Viscosity Model Uncertainties in an Ash Stabilization Batch Mixing Process

T. Svantesson, A. Lauber, Gustaf Olsson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

Recycling wood ash from burnt wood (back to the forest grounds) is of great ecological importance. However, the ash cannot be recycled directly after combustion. There are several reasons for this, one being the volatility of wood ashes. Mixing ash/dolomite/water in order to obtain granular material is one method to stabilize wood ashes. The main problem is predicting the quantity of water to be added, since the necessary amount varies with the wood ash quality. One possible solution is to measure the mixture viscosity and study whether this parameter can be used to control the amount of added water. In this paper, the viscosity is estimated in the batch mixing process by measuring the normalized effective power Pe(t), that represents the rate of useful work being performed by the three-phase asynchronous machine used for the stirrer drive. The coherence function is used in order to detect any nonlinear relationship between the input-output data-the variable water flow and the normalized effective power Pe(t). It is shown that measuring Pe(t) is extraordinary well suited for future control of the amount of added water. First and second stage experiments are carried through in order to obtain a model of the viscosity dynamics
Original languageEnglish
Title of host publicationInstrumentation and Measurement Technology Conference, 2000. IMTC 2000. Proceedings of the 17th IEEE
Pages909-914
Volume2
DOIs
Publication statusPublished - 2000
EventIEEE Instrumentation and Measurement Technology Conference IMTC/2000 - Baltimore, Maryland, United States
Duration: 2000 May 1 → …

Publication series

Name
Volume2

Conference

ConferenceIEEE Instrumentation and Measurement Technology Conference IMTC/2000
Country/TerritoryUnited States
CityBaltimore, Maryland
Period2000/05/01 → …

Subject classification (UKÄ)

  • Other Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

  • autoregressive processes batch processing (industrial) bioenergy conversion covariance matrices matrix decomposition mixing modelling process control recursive estimation recycling uncertain systems viscosity wood processing

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