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Review of applied and tested control possibilities for energy flexibility in buildings

Publication date: 2018-05-01

Author:

Finck, Christian
Beagon, Paul ; Claus, John ; Pean, Thibault ; Vogler-Finck, Pierre ; Zhang, Kun ; Kazmi, Hussain Syed ; Kazmi, Hussain Syed

Keywords:

Optimal control, Model predictive control, Reinforcement learning, Energy flexible buildings, Thermal storage

Abstract:

This report, one of the deliverables for the IEA Annex 67 on Energy Flexible Buildings, provides a comprehensive review of control methodologies to provide energy flexibility in buildings. The reviewed methodologies range from classical rule-based control to model predictive control and reinforcement learning based control. The objective of the report is to help practitioners formulate their optimal control problems according to the framework which best suits their problem.