In process manufacturing, real-time optimization employs thermodynamic models which integrate big data to simulate and optimize plant data and develop optimal setpoint targets.
In industrial processes, optimizing the costs between steam, fuel, and electrical power reduces total operational costs while meeting emissions constraints.
Procedural Automation (Exapilot) provides a flexible methodology to capture, optimize and retain procedural knowledge in a process plant while meeting requirements in reliability, flexibility, and lifecycle costs.
Multivariable control, quality estimation, complex custom calculations, and operator user interface design all in one application.
Rohm and Haas Company is one of the world's largest manufacturers of specialty materials, including adhesives, sealants, coatings, monomers, electronic materials, inorganic and specialty solutions, and ion exchange resins. Founded in 1909 by two German entrepreneurs, Rohm and Haas has grown to approximately $6 billion in annual revenues.
In early 2008, Southern Union Gas Services (SUGS) commissioned eSimulation to build a predictive business model to help SUGS accurately manage and forecast plant gross margins. The business model encompasses SUGS's fully integrated gathering and processing assets located in the Permian Basin region of west Texas and southeast New Mexico (5 plant gathering and processing /treating supersystem).
After a feasibility study, TOTAL decided to test an on-line model for site wide energy system management. TOTAL operates a large and complex energy system at Feyzin refinery. A detailed model of the energy system has been built and it is continuously fed with validated (not reconciled), real-time data. It includes all the actual constraints of the site and decision variables for their operation.
The global refining industry is constantly evolving and responding to new crude supplies and sources, more stringent fuel/product specifications, perpetually changing demand patterns and other global and regional trends. Increased competition from large, efficient refineries is forcing small- to mid-sized refiners to rethink their strategies to remain competitive.
Increasing oil prices are reducing the relative feedstock and energy costs advantages refiners and petrochemicals producers have recently enjoyed. Allied with the high cost and growing scarcity of skilled staff, a fundamental shift in mindset towards plant operations and maintenance is required to assure organizational resilience. Therefore, the desire to achieve enhanced cost structures through innovation in operating models and digitalization has intensified.
President & CEO of Yokogawa Electric Corporation of Japan, Shu Kaihori, discusses optimizing plant performance with Andy Chatha, President & CEO of ARC Advisory Group.
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