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ENEOS Materials Corporation and Yokogawa Electric Corporation have announced the formal adoption of the Factorial Kernel Dynamic Policy Programming (FKDPP) AI algorithm at an ENEOS Materials chemical plant. This decision follows a successful year-long field test, marking a world-first implementation of reinforcement learning AI in direct plant control. The AI demonstrated superior performance in managing distillation operations, enhancing product quality, and reducing operational costs. Key benefits include a 40% reduction in CO2 emissions, year-round stability, and improved safety by lessening manual operator intervention.
Yokogawa Electric Corporation has launched OpreX™ Asset Health Insights (2.0), a cloud-based asset monitoring service, enhancing its capabilities with new features and support for Alibaba Cloud, marking a strategic partnership. The updated service collects and processes operational technology data, providing a comprehensive view for asset management. Key updates include 2D and 3D graphics for better visualization, ISA 18.2 compliant alarm management, and support for multiple languages including Chinese. The company aims to address the growing demand for robust asset monitoring across industries such as oil, gas, and chemicals.
Yokogawa Electric Corporation has been appointed by Shell Plc as the main automation contractor for the Holland Hydrogen I plant in Rotterdam. This facility, set to be the largest renewable hydrogen plant in Europe by 2025, will utilize electricity from an offshore wind farm to produce up to 60,000 kg of green hydrogen daily via a 200 MW electrolyser. The hydrogen will replace grey hydrogen at Shell's Energy and Chemicals Park, aiding in the decarbonization of fuel production. Yokogawa aims to integrate systems effectively to support sustainability and decarbonization efforts.
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Yokogawa Electric Corporation has completed a successful proof of concept test at the Tapia Water Reclamation Facility in California. This initiative, part of the Pure Water Project, aimed to enhance wastewater treatment efficiency while reducing energy consumption. The project utilized Yokogawa's advanced data-driven modeling software, achieving over a 10% reduction in power consumption and compliance with water quality standards. For its innovative efforts, Yokogawa received the Transformational Innovation award from the WateReuse Association.
Yokogawa Electric and JSR Corporation have successfully completed a world-first 35-day field test using AI to autonomously operate a chemical plant. The test demonstrated the application of reinforcement learning AI in controlling complex processes, achieving high product quality and yield while conserving energy. This innovation is part of Japan's Ministry of Economy, Trade and Industry's advanced safety initiative and could significantly enhance productivity and safety in chemical production. Both companies aim to expand AI's role in plant operations to improve efficiency and safety.
Yokogawa Electric Corporation has been chosen by ExxonMobil to serve as the system integrator for the inaugural field trial of an Open Process Automation (OPA) system at an ExxonMobil facility on the U.S. Gulf Coast. This trial aims to replace existing control systems with an integrated one that complies with the Open Process Automation Standard (O-PAS™). The project is expected to reduce capital costs and total cost of ownership through better integration of automation components. The trial, which involves over 2000 I/O, is set to commence in 2023.
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