Sugar Crystallization Benchmark

Mazaeda, Rogelio; Acebes, Luis Felipe; Sánchez-Rodríguez, Alexander; Engell, Sebastian; Prada, César de

doi:10.1016/b978-0-444-63456-6.50103-4

Cited by 12 publications

(10 citation statements)

References 3 publications

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“…) + 1 · 10 7 · max(0, (s − 1)) 0.8 · cc 0.8 (20) There is an explicit relation between the flux of crystallization (J cris ) used in (16) and the linear growth velocity G, which is shown in (19) and is calculated taking into account the density of sugar crystals and two shape factors relating the characteristic size L with the crystal surface (f s ) and volume (f v ). The nucleation term (B) is calculated by means of (20), by adding the contributions of primary and secondary nucleation.…”

Section: Simulation Modelmentioning

confidence: 99%

“…The accelerating/delaying factors P Fi act as the only decision variables. The h local function represent the model of the given crystallizer, as described, for example, in (11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29). In general, as previously discussed, it is also required to enforce path and terminal constraints (see Equation 10).…”

Section: Sugar Case Study Two-level Coordinated Plantwide Optimizationmentioning

confidence: 99%

“…The simulated case study used is described in the work of Mazaeda et al 19 and the solution adopted extends the previous work reported in conference proceedings. 20,21 This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Hierarchically coordinated economic MPC plantwide control of mixed continuous‐batch units in process industries with application to a beet sugar plant

Mazaeda

Cristea

Prada

2019

Optim Control Appl Methods

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Summary This paper deals with the optimal operation of processes that combine batch and continuous units. The proposed approach is based on a hierarchical architecture with two layers. The lower layer manages the optimal operation of the batch units in a noncentralized fashion, whereas the upper layer is concerned with the scheduling of the batch units and with their smooth integration with the continuous ones. The strategy has been applied to a challenging problem found at the interface of the fed‐batch crystallizers with the upstream evaporation section in beet sugar factories. The presented approach aims at designing a system that can effectively perform the plantwide economic optimization, specifically addressing the issue of energy efficiency, while complying with all process and operational constraints.

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Section: Simulation Modelmentioning

confidence: 99%

Section: Sugar Case Study Two-level Coordinated Plantwide Optimizationmentioning

confidence: 99%

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Hierarchically coordinated economic MPC plantwide control of mixed continuous‐batch units in process industries with application to a beet sugar plant

Mazaeda

Cristea

Prada

2019

Optim Control Appl Methods

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“…However, there is the challenge of intensifying the process of massecuite boiling, in particular, by reducing the boiling time duration, reducing the cost of thermal energy, and reducing the loss of sucrose from thermal decomposition, and thus improving the quality of the finished product (Hernández et al, 2014;Mazaeda et al, 2014;Skoryk et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Influence of crystallizing agent on sugar quality

Tkachenko

Sheiko

Petrenko

et al. 2020

Acta Sci Pol Technol Aliment

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“…Jesus (2004) modeled the multiple effect evaporation and the process of an industrial vacuum pan, comparing the simulation results with real process data. Mazaeda et al (2014) described a model for optimization of a crystallizer in terms of its steam consumption, considering fluctuations of syrup flow rate, concentration, and purity. Shamim et al (2016) also proposed a model for optimization of steam consumption, taking into consideration the preceding step of juice evaporation.…”

Section: Introductionmentioning

confidence: 99%

Sucrose Crystallization: Modeling and Evaluation of Production Responses to Typical Process Fluctuations

Castro

Marciniuk

Giulietti

et al. 2019

Braz. J. Chem. Eng.

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This work describes a phenomenological model of the two-massecuite system for sucrose crystallization, developed using EMSO software. In most Brazilian sugarcane industries, sucrose crystallization is performed using this system. This process is considered to be a fundamental step in obtaining sugar of the desired quality and accounts for a substantial fraction of the production costs. The simulation results -crystal percentage in massecuite, brix and purity of molasses, magma purity, sugar pol, crystal size distribution -were validated by comparing them with real process data of an industrial plant. The interest of the phenomenological model to study the possible impacts of impurities and process instability was illustrated by varying the simulation inputs related with the syrup purity, syrup brix and steam conditions.

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Sugar Crystallization Benchmark

Cited by 12 publications

References 3 publications

Hierarchically coordinated economic MPC plantwide control of mixed continuous‐batch units in process industries with application to a beet sugar plant

Hierarchically coordinated economic MPC plantwide control of mixed continuous‐batch units in process industries with application to a beet sugar plant

Influence of crystallizing agent on sugar quality

Sucrose Crystallization: Modeling and Evaluation of Production Responses to Typical Process Fluctuations

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