Perovskite sensing materials for syngas composition monitoring and biomass gasifier numerical model validation: A preliminary approach

V. Pallozzi, A. Di Carlo, F. Zaza, M. Villarini, M. Carlini, E. Bocci

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

Biomass gasification represents a suitable choice for global environmental impact reduction, but more efforts on the process efficiency need to be conducted in order to enhance the use of this technology. Studies on inputs and outputs of the process, as well as measurements and controls of syngas composition and correlated organic and inorganic impurities, are crucial points for the optimization of the entire process: models of the system and sensing devices are, thus, very attractive for this purpose. In particular, perovskite based chemoresistive sensors could represent a promising technology, since their simplicity in function, relatively low cost and direct high temperature operation. The aim of this work is to develop a steam fluidized bed biomass gasifier model, for the prediction of the process gas composition, and new perovskite compounds, LaFeO3based, as sensing material of chemoresistive sensors for syngas composition and impurities measurements. Chemometric analysis on the combustion synthesis via citrate-nitrate technique of LaFeO3was also performed, in order to evaluate the relationship between synthesis conditions and perovskite materials and, thus, sensor properties. Performance of different sensors will be tested, in next works, with the support of the developed gasifier model.
Original languageEnglish
DOIs
Publication statusPublished - 23 Jun 2016
Externally publishedYes
EventNANOITALY 2015 - Rome, Italy
Duration: 23 Jun 2016 → …

Conference

ConferenceNANOITALY 2015
CountryItaly
CityRome
Period23/6/16 → …

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All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Pallozzi, V., Di Carlo, A., Zaza, F., Villarini, M., Carlini, M., & Bocci, E. (2016). Perovskite sensing materials for syngas composition monitoring and biomass gasifier numerical model validation: A preliminary approach. Paper presented at NANOITALY 2015, Rome, Italy. https://doi.org/10.1063/1.4954485