ADVANCED HUMAN-MACHINE INTERFACE FOR COLLABORATIVE BUILDING CONTROL
    1.
    发明申请
    ADVANCED HUMAN-MACHINE INTERFACE FOR COLLABORATIVE BUILDING CONTROL 有权
    高级人机界面进行协同建筑控制

    公开(公告)号:US20130110295A1

    公开(公告)日:2013-05-02

    申请号:US13651510

    申请日:2012-10-15

    IPC分类号: G05B13/02

    摘要: A system for collaborative energy management and control in a building, including an energy management controller, one or more occupant HMIs that supports two-way communication between building occupants and a facility manager, and between building occupants and the energy management controller, and a facility manager HMI that supports two-way communication between the facility manager and the building occupants, and between the facility manager and the energy management controller, in which the occupant HMI allows building occupants to provide temperature preferences to the facility manager and the energy management controller, and the facility manager HMI allows the facility manager to configure an energy policy for the building as a set of rules and to view occupants' aggregated temperature preferences, and the energy management controller determines an optimum temperature range that resolves conflicting occupant temperature preferences and occupant temperature preferences that conflict with the facility manager's energy policy for the building.

    摘要翻译: 一种建筑物中协同能源管理和控制的系统,包括能量管理控制器,支持建筑物占用者与设施管理者之间以及建筑物占用者与能量管理控制器之间的双向通信的一个或多个乘员HMI,以及设施 管理员HMI,其支持设施经理和建筑物居住者之间以及设施经理和能量管理控制器之间的双向通信,其中乘员HMI允许建筑物居住者向设施经理和能量管理控制器提供温度偏好, 设备经理人机界面允许设施管理人员将建筑物的能源政策作为一组规则进行配置,并查看占用者的聚合温度偏好,能源管理控制器确定最佳温度范围,以解决相互冲突的乘客温度偏好和乘员温度 参与的偏好 违反了设施经理对建筑物的能源政策。

    TABLET BASED DISTRIBUTED INTELLIGENT LOAD MANAGEMENT
    3.
    发明申请
    TABLET BASED DISTRIBUTED INTELLIGENT LOAD MANAGEMENT 有权
    基于分组的分布式智能负载管理

    公开(公告)号:US20150241895A1

    公开(公告)日:2015-08-27

    申请号:US14423718

    申请日:2013-08-23

    发明人: Yan Lu Siyuan Zhou

    IPC分类号: G05F1/66 G05B15/02 H04L29/08

    摘要: A facility is connected to an electricity utility and is responsive to Demand Response Events. A plurality of devices is each individually connected to the electricity grid via an addressable switch connected to a secure network that is enabled to be individually switched off by a server. An occupant of a room in control of the plurality of devices provides via a Human Machine Interface on a tablet a preferred order of switching off the plurality of devices in case of a Demand Response Event. A configuration file based at least partially on the preferred order and on a severity of the Demand Response Events determines which devices which of the plurality devices will be switched off. The server accesses the configuration file and switches off the devices included in the configuration file.

    摘要翻译: 设施连接到电力公司,并响应需求响应事件。 多个设备各自经由可连接到安全网络的可寻址交换机单独地连接到电网,该安全网络能够由服务器单独关闭。 控制多个设备的房间的乘客通过人机界面在平板电脑上提供在需求响应事件的情况下关闭多个设备的优选顺序。 至少部分地基于优先顺序和需求响应事件的严重性的配置文件确定哪个设备将关闭多个设备。 服务器访问配置文件,关闭配置文件中包含的设备。

    Social Learning SoftThermostat for Commercial Buildings
    4.
    发明申请
    Social Learning SoftThermostat for Commercial Buildings 有权
    商业建筑学社会学习软石

    公开(公告)号:US20150247646A1

    公开(公告)日:2015-09-03

    申请号:US14426851

    申请日:2013-09-12

    IPC分类号: F24F11/00 G05B15/02

    摘要: A building has climate control equipment which controls a temperature at different locations. Different locations may be in different control zones controlled by different control devices. An occupant of a location submits a desired location temperature through a user interface on a computing device to a networked server. Setting of a desired temperature is constrained by energy saving policies and by conditions of surrounding locations. An arbitrator device determines based on constraints a new temperature setting. The new temperature setting is accompanied by an energy saving feedback. The occupants confirms the new setting. A climate control device is instructed to apply a device setting to achieve the new temperature. A climate profile of the occupant is learned from previous temperature settings by the occupant.

