scholarly journals Gray-box Soft Sensor for Water Content Monitoring in Fluidized Bed Granulation

2022 ◽  
Vol 70 (1) ◽  
pp. 74-81
Author(s):  
Keita Yaginuma ◽  
Shuichi Tanabe ◽  
Manabu Kano
Keyword(s):  
Water Content ◽  
Fluidized Bed ◽  
Soft Sensor

scholarly journals Pengaruh variasi kecepatan udara dan massa bahan terhadap waktu pengeringan jagung pada alat fluidized bed

2016 ◽  
Vol 6 (2) ◽  
Author(s):  
S. Syahrul ◽  
R. Romdhani ◽  
Mirmanto Mirmanto
Keyword(s):  
Moisture Content ◽  
Water Content ◽  
Fluidized Bed ◽  
Agricultural Products ◽  
Raw Material ◽  
Air Velocity ◽  
Drying Time ◽  
Post Harvest ◽  
Air Speed ◽  
Maximum Moisture Content

Indonesia is an agricultural country that has many agricultural products so that post-harvest handling is necessary so that the crop is not quickly broken when stored or distributed. One harvests in Indonesia, which require post-harvest handling such as corn. Based on SNI, the maximum moisture content of corn feed raw material has a moisture content of 14%. The water content of the corn used is 20% with a tolerance of ± 0.5%. Variations air speed used is 5 m /s, 6 m /s and 7 m /s with a variation of the mass of material that is 0.5 kg, 1 kg, and 1.5 kg. With the variation of air velocity and mass of the material showed that the higher the speed of the air, the faster drying time. In addition, the heavier material is drained, it will take longer. Variations of air velocity and mass of materials that require the fastest drying time is the air speed of 7 m /s with a mass of 0.5 kg. Variations of air velocity and mass of material that takes the longest drying air is at a speed of 5 m / s with a mass of 1.5 kg of material.

scholarly journals Scale-Free Soft Sensor for Monitoring of Water Content in Fluid Bed Granulation Process

2020 ◽  
Vol 68 (9) ◽  
pp. 855-863
Author(s):  
Keita Yaginuma ◽  
Shuichi Tanabe ◽  
Takuya Miyano ◽  
Hiroshi Nakagawa ◽  
Satoshi Suzuki ◽  
...  
Keyword(s):  
Water Content ◽  
Soft Sensor ◽  
Granulation Process ◽  
Scale Free ◽  
Fluid Bed ◽  
Fluid Bed Granulation

Fluidized Bed Steam Gasification of Solid Biomass - Performance Characteristics of an 8 MWth Combined Heat and Power Plant

2007 ◽  
Vol 5 (1) ◽  
Author(s):  
Tobias Pröll ◽  
Reinhard Rauch ◽  
Christian Aichernig ◽  
Hermann Hofbauer
Keyword(s):  
Power Plant ◽  
Water Content ◽  
Fluidized Bed ◽  
Circulating Fluidized Bed ◽  
Measurement Data ◽  
Combined Heat And Power ◽  
Steam Gasification ◽  
Plant Performance ◽  
Circulation Rate ◽  
Dual Fluidized Bed

The work focuses on a dual fluidized bed gasification technology that is successfully operated for combined heat and power production at a scale of 8 MWth in Guessing/Austria since 2002. The reactor concept consists of a circulating fluidized bed system with a steam-fluidized bubbling bed integrated into the solids return loop. Accompanying the operation of the commercial scale plant, parameter models have been developed and validated by comparison to measured data. As the models naturally fulfill mass and energy balances, the simulation also allows the validation of measurement data. The behaviour of the plant is studied by carrying out variations of selected parameters. Evaluation of different plant operation cases yields correlations between process variables. The solids circulation rate is shown versus riser exit velocity. Fuel water content and gasification temperature significantly influence global plant performance. Simulation predicts the efficiency of the existing power plant in optimized operation. Finally, part load behaviour is investigated and performance maps of the CHP plant are presented. High fuel water content at high gas engine load results in high gas velocities in the riser (erosion limit) and higher heat ratio in the produced energy. It is concluded that CHP-concepts based on fluidized bed steam gasification can reach high electric efficiencies and high overall fuel utilization rates even at small plant capacities of about 10 MWth.

scholarly journals Permeability of the Mixture of Fine Grained Soil and Fly Ash from Fluidized Bed Combustion

2017 ◽  
Vol 17 (2) ◽  
pp. 25-30
Author(s):  
Karolina Knapik ◽  
Joanna Bzówka
Keyword(s):  
Fly Ash ◽  
Water Content ◽  
Fluidized Bed ◽  
Initial Water Content ◽  
Curing Time ◽  
Fluidized Bed Combustion ◽  
Initial Water ◽  
Fine Grained ◽  
Fine Grained Soil ◽  
Fbc Fly Ash

Abstract Based on known correlations permeability was calculated for the mixtures containing various proportions of selected FBC fly ash, Speswhite kaolin and lime. The influence of initial water content of the mixtures was also considered. The study was limited to the first four weeks of curing time. Results of calculations were discussed on the background of previously obtained observations for mixtures of tested materials.

