Building systems are subject of dynamic system that have a general feature of non-linearity
and in turn, present us with different challenges for its optimized control of energy-saving …

It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …

This paper presents a distributed Model Predictive Control (MPC) approach for multi-zone
building energy systems based on nonlinear Modelica controller models. The method …

Fast and easy advanced model-based control design for energy-efficient multi-zone
buildings is crucial for optimal energy savings, and this strongly depends on the availability …

Abstract Buildings-to-grid (BtG) integration simulations are becoming prevalent due to the
development of smart buildings and smart grid. Buildings are the major energy consumers of …

This paper presents theoretical and experimental work that is being carried out in a grid-
connected residential building demonstrator available at the Instituto de Energía Solar (IES) …

This paper concerns the design of an energy management system for a building cooling
system that includes a chiller plant (with two or more chiller units), a thermal storage unit …

The paper presents a general agent-based system identification framework as potential
solution for data-driven models of building systems that can be developed and integrated …

Generic model-assisted control algorithms for building energy systems achieve an energy-
efficient building operation while the implementation effort is lower than in the case of a …

Most of the content of this volume highlights new research developments in building
automation, with an emphasis on heating, ventilation, and air conditioning (HVAC) control …