Investigating the impact of operating variables in crystallization is essential for process optimization and cost reduction. This study examines the effect of agitation speed on the crystallization of L-asparagine monohydrate (LAM) in a cooling-antisolvent batch crystallizer through experimental analysis and Population Balance Equation (PBE) modeling. The results indicate that increasing agitation speed enhances both nucleation and crystal growth rates. This study highlights the role of hydrodynamic factors, especially agitation speed, in the crystallization process, offering insights into potential process improvements such as minimizing agitation power and reducing operation time.

Associated members: Chaeeun Yu

Hydrogen and ammonia blending combustion technology is an advanced combustion technique applied in gas turbine combined cycles by mixing hydrogen and ammonia with LNG. In our laboratory, we have developed a proprietary modeling library based on gPROMS software, which we use to design and simulate hydrogen and ammonia co-firing in the gas turbine combined cycle. Through the powerful numerical analysis procedures of gPROMS, we can accurately predict hydrogen and ammonia co-firing in high-temperature and large-scale facilities. This enables us to identify the potential advantages and possible issues of hydrogen and ammonia co-firing in advance, testing various scenarios and finding optimal operating conditions. Furthermore, the maximum likelihood estimation-based MINLP solver in gPROMS allows for the exploration of numerically optimal operating conditions to achieve desired power generation or efficiency.

Associated members: Wansik Yu, Chaeeun Yu