Sweden has set ambitious targets for a sustainable and resource-efficient building sector. However, buildings in cold regions such as Arjeplog face specific challenges: high heating demand, strong seasonal variation in solar production, limited winter generation, and accelerated battery degradation. These conditions make it difficult for municipalities and property owners to implement reliable and cost-effective renewable energy solutions.

This project addresses this gap by developing AI-based energy management systems and optimal sizing tools tailored for cold climates. The approach combines physics-based modelling with data-driven optimisation to determine appropriate capacities and operational strategies for solar PV, battery storage, EV charging infrastructure, and heat pumps. The objective is to minimise energy use and peak demand while ensuring user comfort, and enhancing resilience.

The results will be tested in use cases in buildings owned by Arjeplog Municipality and Icemakers AB. The expected outcome is a transferable decision-support and control tool that enables resource-efficient renovation and electrification of buildings in cold climates. The primary target groups are municipalities, industrial property owners, and building operators across Sweden seeking scalable, resilient, and cost-efficient energy solutions.