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Benefits of ES-PEMS Technology

PEMS Accuracy

 Higher accuracy than required by the regulator, ensuring more precise monitoring 

Fast Deployment

 Deployment time - PEMS deployment time with seamless integration and minimizing disruptions 

Data Availability
Cost Reduction

 Initial deployment cost reduction compared with CEMS 

 Reduction in fuel consumption and carbon dioxide emissions 

 Reduction in carbon monoxide emissions 

NOx Reduction

 Reduction in NOx emissions 

Downtime

ES-PEMS v.s CEMS

CEMS vs PEMS

ES-PEMS offers cost-effective, flexible adaptability and reduced downtime compared to traditional CEMS.

ES-PEMS Stands out through Diverse Functionalities

ES-PEMS

Detect Malfunction of CEMS

 Detecting malfunctions in CEMS with Physical Sensors begins with the sensors measuring various parameters. The data collected then flows into an Enterprise Data System (DCS), which aggregates and potentially processes it. Subsequently, the processed data is fed into a machine learning or deep learning model for analysis. This model compares the outputs of the traditional CEMS with those of ES-PEMS, evaluating their performance. If the variance exceeds a predefined threshold, maintenance alarms are triggered, alerting personnel to potential issues. 

Sensors, DCS, ML/DL Model

Detect and Correct Sensor Drift and Failure

 Detecting and correcting sensor drift and failure in ES-PEMS involves continuous monitoring of sensor performance. Data collected by physical sensors is analyzed using machine learning models to identify anomalies. Discrepancies between traditional CEMS and ES-PEMS outputs trigger maintenance alarms, prompting swift action to rectify issues and ensure accurate emissions monitoring. 

Efficient and Secure Predictive Emissions Monitoring System, Carbon Credit Validation

Cross-Validate Carbon Tax

 Cross-validating carbon tax is a feature integrated into our SaaS subscription service. With this function, ES-PEMS utilize monitored and predicted levels of CH4, CO2, and N2O to determine the equivalent CO2 emissions (CO2e). Subsequently, the CO2e calculated by ES-PEMS is compared against CO2e derived from emission factors and fuel consumption data. This validation process ensures the accuracy and reliability of the calculated CO2e values, enabling users to confidently assess and implement carbon taxation measures based on verified emissions data. 

Optimizing Operations

Optimize Device Operational Process and Setting

 

Optimize device operational processes and settings is a key function within our SaaS subscription service. Our ES-PEMS incorporates an optimization module designed to concurrently reduce emissions and enhance productivity. Through sophisticated algorithms, this module achieves emission reductions ranging from 30% to 50%. By leveraging inputs from Portable Gas Analyzer Measured Parameters and CEMS, our proprietary ES-PEMS model dynamically optimizes operational processes and settings.


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