Principal component analysis and partial least square regression models to understand sorption-enhanced biomass gasification

Autor: Callén Romero, Mª Soledad, Martínez Berges, Isabel, Grasa Adiego, Gemma, López Sebastián, José Manuel, Murillo Villuendas, Ramón
Přispěvatelé: Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Commission, Gobierno de Aragón, Callén Romero, Mª Soledad, Martínez Berges, Isabel, Grasa Adiego, Gemma, López Sebastián, José Manuel, Murillo Villuendas, Ramón, Callén Romero, Mª Soledad [0000-0001-6063-7386], Martínez Berges, Isabel [0000-0002-2364-463X], Grasa Adiego, Gemma [0000-0002-4242-5846], López Sebastián, José Manuel [0000-0002-6203-8835], Murillo Villuendas, Ramón [0000-0002-0299-506X]
Rok vydání: 2022
Předmět:
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
instname
ISSN: 2190-6823
2190-6815
DOI: 10.1007/s13399-022-02496-z
Popis: 5 figures, 5 tables.-- Supplementary information available.
Gasification represents a potential technology for the conversion of biomass into usable energy. The influence of the main gasification parameters, i.e. the type of biomass used and its composition, as well as the composition of the outlet gas, were studied by a multivariate statistical analysis based on principal component analysis (PCA) and partial least square (PLS) regression models in order to identify the main correlations between them and to the contents of methane, ethylene and tar in the outlet gas. In this work, the experimental data used as input for the multivariate statistical analysis came from a TRL-4 gasification plant running under sorption enhanced conditions, i.e. using steam as the gasifying agent and CaO as the bed material. The composition of the biomass feed played an important role in the quality of the outlet gas composition. In fact, biomasses with high ash and sulphur contents (municipal solid waste) increased ethylene content, while those with high-volatile matter content and fixed C content (wood pellets, straw pellets and grape seeds) mainly increased CO and CO2 formation. By increasing the gasification bed temperature and the CaO/C ratio, it was possible to reduce the methane and the collected tar contents in the outlet gas. Other light hydrocarbons could also be reduced by controlling the Treactor and TFB. Methane, ethylene and tar contents were modelled, cross-validated and tested with a new set of samples by PLS obtaining results with an average overall error between 8 and 26%. The statistically significant variables to predict methane and ethylene content were positively associated to the thermal input and negatively to the CaO/C ratio. The biomass composition was also remarkable for both variables, as mentioned in the PCA analysis. As far as the tar content, which is undesirable in all gasification processes, the decrease in the tar content was favoured by high bed temperature, low thermal input and biomass with high-volatile matter content. In order to produce an outlet gas with adequate quality (e.g. low tar content), a compromise should be found to balance average bed temperature, sorbent-to-mass ratio, and ultimate and proximate analyses of the biomass feed.
This work was supported by the Spanish Ministry of Science and Innovation, the State Research Agency and the European Funds for Regional Development (No. RTI2018-095575-B-I00, MCI/AEI/FEDER, UE) and the Regional Aragon Government (DGA) under the research groups’ support programme and the research project LMP178_18. I. Martínez thanks the grant RYC2019-026929-I funded by MCIN/AEI/10.13039/501100011033 and EI FSE Invierte en tu futuro.
Databáze: OpenAIRE
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