District heating

Stabilize combustion to maximize steam output from waste-to-energy plants

Optimize the energy and environmental performance of your waste-to-energy plant with controlled, stable, and continuously monitored combustion.

Purecontrol ensures optimal furnace operation to maximize steam production and reduce drift.

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Real-time optimized combustion

Our solution precisely adjusts critical combustion parameters:

Real-time control of furnace loading speed
Dynamic optimization of primary and secondary air
Continuous stabilization of key parameters (O₂, temperature, power)

Objective:
Ensuring stable combustion, improving thermal efficiency, and guaranteeing superior flue gas quality.

Hypervision of the combustion process

Our platform reinvents the supervision of UVEs thanks to real-time hypervision and advanced AI-powered analytics that reveal energy performance opportunities.
It anticipates deviations, identifies energy losses, and displays the planned control for the coming hours, enabling more stable and efficient operation.

Prediction of RCU consumption and energy mapping

Combustion stabilization

By optimizing combustion, Purecontrol stabilizes the essential parameters of the incinerator: O₂ content, temperature, feed rate, and primary/secondary air supply. This advanced control limits the typical deviations in waste incinerators associated with fuel heterogeneity and ensures more precise furnace control.
Cette régulation avancée limite les dérives typiques des UVE liées à l’hétérogénéité du combustible et garantit un pilotage du four plus précis.

Better maintenance of O₂ and temperature thresholds

Steam yield optimization

By enabling more complete and consistent combustion, Purecontrol improves the energy performance of the UVE. The furnace's thermal profile becomes more uniform, which stabilizes steam production and improves the quality of the flue gases leaving the furnace.
Le profil thermique du four est plus homogène, ce qui stabilise la production de vapeur et améliore la qualité des fumées en sortie de four.

More uniform combustion despite fuel heterogeneity

Intelligent combustion control

Purecontrol recreates a digital twin of the combustion process based on critical variables: O₂ content, temperature, air flow rates, grate or pusher speed, fuel load, etc. This model makes it possible to anticipate deviations and optimize furnace operation in real time.
Settings are automatically adjusted every minute via local controllers to stabilize combustion and maintain steam output within the optimal range. The result: more stable combustion, fewer alarms, and fewer manual adjustments.
stabiliser combustion UVE vapeur

Maîtrise la vitesse de charge et l’apport en O2 pour améliorer les rendements de combustion.
Stabilisation de la génération de vapeur pour maintenir débit et pression les plus constants possibles. 

From hypervision to control-command

Simplify day-to-day operations with real-time monitoring and control

Digital twin
PureConnect
PureAnalytics Energy
PurePilot
Integration of external factors
Predictive view
Predictive model of the furnace incorporating critical variables (O₂, temperatures, load, air flow rates).
Hypervision platform offering real-time monitoring, customizable graphics, tailored KPIs and alerts for multi-site supervision.
Real-time analysis of furnace power and energy efficiency, without sub-meters. Detection of anomalies and monitoring of performance changes.
Pilotage temps réel des automates : application automatique et sécurisée des consignes optimisées issues du jumeau numérique.
Consideration of external data influencing combustion: weather, possible tariff variations, carbon intensity, or operating constraints.
Projection of combustion parameter trends (O₂, temperature, power) to anticipate requirements and adjust control.
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Optimizing waste-to-energy plants: 3 levers for improving energy and environmental performance

Waste-to-energy plant operators have to juggle sometimes conflicting requirements: ensuring stable combustion despite heterogeneous fuel, meeting the needs of the heating network, while remaining compliant with environmental regulations. All this with limited human resources, facilities already optimized by conventional automation systems, and increasing pressure on operating costs.

Discover three concrete levers for improving their overall performance.

Download the case study