Joe et al., 2016 - Google Patents
Model predictive control of a radiant floor cooling system in an office spaceJoe et al., 2016
View PDF- Document ID
- 1332879516858117198
- Author
- Joe J
- Karava P
- Hou X
- Hu J
- Publication year
External Links
Snippet
This study presents an optimal control formulation for the operation of a radiant floor system in an open plan office space with an air-cooled chiller as a source. A simulation case study with different control schemes is used to evaluate the potential of the model predictive …
- 238000001816 cooling 0 title description 18
Classifications
-
- 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
- F24F11/0012—Air temperature
-
- 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
- F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
- F24F3/12—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling
- F24F3/14—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling by humidification; by dehumidification
-
- 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
- G05D23/1919—Control of temperature characterised by the use of electric means characterised by the type of controller
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B15/00—Systems controlled by a computer
- G05B15/02—Systems controlled by a computer electric
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Joe et al. | A model predictive control strategy to optimize the performance of radiant floor heating and cooling systems in office buildings | |
Satrio et al. | Optimization of HVAC system energy consumption in a building using artificial neural network and multi-objective genetic algorithm | |
Thieblemont et al. | Predictive control strategies based on weather forecast in buildings with energy storage system: A review of the state-of-the art | |
Hassan et al. | Best practices and recent advances in hydronic radiant cooling systems–Part II: Simulation, control, and integration | |
Caldas et al. | Genetic algorithms for optimization of building envelopes and the design and control of HVAC systems | |
Shaikh et al. | Intelligent multi-objective optimization for building energy and comfort management | |
Fong et al. | HVAC system optimization for energy management by evolutionary programming | |
US8818563B2 (en) | System for controlling room temperature in a building using a free energy source, an additional energy source, and predictive control | |
Preglej et al. | Energy-efficient fuzzy model-based multivariable predictive control of a HVAC system | |
Joe et al. | Model predictive control of a radiant floor cooling system in an office space | |
CN104298191B (en) | Heat prediction management based energy consumption control method in intelligent building | |
Afram et al. | Development of an accurate gray-box model of ubiquitous residential HVAC system for precise performance prediction during summer and winter seasons | |
Himpe et al. | GEOTABS concept and design: state-of-the-art, challenges and solutions | |
Murugesan et al. | Less is more: Simplified state-action space for deep reinforcement learning based HVAC control | |
Michailidis et al. | Improving energy savings and thermal comfort in large-scale buildings via adaptive optimization | |
US9772633B2 (en) | Systems and methods for controlling energy input into a building | |
Nghiem et al. | Green scheduling for radiant systems in buildings | |
Lim et al. | Thermoelectric module integrated fuel cell in a liquid desiccant-assisted air-conditioning system | |
Momoh et al. | Optimizing renewable energy control for building using model predictive control | |
Dong et al. | Simplified characterization of building thermal response rates | |
Ignjatovič et al. | Optimization of HVAC system operation based on a dynamic simulation tool | |
Fernandez et al. | Energy cost savings and expected payback for Re-tuning the controls of US Army buildings | |
Kalantar-Neyestanaki et al. | Optimal Mode Selection of Multi-Functional Heat Pumps with Simultaneous Water Heating and Space Cooling Mode | |
Ahmed et al. | Supervisory control of a building heating system based on radial basis function neural networks | |
Al Sayed et al. | Reinforcement Learning for Optimal HVAC Control: From Theory to Real-World Applications |