Energy Saving in Industrial Wood Drying Addressed by a Multiscale Computational Model: Board,Stack, and Kiln

This article proposes a multiscale computational model able to calculate energy consumption in a batch lumber kiln. A dual-scale computational model of wood drying deals with the boards/stack interaction and serves as a basis for the present work. A new module was added here that calculates heat losses through kiln walls (convection, condensation) and the energy used by each kiln component (fans, heating elements, humidifier, vacuum pump, etc.). The corresponding mathematical formulation is presented and then theoretical results are compared to those collected in an industrial vacuum kiln. As application example, the effect of air reversal, air velocity, and kiln insulation are exhibited, which depicts the great potential and prospects of this new tool for energy savings in relation to the product quality.     

A Dual-Scale Computational Model of Kiln Wood Drying Including Single Board and Stack Level Simulation

This article proposes a dual-scale computational model of wood drying in a batch lumber kiln. The stack may consist of a large number of boards (typically 100) arranged in layers. Each single board of the stack is simulated using one module of TransPore, a comprehensive computational model for heat and mass transfer in porous media. Timber variability is taken into account by a Monte-Carlo method. Such a dual-scale model allows the drying simulation of a 100-board stack to be completed in less than 30 s on a PC with a 2.8-GHz Xeon processor. Sample simulations are presented to depict the great potential and prospects of this new tool.     

A Dual-Scale Computational Model of Kiln Wood Drying Including Single Board and Stack Level Simulation

This article proposes a dual-scale computational model of wood drying in a batch lumber kiln. The stack may consist of a large number of boards (typically 100) arranged in layers. Each single board of the stack is simulated using one module of TransPore, a comprehensive computational model for heat and mass transfer in porous media. Timber variability is taken into account by a Monte-Carlo method. Such a dual-scale model allows the drying simulation of a 100-board stack to be completed in less than 30 s on a PC with a 2.8-GHz Xeon processor. Sample simulations are presented to depict the great potential and prospects of this new tool.     

Optimization of Kiln Drying for Softwood through Simulation of Wood Stack Drying, Energy Use, and Wood Color Change

An integrated modeling system was developed to simulate the drying processing, energy use, and wood color change in kiln drying of softwood timber. The model has been applied for a temperature range from 50 to 70°C and an airspeed from 3 to 9 m/s. The model is based on theoretical analysis and contains components such as kiln configuration and practical operations. From the model simulation, optimized drying schedules for minimizing color change and energy use are recommended with dry bulb temperature of 60 to 70°C and wet bulb depression of 15 to 20°C.     

Optimization of Kiln Drying for Softwood through Simulation of Wood Stack Drying,Energy Use,and Wood Color Change

An integrated modeling system was developed to simulate the drying processing, energy use, and wood color change in kiln drying of softwood timber. The model has been applied for a temperature range from 50 to 70°C and an airspeed from 3 to 9 m/s. The model is based on theoretical analysis and contains components such as kiln configuration and practical operations. From the model simulation, optimized drying schedules for minimizing color change and energy use are recommended with dry bulb temperature of 60 to 70°C and wet bulb depression of 15 to 20°C.     

Simulation of Drying Using a Kiln Model

A mathematical model was developed for simulating a convective batch lumber drying process. The model incorporates mass and heat transfer relationships within the lumber stack, as well as thermodynamic properties of the wood and drying air. It takes into account the change of air properties along the stack and its effect on the mass and heat transfer parameters. The model relies on a drying rate function that is an empirical correlation based on single-board tests. A drying rate function for western hemlock (Tsuga heterophylla) lumber was developed. The drying rate function was obtained based on experiment results from 500 small boards dried over a range of conditions used in commercial practice. The model was first validated against data available in the literature and then against large batches of hemlock dried in a laboratory kiln. In both cases, the model output was in good agreement with the average moisture content, the drying rates, and the temperatures measured in the larger batches.     

Energy Consumption in Industrial Drying of Radiata Pine

This article reports the results of an exploratory study designed to reduce heat and electricity consumption in industrial drying of radiata pine. The experiments were performed with slight modifications of the standard drying schedules used by the sawmill to dry radiata pine in 100-m³ industrial kilns. The heat and electricity consumption were determined with data collected during the drying runs and calculations based on mathematical models. The results showed that depending on the case, heat and power consumption were respectively reduced by up to 14 and 35%.     