Study on Soft Sensor Modeling and Optimization Control of Biological Fluidized Bed Swage Disposal

2011 ◽  
Vol 128-129 ◽  
pp. 1059-1064
Author(s):  
Xiao Yi Wang ◽  
Meng Liu ◽  
Zai Wen Liu ◽  
Zhen Su ◽  
Xiao Feng Lian ◽  
...  
Keyword(s):  
Neural Network ◽  
Fuzzy Control ◽  
Fluidized Bed ◽  
Treatment Process ◽  
Sewage Treatment ◽  
Control Variable ◽  
Soft Sensor ◽  
Soft Measurement ◽  
Optimization Control ◽  
Fuzzy Control Strategy

To solve the problem that outlet water index Biochemistry Oxygen Demand (BOD) of the Biological Fluidized Bed (BFB) sewage treatment process is difficult to online measure and optimization control of sewage treatment process, Water quality index neural network soft measurement method and the fuzzy control strategy was put forward in this paper. Considering the sewage treatment process exists nonlinear and time-varying characteristic, the effluent water BOD soft sensor model was established employing the process neural network. On the base of this, the optimization control was realized adopting Dissolved Oxygen (DO) for fuzzy control variable Through the soft measurement and fuzzy control model’s simulation training, Shows that the effectiveness and feasibility of these models, an effective soft measurement and optimization control way for BFB sewage treatment have been provided.

scholarly journals Euler-Euler granular flow model of liquid fuels combustion in a fluidized reactor

2015 ◽  
Vol 80 (3) ◽  
pp. 377-389 ◽  
Author(s):  
Stevan Nemoda ◽  
Milica Mladenovic ◽  
Milijana Paprika ◽  
Dragoljub Dakic ◽  
Aleksandar Eric ◽  
...  
Keyword(s):  
Water Content ◽  
Fluidized Bed ◽  
Granular Flow ◽  
Numerical Experiments ◽  
Liquid Fuel ◽  
Solid Phase ◽  
Chemical Species ◽  
Liquid Fuels ◽  
Chemical Components ◽  
The Impact

The paper deals with the numerical simulation of liquid fuel combustion in a fluidized reactor using a two-fluid Eulerian-Eulerian fluidized bed modeling incorporating the kinetic theory of granular flow (KTGF) to gas and solid phase flow prediction. The comprehensive model of the complex processes in fluidized combustion chamber incorporates, besides gas and particular phase velocity fields? prediction, also the energy equations for gas and solid phase and the transport equations of chemical species conservation with the source terms due to the conversion of chemical components. Numerical experiments show that the coefficients in the model of inter-phase interaction drag force have a significant effect, and they have to be adjusted for each regime of fluidization. A series of numerical experiments was performed with combustion of the liquid fuels in fluidized bed (FB), with and without significant water content. The given estimations are related to the unsteady state, and the modeled time period corresponds to flow passing time throw reactor column. The numerical experiments were conducted to examine the impact of the water content in a liquid fuel on global FB combustion kinetics.

Study on the Performance of a Fluidized Air Dehumidifier

Solar Energy ◽  
2005 ◽  
Author(s):  
Ahmed M. Hamed ◽  
Walaa R. Abd El Ramadan ◽  
S. H. El-Eman
Keyword(s):  
Water Content ◽  
Fluidized Bed ◽  
Silica Gel ◽  
Operating Conditions ◽  
Spherical Particles ◽  
Dimensionless Time ◽  
Air Humidity ◽  
Isothermal Adsorption ◽  
Bed Temperature ◽  
Adsorption Desorption

Transient adsorption/desorption characteristics of solid desiccant particles in fluidized bed have been presented. The system operates in batch mode and the atmospheric air with controlled inlet humidity and temperature is dehumidified by the applied desiccant. Also, heated air is used for regeneration purposes. A simplified analytical solution, with isothermal adsorption assumption, is demonstrated. In the experimental study, spherical particles of silica gel about 3 mm in diameter are used as the working desiccant in the fluidized bed. The experimental system is equipped with the necessary control valves to facilitate operation in adsorption and desorption modes, respectively. To control the humidity of inlet air, a humidifier is designed and fitted in a proper location in the system. Also, the system is well instrumented to measure the inlet and outlet air parameters as well as bed temperatures during the operation modes. Transient values of the mass of adsorbed water in the bed, rate of adsorption and water content in silica gel particles are evaluated from the experimental measurements. Also, numerical values of the volumetric mass transfer coefficient are plotted and discussed for different operating conditions. Model output, which shows the dependence of the dimensionless value of water content in the bed [(w*i − w)/(w*i − wo)] on the dimensionless time, is compared with the experimental results. Good agreement is found at the first period of adsorption, when the adsorption is nearly isothermal. Successive increase in bed temperature, due to the heat of adsorption, results in increase in discrepancy between the model and the experimental data. Accordingly, the isothermal model could be applied with reasonable degree of reality for systems with shorter adsorption/desorption cycles. The effect of air inlet humidity on the system operation has been highlighted. The drop in air humidity is highly affected by its inlet value. It is found that, the maximum decrease in air humidity occurs at the beginning of adsorption for the different inlet values. Also, the rate of water vapor adsorption increases with the increase in the inlet humidity.

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