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Covestro

Covestro uses AVEVA PI System to achieve sustainable growth

Covestro, one of the world's leading polymer companies, has set an ambitious goal: net-zero Scope 1 and 2 emissions by 2035. To stay on course, the group had to overcome a major obstacle: the lack of standardized energy and production data across its sites, which prevented truly data-driven decision-making and limited information sharing with internal and external partners. Deploying AVEVA PI System unified the collection, visualization and sharing of this strategic data across the entire organization, enabling genuine energy optimization. Teams now have a clear, shared view of energy performance, turning the sustainability strategy into concrete action. The results speak for themselves: energy consumption down 30%, CO2 emissions per ton of product down 39%, and a credible path to a further 50% reduction by 2030.

Objectives

  • Standardize energy and production data across sites to enable truly data-driven decision-making
  • Facilitate information sharing with internal and external partners through a unified platform
  • Supporting the goal of scope 1 and 2 carbon neutrality by 2035 by improving the energy efficiency of polymer production

Solutions

  • AVEVA PI System

Results

  • Energy consumption reduced by 30%
  • Reduction of CO2 emissions by 39% per tonne of product
  • On track for a 50% reduction in consumption and emissions by 2030

Testimonials

"I believe that starting easy, starting simple, actually gives more success than the concept of the 'big bang'."
Dr Felix Hanisch
Head of Process Control Technology, Covestro

FAQ

How does AVEVA PI System support a Scope 1 and 2 carbon neutrality goal?
AVEVA PI System collects, standardizes and contextualizes energy and production data from all Covestro sites, turning its sustainability strategy into concrete action. The platform makes energy performance visible and shareable, helping to identify efficiency opportunities and drive decarbonization projects. For a polymer manufacturer targeting net zero emissions by 2035, it is an essential foundation for digital transformation and multi-site energy optimization.
Why standardize energy and production data across all industrial sites?
Without standardization, each Covestro site produced data in heterogeneous formats, making reliable comparisons and data-driven decision-making impossible. AVEVA PI System unifies the collection and semantics of indicators across the group, making it easier to share them with internal and external partners. This common foundation makes it possible to aggregate industrial performance, benchmark sites against each other and precisely identify the levers for reducing energy consumption.
What concrete results has Covestro achieved with AVEVA PI System?
Covestro reports a 30% reduction in energy consumption and a 39% reduction in CO? emissions per ton of product, and is on track to achieve a further 50% reduction by 2030. These gains show that a real-time industrial data management platform such as AVEVA PI System is a major lever for environmental and economic performance. Data becomes a strategic asset serving the ESG objectives of a global polymer leader.
How does AVEVA PI System facilitate collaboration with external partners?
AVEVA PI System offers a unified platform for sharing contextualized data, accessible to internal partners (purchasing, production, R&D) as well as external ones (energy suppliers, auditors, customers). This transparency is essential in chemicals, where decarbonization requires coordinating the entire value chain. Covestro's reliable, standardized data thus enables credible ESG reporting and joint action plans with partners in the industrial ecosystem.
What is data-driven decision-making in the chemical industry?
Data-driven decision-making relies on real-time, reliable and contextualized indicators rather than intuition or fixed periodic reports. At Covestro, AVEVA PI System makes the energy consumption of each production line visible, making it possible to arbitrate between throughput, product mix and operating setpoints. This approach shifts industrial performance from management by exception to proactive control, which is essential for achieving ambitious emissions reduction targets in chemicals.