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Biomass gasification cogeneration – A review of state of the art technology and near future perspectives
Open accessAbstract
Abstract Biomass is a renewable resource from which a broad variety of commodities can be produced. However, the resource is scarce and must be used with care to avoid depleting future stock possibilities. Flexibility and efficiency in production are key characteristics for biomass conversion technologies in future energy systems. Thermal gasification of biomass is proved throughout this article to be both highly flexible and efficient if used optimally. Cogeneration processes with production of heat-and-power, heat-power-and-fuel or heat-power-and-fertilizer are described and compared. The following gasification platforms are included in the assessment: The Harboore up draft gasifier with gas engine, the Gussing FICFB gasifier with gas engine or PDU, the LT-CFB gasifier with steam cycle and nutrient recycling and finally the TwoStage down draft gasifier with gas engine, micro gas turbine (MGT), SOFC, SOFC/MGT or catalytic fuel synthesis.
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Clausen, L. R., Elmegaard, B., & Houbak, N. (2010) · Energy · doi:10.1016/j.energy.2010.09.004 · Cited by 140
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Metadata
- Authors
- Ahrenfeldt, J., Thomsen, T. P., Henriksen, U., & Clausen, L. R.
- Venue
- Applied Thermal Engineering
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 50
- Issue
- 2
- Pages
- 1407-1417
- ISSN
- 1359-4311 (ISSN-L)
- OpenAlex
- W2080992626
- Cited by
- 328
- References
- 1
- FWCI
- 7.66
- Type
- journal article
- Language
- en
- Open access
- green
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- Ahrenfeldt, J., Thomsen, T. P., Henriksen, U., & Clausen, L. R. (2013). Biomass gasification cogeneration – A review of state of the art technology and near future perspectives. Applied Thermal Engineering. https://doi.org/10.1016/j.applthermaleng.2011.12.040
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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.
