Load management in multi-energy buildings: a simulation case study

This paper presents a comprehensive approach about energy resources management in buildings connected to the electricity grid and equipped with energy production and storage systems. The aim of the work is to find interesting configurations that favour energy self-consumption while minimizing the impact of the local production on the grid. Energy and economic criteria are proposed to evaluate the proposed strategy. A parametric study allowed the local systems to be optimally designed.

Self-adapting building models for model predictive control

The capacity of intermittent power sources like wind and PV is steadily increasing. The existing balance between production and consumption is seriously affected by these new sources. Flexible demand for example in buildings is one solution to come back to a stable system. Buildings provide a huge potential for flexible electricity demand. This flexibility can be addressed by using model predictive control (MPC) with optimized scheduling for the buildings’ heating, ventilation and air conditioning (HVAC) systems.

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