News Update
August 2026 — Rapid AI data center expansion is increasing demand for reliable electricity and driving growing interest in on-site and near-site natural gas power generation. Recent research published on August 23, 2026, reports that AI data center power demand is accelerating the deployment of natural gas turbines and highlights growing concerns about associated NOx emissions. The researchers used satellite observations to quantify NOx emissions from a gas-turbine power plant supporting AI infrastructure and calibrated their analysis against power-plant CEMS data.
The wider power market also reflects the trend. The trend is that growing AI data center demand has contributed to increased demand for gas turbines and new gas-fired generation capacity.
Why Does This Matter for NOx Emission Monitoring?
As more AI data centers use gas turbines, gas engines, or dedicated gas-fired power plants, NOx emission monitoring is becoming an increasingly important environmental and operational consideration.
During high-temperature combustion, the process generates NO and NO₂. Moreover, the emission levels can change with load, combustion conditions, operating hours, and emission-control performance. Continuous measurement helps operators understand actual emissions and monitor changes in plant performance. In the U.S. power sector, EPA regulations and programs have long relied on continuous monitoring for NOx emissions from many generating units.
Depending on the application, a NOx gas analyzer may measure NO and NO₂ directly, while O₂, CO, and CO₂ measurements can provide additional combustion and emissions data.
ESEGAS offers UV-DOAS-based solutions capable of directly measuring NO and NO₂ to calculate NOx, without requiring an NO₂-to-NO converter. ESEGAS designs UV-GAS-500 for NOx and flue gas analysis. Meanwhile, ESEGAS also provides broader gas analysis technologies for CEMS and industrial monitoring applications.
Looking for a NOx Gas Analyzer for Your Power Generation Project?
ESEGAS can help evaluate your target gases, measurement range, sampling conditions, and monitoring requirements to identify a suitable NOx emission monitoring solution for gas-fired power generation and AI data center.
