This study applies a simulation- and optimization-based framework using artificial neural networks for the model predictive control (MPC) of space heating systems. The case study is a real low-energy ...

MPC is a model-based control algorithm and a prediction model is used. ... Model predictive power control of a heat pipe cooled reactor. Front. Energy Res. 10:984007. doi: 10.3389/fenrg.2022.984007.

EMPC algorithm which is shown in Figure 3 solves two sequential optimization problems for every sampling time within the prediction horizon. The PFH3 algorithm determines the radiators’ output to ...

In this paper a multi-variable control for the simultaneous control of the air temperature and the air humidity of an industrial heating ventilating and air conditioning (HVAC) system is presented.

Researchers from Austria’s University of Natural Resources and Life Sciences Vienna have presented a novel, low-tech model predictive control (MPC) algorithm for the grid-friendly operation of ...

Advanced control strategies like model predictive control (MPC) have provided a new paradigm for grid-interactive efficient building operation with the advancement of computation and sensing. This ...

This paper presents a model-based predictive control strategy to optimize the operations of phase change material (PCM) ceiling panels coupled with a multi-stage air-source heat pump. A three-stage ...

The researchers also found that model predictive control improves heating capacity by up to 30.9% and coefficient of performance (COP) by up to 10.7%. By accommodating uneven magnetocaloric ...

This paper presents a study to optimize the heating energy costs in a residential building with varying electricity price signals based on an Economic Model Predictive Controller (EMPC). The ...