Are you using the most cost effective methods for obtaining heat rate improvements for your coal fired power plant?
Operating a coal fired power plant at the lowest possible heat rate has several benefits including lower green house gas emissions and fuel usage. Combustion optimization with neural networks and multi variable model predictive control techniques and intelligent soot blowers are two of the most cost effective methods for obtaining heat rate improvements of up to 1.5%.
The US EPA requires an assessment of heat rate improvements with neural networks and intelligent soot blowers as one of the best systems of emissions reduction for coal fired power plants as part of the Affordable Clean Energy Rule published on July 8, 2019. In addition to the potential for fuel savings of hundreds of thousands of dollars per year per unit by reducing heat losses from excess oxygen in the boiler flue, improving steam temperatures for maximum thermal efficiency and lowering loss on ignition, these systems can improve the reliability and dispatchability of units.
- Understand the applicable provisions of the Affordable Clean Energy Rule
- Learn about neural network and intelligent soot blower techniques for reducing emissions by improving heat rate
- Discover other power plant improvements that neural networks and multi variable model predictive control may deliver
- Explore case studies of coal fired power plants that have already benefited from these technologies
- Discuss how AVEVA can help with power plant emissions reductions
Duration: One hour