    摘要翻译: 一座建筑物具有控制不同地点温度的气候控制设备。 不同的位置可能位于由不同控制装置控制的不同控制区域中。 位置的乘客通过计算设备上的用户界面向联网的服务器提交期望的位置温度。 所需温度的设定受到节能政策和周边环境的限制。 仲裁器装置根据约束确定新的温度设置。 新的温度设置伴随着节能反馈。 乘客确认了新的环境。 指示气候控制装置施加装置设定以达到新的温度。 从乘客的以前的温度设置中了解到乘客的气候特征。

    Method For Energy Demand Management In A Production Flow Line
    6.
    发明申请
    Method For Energy Demand Management In A Production Flow Line 审中-公开
    生产流程中能源需求管理方法

    公开(公告)号:US20150227138A1

    公开(公告)日:2015-08-13

    申请号:US14426170

    申请日:2013-08-23

    IPC分类号: G05B19/418

    摘要: A method for energy demand management in a production flow line having a plurality of stations. The method includes calculating a slack time for the production flow line or a selected station and determining an option of operation mode flexibility. In addition the method includes performing a feasibility analysis of the option and providing a solution based on an elasticity measure. The method is supported by a mean value analysis technique and discrete event simulation. The method provides an automated energy auditing and analysis tool in a production system.

    摘要翻译: 一种具有多个站的生产流水线中的能量需求管理方法。 该方法包括计算生产流水线或所选站的松弛时间,并确定操作模式灵活性的选项。 另外,该方法包括执行该选项的可行性分析并且基于弹性度量提供解决方案。 该方法由平均值分析技术和离散事件模拟支持。 该方法在生产系统中提供了自动化能源审计和分析工具。

    Advanced human-machine interface for collaborative building control
    7.
    发明授权
    Advanced human-machine interface for collaborative building control 有权
    先进的人机界面协同建筑控制

    公开(公告)号:US09104183B2

    公开(公告)日:2015-08-11

    申请号:US13651510

    申请日:2012-10-15

    IPC分类号: G05B13/02 H04L12/28 H04L12/24

    摘要: A system for collaborative energy management and control in a building, including an energy management controller, one or more occupant HMIs that supports two-way communication between building occupants and a facility manager, and between building occupants and the energy management controller, and a facility manager HMI that supports two-way communication between the facility manager and the building occupants, and between the facility manager and the energy management controller, in which the occupant HMI allows building occupants to provide temperature preferences to the facility manager and the energy management controller, and the facility manager HMI allows the facility manager to configure an energy policy for the building as a set of rules and to view occupants' aggregated temperature preferences, and the energy management controller determines an optimum temperature range that resolves conflicting occupant temperature preferences and occupant temperature preferences that conflict with the facility manager's energy policy for the building.

    摘要翻译: 一种建筑物中协同能源管理和控制的系统,包括能量管理控制器,支持建筑物占用者与设施管理者之间以及建筑物占用者与能量管理控制器之间的双向通信的一个或多个乘员HMI,以及设施 管理员HMI,其支持设施经理和建筑物居住者之间以及设施经理和能量管理控制器之间的双向通信,其中乘员HMI允许建筑物居住者向设施经理和能量管理控制器提供温度偏好, 设备经理人机界面允许设施管理人员将建筑物的能源政策作为一组规则进行配置,并查看占用者的聚合温度偏好,能源管理控制器确定最佳温度范围,以解决相互冲突的乘客温度偏好和乘员温度 参与的偏好 违反了设施经理对建筑物的能源政策。

