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Real-Time Data Site-Wide Digital Twin and Proprietary Analytics to Cut Into Process Facility Cost and Carbon Emissions

Webinar

24 mins

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Description

Energy is one of the largest costs for process facilities. While operators can save significant money with minimal impact to production, they often lack structured and automated digital technologies to identify and sustain performance improvements. The situation is further exacerbated by the lack of inconsistent data and inaccurate tools.

In this webinar Sharon Zhou, Head of Digital Energy Management will showcase how:

  • A process facility combines real-time data, site-wide digital twin, and proprietary analytics in a digital energy management solution to deliver up to 15% sustainable reduction in facility energy costs and carbon footprint.
  • Performance gaps are automatically identified and broken down using a best technology benchmark to highlight improvement areas in real-time.
  • Daily facility energy improvement opportunity lists are provided for operators to maximize value and track the efficacy of planned capital projects with accurate projections so operators can make faster informed decisions for capital allocation throughout the implementation cycle.

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