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Biomass to fuel cells state of the art: A review of the most innovative technology solutions


Katia Gallucci

Pier Ugo Foscolo

Stephen J. McPhail

A. Di Carlo

Mauro Villarini

Enrico Bocci

Maurizio Carlini

Katia Gallucci

Pier Ugo Foscolo

Stephen J. McPhail

A. Di Carlo

Mauro Villarini

Enrico Bocci

Maurizio Carlini
Abstract Fuel Cells fed with locally produced biogenous primary fuels can convert renewable energy into electricity with high efficiencies, in an environment friendly and CO 2 -neutral manner. The paper analyses different biomass conversion processes, gas conditioning technologies, fuel cells typologies and power plant configurations, focusing on the most suitable gasification and anaerobic digestion processes coupled to high temperature fuel cells. The paper shows that the conversion systems have to be analysed from global perspective including feedstock, processes and plant configurations in order to obtain high reliability and efficiency and low emissions. Indeed, the presence, in the raw produced gas, of particulate, organic and inorganic impurities renders the coupling of biomass-derived gases and Fuel Cells problematic, especially in the case of gasification. However, recently developed hot gas cleaning technologies could improve energy efficiency and lower operational costs for high-temperature utilizations of the biomass-derived gas. Finally, further research and demonstration activities are required in order to improve power plant reliability and reduce global capital cost, especially at the more suitable small scale size.
- Sapienza University of Rome Italy
- Marconi University Italy
- University of L'Aquila Italy
- ENEA Italy
- Tuscia University Italy
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).95 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
