The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Modelling of tar formation and evolution for biomass gasification: A review
Open accessAbstract
Many by-products are generated during gasification, such as tar, NOx, SO2, and fly ash. In particular, tar elimination from the product gas is necessary to make gasification an attractive option. The presence of tar can cause operational problems to further equipment; heavy tars may condense on cooler surfaces downstream which can lead to blockage of particle filters and fuel lines. With the aim of establishing a mechanism for tar formation, tar precursors were identified based on biomass main components – lignin, cellulose and hemicellulose. This review describes the fundamentals of the possible mechanisms for tar formation and evolution, as well as the background for the development of a model for the simulation of a biomass fluidised bed gasifier.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Detailed kinetic modeling of the thermal degradation of lignins
Faravelli, T., Frassoldati, A., Migliavacca, G., & Ranzi, E. (2010) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2009.10.018 · Cited by 376
Attainment of the Theoretical Yield of Carbon from Biomass
Antal, M. J., Allen, S. G., Dai, X., Shimizu, B., Tam, M. S., & Grønli, M. (2000) · Industrial & Engineering Chemistry Research · doi:10.1021/ie000511u · Cited by 265
Kawamoto, H., Murayama, M., & Saka, S. (2003) · Journal of Wood Science · doi:10.1007/s10086-002-0487-5 · Cited by 229
Primary and secondary lignin pyrolysis reaction pathways
Jegers, H. E., & Klein, M. T. (1985) · Industrial & Engineering Chemistry Process Design and Development · doi:10.1021/i200028a030 · Cited by 182
Gas- and solid/liquid-phase reactions during pyrolysis of softwood and hardwood lignins
Asmadi, M., Kawamoto, H., & Saka, S. (2011) · Journal of Analytical and Applied Pyrolysis · doi:10.1016/j.jaap.2011.08.003 · Cited by 169
Cited by
An overview of advances in biomass gasification
Sikarwar, V. S., Zhao, M., Clough, P., Yao, J., Zhong, X., Memon, M. Z., Shah, N., Anthony, E. J., & Fennell, P. S. (2016) · Energy & Environmental Science · doi:10.1039/c6ee00935b · Cited by 1,258
Recent advances in the gasification of waste plastics. A critical overview
Lopez, G., Artetxe, M., Amutio, M., Alvarez, J., Bilbao, J., & Olazar, M. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2017.09.032 · Cited by 852
Volatile production from pyrolysis of cellulose, hemicellulose and lignin
Zhao, C., Jiang, E., & Chen, A. (2017) · Journal of the Energy Institute · doi:10.1016/j.joei.2016.08.004 · Cited by 458
Effect of Process Parameters on Slow Pyrolysis of Rice Straw: Product Yield and Energy Analysis
Sakhiya, A. K., Baghel, P., Pathak, S., Vijay, V. K., & Kaushal, P. (2020) · 2020 International Conference and Utility Exhibition on Energy, Environment and Climate Change (ICUE) · doi:10.1109/icue49301.2020.9306945 · Cited by 24
Metadata
- Authors
- Font Palma, C.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 111
- Pages
- 129-141
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W2002255385
- Cited by
- 372
- References
- 5
- FWCI
- 12.75
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modelling of tar formation and evolution for biomass gasification: A review. https://app.cochat.ai/papers/10.1016/j.apenergy.2013.04.082
- The paper
- Font Palma, C. (2013). Modelling of tar formation and evolution for biomass gasification: A review. Applied Energy. https://doi.org/10.1016/j.apenergy.2013.04.082
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
