This category covers EnerTherm Engineering’s specialized process modelling services tailored for the food and beverage industry, including bakeries, dairies, snack manufacturers, and meat processors. Content should focus on the application of high-fidelity modelling to improve product consistency, ensure HACCP compliance, and drive energy efficiency. Key technical topics include oven thermal modelling (temperature distribution, burner/conveyor optimization), dryer airflow simulation (spray, fluidised bed, and conveyor systems), product quality prediction using machine learning, and facility-wide energy optimization. Articles should detail the 6-step methodology: data collection (SCADA/IoT/historian), model development (CFD, thermodynamic equations, neural networks), calibration/validation (RMSE/MAPE metrics), simulation/optimization (Pareto analysis), implementation (DCS/PLC/MES integration via OPC-UA), and maintenance (adaptive learning/drift detection). Content should emphasize measurable outcomes such as 20% energy cost reduction, 40% reduction in quality rejects, and 15% throughput increases, as well as the role of modelling in accelerating new product development and reducing trial batches.