Microwave-Vacuum Drying of Wood: Model Formulation and Verification

Based on the mechanism of moisture and heat transfer in wood during microwave-vacuum drying (MVD), a one-dimensional mathematical model to describe the process of wood MVD was established and verified by experiments in this research. The results showed that the process of MVD of wood experienced three distinct periods: (1) accelerating rate with rapid warming-up drying period, (2) a constant temperature and constant rate drying period, and (3) a heating-up with falling rate drying period. Compared with conventional hot air drying, the total drying process is almost governed by a constant rate period in vacuum-microwave drying of wood. The predicted temperature and moisture content in wood match well with the experimental data, the square of the relevant coefficient of the values of simulation and test is above 0.9, and the simulation precision of the change rule of the moisture is higher than that of the temperature.     

Review of Wood Drying Research in Brazil: 1984-2004

In Brazil, research on wood drying has been more focused on applied aspects than on fundamentals ones, and results have been published almost exclusively in Brazilian journals. The study of lumber deformation under aggressive drying conditions resulted in methods to group species and to define kiln schedules. Relationship between moisture content and electrical resistivity was used to improve quality control of dried lumber as well automatic control of the kiln drying process. Conventional kiln drying is the most common method for industrial drying, but seasoning and solar drying were also studied. The biggest research effort was directed to improve the drying of eucalypt lumber.     

Hybrid Drying of Red Bell Pepper: Energy and Quality Issues

The research presented in this article is aimed at elaboration of possibly best drying technology for the red bell pepper (Capsicum annuum L. var. annuum) with the use of convective (CV), microwave (MW), and infrared (IR) heat sources applied separately and in different combinations. Six drying schedules were arranged and tested experimentally to find the best drying kinetics, at which the best quality of the products is attained by minimum energy consumption. Quality was judged through colorimetric measurements with the use of Konica Minolta CR400 colorimeter, and through sensory assessment. The energy consumption was measured with the use of electrical network analyzer MPR53 s (Entes). As expected, the purely convective drying was proved to be a long-lasting and a high-energy-consuming process as well as negatively affecting the quality of dried products. A combination of several drying technologies positively influenced both the time of drying and the product quality as well as the energy consumption.     

Variation in Drying Behavior and Final Moisture Content of Wood during Conventional Low Temperature Drying and Vacuum Drying of Betula pendula Timber

Conventional and vacuum drying experiments were conducted on Betula pendula timber, which was sawn from trees felled during three different seasons. The influence of the wood procurement season on drying behavior differed, on the one hand, between the drying phases above and below 30% moisture content in the conventional drying, and, on the other hand, between the conventional and vacuum drying methods. During the first steps of the conventional drying process, relative humidity in the kiln, as well as drying time and drying rate, varied according to the felling season. Variations in environmental conditions outside the kiln and the seasonal variation in the physical properties of the wood were presumed to be the reasons for differences in drying behavior. The difference in moisture content gradient, i.e., the difference in final moisture content between the inner wood and the surface layer of boards, was greater in conventionally dried timber than in vacuum-dried timber. In conventionally dried timber there was a clear seasonal variation in the gradient of final moisture content, which was greatest for winter-felled wood. The premature drying of the surface layer during the first steps of the conventional drying process of winter-felled wood was the reason for the higher gradient of moisture content. Storage of wood as logs decreased the standard deviation of the final moisture content.     

Variation in Drying Behavior and Final Moisture Content of Wood during Conventional Low Temperature Drying and Vacuum Drying of Betula pendula Timber

Conventional and vacuum drying experiments were conducted on Betula pendula timber, which was sawn from trees felled during three different seasons. The influence of the wood procurement season on drying behavior differed, on the one hand, between the drying phases above and below 30% moisture content in the conventional drying, and, on the other hand, between the conventional and vacuum drying methods. During the first steps of the conventional drying process, relative humidity in the kiln, as well as drying time and drying rate, varied according to the felling season. Variations in environmental conditions outside the kiln and the seasonal variation in the physical properties of the wood were presumed to be the reasons for differences in drying behavior. The difference in moisture content gradient, i.e., the difference in final moisture content between the inner wood and the surface layer of boards, was greater in conventionally dried timber than in vacuum-dried timber. In conventionally dried timber there was a clear seasonal variation in the gradient of final moisture content, which was greatest for winter-felled wood. The premature drying of the surface layer during the first steps of the conventional drying process of winter-felled wood was the reason for the higher gradient of moisture content. Storage of wood as logs decreased the standard deviation of the final moisture content.     

