts by offering scenario analysis, team collaboration, and standardized reporting based on GHG protocols. Implementing cross-functional standards and processes fueled by CERius helps position companies to address the the ever-evolving regulatory compliance.
CERius can help energy companies better manage their emissions data, compliance reporting, and strategic planning. Additional analytics using Artificial Intelligence (AI) provide insights that are directly drawn from historical, current plant, and enterprise-level processes. The software aims to help with certain key benefits, including:
Decarbonization Planning & Activation: Companies can simulate and evaluate different abatement scenarios to better optimize their carbon management strategies. Users can assess the potential impact of various initiatives, such as renewable energy integration, energy efficiency measures, and carbon offset projects, to help identify the most effective pathways for reaching net-zero targets.
Multi-Team Collaboration: Transparent cross-functional visibility across sustainability executives, managers, and operators to help simplify audit preparations, further breaking down department and information silos. Receive data quality alerts to help resolve issues more quickly to get back on track collectively. This helps to enhance trust and credibility while showcasing the company’s commitment to decarbonize.
Emissions Tracking: Automated collection and increased data accuracy to measure and monitor carbon emissions across various operations including assets, plants, and at the enterprise level across scope 1, 2, and 3 emissions data. CERius offers near real-time data visualization and reporting capabilities, helping to empower companies to track their progress and make data-driven decisions to manage emissions reduction programs. Accuracy of scope 1 emissions reporting is improved by as much as 33 percent using gas fuel systems and fuel flow, not generic estimations by fuel consumption. Using more precise data allows organizations to make better carbon reduction investments and measure the program’s impact on overall net-zero strategy.
Help Compliance Reporting: With ever-evolving regulatory requirements, CERius will help to simplify compliance management by automating collection and analysis of emissions data. Increasing data accuracy and precision helps energy companies report to regulatory bodies using established standards more effectively so teams can focus on decarbonization programs versus data collection and verification.
Today, organizations typically report emissions estimates using a multitude of different approaches. However, CERius is unique in that it moves from estimates to a more accurate result using Digital Twin technology. For example, a power generator can report closer to actual results by simultaneously calculating the same outcome using multiple variables, such as heat rate, based on a single gas turbine at a point in time.
Greater emissions data accuracy equals more accurate decision making on how to better solve the carbon emissions reduction problem. Simple estimates on limited and infrequent data do not provide stakeholders with the confidence to invest in new programs. However, showing measurable actions with more precision provides the level of granularity to perform what-if simulations. For example, adding a percentage of hydrogen to gas operations will reduce emissions by a verifiable percent. Showing measurable actions also helps users to forecast more sustainable investments and its impact on carbon neutrality.