Control of a PCM ventilated facade using reinforcement learning techniques
MetadataShow full item record
Artificial intelligence techniques have been successfully applied to control dynamic systems looking for an optimal control. Among those techniques, reinforcement learning has been shown as particularly effective at reducing the dimensionality of some real problems and solving control problems by learning from experience. The use of thermal energy storage active systems in the building sector is identified as suitable option to reduce their energy demand for heating and cooling. However, these systems might be expensive and require appropriate control strategies in order to improve the performance of the building. In this paper a ventilated facade with PCM is controlled using a reinforcement learning algorithm. The ventilated facade uses mechanical ventilation during nighttime to solidify the PCM and releases this cold stored to the inner environment during the peak demand period. It is crucial to decide correctly the schedule of charge and discharge process of the PCM according to the weather and indoor conditions. An experimentally validated numerical model is used to test the performance of the control algorithm under different weather conditions. Important improvements on the energy savings due to the use of control strategies were found and supported by the data under the different tested climatic conditions.
Is part ofEnergy and Buildings, 2015, vol. 106, p. 234-242
European research projects
Except where otherwise noted, this item's license is described as cc-by-nc-nd, (c) Elsevier B.V., 2015
Showing items related by title, author, creator and subject.
Control strategies comparison of a ventilated facade with PCM – energy savings, cost reduction and CO2 mitigation Gracia Cuesta, Alvaro de; Barzin, Reza; Fernàndez Camon, César; Farid, Mohammed M.; Cabeza, Luisa F. (Elsevier, 2016)The use of active thermal energy storage can provide energy savings, cost reduction and CO2 mitigation by reducing energy demand for heating and cooling, allowing the use of peak load shifting strategies and enhancing the ...
A simple model to predict the thermal performance of a ventilated facade with phase change materials Gracia Cuesta, Alvaro de; Castell, Albert; Fernàndez Camon, César; Cabeza, Luisa F. (Elsevier, 2015)Appropriate design and control strategies are crucial for the implementation of certain complex active systems in the building sector. Suitable and user-friendly numerical tools have to be available to architects and ...
Gracia Cuesta, Alvaro de; Navarro Farré, Lidia; Castell, Albert; Cabeza, Luisa F. (Elsevier, 2015)New policies are being promoted worldwide to reduce the energy consumption for space heating and cooling in the building sector. As a new technology to achieve this objective, phase change material (PCM) panels were ...