[go: up one dir, main page]

Wang et al., 2017 - Google Patents

A state of art review on methodologies for control strategies in low energy buildings in the period from 2006 to 2016

Wang et al., 2017

Document ID
14415916714710513034
Author
Wang Y
Kuckelkorn J
Liu Y
Publication year
Publication venue
Energy and Buildings

External Links

Snippet

Building sector accounts for significant portion of total final energy use in most countries. One way to reduce significantly building energy consumption is to adopt energy efficiency technologies and strategies. Due to environmental concerns and high cost of energy in …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive 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
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0205Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
    • G05B13/024Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system in which a parameter or coefficient is automatically adjusted to optimise the performance
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive 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
    • G05B13/027Adaptive 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
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety systems or apparatus
    • F24F11/0009Electrical control or safety systems or apparatus
    • F24F11/001Control systems or circuits characterised by their inputs, e.g. using sensors
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00Systems controlled by a computer
    • G05B15/02Systems controlled by a computer electric
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING ENGINES OR PUMPS
    • F24HEATING; RANGES; VENTILATING
    • F24FAIR-CONDITIONING, AIR-HUMIDIFICATION, VENTILATION, USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00Control or safety systems or apparatus
    • F24F11/0009Electrical control or safety systems or apparatus
    • F24F11/0086Control systems or circuits characterised by other control features, e.g. display or monitoring devices
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D23/00Control of temperature
    • G05D23/19Control of temperature characterised by the use of electric means
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00Systems involving the use of models or simulators of said systems
    • G05B17/02Systems involving the use of models or simulators of said systems electric

Similar Documents

Publication Publication Date Title
Wang et al. A state of art review on methodologies for control strategies in low energy buildings in the period from 2006 to 2016
Zhang et al. Building HVAC scheduling using reinforcement learning via neural network based model approximation
Afram et al. Theory and applications of HVAC control systems–A review of model predictive control (MPC)
Huang et al. A robust model predictive control strategy for improving the control performance of air-conditioning systems
Mantovani et al. Temperature control of a commercial building with model predictive control techniques
Privara et al. Model predictive control of a building heating system: The first experience
Naidu et al. Advanced control strategies for heating, ventilation, air-conditioning, and refrigeration systems—An overview: Part I: Hard control
Gruber et al. Model-based controllers for indoor climate control in office buildings–complexity and performance evaluation
Mařík et al. Advanced HVAC control: Theory vs. reality
Zhang et al. Decentralized and distributed temperature control via HVAC systems in energy efficient buildings
Godina et al. Optimal residential model predictive control energy management performance with PV microgeneration
Lee et al. Gain scheduling based ventilation control with varying periodic indoor air quality (IAQ) dynamics for healthy IAQ and energy savings
Zhuang et al. A new simplified modeling method for model predictive control in a medium-sized commercial building: A case study
Lee et al. Simplified data-driven models for model predictive control of residential buildings
Afram et al. Effects of dead-band and set-point settings of on/off controllers on the energy consumption and equipment switching frequency of a residential HVAC system
Cigler et al. On the selection of the most appropriate MPC problem formulation for buildings
Zhang et al. Model predictive control for building energy reduction and temperature regulation
Gao et al. Model-based space temperature cascade control for constant air volume air-conditioning system
Khanmirza et al. Predictive control of a building hybrid heating system for energy cost reduction
Jee et al. Machine learning based simultaneous control of air handling unit discharge air and condenser water temperatures set-point for minimized cooling energy in an office building
Wu et al. Multi-stage regression linear parametric models of room temperature in office buildings
Hilliard et al. Development of a whole building model predictive control strategy for a LEED silver community college
Sha et al. A control strategy of heating system based on adaptive model predictive control
KR20250048779A (en) Reduced-data training of neural networks for HVAC control
Kim et al. Model predictive control for supervising multiple rooftop unit economizers to fully leverage free cooling energy resource