Heating system

TL;DR: In this article, the authors focus on the analysis of energy savings that can be achieved in a building heating system by applying model predictive control (MPC) and using weather predictions.

TL;DR: In this article, a model predictive controller (MPC) is applied to the temperature control of real building, which uses both weather forecast and thermal model of a building to inside temperature control.

TL;DR: In this paper, an optimal operation model for an integrated energy system (IES) combining the thermal inertia of a district heating network (DHN) and buildings to enhance the absorption of wind power is proposed.

TL;DR: In this paper, a simulation-based optimization method was used to find the cost-optimal and nZEB energy performance levels for a study case of a single-family house in Finland, where different options of building envelope parameters, heat-recovery units, and heating/cooling systems as well as various sizes of thermal and photovoltaic solar systems were explored as design options via three-stage optimization.