Operating costs of any EO/EG plant are driven by raw material efficiency which requires continuous optimization of EO reactor performance. The complexity of the EO reactor system cannot be adequately modeled by commercially available advanced process control (APC) software packages. A high degree of customization is necessary for optimization.
SD’s SciDigital RxTwin®, a hybrid model combining EO reactor kinetics and metaheuristic-based optimization, supports plant operators to maintain optimum catalyst performance throughout the EO catalyst lifecycle. The algorithm reviews current operating trends, predicts performance under actual conditions, and provides actionable recommendations to fine tune operating conditions which maximize catalyst performance within specific process constraints. The model drives raw material cost reduction and maximizes catalyst operating life.
