HOW ALGENO WORKS
Algeno is a hardware-independent solution that optimizes the heat supply of properties by combining the building's own data with external forecasts. The result is a more stable indoor climate throughout the property portfolio, regardless of size.
Real estate heating systems have traditionally responded in retrospect. This means that the heat increases only when it has already become cold, or decreases only when it has already become warm. The result is unnecessarily large temperature variances, complaints from tenants and residents, and higher energy consumption.
Algeno is based on a data-driven model of the property's thermal properties with weather forecasts, combined with predictive control that plans the heat supply 48 hours ahead in time. By combining a unique model of each property with high-resolution weather forecasts, the heating is adjusted before the indoor climate has time to be affected.
Real-time data is collected for all connected properties and is used for model adaptation, learning, monitoring and follow-up. All communication takes place via the property owner's own API, which gives the property owner their own disposal and full control. Individual sensor values in the property as well as external data such as weather forecasts, energy prices and other external factors are collected at regular intervals.
Data-driven models based on AI are adapted to each individual heating system to describe the properties and behaviors of the building. All models are fully data-driven and automated and require no information regarding the material or structure of the buildings. The AI models are used both for control of heating systems but also for monitoring, reporting and anomaly detection.
The optimization of heat management is based on Model-based Prediction Control (MPC). The AI models act as digital twins to predict property behaviors and control heating systems based on specified conditions and goals. It takes weather changes, predicted behaviour and other external factors into account.
The entire process — from model building to day-to-day control — is automated. Data is retrieved from the property's existing systems via API, and control takes place without the operations staff having to make manual settings for each property. It makes it possible to manage large real estate stocks in a scalable manner while maintaining precision in the control.
Algeno is a cloud-based service that integrates via API against BMS and SCADA systems. No new hardware, no locally installed servers and no replacement of existing control systems required. The open communication infrastructure where the property owner delivers and receives data from Algeno through an API makes scaling up the service to more properties smooth and easy to implement. There are no specific hardware requirements for the subcenters and you can use optional suppliers for your control systems.
Operations personnel maintain full visibility into what the system is doing through the web application. Manual override is always possible, and you maintain full control over the property.
Should communication against the cloud service be disrupted, the property's existing control system automatically reverts to its default local settings (DUC/PLC logic). Control resumes automatically when the connection is restored.
All data is owned by the property owner and is available through Algeno's REST API. We use your data to drive and improve the maintenance of your properties — not for anything else.
All that is required is a stable internet connection; bandwidth requirements are minimal as we only send optimized measurement data.
A digital twin and predictive control create a stable indoor climate at the lowest possible heating cost.
All properties are different. Our AI creates a unique, data-driven model for each item.
Construction, insulation, windows, and usage patterns affect a building's thermal inertia. Algenos AI automatically creates a unique mathematical model for each connected property, based on measured data from existing sensors describing how the building responds to:
The result: The steering is adapted to the unique characteristics of your building. The model is continuously updated and does not require manual calibration.
Heating is planned in advance -- not as a reaction to conditions that already prevail.
Each property model is combined with weather forecasts for the next 48 hours. Algeno's algorithm continuously calculates an optimal control plan: how much heat to supply, when and at what rate. The system acts proactively and ensures that the heat adapts before you as a property owner or your residents notice a change in temperature.
The result: A more stable indoor climate with fewer oscillations and a lower average energy consumption, without compromising comfort.
The control plan optimizes not only energy consumption, but also cost.
The governance takes into account several cost drivers in parallel:
The system is actively working to smooth power peaks, which is a major source of cost reductions in networks with power-based charges. This means that you get the desired indoor climate lowest possible heating cost.
Algeno is a cloud-based service that integrates with API to BMS and SCADA systems. No new hardware, no locally installed servers and no changes to exisisting control systems needed.
The open communication infrastructure, in which the property owner sends and receives data from Algeno via an API, makes it easy and straightforward to scale the service to more properties. There are no specific hardware requirements for the sub-centers, and you can use any vendor for your control systems.
Contact us for a no-obligation review of your technical environment, and we’ll explore how best to integrate Algeno with your specific systems.
A platform for monitoring, analysis and optimization.
Algeno Monitor
Analyze energy performance, identify discrepancies, and follow up on results.
Algeno Analyze
Analyze energy performance, identify deviations and follow up on results.
Algeno Heating Control
AI-optimized real-time control of heating systems.
Algeno Peak Power
Reduce power spikes and lower your energy costs.
Algeno is designed for property owners who want to reduce energy costs and their environmental impact without replacing existing systems. Get in touch, and we’ll discuss how it would work for your portfolio—based on your technical requirements.
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To use our service, you need to have indoor sensors installed in the building. These sensors are used to collect temperature data, which forms the basis for our control and optimization systems.
Energy savings vary from property to property and depend, among other things, on the energy efficiency measures that have already been implemented. On average, you can expect savings of about 5–10% across a property portfolio.
Yes. Our technology is built to easily scale up and manage large real estate portfolios.
The time it takes to get started depends on the systems you currently have in place. In some cases, customers have been up and running as early as one day after signing the contract, but typically the setup process takes about 1–2 weeks.
Multi-family housing, offices, community properties and premises.
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Algeno is an AI-powered service for heating optimization and energy efficiency of buildings that delivers a stable indoor climate and lower heating costs in apartment buildings, offices and public properties.
+46 702 63 26 11
info@algeno.se
Läraregatan 3, 411 33 Göteborg, Sweden
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