Get prediction to make proactive decisions for your chemical plant

Market demand, price fluctuations and growing pressure to decarbonize and join the circular economy mean chemical companies are rethinking their operations. Now, they must find new ways to reduce waste and emissions, minimize downtime, and improve margins to increase competitive advantage and decrease environmental impact. To achieve this, each part of the operation - from the plant to the company, from processes to people - needs access to the right tools and knowledge to be more agile than ever.

Innovation is not just a long-term strategy

Innovation is not just a long-term strategy. Businesses must also take a short-term approach, and the best way is to use digital technology to give all stakeholders clear visibility into existing data, assets and processes, so they can drive continuous improvements every minute of the day. .

Chemical companies with a robust data infrastructure that can give users access to contextualized data are already one step ahead of the competition. With visibility into past and real-time operations, users can model and predict future performance and take active steps to achieve profitability and sustainability goals. When chemical operations rely on the right data to generate insights, companies can prioritize digital initiatives and users can make proactive decisions, ultimately enabling plants to be more agile than ever.

Predicting future plant performance to meet current goals requires a three-step approach to digital initiatives:

1. Data: The first step is to access operational data from multiple sources and build a digital strategy to ensure improvements. Many AVEVA customers use the AVEVA™ PI System™, which acts as a single source of truth for all operational data, giving users access to all data in a single, contextualized environment.

2. Display: Once all data is centralized in a data management infrastructure, users need access to the right tools to visualize the data and key performance indicators (KPIs). Today, users across the enterprise can view and access data and KPIs from full screens or tablets in the palm of their hands.

3. Models and analysis: Using models and analytics, users can take current and past data to predict plant and asset behavior. Using AVEVA™ Predictive Analytics, chemical operations can gain the right insights and guidance on what actions to take to keep operations stable, profitable, and in line with sustainability goals and overall business strategies. This can be taken a step further with the adoption of AVEVA™ Process Simulation. Decision makers gain insight into unmeasurable process variables to proactively predict reliability issues.