[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Jin et al., 2019 - Google Patents

A fast building demand response method based on supply–demand coordination for urgent responses to smart grids

Jin et al., 2019

Document ID
14426371039327503476
Author
Jin C
Yan C
Tang R
Cai H
Zeng R
Publication year
Publication venue
Science and Technology for the Built Environment

External Links

Snippet

Many demand response (DR) measures are available for building air-conditioning systems, which can be categorized as demand-side-based controls and supply-side-based controls. However, due to the limitations of response speed and/or thermal comfort control, existing …
Continue reading at www.tandfonline.com (other versions)

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
    • F24F11/0086—Control systems or circuits characterised by other control features, e.g. display or monitoring devices
    • 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
    • F24F11/006—Control systems or circuits characterised by type of control, internal processing or calculations, e.g. using fuzzy logic adaptative control or estimating values
    • F24F2011/0068—Control systems or circuits characterised by type of control, internal processing or calculations, e.g. using fuzzy logic adaptative control or estimating values using remote control device
    • F24F2011/0071—Control systems or circuits characterised by type of control, internal processing or calculations, e.g. using fuzzy logic adaptative control or estimating values using remote control device using internet communication
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Systems supporting the management or operation of end-user stationary applications, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y04S20/20—End-user application control systems
    • Y04S20/24—The system characterised by the end-user application
    • Y04S20/242—The system characterised by the end-user application the end-user application being or involving home appliances
    • Y04S20/244—The system characterised by the end-user application the end-user application being or involving home appliances the home appliances being or involving heating ventilating and air conditioning [HVAC] units
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—INDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models

Similar Documents

Publication Publication Date Title
Wang et al. Development of grid-responsive buildings: Opportunities, challenges, capabilities and applications of HVAC systems in non-residential buildings in providing ancillary services by fast demand responses to smart grids
Jiang et al. Flexible operation of active distribution network using integrated smart buildings with heating, ventilation and air-conditioning systems
Beil et al. Round-trip efficiency of fast demand response in a large commercial air conditioner
Wang et al. Building power demand response methods toward smart grid
De Coninck et al. Quantification of flexibility in buildings by cost curves–Methodology and application
Waseem et al. Technologies and practical implementations of air-conditioner based demand response
Fuller et al. Analysis of residential demand response and double-auction markets
Darwazeh et al. Review of peak load management strategies in commercial buildings
Shan et al. Building demand response and control methods for smart grids: A review
Amin et al. Optimal price based control of HVAC systems in multizone office buildings for demand response
Olivieri et al. Evaluation of commercial building demand response potential using optimal short-term curtailment of heating, ventilation, and air-conditioning loads
Aduda et al. Demand side flexibility coordination in office buildings: A framework and case study application
Cui et al. Evaluation of a fast power demand response strategy using active and passive building cold storages for smart grid applications
Christantoni et al. Implementation of demand response strategies in a multi-purpose commercial building using a whole-building simulation model approach
Tang et al. A power limiting control strategy based on adaptive utility function for fast demand response of buildings in smart grids
Fu et al. Utilizing commercial heating, ventilating, and air conditioning systems to provide grid services: A review
Blum et al. Dynamic simulation and analysis of ancillary service demand response strategies for variable air volume HVAC systems
Feng et al. A conditional value-at-risk-based dispatch approach for the energy management of smart buildings with HVAC systems
Corbin et al. Predictive control of residential HVAC and its impact on the grid. Part I: simulation framework and models
Cai et al. Assessments of demand response potential in small commercial buildings across the United States
Wang et al. Dynamic control strategy of residential air conditionings considering environmental and behavioral uncertainties
Georges et al. A general methodology for optimal load management with distributed renewable energy generation and storage in residential housing
Luc et al. Energy demand flexibility in buildings and district heating systems–a literature review
O'Dwyer et al. Modeling demand response in the residential sector for the provision of reserves
Lu et al. What are the impacts on the HVAC system when it provides frequency regulation?–A comprehensive case study with a Multi-Zone variable air volume (VAV) system