Publications
Linking dataset quality and MPC in buildings: impact of temporal resolution KU Leuven
This study aims at assessing the impact of dataset quality on the performance of Model Predictive Control (MPC). The dataset feature, which is the target of this study, is temporal resolution, which applies to both data logging and the controller time step. A high temporal resolution might result in a more accurate predictive model, but it increases the need for data storage as well as the computational load on the model training. From the ...
Towards large scale Heat Loss Coefficient assessment starting from limited on-board measured data KU Leuven
In search of optimal building behavior models for model predictive control in the context of flexibility KU Leuven
Model predictive control (MPC) is an advanced control technique. It has been deployed to harness the energy flexibility of a building. MPC requires a dynamic model of the building to achieve such an objective. However, developing a suitable predictive model is the main challenge in MPC implementation for flexibility activation. This study focuses on the application of key performance indicators (KPIs) to evaluate the suitability of MPC models ...
Data-driven estimation of time-dependent solar gain coefficient in a two-zone building with synthetic occupants: Two B-splines integrated grey-box modeling approaches KU Leuven
Solar gains are a significant share of the heat input to the buildings’ interior energy balance. Therefore, it is important to estimate the dynamic details of solar gains precisely for predictive works, such as in model predictive control (MPC). Effective solutions to gauge the dynamic details of solar gains are still lacking. To fill this gap, a data-driven B-splines integrated grey-box modelling technique has been presented recently, and its ...
Analysis of the influence of district thermal properties for enhancing energy flexibility through thermal mass activation KU Leuven
This study investigates the use of thermal mass within a smart sustainable district (SSD) to facilitate the renewables’ integration. The aim is to pinpoint the most suitable archetypes in a SSD and the most optimal energy flow to each of them; moreover, to establish a relation between the suitability to activate thermal mass and the properties of the archetypes, namely Heat Loss Coefficient (HLC), Structural mass (SM) and time constant (TC). ...
Evaluating the impact of insulation on activating energy flexibility in residential dwellings KU Leuven
Building sector could play an important role in tackling the issue of supply and demand mismatch. To this end, flexibility of the buildings should be harnessed. However, activating and quantifying flexibility of buildings requires advanced control strategies. Here, Model Predictive Control (MPC) is deployed to harness the flexibility. In addition, thermal properties of a building impact its provided flexibility. This paper aim at assessing the ...