InformationEmission Monitoring with Weel & Sandvig's Digital Platform

Emission Monitoring with Weel & Sandvig's Digital Platform

Weel & Sandvig (WS) is proud to introduce WS.PEMS (Predictive Emission Monitoring System), an innovative solution that elevates the standards of emission monitoring. Designed to achieve high accuracy and reliability, WS.PEMS helps industries such as power, oil, and gas meet stringent environmental regulations.

WS Digital Platform Architecture

At the heart of WS.PEMS is the WS Digital Platform, a robust ecosystem engineered for comprehensive emission monitoring and reporting. This platform seamlessly integrates various modules, ensuring smooth data communication, real-time monitoring, advanced analytics, and strict regulatory compliance.

The web interface of the WS Digital Platform employs secure protocols like SSL and HTTPS, with support for Single Sign-On (SSO) to provide secure and authenticated access. Data communication is facilitated through multiple protocols, including OPC DA, OPC UA, HTTP APIs, and PI SDK, ensuring versatile and robust data exchange.

Core Modules of the WS Digital Platform

The WS Digital Platform is composed of several core modules, each contributing to its overall functionality.

WS.Reporting is designed to generate detailed and customizable emission reports, adhering to standards such as EN 17255 and OGMP 2.0. It automates data accumulation processes, allowing for continuous aggregation and analysis.

WS.PEMS offers real-time monitoring of emission levels, ensuring compliance with environmental regulations. It employs sophisticated analytical tools to provide precise data on various emission parameters, supporting informed decision-making. The system also features real-time alerts to notify users of any emission anomalies, enabling prompt corrective actions.

WS.Performance focuses on optimizing energy consumption through advanced algorithms and implements predictive maintenance strategies to enhance operational efficiency and reduce downtime.

WS.CORE - Digital Twin Platform includes several essential components:

• Orchestra, which handles pipeline management, model orchestration, event systems, and alarms.
• First Principle, featuring a thermodynamic engine for accurate flow calculation and data reconciliation.
• ML/AI, integrating machine learning for data analysis and supporting ONNX runtime for real-time model execution.

Technical Capabilities of WS.PEMS

The technical prowess of WS.PEMS is evident in its use of first principle models, which leverage physical relations such as energy and mass balances to calculate emissions. These models correlate energy inputs, like fuel and air, with outputs, such as product streams and exhaust flows, and perform component balances for elements like nitrogen and oxygen.

To accurately predict emissions, WS.PEMS applies kinetic reaction models that consider combustion conditions, component compositions, temperatures, and pressures throughout the process. This approach ensures precise and reliable emission predictions.

Sensor reliability and error detection are crucial aspects of WS.PEMS. The system incorporates robust mechanisms to evaluate sensor performance by calculating heat and mass balance errors. This allows the system to estimate measurement errors and discard invalid input values, raising alerts when necessary.

WS.PEMS also excels in data validation and error handling. Advanced algorithms ensure rigorous data validation, maintaining high standards of data integrity. The adaptive error handling mechanism allows for continuous operation by estimating fallback values during anomalies, ensuring uninterrupted monitoring and analysis.

Versatile Integration and Deployment

WS.PEMS offers flexible deployment options to suit various organizational needs. It can be deployed on a centralized network layer, interfacing with shadow PI/DAHS systems. This setup is ideal for organizations managing multiple sites, providing consolidated management and comprehensive oversight.

A hybrid deployment model combines on-premises data processing with centralized reporting, balancing immediate data access with comprehensive oversight. This flexibility caters to specific operational and reporting requirements.

For organizations requiring direct interaction with PI/DAHS systems, WS.PEMS offers on-premises deployment options. This method provides real-time data processing and enhanced control over security and data access.

Conclusion

Weel & Sandvig's WS.PEMS stands out as a technically advanced solution for predictive emission monitoring. Its real-time tracking, advanced analytics, and robust data validation mechanisms ensure that industries can achieve regulatory compliance and optimize their environmental performance. The flexibility in deployment and integration makes WS.PEMS adaptable to diverse industrial needs, supporting their sustainability goals.