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optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project financed by
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-enhanced exact methods, particularly focusing on Column Generation (and Branch-and-Price), to improve scalability and convergence in solving complex optimization problems. In collaboration with your
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challenges. This PhD project aims to advance the efficient, controllable, and optimized use of renewable energy by integration of advanced TES technologies (latent heat and thermochemical storage) in
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Division at DTU Management. The PhD project aims to analyze and optimize Hospital-at-Home concepts using data-driven decision-support addressing challenges like long distances to specialist care and high
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for industrial decarbonization with emphasis in system development, modelling, optimization and validation, and focus on: Develop thermally integrated storage and conversion systems, including Carnot batteries and
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within the following projects: 1. CO2plus: Phase behavior of CO2+X in CO2 storage. 2. CapSim: Optimizing carbon capture simulation through advanced modelling tools. Responsibilities and
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. Main tasks and responsibilities: Design soft robotic grippers with embedded sensors Develop and optimize multi-material 3D printing processes Integrate sensors and adaptive control systems Validate
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Combustion Engines, ICE, have been optimized for fossil fuels for more than 140 years but the new fuels have properties that can enable a more efficient operation. Advanced combustion processes like HCCI, SACI
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of energy and a large part of this energy is used for conditioning indoor environments. There is a global need to identify heating, cooling and ventilation (HVAC) solutions that create optimal indoor
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an optimized extraction process for bioactive compounds from seaweed. Analyse and characterize the extracted compounds for their bioactivity and techno-functional properties. Support student supervision and