2016
DOI: 10.1016/j.enconman.2016.02.036
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Advanced modelling and testing of a 13 MW th waste wood-fired grate boiler with recycled flue gas

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Cited by 44 publications
(10 citation statements)
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“…It was found that a major part of the bed models in large-scale grate furnaces is empirical [16,17,175,177,181,182,184,186]. This finding was confirmed by Yin et al [173], claiming that such experience-and measurement-based models are attractive due to their robustness.…”
Section: Approach Short Descriptionmentioning
confidence: 79%
See 1 more Smart Citation
“…It was found that a major part of the bed models in large-scale grate furnaces is empirical [16,17,175,177,181,182,184,186]. This finding was confirmed by Yin et al [173], claiming that such experience-and measurement-based models are attractive due to their robustness.…”
Section: Approach Short Descriptionmentioning
confidence: 79%
“…Some empirical 1D bed models do, however, include a dynamic coupling between the bed and the gas phase [186]. The dynamic coupling is then done with the radiative heat flux emitted by the flame and the furnace walls, which heats up the fuel bed, as well as the mass flux of combustible gases from the fuel bed into the gas phase.…”
Section: Approach Short Descriptionmentioning
confidence: 99%
“…Then, an overall heat and mass balance of fuel components and primary air can be solved to obtain the lengthwise profiles of temperature, species and velocity on the top of the dense fuel bed along the grate. Such profiles are used as the grate inlet conditions for the freeboard CFD (Blasiak et al, 2006;Goerner and Klasen, 2006;Kim et al, 1996;Klason and Bai 2006;Rajh et al, 2016;Stubenberger et al, 2008;Weissinger et al, 2004;Yin et al, 2008bYin et al, , 2012.…”
Section: Overall Modeling Strategymentioning
confidence: 99%
“…Mathematical modeling is a useful tool for the investigation of such thermal processes, as it can be used to study a given system without the need to run several experimental tests (Fournel et al, 2015). The models can be built by studying the system behavior through equations that describe the physical and chemical phenomena involved in the process, such as Computational Fluid Dynamics or transient models (Silveira et al, 2017;Rajh et al, 2016;Siqueira et al, 2012). Although these types of models can describe several phenomena, they require considerable detailed information about the system and computational resources.…”
Section: Introductionmentioning
confidence: 99%