mdh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Detection of glass in RDF using NIR spectroscopy
Mälardalen University, School of Business, Society and Engineering.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Purpose of this study was to investigate the possibilities of using Near-infrared (NIR) spectroscopy to detect glass in refuse derived fuel (RDF) as well as what on-line data of glass content could be used for in terms of boiler operation and performance determination. Sample configurations were done with dried RDF (to prevent mass loss due to moisture and spectroscopic disturbance) and increasing concentrations of colored soda-lime glass, total of 100 samples. Glass was randomly scattered among the RDF by shaking the added glass and RDF in a bucket to generate representative samples of real life conditions. NIR-spectra acquisition was done between 12000 and 4000 cm-1, at 8 cm-1 resolution and average of 32 scans. The determination of boiler performance was done in accordance to Swedish standards for acceptance testing and heat loss due to glass was treated as slag. Resulting performance calculations showed boiler efficiency via indirect method matching efficiency calculated via direct method (deviating at maximum 2 %) which validates the summarized losses (including due to glass). The heat loss due to glass was calculated to 0,068 MW/%glass, which equated to average of 0,16 MW for 2,37 % glass. Total heat loss was amounted to an average of 11,53 MW. The developed models were not satisfactory in their quality of regression prediction. Although some had, through pre-processing, good development of explained variance at increasing factors, but still had a “Not Applicable” coefficient of determination by regression prediction. The poor quality of models can be explained by poor glass detection (poor representation) of the spectroscopic instrument due to a combination of glass being randomly scattered in the background material and sometimes covered by RDF as well as that the NIR-spectroscopy light beam only hits a small area. By increasing the number of samples upwards 300 -500, the effect of random scatter of glass can be mitigated and acceptable models could be acquired.

Place, publisher, year, edition, pages
2018. , p. 55
Keywords [en]
NIR, spectroscopy, RDF, glass, CFB, boiler, performance, losses
Keywords [sv]
NIR, spektroskopi, RDF, glas, CFB, panna, prestanda, förluster
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-40290OAI: oai:DiVA.org:mdh-40290DiVA, id: diva2:1235512
External cooperation
Mälarenergi AB
Subject / course
Energy Engineering
Supervisors
Examiners
Projects
FUDIPOAvailable from: 2018-08-16 Created: 2018-07-26 Last updated: 2018-08-16Bibliographically approved

Open Access in DiVA

fulltext(3202 kB)53 downloads
File information
File name FULLTEXT01.pdfFile size 3202 kBChecksum SHA-512
de9f3ddaf6f785fdb73ff71f090d155ae896565317431e3ba649b990e431dc7eaa3d4984b6c3a56dbea76c5daacffdf641cc3b4854daf5c20db0bc09c6e55ac7
Type fulltextMimetype application/pdf

By organisation
School of Business, Society and Engineering
Energy Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 53 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 195 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf