White Papers & Research
White Papers & Research
White Papers & Research
White Papers & Research
Real-Time Optimization of Beet Extraction with MPC, NIRS, and VSS on a Universal IoT Platform
Real-Time Optimization of Beet Extraction with MPC, NIRS, and VSS on a Universal IoT Platform
An in-depth examination of how Model Predictive Control (MPC) algorithms utilize real-time process data to minimize cost functions in beet extraction. This paper details the integration of NIRS and visual sensors to achieve a verified savings potential of €0.2–0.4 per ton through dynamic setpoint optimization.
An in-depth examination of how Model Predictive Control (MPC) algorithms utilize real-time process data to minimize cost functions in beet extraction. This paper details the integration of NIRS and visual sensors to achieve a verified savings potential of €0.2–0.4 per ton through dynamic setpoint optimization.
The Use of NIR Technology in Beet Sugar Processing for Real-Time Monitoring of Key Quality Parameters
The Use of NIR Technology in Beet Sugar Processing for Real-Time Monitoring of Key Quality Parameters
A technical study validating the efficacy of Near-Infrared Spectroscopy (NIRS) for quantifying polarimetric and HPLC sucrose in liquid intermediates. Results demonstrate high correlation with reference methods (R² > 0.99), supporting the transition from offline laboratory analysis to continuous, closed-loop process control.
A technical study validating the efficacy of Near-Infrared Spectroscopy (NIRS) for quantifying polarimetric and HPLC sucrose in liquid intermediates. Results demonstrate high correlation with reference methods (R² > 0.99), supporting the transition from offline laboratory analysis to continuous, closed-loop process control.
Sucrosphere Crystallisation Scheduler: A Model Predictive Control Solution
Sucrosphere Crystallisation Scheduler: A Model Predictive Control Solution
Discover how KPI-driven crystalliser scheduling and model predictive control (MPC) transform batch crystallisation from reactive operation into predictable, high-throughput production. Benchmark results for a 10,000 t/d factory show +0.2–0.5% sugar throughput, up to 10% fewer crystallisation stops and 2.5–5% lower sugar house energy demand — translating to 200,000–450,000 € per campaign.
Discover how KPI-driven crystalliser scheduling and model predictive control (MPC) transform batch crystallisation from reactive operation into predictable, high-throughput production. Benchmark results for a 10,000 t/d factory show +0.2–0.5% sugar throughput, up to 10% fewer crystallisation stops and 2.5–5% lower sugar house energy demand — translating to 200,000–450,000 € per campaign.
