Multiscale Modeling of Drying as a Powerful Extension of the Macroscopic Approach: Application to Solid Wood and Biomass Processing

Perré, Patrick

doi:10.1080/07373937.2010.497079

Cited by 50 publications

(23 citation statements)

References 24 publications

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“…It is therefore beneficial to reduce this consumption. The fact that the number of mass transfer units along the stack is dramatically reduced as the drying progresses, [7] allows the airflow to be decreased without affecting the homogeneity of moisture content. Significant reductions in electricity consumption can be obtained without a deterioration of the product quality.…”

Section: Energy Savings In Conventional Kilnsmentioning

confidence: 99%

Energy Consumption in the Convective Drying of Timber Analyzed by a Multiscale Computational Model

et al. 2012

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Energy consumption during timber drying has become an increasingly important issue, alongside conventional concerns such as quality, cost, and drying time. This paper proposes a detailed analysis of the energy consumption evolution in conventional kiln drying using a sophisticated modelling approach. The formulation of energy consumption proposed by Perré et al. [1] was embedded in a multiscale computational model to consider kiln drying of a stack of boards. The drying of each board in the stack is simulated using a full version of a heat and mass transfer code (the 1-D version of TransPore), which allows all boards to be different and facilitates consideration of wood variability, in addition to the effect of position within the stack.For simple configurations, the energy consumption predicted by this complex computational tool is in agreement with the global approach. [1] Moreover, this sophisticated model is able to account for the standard deviation of the final moisture content (MC), which allows a compromise to be struck between quality, drying time, and energy consumption. In addition, this model can also be applied to test innovative, energy-saving drying strategies with an equivalent drying quality, i.e. sorting boards of similar properties before drying, or sorting boards at the end of drying to re-dry those boards that have a final MC that is still too high.

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Section: Energy Savings In Conventional Kilnsmentioning

confidence: 99%

Energy Consumption in the Convective Drying of Timber Analyzed by a Multiscale Computational Model

et al. 2012

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“…Perré [8] proposed a multiscale model of coupled heat and mass transfer in porous media. Different formulations were presented to allow two spatial scales to be considered concurrently.…”

Section: Drying Modelsmentioning

confidence: 99%

“…Nevertheless, this formulation presents limitations when large-scale processes are studied, because of product variability and discrete effects such as the absence of local thermal equilibrium, percolation, etc. [8] In recent years, increasing computational power has allowed the application of much more complex and accurate models to analyze drying processes.…”

Section: Drying Modelsmentioning

confidence: 99%

“…The proposed model is simplified and does not consider some of the aspects tackled in the cited papers. [8][9][10][11][12] Transformer solid insulation is mainly composed of cellulose, which is a nonhomogeneous medium formed by a maze of cellulose fibbers and void of inter-and intrafibber spaces. [13,14] Asem and Howe [15] proved that in the particular case of transformer drying processes, heat transfer is much faster than mass transfer and, thus, in order to model the process, heat transfer processes can be neglected considering only mass transfer.…”

Section: Drying Modelsmentioning

confidence: 99%

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Modeling Power Transformer Field Drying Processes

García

Burgos

2011

Drying Technology

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Power transformer field drying is becoming a habitual practice because water is damaging for transformer insulation, and its presence increases the probability of unexpected failures. Different drying methods are currently being used by electrical companies but sometimes without a profound knowledge of the drying processes involved, and consequently drying is not as effective as would be desirable.Physical models have been developed by the authors in order to study power transformer drying processes. The use of the models will help to plan more effective drying processes, tailoring the drying times and drying conditions for each particular case. The models have been tested in a test transformer fitted with sensors. In order to monitor the process, insulation samples were extracted from the transformer before and after the process.In this article, several transformer drying procedures are described. Theoretical models and their experimental validation processes are reported. Finally, some general recommendations about transformer drying in the field are provided.

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“…The most accurate deterministic model to date encompasses multiscale and multiphysics descriptions of drying phenomena for softwoods (Perré 2010). The proposed modelling development for the vacuum drying of hardwood species will take advantage of the existing model TransPore (Perré and Turner 1999a, b) used to predict the drying behaviour of softwoods and drying of other porous media, such as concrete.…”

Section: Introductionmentioning

confidence: 99%

Characterisation of wood–water relationships and transverse anatomy and their relationship to drying degrade

et al. 2016

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Characterisation of a number of key wood properties utilising 'state of the art' tools was achieved for four commercial Australian hardwood species: Corymbia citriodora, Eucalyptus pilularis, Eucalyptus marginata and Eucalyptus obliqua. The wood properties were measured for input into microscopic (cellular level) and macroscopic (board level) vacuum drying models currently under development. Morphological characterisation was completed using a combination of ESEM, optical microscopy and a custom vector-based image analysis software. A clear difference in wood porosity, size, wall thickness and orientation was evident between species. Wood porosity was measured using a combination of fibre and vessel porosity. A highly sensitive microbalance and scanning laser micrometres were used to measure loss of moisture content in conjunction with directional shrinkage on micro-samples of E. obliqua to investigate the validity of measuring collapse-free shrinkage in very thin sections. Collapse-free shrinkage was characterised, and collapse propensity was verified when testing thicker samples. Desorption isotherms were calculated for each species using wood-water relations data generated from shrinkage experiments. Fibre geometry and wood shrinkage anisotropy were used to explain the observed difficulty in drying of the different species in terms of collapse and drying stress-related degrade.

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Multiscale Modeling of Drying as a Powerful Extension of the Macroscopic Approach: Application to Solid Wood and Biomass Processing

Cited by 50 publications

References 24 publications

Energy Consumption in the Convective Drying of Timber Analyzed by a Multiscale Computational Model

Energy Consumption in the Convective Drying of Timber Analyzed by a Multiscale Computational Model

Modeling Power Transformer Field Drying Processes

Characterisation of wood–water relationships and transverse anatomy and their relationship to drying degrade

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