nDimensional technology is used to help electric power generation plants increase their fuel efficiency and lower pollution by optimizing the combustion process. The concept is simple: Ensure a proper fuel-to-air mixture; however, the challenge is the fuel is being injected into a 5-story fireball by hundreds of burners along with air from hundreds of ports. The environment is too hostile for sensors anywhere but downstream as the exhaust heads to the stack. If there is too much air, it leads to NOx formation, a pollutant tightly controlled by the EPA, and lower fuel efficiency as heat escapes up the stack. If there is too little air, it leads to CO, the unburnt fuel that escapes as a gas up the stack.
Solution: To ensure the proper fuel-to-air mixture, prediction models are being used to estimate the NOx and CO levels at the stack (as measured by upstream sensors) along with the overall fuel efficiency (a detailed engineering calculation) based on the burner and air port settings. Optimization models then determine the best settings to lower NOx and increase fuel efficiency within CO constraints. On average, across the hundreds of combustion optimizers already installed, NOx emissions have been lowered by 10-25% and fuel efficiency has increased by 0.5-0.75%; having a recurring economic value of 100's of millions of dollars per year.