Capper, S., Khan, Z., Kamble, P., Sharp, J. and Watson, I. (2017) Progression towards online tar detection systems. Energy Procedia, 142, pp. 892-897. (doi: 10.1016/j.egypro.2017.12.143)
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Abstract
The most prohibitive aspect with the commercialisation of biomass gasification technology is tar fouling of the product gas. The presence of tar impacts the efficiency of gasification systems and compromises gas quality, rendering it less useful for some downstream applications sensitive to gas quality. Various tar detection methods are reported in the literature which can be differentiated into offline and online techniques. However, offline techniques are found to be time consuming, expansive and require sufficient instrumentation and knowledge to achieve reliable results. Recent advances in online tar detection based on spectral information of individual tar component have attracted much research attention. Among these, fluorescence spectroscopy is a highly promising technique for the provision of distinctive, non-invasive and real time data collection for tar levels which can be easily installed on gasification product gas streams. This paper presents the initial work on developing a low cost tar detection system based on LED induced fluorescence. The detection system mainly consists of a photomultiplier tube (PMT), LED (emission wavelength of 280 nm) and 300 nm longpass colour glass filter. Initial experiments have been carried out with different concentrations (0 to 100 wt%) of phenol (used as a model tar compound) and bio-oil samples from an in-house, downdraft (throated) fixed bed gasification system. The results show a linear increase of fluorescence with phenol and the gasifier bio-oil at different concentrations.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Watson, Dr Ian and Khan, Dr Zakir and Kamble, Mr Prashant and Sharp, Dr James and Capper, Sean |
| Authors: | Capper, S., Khan, Z., Kamble, P., Sharp, J., and Watson, I. |
| College/School: | College of Science and Engineering > School of Engineering > Systems Power and Energy |
| Journal Name: | Energy Procedia |
| Publisher: | Elsevier |
| ISSN: | 1876-6102 |
| Published Online: | 31 January 2018 |
| Copyright Holders: | Copyright © 2017 The Authors |
| First Published: | First published in Energy Procedia 142: 892-897 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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