heatGuide provides technical solutions suitable for widespread use in private households to reduce the physiological heat load in indoor spaces. A prototype of a heat warning and management system for individual houses or rooms is developed and tested in real applications. Based on room-specific computer models and predictive algorithms as well as low-cost standard IT components for evaluating the indoor climate, the system will warn occupants of particularly stressful situations early on and provide practical instructions via an intuitive user interface. In apartments and buildings with SmartHome systems, these should also be able to be implemented automatically. The technological core is formed by reliable room-specific predictions of physiological heat stress. For these, proven building-type-based urban climate models (top-down approach) are to be combined with models for building physics, systems engineering and user behavior, which are parameterized on a room-specific basis using local, continuous measurements and self-learning AI algorithms (bottom-up approach).

Duration

2021 - 2024

Funding

Baden-Württemberg Stiftung

Project partners

Projekthaus Ulm, SAIA, Mondas, Regionale Energieagentur Ulm gGmbH, Stadtwerke Ulm/Neu-Ulm Netze GmbH, Robert-Bosch-Schule Ulm