Economic optimization of CHP plant work plan in 24 .. 72h horizon and longer, and production execution optimization considering:
Heat and electricity demand forecasts
Production equipment models
Electricity price forecast
Energy storage (electrical and heat)
Fuel costs, emissions, certificates of origin
RES
Equipment availability
Capacity Market requirements
Digital models of equipment and process (Digital Twins) – for optimization, simulation, process diagnostics and operator training
Optimal process control (APC) using multidimensional supervisory controller
Electricity demand management, management of multiple heat and electricity sources
Monitoring and analysis of production KPIs, including:
Acquisition and processing of current and historical measurement data
Validation of measurement data (simple formulas or advanced calculations, as appropriate), faulty data is automatically replaced with substitute values when necessary
Analysis and reliable reporting of production data, including production indicators – one version of truth available in real time
Plant energy balance
Energy media monitoring
Reporting for internal and external entities
Approval matrix for selected reports
Boiler and turbine efficiency calculations
Supplementing analyzed measurement values with context in the form of production staff notes. Means and objectives:
Shift logs / brigades, production masters, maintenance personnel logs associated with measurement data
Building plant operational knowledge base
Supplementing notes with measurement data illustrating the situation
Extraction of key information using AI
Production information aggregation – decision material collection
Action effectiveness analysis
Proper interpretation of measurement data, also for diagnostic purposes
