Systems and methods for energy cost optimization in a building system
    91.
    发明授权
    Systems and methods for energy cost optimization in a building system 有权
    建筑系统能源成本优化的系统和方法

    公开(公告)号:US09436179B1

    公开(公告)日:2016-09-06

    申请号:US13802279

    申请日:2013-03-13

    Abstract: Methods and systems to minimize energy cost in response to time-varying energy prices are presented for a variety of different pricing scenarios. A cascaded model predictive control system is disclosed comprising an inner controller and an outer controller. The inner controller controls power use using a derivative of a temperature setpoint and the outer controller controls temperature via a power setpoint or power deferral. An optimization procedure is used to minimize a cost function within a time horizon subject to temperature constraints, equality constraints, and demand charge constraints. Equality constraints are formulated using system model information and system state information whereas demand charge constraints are formulated using system state information and pricing information. A masking procedure is used to invalidate demand charge constraints for inactive pricing periods including peak, partial-peak, off-peak, critical-peak, and real-time.

    Abstract translation: 针对各种不同的定价情况,提出了响应时变能源价格最小化能源成本的方法和系统。 公开了一种级联模型预测控制系统,其包括内部控制器和外部控制器。 内部控制器使用温度设定值的导数控制功率使用,外部控制器通过功率设定值或功率延迟来控制温度。 优化程序用于在受到温度约束,等式约束和需求电荷约束的时间范围内最小化成本函数。 使用系统模型信息和系统状态信息制定平等约束,而使用系统状态信息和定价信息来制定需求收费约束。 屏蔽程序用于使包括峰值,部分峰值,非高峰,临界峰值和实时在内的非活动定价周期的需求电荷约束无效。

    INCORPORATING A LOAD CHANGE PENALTY IN CENTRAL PLANT OPTIMIZATION
    92.
    发明申请
    INCORPORATING A LOAD CHANGE PENALTY IN CENTRAL PLANT OPTIMIZATION 审中-公开
    在中央工厂优化中加入负担变更惩罚

    公开(公告)号:US20150316946A1

    公开(公告)日:2015-11-05

    申请号:US14634573

    申请日:2015-02-27

    Abstract: An optimization system for a central plant includes a processing circuit configured to receive load prediction data indicating building energy loads and utility rate data indicating a price of one or more resources consumed by equipment of the central plant to serve the building energy loads. The optimization system includes a high level optimization module configured to generate an objective function that expresses a total monetary cost of operating the central plant over the optimization period as a function of the utility rate data and an amount of the one or more resources consumed by multiple groups of the central plant equipment. The optimization system includes a load change penalty module configured to modify the objective function to account for a load change penalty resulting from a change in an amount of the building energy loads assigned to one or more of the groups of central plant equipment.

    Abstract translation: 用于中央设备的优化系统包括处理电路,其被配置为接收指示建筑物能量负载的负荷预测数据和表示中央设备的设备消耗的一个或多个资源的价格的效用率数据,以用于建筑物能量负荷。 所述优化系统包括高级优化模块,其被配置为生成目标函数,所述目标函数表示在所述优化周期内操作所述中心工厂的总货币成本,作为所述效用率数据的函数以及多个所消耗的所述一个或多个资源的量 集团的中央设备设备。 优化系统包括负载变化罚款模块,其被配置为修改目标函数以解决由分配给一组或多组中央工厂设备的建筑物能量负荷的量的变化导致的负荷变化损失。

    Model predictive maintenance system with event or condition based performance

    公开(公告)号:US12242259B2

    公开(公告)日:2025-03-04

    申请号:US16943781

    申请日:2020-07-30

    Abstract: A model predictive maintenance (MPM) system for building equipment includes one or more processing circuits including one or more processors and memory storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include obtaining one or more performance indicators for the building equipment and determining whether a trigger condition has been satisfied based on the one or more performance indicators. The operations include triggering a model predictive maintenance process to generate a maintenance schedule for the building equipment in response to determining that the trigger condition has been satisfied. The operations include initiating a maintenance activity for the building equipment in accordance with the maintenance schedule.

