Identification of biomass co-combustion operating point using image processing

Andrzej Kotyra; Waldemar Wójcik; Aigul Iskakova; Sarsenbek Zhussupbektov

doi:10.1117/12.2070057

19 August 2014 Identification of biomass co-combustion operating point using image processing

Andrzej Kotyra, Waldemar Wójcik, Aigul Iskakova, Sarsenbek Zhussupbektov

Proceedings Volume 9291, 13th International Scientific Conference on Optical Sensors and Electronic Sensors; 929108 (2014) https://doi.org/10.1117/12.2070057
Event: 13th International Scientific Conference on Optical Sensors and Electronic Sensors, 2014, Lodz, Poland

Abstract

Thermal power and excess air coefficient are one of key parameters that characterize operating point of combustion process. In practice, they are hard to determine directly. The k-nearest neighbor (k-NN) regression algorithm was applied where some flame image geometric parameters were used as predictors. The model was assessed by carrying out several combustion tests for nine different settings of the laboratory combustion facility. Thermal power and excess air coefficient were kept constant and set independently for known biomass content.

Citation Download Citation

Andrzej Kotyra, Waldemar Wójcik, Aigul Iskakova, and Sarsenbek Zhussupbektov "Identification of biomass co-combustion operating point using image processing", Proc. SPIE 9291, 13th International Scientific Conference on Optical Sensors and Electronic Sensors, 929108 (19 August 2014); https://doi.org/10.1117/12.2070057

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