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Fast Determination of Fuel Properties in Solid Biofuel Mixtures by Near Infrared Spectroscopy
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. (Future Energy Center)ORCID iD: 0000-0002-5341-3656
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-8466-356X
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-8191-4901
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0001-5480-0167
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2017 (English)In: Energy Procedia, ISSN 1876-6102, E-ISSN 1876-6102, Vol. 105, 1309-1317 p.Article in journal (Refereed) Published
Abstract [en]

This paper focuses on the characterization of highly variable biofuel properties such as moisture content, ash content and higher heating value by near-infrared (NIR) spectroscopy. Experiments were performed on different biofuel sample mixtures consisting of stem wood chips, forest residue chips, bark, sawdust, and peat. NIR scans were performed using a Fourier transform NIR instrument, and reference values were obtained according to standardized laboratory methods. Spectral data were pre-processed by Multiplicative scatter correction correcting light scattering and change in a path length for each sample. Multivariate calibration was carried out employing Partial least squares regression while absorbance values from full NIR spectral range (12,000–4000 cm-1), and reference values were used as inputs. It was demonstrated that different solid biofuel properties can be measured by means of NIR spectroscopy. The accuracy of the models is satisfactory for industrial implementation towards improved process control. 

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2017. Vol. 105, 1309-1317 p.
Keyword [en]
Ash content; biofuels; higher heating value, moisture content, Near infrared spectroscopy, NIRS.
National Category
Energy Systems Analytical Chemistry
Research subject
Energy- and Environmental Engineering; Biotechnology/Chemical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-33988DOI: 10.1016/j.egypro.2017.03.476Scopus ID: 2-s2.0-85020707357OAI: oai:DiVA.org:mdh-33988DiVA: diva2:1049967
Conference
8th International Conference on Applied Energy, ICAE 2016; Beijing; China; 8 October 2016 through 11 October 2016
Available from: 2016-11-27 Created: 2016-11-27 Last updated: 2017-06-29Bibliographically approved
In thesis
1. Near-Infrared Spectroscopy and Extractive Probe Sampling for Biomass and Combustion Characterization
Open this publication in new window or tab >>Near-Infrared Spectroscopy and Extractive Probe Sampling for Biomass and Combustion Characterization
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Biomass is characterized by highly variable properties. It can be converted to more valuable energy forms and products through a variety of conversion processes. This thesis focuses on addressing several important issues related to combustion and pulping.

Experimental investigations were carried out on a biomass-fired industrial fluidized-bed boiler. The observed combustion asymmetry was explained by an imbalance in the fuel feed. Increased levels of carbon monoxide were detected close to boiler walls which contribute significantly to the risk of wall corrosion.

Moreover, extensive literature analysis showed that near-infrared spectroscopy (NIRS) has a great potential to provide property information for heterogeneous feedstocks or products, and to directly monitor processes producing/processing biofuels in real-time. The developed NIRS-based models were able to predict characteristics such as heating value, ash content and glass content. A study focusing on the influence of different spectra acquisition parameters on lignin quantification was carried out. Spectral data acquired on moving woodchips were found to increase the representativeness of the spectral measurements leading to improvements in model performance.

The present thesis demonstrates the potential of developing NIRS-based soft-sensors for characterization of biomass properties. The on-line installation of such sensors in an industrial setting can enable feed-forward process control, diagnostics and optimization.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2017
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 224
National Category
Energy Systems Chemical Process Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-35041 (URN)978-91-7485-317-9 (ISBN)
Public defence
2017-04-26, Pi, Mälardalens högskola, Västerås, 09:15 (English)
Opponent
Supervisors
Available from: 2017-03-20 Created: 2017-03-19 Last updated: 2017-04-18Bibliographically approved

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Skvaril, JanKyprianidis, KonstantinosAvelin, AndersOdlare, MonicaDahlquist, Erik
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