[go: up one dir, main page]

Clarke et al., 2002 - Google Patents

Simulation-assisted control in building energy management systems

Clarke et al., 2002

View PDF
Document ID
17246899735347694410
Author
Clarke J
Cockroft J
Conner S
Hand J
Kelly N
Moore R
O’brien T
Strachan P
Publication year
Publication venue
Energy and buildings

External Links

Snippet

Technological advances in real-time data collection, data transfer and ever-increasing computational power are bringing simulation-assisted control and on-line fault detection and diagnosis (FDD) closer to reality than was imagined when building energy management …
Continue reading at strathprints.strath.ac.uk (PDF) (other versions)

Classifications

    • 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
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • 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
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • 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
    • 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
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • 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
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2642—Domotique, domestic, home control, automation, smart house
    • 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
    • F24F11/0086—Control systems or circuits characterised by other control features, e.g. display or monitoring devices
    • 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
    • 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
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • 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
    • 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
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric

Similar Documents

Publication Publication Date Title
Clarke et al. Simulation-assisted control in building energy management systems
Liao et al. A simplified physical model for estimating the average air temperature in multi-zone heating systems
Kolokotsa et al. A roadmap towards intelligent net zero-and positive-energy buildings
Yang et al. A model calibration framework for simultaneous multi-level building energy simulation
Salsbury et al. Performance validation and energy analysis of HVAC systems using simulation
US20150178421A1 (en) Systems for and methods of modeling, step-testing, and adaptively controlling in-situ building components
Ahn et al. Development of an intelligent building controller to mitigate indoor thermal dissatisfaction and peak energy demands in a district heating system
Maasoumy et al. Smart connected buildings design automation: Foundations and trends
Li Development and validation of a dynamic air handling unit model, Part I
Corrado et al. Steady-state and dynamic codes, critical review, advantages and disadvantages, accuracy, and reliability
Pang et al. Testing and demonstration of model predictive control applied to a radiant slab cooling system in a building test facility
Gao et al. Model-based space temperature cascade control for constant air volume air-conditioning system
Abdo-Allah et al. Modeling, analysis, and design of a fuzzy logic controller for an AHU in the SJ Carew Building at Memorial University
Lara et al. Modeling and identification of the cooling dynamics of a tropical island hotel
Pergantis et al. Humidity-aware model predictive control for residential air conditioning: A field study
Deng et al. Evaluation of deploying data-driven predictive controls in buildings on a large scale for greenhouse gas emission reduction
Djuric et al. Heating system performance estimation using optimization tool and BEMS data
Abdo-Allah et al. Modeling, analysis, and state feedback control design of a multizone HVAC system
Babosalam et al. Occupancy-aware energy optimization in building-to-grid systems using deep neural networks and model predictive control
Hussein et al. Black box modelling and simulating the dynamic indoor air temperature of a laboratory using (ARMA) model
Ginestet et al. Control tuning of a simplified VAV system: Methodology and impact on energy consumption and IAQ
Kim et al. Implementation and validation of optimal start control strategy for air conditioners and heat pumps
Wang et al. Energy-Efficient HVAC Control based on Reinforcement Learning and Transfer Learning in a Residential Building
Wang et al. Dynamic and real-time simulation of BMS and air-conditioning system as a ‘living’environment for learning/training
Fütterer Energy concept for the E. ON ERC main building