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Liang Wang

Research Scientist

Liang Wang

Research Scientist

Liang Wang
Phone: 480 64 531
Department: Thermal Energy
Office: Trondheim

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1812768

Medium-Density Fiberboard (MDF) is made by breaking down of wood as conifer wood thinnings and wood processing industry residues including sawdust, which is glued and pressed together, and is widely used as a building material. Woody residues from production of MDF (MDFres) is a large and available ...

Authors Wang Liang Skjevrak Geir Skreiberg Øyvind
Year 2019
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1760356

Biocarbon is a promising alternative to fossil reductants for decreasing greenhouse gas emissions and increasing sustainability of the metallurgical industry. In comparison to conventional reductants (i.e., coke and coal), biocarbon has low density, poor mechanical strength and high reactivity. Dens...

Authors Riva Lorenzo Nielsen Henrik Kofoed Buø Therese Videm Zhuo Hewen Yang Qing Yang Haiping Skreiberg Øyvind Wang Liang Bartocci Pietro Barbanera Marco Fantozzi Francesco
Year 2019
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1760330

A zero-dimensional mathematical model for downdraft gasification of biomass in fixed or slowly moving bed gasifiers was developed and implemented in Engineering Equation Solver (EES). The proposed model does not consider the gasification process as a black box, it takes into account the main gasific...

Authors Trninic Marta Stojiljković Dragoslava Manić Nebojsa Skreiberg Øyvind Wang Liang Jovović Aleksandar
Year 2019
Type Journal publication
Publication
https://www.sintef.no/en/publications/publication/?pubid=CRIStin+1756912

The isoconversional (or model-free) methods cannot provide meaningful kinetic description for most samples in thermal analysis. Nevertheless, they can serve as empirical models. A usable empirical model should describe well the observed data and should be suitable for predictions, too. For this purp...

Authors Várhegyi Gábor Wang Liang Skreiberg Øyvind
Year 2019
Type Journal publication