Lymperopoulos et al., 2020 - Google Patents
Building temperature regulation in a multi-zone HVAC system using distributed adaptive controlLymperopoulos et al., 2020
- Document ID
- 10606869593767714122
- Author
- Lymperopoulos G
- Ioannou P
- Publication year
- Publication venue
- Energy and Buildings
External Links
Snippet
During recent years there have been considerable research efforts on improving energy efficiency of buildings. Since Heating, Ventilation and Air-Conditioning (HVAC) systems are responsible for a big part of energy consumption, developing efficient HVAC control systems …
- 230000003044 adaptive 0 title abstract description 48
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D23/00—Control of temperature
- G05D23/19—Control of temperature characterised by the use of electric means
- G05D23/27—Control of temperature characterised by the use of electric means with sensing element responsive to radiation
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety systems or apparatus
- F24F11/0009—Electrical control or safety systems or apparatus
- F24F11/001—Control systems or circuits characterised by their inputs, e.g. using sensors
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Lymperopoulos et al. | Building temperature regulation in a multi-zone HVAC system using distributed adaptive control | |
Yang et al. | Towards healthy and cost-effective indoor environment management in smart homes: A deep reinforcement learning approach | |
Jafarinejad et al. | Bi-level energy-efficient occupancy profile optimization integrated with demand-driven control strategy: University building energy saving | |
Homod | Assessment regarding energy saving and decoupling for different AHU (air handling unit) and control strategies in the hot-humid climatic region of Iraq | |
Kolokotsa et al. | Predictive control techniques for energy and indoor environmental quality management in buildings | |
Kusiak et al. | Minimization of energy consumption in HVAC systems with data-driven models and an interior-point method | |
Pfeiffer et al. | Control of temperature and energy consumption in buildings-a review. | |
Li et al. | Dynamic modeling and control of a direct expansion air conditioning system using artificial neural network | |
Kolokotsa | Comparison of the performance of fuzzy controllers for the management of the indoor environment | |
Wang et al. | Energy optimization for HVAC systems in multi-VAV open offices: A deep reinforcement learning approach | |
CN113108432B (en) | Air conditioning system adjusting method and system based on weather forecast | |
Yu et al. | Online tuning of a supervisory fuzzy controller for low-energy building system using reinforcement learning | |
CN114234384B (en) | Air conditioning optimization control method and system for railway passenger station | |
Dai et al. | Deciphering optimal mixed-mode ventilation in the tropics using reinforcement learning with explainable artificial intelligence | |
Kolokotroni et al. | An investigation of passive ventilation cooling and control strategies for an educational building | |
Jin et al. | Prediction-based online optimal control of outdoor air of multi-zone VAV air conditioning systems | |
Ma et al. | Coordinated control for air handling unit and variable air volume boxes in multi-zone hvac system | |
CN119755752A (en) | A heating energy regulation method based on building energy saving and emission reduction | |
KR102593997B1 (en) | Electronic device and method for control of building management system | |
Yu et al. | Hierarchical fuzzy control of low-energy building systems | |
Eftekhari et al. | Design and performance of a rule-based controller in a naturally ventilated room | |
Ouaret et al. | Supervisory control of building heating system with insulation changes using three architectures of neural networks | |
Marjanovic et al. | Design and simulation of a fuzzy controller for naturally ventilated buildings | |
Constantin et al. | Simulation assisted implementation of a model based control parameter fine-tuning methodology for a nonresidential building with a complex energy system | |
Kim et al. | Building Space Thermal Control Model Responding to Sharp Changes in Outdoor Temperature |