In process manufacturing, real-time optimization employs thermodynamic models which integrate big data to simulate and optimize plant data and develop optimal setpoint targets.
Модульная процедурная автоматизация (МПА) реализует гибкую методологию сбора, оптимизации и сохранения процедурных знаний о технологических установках, а также позволяет удовлетворить требования к надежности, гибкости и затратам в течение всего срока эксплуатации.
Yokogawa provides a standardized approach to the implementation of regulatory control stabilization with fixed procedures and methods that ensure optimum and safe plant controls.
The all inclusive Platform for Advanced Control and Estimation brings multi-variable control, quality estimation, complex custom calculations, and operator user interface design all into one application; in doing so, dramatically reducing deployment time and simplifying maintenance for robust performance.
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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