Power Industry Webinar Production & Promotion

Self-Tuning Artificial Intelligence (AI) Technology Enables Coal & Gas Power Plants Achieve Flexible Generation

Adex WE.jpg

Topics presented in the webinar will include:

  • Applying the self-tuning AI platform to improve thermal efficiency, increase flexibility, and reduce emissions in coal, gas, biomass and WTE power plants

  • Addressing load changes, start-up flexibility, and ramping rate constraints in CCGT plants

  • Case study highlighting a 150% increased ramping rate with a 25% decrease in Minimum Load Point at Bizkaia Energia, a 786 MW CCGT plant

  • Payback & ROI considerations

In this informative webinar, Jose Martínez, CEO of ADEX, will discuss an energized AI platform that does not require additional investment on equipment or I&C.

Below are some of the questions discussed during the webinar:

  • How many coal plants have you installed the system in and where?

  • Does ADEX technology remain active throughout the operating cycle? In other words, during start-up, part load, baseload, and shutdown.

  • For optimum ADEX performance, does it require replacing or upgrading plant instruments?

  • How is the ADEX solution different from or compatible with Auto Tune technology such as DLN2.0 or others?

  • What is the technology base if it is not machine learning?

  • How does your software deal with instrument readings drifting out of calibration, such as O2 probes and pressure transmitters, plugged pressure transmitter sensing lines, instrument sudden malfunctions, and other instrument issues?

  • Does ADEX have a patent for the solutions?

  • OPC communication is dependent on commercial grade computers. Is it robust enough for industrial control?

  • How is the output from ADEX control connected to the DCS? Are you changing the bias or taking total control?

  • When ADEX is installed, does the existing plant DCS system need to be adapted?