Yuon Optimizer – AI for Smart Thermal Networks

Yuon Optimizer – AI for Smart Thermal Networks yra paremtas Yuon Control

Centralizuoto šilumos ir vėsinimo tinklų operatoriai susiduria su didėjančiomis energijos sąnaudomis, CO₂ mažinimo tikslais, ribotais tinklo pajėgumais ir neefektyviomis senosiomis valdymo sistemomis. Rankinis valdymas ir statinio valdymo strategijos lemia dideles didžiausias apkrovas, išvengiamus energijos nuostolius ir nepakankamai panaudotą infrastruktūrą.<br/> Yuon Control AG” sprendžia šiuos iššūkius naudodama AI pagrįstą programinės įrangos platformą, kuri leidžia realiuoju laiku, duomenimis pagrįstą šiluminių tinklų optimizavimą. Naudodamas skaitmeninius dvynius ir modelio nuspėjamąjį valdymą, “Yuon” automatizuoja tinklo veikimą, sumažina pikines apkrovas ir emisijas bei pagerina efektyvumą, nereikalaujant papildomos aparatūros. Sprendimas sklandžiai integruojamas į esamas valdymo aplinkas ir palaiko keičiamo dydžio, ateičiai atsparias energijos sistemas.

Atraskite Yuon Control

Kodėl Optimization of district heating and cooling networks.?

District heating networks often face inefficiencies, high energy losses, and costly peak loads. Yuon Optimizer uses AI and Model Predictive Control to balance production, distribution, and consumption automatically. It serves utilities and energy providers aiming to lower costs, emissions, and operational complexity.

Thermal load before and after optimization

Privalumai

Reduce operating costs through optimized boiler control, active load management, and better use of existing storage capacity. Intelligent network operation minimizes losses and improves energy utilization.
Optimization unlocks additional sellable heat by reducing energy losses, peak loads, and outages. Utilities gain higher throughput and better asset performance with the same infrastructure.
Automated monitoring and alerting ensure full system transparency with minimal resources. Early detection of anomalies enables continuous improvement and stable operation.
Optimized operation reduces fossil fuel use and CO₂ emissions, making thermal networks more climate-friendly. Yuon Optimizer directly supports climate goals and environmental protection.

Pagrindinės Funkcijos

Model Predictive Control (MPC)

Anticipates thermal demand based on weather forecasts, building dynamics, and consumption patterns to optimize production and distribution in real time.

Digital Twin Simulation

Creates a digital twin model of the entire network to continuously simulate and optimize system performance, reducing peak loads and improving energy efficiency.

Dashboard with temperature graphs over time

AI-Powered Automation & Integration

Automatically manages and optimizes thermal networks using advanced machine learning and predictive control. The software integrates seamlessly into existing infrastructure, enabling automated operation, adaptive control, and continuous performance improvement.

Scalability & Easy Deployment

Yuon Optimizer is a software-only solution that can be quickly implemented without hardware changes. Its modular design allows utilities to scale from single networks to large multi-site operations efficiently.

Case Study

Urban buildings on a smart heating network

Use Case Smart District Heating in Zürich

Joint project by Yuon, Energie 360° and Hoval demonstrating 33% peak load reduction, 25% capacity savings, and energy savings in Zurich’s urban heating network through AI-driven predictive control.

Use Case Energie360_Hoval_Yuon Control

Praktinis Pritaikymas

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Urban heating network use case in Zurich

Peak Load Reduction Energie 360° Zurich

Yuon Optimizer enabled real-time load management in an urban heating network. The pilot cut peak loads by 33% and reduced connected capacity by 25%, all with seamless integration and no comfort loss, demonstrating scalable impact for city utilities.