Field Demonstration of Artificial Intelligence Powered Predictive Emissions Monitoring Systems

Solution Developer

VL Energy Ltd.

Project Description

VL Energy has developed a first-of-its-kind artificial intelligence (AI) powered Predictive Emissions Monitoring Systems (PEMSs). Using cloud computing, the PEMSs utilize the operating parameters of combustion equipment through AI methods to power predictive models for emission monitoring.

Industrial facilities with large stationary combustion sources are required to equip with one or more Continuous Emissions Monitoring Systems (CEMSs) to monitor air emissions for compliance with regulatory emission limits. However, CEMSs require high initial capital and operating costs, as well as frequent maintenance and operator training.

VL Energy’s monitoring systems can be used for process optimization, air emissions (NOx, SO2) monitoring, and preventative and predictive maintenance to reduce GHG emissions from non-routine venting, flaring and fugitives. In addition, this technological solution eliminates the health and safety hazards that are typical in CEMSs sampling processes.

Compared to existing CEMSs, VL Energy’s systems have the potential to reduce direct and indirect maintenance costs by 80% per year and have almost no engineering, procurement and construction (EPC) costs.

Benefits/Outcomes

• More accurate and safer monitoring of emissions

• Reduction of emissions from venting, flaring and fugitives

• Drastic reduction of capital and operating costs as compared to Continuous Emissions Monitoring Systems (CEMSs)

Project Resources