Automatic System Distillation for Wine Fruit

Quezada, Simon Diaz; Correa, Jose Ricardo Perez; Fernández, Mario

doi:10.1109/tla.2015.7164212

Cited by 7 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1): i) two AC phase controllers using TRIAC for the variable electric power on the immersion heaters (0-2000 W) in the reboiler; ii) a variable flow cooling water peristaltic pump (0-300 mL/min) for the partial condenser; iii) eight PT-100 temperature sensors distributed in the distiller; iv) a density sensor (Anton-Paar, L-Dens 2300) to measure the ethanol concentration in the distillate; v) two flowmeters, one for the distillate, and the other for the partial condenser cooling water. Further instrumentation details of this still are given in [30].…”

Section: A the Batch Distillation Columnmentioning

confidence: 99%

“…In our case, the set of nonlinear equations given by Dalton's Law, Raoult's Law, and NTRL activity coefficients (29)(30)(31)(32)(33) was pre-solved using the fsolve solver in MATLAB for a set of temperature values. This temperature set was given by a linearly spaced vector of 100 elements delimited by the ethanol and water saturation temperatures at 101.325 kPa (352-373 K).…”

Section: 1) Explicit Water-ethanol Vlementioning

confidence: 99%

“…The sample time was 10 s, and the process variables were recorded in LabView using National Instruments input/output modules, following the setup details of our previous work [30]. In addition, the recorded data was smoothed with a first-order filter with a time constant of 5 s, which was enough to reduce the sensor noises without extensive impact on the dynamic response of 𝐹 𝑤 and 𝑇 𝑤,𝑖𝑛 .…”

Section: A Experimental Distillation Data Setmentioning

confidence: 99%

“…The additional complexity of modeling packed column stills, among other spirits batch processes, is that partial differential equations (PDE) are required to describe the column dynamics fully. Previous modeling efforts could not adequately reproduce the experimentally observed dynamics, and simulations were slow [21], [30], [33]. The thermal inertia of the column wall and heat losses were not considered in these models, and the chosen strategy for numerically solving the PDE system was computationally demanding.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling and Simulation of a Packed Column Batch Still for Fruit Wine Distillations

2022

View full text Add to dashboard Cite

Batch distillations are extensively used worldwide to produce fruit wine spirits with distinctive aromas. These processes are typically operated manually, based on the experience of the distiller. However, dynamic optimization and automatic control strategies could be valuable for ensuring a more consistent product and quickly adapting to new market tendencies. Consequently, reliable process models are required for the application of these methods. The novelty of this study is developing a highly efficient method to reliably simulate and calibrate a rigorous first-principles model of a packed batch column still. We applied the method of lines (MOL) to transform the partial differential equations describing the packed column dynamics into an ordinary differential equation (ODE) system. The nonlinear phase equilibrium equations were pre-solved, and several polynomials were fitted to get explicit algebraic equations. The final differentialalgebraic system (DAE) comprises 31 ODEs, 113 explicit algebraic equations, and two implicit algebraic equations. Variables scaling, smoothing of discontinuities, and applying an algebraic loop within Simulink to solve the implicit algebraic equations resulted in 600 times faster simulations than a naïve approach. The model was regressed using pilot-scale experimental data and subjected to extensive validation using independent data. Sensitivity and residual analysis established that a better heat loss model could improve ethanol concentration prediction. This new heat losses model reduced the average ethanol concentration error by more than five times. The developed model can be applied to design reliable control systems and optimal operating strategies for packed column batch distillations.INDEX TERMS Differential algebraic systems, model calibration, algebraic loops, first-principles models.

show abstract

Section: A the Batch Distillation Columnmentioning

confidence: 99%

Section: 1) Explicit Water-ethanol Vlementioning

confidence: 99%

Section: A Experimental Distillation Data Setmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Modeling and Simulation of a Packed Column Batch Still for Fruit Wine Distillations

2022

View full text Add to dashboard Cite

show abstract

“…For instance, there are some studies using LabVIEW in the fields such as education [1][2][3][4], health [5,6], food and beverage control [7,8], astronomy [9] and image processing [8,10] In addition, studies using more than one sensor [11,12], real-time systems [5,13], studies on nuclear power plants [14], test/measurement device design that requires high precision [15][16][17], non-contact motion detection systems [18] and electromagnetic imaging [19] are other applications of LabVIEW.…”

Section: Introductionmentioning

confidence: 99%

A simulation object with LabVIEW: simultimeter (simulated multimeter)

Çoramık¹

2020

Phys. Educ.

View full text Add to dashboard Cite

Teaching materials used in distance education are generally obtained from the internet as ready-made by teachers. Materials such as simulation, animation and presentation are usually limited to the frame drawn by the creator and do not allow changes outside this limit. In addition, many of these types of materials do not have a feedback mechanism. The multimeter is one of the basic tools used in all courses such as physics laboratory, electronics laboratory, electrical laboratory and even chemistry laboratory, which are practiced in the fields of science and engineering. Students make many mistakes while using the multimeter. For this purpose, in this study, it is aimed to design a digital multimeter used in the laboratories of the basic courses at high school and university level as a simulation object. This simulation program is called SiMultimeter (simulated multimeter). The other aims of the study are that the simulation gives feedback to the users and that it can be installed on the computer with .exe extension without the need for internet connection.

show abstract