[HTML][HTML] Experimental test of a black-box economic model predictive control for residential space heating
Previous studies have identified significant demand response (DR) potentials in using
economic model predictive control (E-MPC) of space heating to exploit the inherent thermal …
economic model predictive control (E-MPC) of space heating to exploit the inherent thermal …
[HTML][HTML] An ontology-based innovative energy modeling framework for scalable and adaptable building digital twins
Digitalization of buildings and the use of IoT sensing and metering devices are steadily
increasing, offering new opportunities for more autonomous, efficient, and flexible buildings …
increasing, offering new opportunities for more autonomous, efficient, and flexible buildings …
[HTML][HTML] The robustness of black and grey-box models of thermal building behaviour against weather changes
Several studies have indicated a significant potential in using Model Predictive Control
(MPC) of space heating for demand response purposes. The performance of the MPC …
(MPC) of space heating for demand response purposes. The performance of the MPC …
Data pre-processing and optimization techniques for stochastic and deterministic low-order grey-box models of residential buildings
Grey-box models are data-driven models where the structure is defined by the physics while
the parameters are calibrated using data. Low-order grey-box models of the building …
the parameters are calibrated using data. Low-order grey-box models of the building …
Economic model predictive control of space heating and dynamic solar shading
Dynamic solar shading devices are an effective mean to avoid overheating in buildings due
to excessive solar heat gains. They can also be used to affect the heat balance of buildings; …
to excessive solar heat gains. They can also be used to affect the heat balance of buildings; …
[HTML][HTML] Influence of data pre-processing and sensor dynamics on grey-box models for space-heating: Analysis using field measurements
A grey-box model is a combination of data-driven and physics-based approaches to
modeling. For applications in buildings, grey-box models can be used as the control model …
modeling. For applications in buildings, grey-box models can be used as the control model …
[HTML][HTML] Component-level re-commissioning of a newly retrofitted Danish healthcare building
The building sector is among the sectors with the highest energy use, responsible for 40% of
the total energy consumption in the EU. The high energy consumption is partly due to …
the total energy consumption in the EU. The high energy consumption is partly due to …
Development and validation of grey-box multi-zone thermal building models
In this paper, we identify and validate multi-zone grey box models with real-world
temperature measurements. We obtain the temperature measurements from temperature …
temperature measurements. We obtain the temperature measurements from temperature …
Parameter Estimation of Modelica Building Models Using CasADi
Predictive control can substantially improve the energy performance of buildings during
operation, but it requires a model of the building to be implemented. Gray-box model …
operation, but it requires a model of the building to be implemented. Gray-box model …
Influence of data pre-processing techniques and data quality for low-order stochastic grey-box models of residential buildings
Model Predictive Control (MPC) has proved to be a key technology to activate the energy
flexibility of buildings. A reliable control-based model should be developed to implement an …
flexibility of buildings. A reliable control-based model should be developed to implement an …