Using Digital Twins to Build More Accurate Inferentials for Improved Process Control
Advanced process control (APC) applications require accurate inputs for stream qualities, including product compositions and distillation curve points. While online analyzers are effective in supporting model predictive controllers, they are expensive and often unavailable for important process streams. There is a more cost-effective approach for building virtual analyzers or inferentials to accurately estimate stream qualities and it starts with digital twins.
Revolutionize APC Model Building and Make More Accurate Predictions with Embedded AI
As companies look to improve efficiency amid changing conditions and constrained resources, new advancements in APC dramatically streamline operations. The newly released aspenONE® V12 features embedded AI and parallel computing to enable even less-experienced users to generate faster seed models and more accurate inferentials.
Track and Reduce Carbon with Unified Planning, Scheduling and Execution
Refiners and olefins producers continue to look for innovative ways to reduce carbon emissions. New innovations now enable companies to meet emission targets and still ensure profitable operations. In this on-demand webinar experts discuss how Production Optimization in Aspen Unified™ can be used to predict and optimize the tradeoff between emissions and profits.
目前，炼油厂和石化厂都在积极寻求减少生产计划、调度和实际操作等环节间利润漏损的方法。AspenTech®的动态优化技术Aspen GDOT™，加之其一流的统一生产优化环境Aspen Unified™，能基于不断变化的经济状况调整工厂运营，从而实时优化生产。
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