The use of near infrared hyperspectral imaging for the prediction of processing parameters associated with the pelleting of biomass feedstocks
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- 作者：Gary D. Gillespiea ; gary.gillespie@ucdconnect.ie" class="auth_mail" title="E-mail the corresponding author ; Damien J. Farrellya ; Colm D. Everarda ; Kevin P. McDonnellb ; c
- 关键词：Biomass ; Pellets ; Electrical consumption ; Hyperspectral imaging ; Bioenergy ; Spectroscopy
- 刊名：Fuel Processing Technology
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：152
- 期：Complete
- 页码：343-349
- 全文大小：726 K
文摘
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Hyperspectral imaging was used to predict processing parameters of a pellet mill.
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Moisture content was accurately predicted with an R2 value of 0.94.
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Specific energy and feed rate models allow approximate predictions to be made.
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Image analysis ensures the efficient mixing of biomass feedstocks is maintained.