ehubAcronym | ehub | Homepage | http://ehub.empa.ch/ | Country | Switzerland | ZIP, City | 8600 Dübendorf | Address | Ueberlandstrasse 129 | Phone | | Type | Academy | Parent organization | Empa | Current organization | ehub |
Open OpportunitiesThe building sector is responsible for more than one third of the energy consumption and CO2-emissions worldwide. In industrialized countries around half of this energy is used for heating, ventilation and air conditioning (HVAC). Improving the energy efficiency of buildings has therefore a significant impact on mitigation climate change. However, renovating the building envelope or HVAC system of already existing buildings is relatively expensive and causes slow diffusion. In contrast, integration or upgrading of heating or cooling control systems and optimizing its operation can be done at comparatively low costs, resulting in fast impact.
While Model Predictive Control (MPC) is considered the gold standard for climate control in buildings, a crucial part of MPC is the identification of an accurate model of the building. Here, first-principle based models still outperform purely data-driven models such as the ones presented in. However, first-principle based building modelling is associated with many tedious tasks such as mapping of the floor plan and inventory, or identification of several system parameters (e.g. thermal resistance of walls). If an experienced engineer has to perform these tasks for each building individually, MPC might not be economically feasible. - Electrical Engineering, Intelligent Robotics, Mechanical Engineering, Simulation and Modelling, Systems Theory and Control
- Master Thesis
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