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eversvd,+ETJ+9

KHERIC S., BENOUALI D

2026enbatch crystallizationcooling crystallizationoptimizationtemperature profilepopulation balancepotassium hydrogen tartratecrystallizationcoolingtemperature

Abstract

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Batch crystallization is an important chemical unit operation that has garnered significant research attention focusing on modeling, simulation, optimization, control, and parameter estimation. This study aims to optimize the cooling temperature strategy in a batch crystallizer developed in our laboratory to enhance the yield of potassium hydrogen tartrate, sourced from wine tartar, a byproduct of winemaking. To achieve this, we employed a coupled population material and energy balance model to determine the optimum cooling temperature profile, which directly influences the system's dynamics during batch crystallization. The model was utilized to calculate the optimal cooling temperature profile, applying the method of moments and leveraging solubility data specific to cream of tartar in water. The results indicated a significant improvement in the crystallization process efficiency through the derived temperature strategy, leading to optimized yield while underscoring the critical nature of cooling approaches in crystallization outcomes.

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Cite This Work

@article{588a5be5-3379-4199-bf0e-5222a2b10ba0,
  title={eversvd,+ETJ+9},
  author={KHERIC S. and BENOUALI D},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - eversvd,+ETJ+9
AU  - KHERIC S.
AU  - BENOUALI D
PY  - 2026
LA  - en
ER  -

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