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Bachelor / Master Thesis - Building Climate Modelling for Load Flexibility

07.01.2019, Abschlussarbeiten, Bachelor- und Masterarbeiten

Load flexibility is becoming an important tool for the power system operator. Key candidates for load flexibility are (office) buildings, due to their inherent thermal energy storage capability. Flexible load control of the HVAC system is achieved by formulating a numerical optimization (model predictive control) problem. Therefore a research project has been established to develop the Linear Building Climate Model (LBCM). The core capability of this Python-based modelling tool is to derive linear building climate models in state space form. LBCM defines data structures for the building layout and HVAC system and comprises component models for the impact of ambient air conditions, solar irradiation, occupants, appliances and the HVAC system onto the building climate, i.e. thermal comfort and indoor air quality. The goal of this thesis is to derive a model of the MSE offices with LBCM. Existing component models will need to be extended and validated to ensure the appropriate representation of the building.

Kontakt: thomas.licklederer@tum.de

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PDF_Building_Climate_Modelling_Load_Flexibility Building Climate Modelling for Load Flexibility, (Type: application/pdf, Größe: 104.5 kB) Datei speichern