The partnership will leverage continuous, real-time data collection to optimize the operational, energy, and environmental performance of TotalEnergies’ sites.
TotalEnergies and Emerson's Aspen Technology are deploying advanced digital technologies to continuously collect real-time data from TotalEnergies' industrial sites. The data will enhance decision-making through AI and optimize operational efficiency, energy use, and environmental performance.
“At TotalEnergies, digital technology is a key enabler of our transformation toward a more sustainable and efficient energy future,” said Namita Shah, President of OneTech at TotalEnergies. “Our collaboration with Emerson demonstrates how advanced technologies such as Inmation help us optimize operations, reduce emissions, and generate long-term value. This collaboration is a sign of our intention to turn data and digital tech into the hallmarks of our facilities' industrial excellence.”
Over two years, TotalEnergies will deploy Emerson's AspenTech Inmation across its industrial sites. This industrial data fabric will continuously gather and centralize millions of real-time data points from TotalEnergies' facilities, providing secure and unified data access throughout the organization. The digital infrastructure, which also includes Emerson's advanced process control solutions, enables TotalEnergies to implement AI use cases.
As a result, TotalEnergies will be able to extract more value from its data by:
“Emerson's Aspen Technology business has worked with TotalEnergies for almost 30 years, and we're excited to continue our collaboration by supporting their operational and sustainability objectives with our digital technologies,” said Vincent Servello, President of Emerson's Aspen Technology business. “The powerful combination of AI and our industrial data fabric solution will serve to accelerate TotalEnergies' mission.”
In June 2024, Jim Nyenhuis, the Performance Consultant at Emerson’s Power and Water Solutions Business, spoke with Turbomachinery International about the various benefits and uses of software, including AI and machine learning (ML) in a power plant.
How does a digital ecosystem improve operational efficiency, plant safety, etc.?
Nyenhuis: Digital technologies allow us to address all those issues. We work with customers to understand what operational efficiency means to them based on their objectives. Plant safety is without question built into everything we do. We want to understand and leverage what the underlying technology can tell us and let that information feed up through the digital ecosystem—how do we understand what’s working well at the plant level, how do we identify if there are control problems or if individual pieces of equipment are having issues? A lot of that information is lying within the automation infrastructure, and I don’t think we’ve leveraged that to the degree we want to. We find many customers do not understand the performance characteristics of their closed-loop controls or areas to drive additional improvement, efficiencies, etc.
Performance and control management is another big area that we look at. Our information, such as the automation system, will oftentimes track what operators are doing within the system. In the past, that information was stored in text-based logs, but there’s a lot of valuable information stored in those log files that if we expose it, we can understand how operators are interfacing with the system during different periods of operation, be it startup, shut down, various operating modes, etc., and based on that we can determine where operators are spending a lot of their time.
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