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| Funder | Swedish Energy Agency |
|---|---|
| Recipient Organization | Winniio Ab |
| Country | Sweden |
| Start Date | Oct 23, 2023 |
| End Date | Nov 23, 2024 |
| Duration | 397 days |
| Data Source | Swedish Research Council |
| Grant ID | P2023-00743_Energi |
The project aims to further develop and verify a self-learning and self-controlling heating system with the help of customer evaluation during the winter season 2023-2024.
The goal is to ensure that the system and the associated algorithms function optimally, contributing to a methodology and system development for automated energy efficiency, reduced environmental impact, and carbon footprint of existing and new properties.
This means monitoring and analysing the system's capabilities and updating and improving calculations of the system's energy supply.
At the same time, discussions about scaling up to other properties are initiated as the project focuses on addressing specific challenges that VÖFAB faces, including high energy consumption, maintenance planning, and well-being and productivity.
Concrete customer benefit and business potential strengthen the project's value and potential to contribute to a sustainable transformation of the energy system.
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