Reducing energy consumption and emissions of chemical plants by predictive modelling
3 ways how KROHNE can help you increase overall efficiency:
In the chemical industry, efficient pipeline management is crucial for minimising energy consumption and reducing emissions. Pipelines are the lifelines of chemical plants, transporting raw materials and products across various stages of production. However, inefficiencies or failures in pipeline operations can lead to excessive energy use, increased emissions, and costly disruptions. KROHNE’s PipePatrol Predictive Modelling and Digital Twin technology offer a cutting-edge solution to these challenges by enabling proactive management and optimisation of pipeline systems.
Why is this important?
Imagine a chemical plant where pipelines transport volatile chemicals between processing units. These pipelines must operate under precise conditions to ensure safety, efficiency, and environmental compliance. Any deviation in pressure, temperature, or flow rate can result in increased energy consumption and higher emissions. For instance, if a pipeline feed fails unexpectedly, it can lead to a significant spike in energy usage as the system compensates to maintain operation. PipePatrol’s Predictive Modelling and Digital Twin technology continuously monitor these pipelines, providing real-time insights and forecasting potential issues before they become critical, looking 24 hours or longer into the future. This allows operators to make informed decisions that optimise energy use and minimise emissions.
How does KROHNE’s PipePatrol Predictive Modelling and digital twin help?
PipePatrol integrates predictive modelling with digital twin technology to create a virtual representation of the pipeline system. This is how it works:
Real-Time monitoring and prediction
The system continuously evaluates the current state of the pipeline and predicts future behaviour based on continuously comparing a real-time simulation to measured data and process conditions. This predictive capability allows operators to take pre-emptive actions, such as adjusting flow rates or switching feed lines, to maintain optimum pipeline performance.
Digital twin technology
The digital twin mirrors the physical pipeline system, simulating its thermodynamic and fluid-mechanical conditions. This virtual model enables operators to test different scenarios, foresee potential disruptions, and implement corrective actions without impacting the actual operation.
Energy and emissions optimisation
By predicting and mitigating pipeline inefficiencies, the system helps to reduce unnecessary energy consumption and lower emissions, supporting the plant’s sustainability goals.
Contribution to Sustainability
Energy efficiency : PipePatrol’s predictive capabilities allow for precise control of pipeline operations, reducing energy waste by ensuring the system runs under optimum conditions at all times.
Emissions reduction : By preventing pipeline disruptions and inefficiencies, the system minimises the need for reactive measures that often result in increased emissions. This proactive approach supports compliance with environmental regulations and contributes to a lower carbon footprint.
Resource optimisation : The system's ability to predict and prevent failures also reduces the need for frequent maintenance and replacement of pipeline components, conserving resources and reducing the environmental impact associated with these activities.
Further Benefits
Predictive pipeline simulation : The system simulates the future state of the pipeline based on current data, enabling operators to foresee and prevent potential issues.
Digital twin for testing and optimisation : The digital twin provides a virtual environment for testing different operational scenarios, allowing for the optimisation of energy use and emission reduction without disrupting actual operations.
Real-Time alerts and actionable insights : Operators receive real-time alerts about potential inefficiencies or failures, along with actionable insights for corrective measures.
The solution for sustainable pipeline management
In chemical plants, efficient pipeline operation is key to reducing energy consumption and emissions. KROHNE’s PipePatrol Predictive Modelling and Digital Twin technology provide a comprehensive solution for achieving these goals. By continuously monitoring pipeline conditions, predicting potential issues, and allowing for proactive management, PipePatrol not only enhances operational efficiency but also plays a critical role in the plant’s overall sustainability strategy.
With PipePatrol, chemical plants can achieve significant reductions in energy consumption and emissions, ensuring a more sustainable and efficient operation. This advanced technology empowers operators to make data-driven decisions that enhance both performance and environmental stewardship.