Replace cumbersome hardware analyzes with lower-cost, zero maintenance software
Carbon Accounting
Measure your carbon footprint across scope 1, 2 and 3 emissions using actual activity data across your value chain
Reporting and disclosure
Generate sustainability reports according to any global or commonly accepted framework in seconds
Reduction roadmap
Take steps to reduce your carbon footprint with guidance from our expert consultants and insights generated by our A.I.
Reduction progress tracking
Track the ROI of your decarbonization investments with real-time emissions data
Manufacturing
Case Study
Polystyrene Manufacturer
Overview
One of the largest polystyrene manufacturers in Malaysia needed continuous, reliable and accurate emissions monitoring of heaters used in their polymerization process. They produced more than 200, 000 metric tons of Styrene Monomer per annum and had to meet stringent national regulations.
Challange
They were using decades-old hardware-based CEMS that had significant maintenance servicing costs and will need to be replaced in a few years.
Solution
Instead of purchasing a new CEMS, they adopted PEMS.ai to replace it as the primary monitoring system. PEMS.ai is a predictive emissions monitoring system that provides highly accurate and reliable real-time emissions monitoring using cutting-edge neural network models.
Results
Up to $1, 000, 000 in total cost of installing, operating and maintaining hardware-based CEMS by purchasing ownership of PEMS.ai
Less than 2% relative accuracy in RATA on all heaters, surpassing national regulations of <20% relative accuracy
Safety risks were reduced as employees no longer had to work from heights or manage hazardous calibration gas bottles
Real-time data eliminated the risk of fines or penalties associated with monitoring downtime
