2016
DOI: 10.1016/j.energy.2016.07.060
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On the development of a wood gasification modelling approach with special emphasis on primary devolatilization and tar formation and destruction phenomena

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Cited by 7 publications
(4 citation statements)
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“…Thermal gasification converts fuel into syngas with chars and tar as byproducts formed during the process which restricts practical applications. These byproducts are also harmful to the environment and human health, therefore, it is essential to reduce their production [29]. To evaluate the quantity of tar production during the tests, as previously mentioned, the tars condense and are retained in the bottom biomass filter well, as in the piping end where they are condensed due to temperatures below 300 • C (last stage before the flare).…”
Section: Tarsmentioning
confidence: 99%
“…Thermal gasification converts fuel into syngas with chars and tar as byproducts formed during the process which restricts practical applications. These byproducts are also harmful to the environment and human health, therefore, it is essential to reduce their production [29]. To evaluate the quantity of tar production during the tests, as previously mentioned, the tars condense and are retained in the bottom biomass filter well, as in the piping end where they are condensed due to temperatures below 300 • C (last stage before the flare).…”
Section: Tarsmentioning
confidence: 99%
“…During the gasification process, tar (polycyclic aromatic compounds with molecular weight higher than that of benzene) and particulate matter are generated. These substances are dangerous both for the engine and for human health and it is therefore necessary to reduce their formation [29]. In order to estimate the particulate and tar content in the syngas, a modified version of the "Tar sampling protocol" [30] was implemented and shown in Figure 3.…”
Section: Tar and Particulate Samplingmentioning
confidence: 99%
“…Statistical models for tar yield prediction were described and used 96,97 . Thermodynamic modeling of oxidative tar conversion was used for parameter optimization 98 …”
Section: Introductionmentioning
confidence: 99%
“…Statistical models for tar yield prediction were described and used. 96,97 Thermodynamic modeling of oxidative tar conversion was used for parameter optimization. 98 The literature review shows that tar reduction is one of the main problems in biomass gasification technology implementation.…”
mentioning
confidence: 99%