Reducing Emissions through Gas Turbine Optimization

Stéphanie Raoul, Data Science Professional, AkerBP

AkerBP is optimizing gas turbines to reduce CO2 emissions by focusing on improving different component such as the air filter. Using Seeq, the team assessed air filter degradation and determined the best time for replacement by distinguishing degradation-related pressure changes from those due to turbine load. Through collaboration between Subject Matter Experts and Data Scientists, the AkerBP team was able to employ Seeq Prediction to quantify energy wastage from degraded filters and shift from calendar-based to condition-based maintenance strategies, further reducing emissions.