Sista ansökningsdag 2026-10-18
Thesis Work - Integration of Data Centres into the Electricity System
Company Description Vattenfall is a leading European energy company serving approximately 12 million customers and employing around 21,000 people. We believe there is a way to build a future where everyone can choose fossil-free ways to move, make, and live. Job Description Are you a student looking to apply your knowledge to real-world solutions that support the energy transition? With us, you will have the opportunity to complete your thesis project close to the business, working alongside experienced specialists and tackling challenges where your ideas and perspectives can make a real difference. Vattenfall R&D is responsible for conducting business driven technical development that creates value for the company and helps us realise our strategy. We develop cost-effective, safe and sustainable solutions to improve the infrastructure of Vattenfall assets including but not limited to Hydro, Wind, Nuclear, SKB, Heat, and Distribution. The rapid development of artificial intelligence, cloud computing, and digital services is increasing both the number and capacity of data centres. These facilities may become significant electricity consumers with load characteristics that differ from conventional industrial demand due to power-electronic equipment, rapid workload variations, cooling systems, uninterruptible power supplies, and energy storage. This thesis will investigate the integration of data centres into the Swedish electricity system. The initial phase will review available public and industrial data, data-centre electrical architectures, load profiles, modelling methods, and relevant flexibility opportunities. Based on the findings and data availability, the study will define and investigate one or more representative use cases. Potential research directions include: Characterization and modelling of data-centre electricity demand Interaction between data centres and the electricity grid Assessment of available workload, power, and facility-level datasets E
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