Multi-step-ahead prediction of NOx emissions for a coal-based boiler

J. Smrekar, P. Potočnik and A. Senegačnik

Applied Energy, 2013, vol. 106, issue C, 89-99

Abstract: Until 2016 power plants within the EU will have to meet new limits on emissions as dictated by EU regulations. One of the major challenges is to reduce emissions of nitrogen oxides (NOx) due to health and ozone-formation concerns. Combustion optimisation is one of the primary measures for reducing NOx emissions from boilers burning coal, oil, or natural gas. The optimisation can be achieved by excess air control, boiler fine tuning and balancing the fuel and air flow to the various burners in order to reach minimum NOx formation.

Keywords: Coal-based boiler; Multi-step-ahead prediction; NOx emissions; Linear models; Neural networks; Support vector regression (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (27)

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DOI: 10.1016/j.apenergy.2012.10.056

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