Distributed system for indoor temperature control

2012 ◽  
Author(s):  
Aurel-Cornel Stanca ◽  
Venetia Sandu ◽  
Remus Vaduva ◽  
Oszkar Nemeth
Keyword(s):  
Distributed System ◽  
Temperature Control ◽  
Indoor Temperature ◽  
Indoor Temperature Control

scholarly journals Online Implementation of a Soft Actor-Critic Agent to Enhance Indoor Temperature Control and Energy Efficiency in Buildings

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 997
Author(s):  
Davide Coraci ◽  
Silvio Brandi ◽  
Marco Savino Piscitelli ◽  
Alfonso Capozzoli
Keyword(s):  
Energy Consumption ◽  
Temperature Control ◽  
Weather Conditions ◽  
Heating System ◽  
Building Envelope ◽  
Indoor Temperature ◽  
Model Free ◽  
Occupancy Patterns ◽  
Online Implementation ◽  
Indoor Temperature Control

Recently, a growing interest has been observed in HVAC control systems based on Artificial Intelligence, to improve comfort conditions while avoiding unnecessary energy consumption. In this work, a model-free algorithm belonging to the Deep Reinforcement Learning (DRL) class, Soft Actor-Critic, was implemented to control the supply water temperature to radiant terminal units of a heating system serving an office building. The controller was trained online, and a preliminary sensitivity analysis on hyperparameters was performed to assess their influence on the agent performance. The DRL agent with the best performance was compared to a rule-based controller assumed as a baseline during a three-month heating season. The DRL controller outperformed the baseline after two weeks of deployment, with an overall performance improvement related to control of indoor temperature conditions. Moreover, the adaptability of the DRL agent was tested for various control scenarios, simulating changes of external weather conditions, indoor temperature setpoint, building envelope features and occupancy patterns. The agent dynamically deployed, despite a slight increase in energy consumption, led to an improvement of indoor temperature control, reducing the cumulative sum of temperature violations on average for all scenarios by 75% and 48% compared to the baseline and statically deployed agent respectively.

Lightweight dense/porous PCM-ceramic tiles for indoor temperature control

2015 ◽  
Vol 108 ◽  
pp. 205-214 ◽  
Author(s):  
Rui M. Novais ◽  
G. Ascensão ◽  
M.P. Seabra ◽  
J.A. Labrincha
Keyword(s):  
Temperature Control ◽  
Ceramic Tiles ◽  
Indoor Temperature ◽  
Indoor Temperature Control

Radiant floors integrated with PCM for indoor temperature control

2011 ◽  
Vol 43 (11) ◽  
pp. 3019-3026 ◽  
Author(s):  
Roberta Ansuini ◽  
Roberto Larghetti ◽  
Alberto Giretti ◽  
Massimo Lemma
Keyword(s):  
Temperature Control ◽  
Indoor Temperature ◽  
Indoor Temperature Control
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