Energy consumption and quality aspect by intermittent drying

The aim of this paper is to examine the effectiveness of intermittent drying with respect to drying time, energy consumption, and quality of dried samples. By intermittent drying is meant here the convective drying with periodically changing both the temperature and the humidity of drying air. The cylindrically shaped kaolin samples were used for tests in these studies. The acoustic emission (AE) method was applied to monitor on line the development of material fracture for the purpose of detection of the material crack commencement, and thus to establish the moment at which the changes of drying conditions should be initiated. The kinetics of drying, the consumption of energy, and the quality of the dried samples were examined. It was shown that drying at intermittent conditions leads to products of much better quality than drying at stationary conditions by almost the same duration of these processes. The energy consumption was smaller by intermittent drying realized with variable air temperature and greater by variable air humidity in comparison to drying at stationary conditions.     

浅谈干燥设备系统的节能减排

解释节能减排方面的GDP能耗、能源效率、合同能源管理以及CDM等常用名词术语,介绍了换热器冷凝水回收,热风炉高效燃烧和热泵等节能措施与途径。     

A Simulation Tool for the Optimization of Lumber Drying Schedules

Abstract

A two-dimensional wood drying model based on the water potential concept is used to simulate the convection batch drying of lumber at conventional temperature. The model computes the average drying curve, the internal temperature and moisture content profiles, and the maximum effective moisture content gradient through board thickness. Various scenarios of conventional kiln-drying schedules are tested and their effects on drying time, maximum effective moisture content gradient, final moisture content distribution within and between boards, and energy consumption are analyzed. Simulations are performed for two softwood species, black spruce (Picea mariana (Mill.) B.S.P.) and balsam fir (Abies balsamea (L.) Mill.). The simulation results indicate that the predictive model can be a very useful tool to optimize kiln schedules in terms of drying time, energy consumption, and wood quality. Such a model could be readily combined with intelligent adaptive kiln controllers for on-line optimization of the drying schedules.     

A Simulation Tool for the Optimization of Lumber Drying Schedules

A two-dimensional wood drying model based on the water potential concept is used to simulate the convection batch drying of lumber at conventional temperature. The model computes the average drying curve, the internal temperature and moisture content profiles, and the maximum effective moisture content gradient through board thickness. Various scenarios of conventional kiln-drying schedules are tested and their effects on drying time, maximum effective moisture content gradient, final moisture content distribution within and between boards, and energy consumption are analyzed. Simulations are performed for two softwood species, black spruce (Picea mariana (Mill.) B.S.P.) and balsam fir (Abies balsamea (L.) Mill.). The simulation results indicate that the predictive model can be a very useful tool to optimize kiln schedules in terms of drying time, energy consumption, and wood quality. Such a model could be readily combined with intelligent adaptive kiln controllers for on-line optimization of the drying schedules.     

Heat and Mass Transfer Mechanisms in Drying of a Suspension Droplet: A New Computational Model

A new computational single-droplet drying model is presented. The model considers heat and mass transfer simultaneously together with the receding evaporation front approach. A spherical droplet under constant drying conditions is considered. Computations are performed to predict the drying of colloidal silica-water suspension and skimmed milk. It is shown that the results agree well with those of experimental observations available in the literature.     

Heat and Mass Transfer Mechanisms in Drying of a Suspension Droplet: A New Computational Model

A new computational single-droplet drying model is presented. The model considers heat and mass transfer simultaneously together with the receding evaporation front approach. A spherical droplet under constant drying conditions is considered. Computations are performed to predict the drying of colloidal silica-water suspension and skimmed milk. It is shown that the results agree well with those of experimental observations available in the literature.     

Optimization of Radiant-Convective Drying of a Porous Medium by Design of Experiment Methodology

The major aim of this study was to improve tools to optimize the thermal drying of a porous medium. This article was devoted to the study of the radiant-convective drying of a material (cellular concrete) while respecting some thermal constraints. A numerical program had been previously developed and experimentally validated to model the thermal and hygroscopic behavior of the product. Design of experiments methodology (DOE) was used to obtain a behavioral reduced model that allows the operating optimums to be calculated quickly. Three characteristics of a drying operation were analyzed using response surface methodology: the drying time, the total energy used in the process, and the specific moisture extraction rate. The effects of all the drying parameters (initial moisture content, infrared power, air temperature, velocity, and humidity) were studied. The optimal conditions were determined for convective and infrared-convective drying.