Bi-level optimization scheduling method for air conditioning system based on demand response

    公开(公告)号:US12188669B2

    公开(公告)日:2025-01-07

    申请号:US18126452

    申请日:2023-03-26

    Abstract: A bi-level optimization scheduling method for an air conditioning system based on demand response includes: constructing a lumped heat capacity model to describe a heat storage capacity of a building to thereby obtain a building heat storage model; obtaining a function relational expression of describing an indoor dry bulb temperature and a cooling and heating load of the building based on the building heat storage model; constructing a power consumption calculation model under a working condition of demand response based on the function relational expression; constructing optimization objective functions based on the power consumption calculation model; and substituting the optimization objective functions into a bi-level optimization process, and optimizing the bi-level optimization process to obtain an optimal scheduling strategy for the air conditioning system participating in demand response. The method can achieve a global optimization of demand response scheduling strategy, and improve economy and energy saving of system operation.

    Adaptive thermal comfort learning for optimized HVAC control

    公开(公告)号:US12163682B2

    公开(公告)日:2024-12-10

    申请号:US18494649

    申请日:2023-10-25

    Applicant: Uplight, Inc.

    Abstract: A facility providing systems and methods for managing and optimizing thermal comfort is provided. The facility is a software algorithm that intelligently detects the thermal comfort preferences of residential smart thermostat users, where a user's “comfort preference” is defined to refer to an estimate of a measurement of the user's comfort across varying values of some set of exogenous factors, including but not limited to indoor temperature, the time of day, the day of the week, and weather conditions. This facility encompasses the use of this “comfort preference” for the creation of an optimal schedule of setpoints for a residential thermostat which is configured to optimize some objective, including potentially user comfort, energy efficiency, load shift, or cost.

    DECOUPLED CONTROL OF REFRIGERANT CLIMATE CONTROL SYSTEMS

    公开(公告)号:US20240102678A1

    公开(公告)日:2024-03-28

    申请号:US17950903

    申请日:2022-09-22

    Applicant: Apple Inc.

    Abstract: Described herein are techniques for optimizing operation of a refrigerant climate control system using an energy management device. In an example process, the energy management device may receive an energy optimization signal that describes a characteristic associated with an electrical energy source. The process may also include the energy management device generating a control signal for a refrigerant climate control system to use the electrical energy source based at least in part on the characteristic of the energy optimization signal. The process may also include the energy management device providing the control signal to a controller of the refrigerant climate control system.

    Air conditioning system for transferring air in an air-conditioned room

    公开(公告)号:US11940166B2

    公开(公告)日:2024-03-26

    申请号:US17435410

    申请日:2020-02-17

    CPC classification number: F24F11/47 F24F3/044 F24F7/08 F24F11/54

    Abstract: An air conditioning system is provided, which includes a transfer fan for transferring air to a room as a space in a house from an air-conditioned room, a motion sensor for detecting whether the room is occupied or unoccupied and an air conditioning system controller for controlling the transfer fan. In the air conditioning system, a target air conditioning environment obtaining section obtains at least a target air conditioning environment of the room, an occupied-room air conditioning environment section controls the transfer fan that transfers air to the occupied room to approximate the occupied room to the target air conditioning environment according to information from the motion sensor and an unoccupied-room air conditioning environment section controls the transfer fan that transfers air to the unoccupied room to approximate the unoccupied room to a quasi-target air conditioning environment where an energy burden is lower than that of the occupied room according to information from the motion sensor.

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