Compared with the contact and offline flame monitoring methods, the online flame
monitoring method does not interfere with the measurement site and can reflect the …

A machine vision driven sensor for estimating the instantaneous feeding rate of pelletized
fuels was developed and tested experimentally in combustion and gasification processes …

This work investigates the usage of deep neural networks for predicting the thermal output of
a 3 MW, grate-fired biomass boiler, based on routinely measured operating parameters and …

When monitoring combustion conditions, detecting minor variations, which may be complex
even for the human eye, is critical for providing a fast response and correcting deviations …

This study investigates the ignition characteristics of pulverised coal, biomass and co-firing
by use of a visual drop tube furnace (VDTF) and a high speed imaging technique. Three …

A combination of image processing techniques and regression models was evaluated for
predicting equivalence ratio and major species concentration (H 2, CO, CO 2 and CH 4) …

The sustainability and decarbonization of processes in the steel industry are enhanced with
the valorization of the gas generated during the chemical reactions produced in blast …

Forced intermittent combustion with periodical variations of pressure, velocity, and air-fuel
ratios is a promising method to increase efficiency and reduce emissions from combustion …

It is no doubt that the most important contributing cause of global efficiency of coal fired
thermal systems is combustion efficiency. In this study, the relationship between the flame …

In order to ascertain the effects of the hydrogen addition and the primary air-fuel ratio on
burner performance and emissions, we conduct tests on a commercial atmospheric gas …