    HVAC controller with predictive cost optimization

    公开(公告)号:US11953865B2

    公开(公告)日:2024-04-09

    申请号:US16719865

    申请日:2019-12-18

    CPC classification number: G05B13/048 F24F11/54 G05B13/042

    Abstract: A controller for heating, ventilation, or air conditioning (HVAC) equipment including a processing circuit configured to perform a first optimization to generate a first set of control decisions for HVAC equipment including waterside HVAC equipment that consume resources from utility providers to generate a heated or chilled fluid and airside HVAC equipment that receive and use the fluid from the waterside HVAC equipment to heat or cool a supply of airflow for a building. The processing circuit is configured to perform a second optimization subject to a constraint based on a result of the first optimization to generate a second set of control decisions for the HVAC equipment and to combine the first and second sets to generate a combined set of control decisions for the HVAC equipment. The processing circuit is configured to operate the HVAC equipment in accordance with the combined set of control decisions.

    Model predictive maintenance system with automatic service work order generation

    公开(公告)号:US11747800B2

    公开(公告)日:2023-09-05

    申请号:US16418686

    申请日:2019-05-21

    CPC classification number: G05B23/0283 G05B23/0294 G06Q30/0282

    Abstract: An automatic work order generation system for model predictive maintenance (MPM) of building equipment including an MPM system including an equipment controller to operate the building equipment to affect an environmental condition of a building. The MPM system can perform a predictive optimization to determine a service time at which to service the building equipment. The automatic work order generation system includes an equipment service scheduler that can determine whether any service providers are available to perform equipment service within a predetermined time range of the service time. In response to determining that service providers are available to perform the equipment service, the equipment service scheduler can select a service provider and an appointment time based on one or more service provider attributes. The equipment service scheduler can generate a service work order and transmit the service work order to the service provider to schedule a service appointment.

    Model predictive maintenance systems and methods with automatic parts resupply

    公开(公告)号:US11636429B2

    公开(公告)日:2023-04-25

    申请号:US16438961

    申请日:2019-06-12

    Abstract: An automatic parts resupply system for building equipment including a model predictive maintenance system configured to determine a service time at which to perform service on the building equipment by performing a predictive optimization of a total cost of operating and servicing the building equipment over a time period. The service time is a decision variable in the predictive optimization. The automatic parts resupply system includes a resupply manager. The resupply manager is configured to generate a parts resupply order for the building equipment based on a result of the predictive optimization. The resupply manager is configured to determine a transmission time at which to transmit the parts resupply order to a parts supplier. The resupply manager is configured to transmit the parts resupply order to the parts supplier at the transmission time.

    Model predictive maintenance system for performing maintenance as soon as economically viable

    公开(公告)号:US11409274B2

    公开(公告)日:2022-08-09

    申请号:US16697099

    申请日:2019-11-26

    Abstract: A model predictive maintenance system for building equipment that performs operations including obtaining an objective function defining a cost of operating and performing maintenance on the equipment as a function of operating and maintenance decisions for time steps within a time period of a life cycle horizon and including performing a first computation of the objective function under a first scenario where maintenance is performed on the equipment during the period, a result of the first computation indicating a first cost. The operations include performing a second computation under a second scenario in which maintenance is not performed during the period, a result indicating a second cost. The operations include initiating an automated action to perform maintenance on the equipment in accordance with decisions defined by the first scenario if the first cost is less than or equal to the second cost.

    Systems and methods for commissioning building equipment with mobile server

    公开(公告)号:US11409253B2

    公开(公告)日:2022-08-09

    申请号:US16719611

    申请日:2019-12-18

    Abstract: A mobile commissioning device for commissioning building equipment in or around a building includes a processing circuit. The processing circuit includes a processor and memory storing instructions executed by the processor. The processing circuit establishes location of the mobile commissioning device and building equipment within the building. The processing circuit also detects and receives commissioning data from building equipment located within a building zones of the building as the mobile commissioning device moves between the building zones. The processing circuit further stores the commissioning data from the building equipment in a temporary commissioning database within the mobile commissioning device and transmits the commissioning data from the temporary commissioning database to a permanent server.

    Systems and methods for maintaining occupant comfort for various environmental conditions

    公开(公告)号:US11281173B2

    公开(公告)日:2022-03-22

    申请号:US16703514

    申请日:2019-12-04

    Abstract: An environmental control system of a building including a first building device operable to affect environmental conditions of a zone of the building by providing a first input to the zone. The system includes a second building device operable to independently affect a subset of the environmental conditions by providing a second input to the zone and further includes a controller including a processing circuit. The processing circuit is configured to perform an optimization to generate control decisions for the building devices. The optimization is performed subject to constraints for the environmental conditions and uses a predictive model that predicts an effect of the control decisions on the environmental conditions. The processing circuit is configured to operate the building devices in accordance with the control decisions.

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