Brains 4 Buildings: Optimising energy consumption and increasing energy flexibility of a nearly transparent building using MPC

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Brains 4 Buildings organiseert maandelijkse webinars waarin deskundigen allerlei actuele onderwerpen met betrekking tot slimme gebouwen belichten. 15 juni zal er een webinar plaatsvinden over het optimaliseren van het energieverbruik en vergroten van de energieflexibiliteit van een nagenoeg transparant gebouw met behulp van MPC. 

Let op: dit webinar is in het engels. Hieronder de engelse beschrijving van het webinar.

Passive energy sources have the potential to significantly reduce the energy consumption of the building. However, to achieve optimal energy savings, it is necessary to integrate multiple passive energy sources and develop a control strategy that can manage them effectively. We use an MPC (Model Predictive Control) strategy to optimize the operation of multiple passive energy sources in a building. Specifically, the research focuses on four solar blinds, a PCM (Phase Change Material) battery, sky windows, heat recuperation, natural ventilation, and an active energy source.  

Grey-box modeling approach is used to model the building, and the model is calibrated using experimental data. The MPC problem is then set up to minimize active energy consumption while ensuring indoor thermal comfort during occupied periods. The proposed MPC is then implemented in the building. The research also provides insights into the energy-saving potential and energy flexibility of buildings using MPC.

Speaker(s): Naveen Rajappa


Naveen Rajappa is a Graduate Research Student in Energy, Flow and Process technology at TU Delft. He is experienced in the field of HVAC, heat pumps and aims at a long-term goal of developing smart energy systems.

Brains 4 Buildings

Brains 4 Buildings is a multi-year, multi-stakeholder program focused on developing methods to harness big data from smart meters, building management systems and the Internet of Things devices, to reduce energy consumption, increase comfort, respond flexibly to user behaviour and local energy supply and demand, and save on installation maintenance costs. This will be done through the development of faster and more efficient Machine Learning and Artificial Intelligence models and algorithms. The project is geared to utility buildings such as commercial and institutional buildings.

Meer informatie

Kijk voor meer informatie over het webinar op de website van Brains 4 Buildings.

Klik hier voor meer informatie over de samenwerking tussen Brains 4 Buildings en DGBC