Yuon Optimizer – AI for Smart Thermal Networks

Yuon Optimizer – AI for Smart Thermal Networks toiteallikaks on Yuon Control

Kaugkütte- ja jahutusvõrkude operaatorid seisavad silmitsi kasvavate energiakulude, CO₂ vähendamise eesmärkide, piiratud võrgu võimsuse ja ebatõhusate pärandjuhtimissüsteemidega. Käsitsi kasutamine ja staatilised juhtimisstrateegiad põhjustavad suuri tippkoormusi, välditavaid energiakadu ja vähe kasutatavat infrastruktuuri.<br/> Yuon Control AG tegeleb nende väljakutsetega tehisintellekti põhise tarkvaraplatvormiga, mis võimaldab soojusvõrkude reaalajas andmepõhist optimeerimist. Kasutades digitaalseid kaksikuid ja mudeli ennustavat juhtimist, automatiseerib Yuon võrgu tööd, vähendab tippkoormusi ja heitkoguseid ning parandab tõhusust ilma täiendavat riistvara nõudmata. Lahendus integreerub sujuvalt olemasolevatesse juhtimiskeskkondadesse ja toetab skaleeritavaid, tulevikukindlaid energiasüsteeme.

Avasta Yuon Control

Miks 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

Eelised

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.

Soovitatavad Võimalused

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

Reaalse Maailma Rakendused

Select...

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.