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Digital Strategies for a Circular Economy
How Digitalization Plays a Pivotal Role in Accelerating Sustainability
Supply chain optimization
to coordinate, manage and improve transparency of connected processes.
Digital tools improve demand planning, increase visibility into existing
processes, and reduce emissions and waste.
FP Corporation
Japanese packaging company redesigned its food distribution network to be more stable and responsive, cutting CO emissions by 135K MT and reducing landfill waste by nearly 375K MT in one year.
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to reduce process variability and energy consumption, and
support autonomous operations.
Advanced process control
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Global petrochemical company implemented APC solution to reduce variations in quality for cold end units at an ethylene site, lowering energy usage by 20%, while increasing production rates.
by using process modeling and simulation technologies. Operators can identify opportunities for heat integration across assets and consider alternative
lower-carbon energy sources.
Energy and utility optimization
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Korean petrochemicals/polymers producer used modeling solutions to identify energy improvements across its operations, saving $19.2M USD per year with a 12% reduction in energy use and carbon emissions. Plus, there’s an opportunity to reduce energy use another 15% in the future.
uses machine learning to predict equipment degradation weeks or even months in
advance. Action can then be taken to avoid unplanned downtime and associated safety
and environmental risks.
Predictive and prescriptive maintenance
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A US-based energy company saved 30% in maintenance costs and $30M USD in production losses with early failure predictions of its hydrogen network – while improving safety and environmental performance.
uses real-time data to provide a digital profile of the behavior of an asset or process.
This holistic view helps you achieve the best possible performance while reducing
energy consumption.
Digital twin
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Brazilian company used a digital twin to improve production of a specialty product, applying a plant-wide model that integrated models of reactors, columns, strippers and absorbers to identify collective improvement. Result: reduced steam consumption by 15% while increasing production capacity.
Check out the article “How Digitalization and Industrial AI Are Accelerating Sustainability.”
Learn More
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