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.
Sucrosphere Smart Crystallisation: Unlocking Yield, Stability and the Path to Autonomous Operation
Sucrosphere Smart Crystallisation: Unlocking Yield, Stability and the Path to Autonomous Operation
How do leading beet sugar factories stabilise crystallisation while reducing energy demand and operator dependency? This paper details the integration of visual crystal monitoring, inline NIR measurement and closed-loop Seed Feed Control into a single platform, with benchmark results showing measurable improvements in exhaustion, product quality and campaign consistency.
How do leading beet sugar factories stabilise crystallisation while reducing energy demand and operator dependency? This paper details the integration of visual crystal monitoring, inline NIR measurement and closed-loop Seed Feed Control into a single platform, with benchmark results showing measurable improvements in exhaustion, product quality and campaign consistency.