    Social learning softthermostat for commercial buildings

    公开(公告)号:US09933796B2

    公开(公告)日:2018-04-03

    申请号:US14426851

    申请日:2013-09-12

    IPC分类号: G05D23/19 F24F11/00 G05B15/02

    摘要: A building has climate control equipment which controls a temperature at different locations. Different locations may be in different control zones controlled by different control devices. An occupant of a location submits a desired location temperature through a user interface on a computing device to a networked server. Setting of a desired temperature is constrained by energy saving policies and by conditions of surrounding locations. An arbitrator device determines based on constraints a new temperature setting. The new temperature setting is accompanied by an energy saving feedback. The occupants confirms the new setting. A climate control device is instructed to apply a device setting to achieve the new temperature. A climate profile of the occupant is learned from previous temperature settings by the occupant.

    Adaptive demand response based on distributed load control
    9.
    发明授权
    Adaptive demand response based on distributed load control 有权
    基于分布式负载控制的自适应需求响应

    公开(公告)号:US09450408B2

    公开(公告)日:2016-09-20

    申请号:US13644404

    申请日:2012-10-04

    IPC分类号: H02J3/14

    摘要: Adaptive demand response based on distributed load control may be provided. A demand response request indicative of a demand response event for an area may be received. A maximum power consumption for the area during the demand response event may be determined based on the demand response request. One or more set points for the area during the demand response event may be determined prior to the demand response event. The one or more set points are determined based on the maximum power consumption. Prior to or during the demand response event, a real-time power consumption for the area may be calculated. When the real-time power consumption exceeds the maximum power consumption, one or more loads in the area may be controlled to maintain the real-time power consumption at or below the maximum power consumption.

    摘要翻译: 可以提供基于分布式负载控制的自适应需求响应。 可以接收指示区域的需求响应事件的请求响应请求。 可以根据需求响应请求来确定在需求响应事件期间该区域的最大功耗。 在需求响应事件期间,该区域的一个或多个设定点可以在需求响应事件之前确定。 基于最大功率消耗确定一个或多个设定点。 在需求响应事件之前或期间,可以计算该区域的实时功率消耗。 当实时功耗超过最大功耗时,可以控制该区域中的一个或多个负载以将实时功耗维持在或低于最大功耗。

    ON-LINE OPTIMIZATION SCHEME FOR HVAC DEMAND RESPONSE
    10.
    发明申请
    ON-LINE OPTIMIZATION SCHEME FOR HVAC DEMAND RESPONSE 审中-公开
    用于HVAC需求响应的在线优化方案

    公开(公告)号:US20150253027A1

    公开(公告)日:2015-09-10

    申请号:US14433860

    申请日:2013-10-10

    IPC分类号: F24F11/00 G05B13/02

    摘要: A computer-implemented method of optimizing demand-response (DR) of a heating, ventilation, and air-conditioning (HVAC) system of a building, includes determining (30, 31, 32) a value of an objective function Fij of a HVAC system for each of a plurality of DR strategies j for each of a plurality of weather patterns i that is a weighted sum of an energy cost of the HVAC system and a thermal comfort loss of the HVAC system, assigning (33, 34, 35, 36) a likelihood score Li,j to each of a selected subset of near-optimal DR strategies j for each weather pattern i, and selecting (37, 38) those near-optimal DR strategies with large overall likelihood scores Lj to create an optimal strategy pool of DR strategies. An optimal strategy pool can be searched (39) in real-time for an optimal DR strategy for a given weather pattern.

    摘要翻译: 一种优化建筑物的供暖,通风和空调(HVAC)系统的需求响应(DR)的计算机实现方法包括确定(30,31,32)HVAC的目标函数Fij的值 系统,用于多个天气图案i中的每一个的多个DR策略j中的每一个,其是HVAC系统的能量成本和HVAC系统的热舒适损失的加权和, 36)对于每个天气模式i,对于最佳DR策略j的选定子集中的每一个,可能性得分Li,j,并且选择(37,38)具有较大总体似然分数Lj的近似最优DR策略以创建最优 DR战略策略库。 可以实时搜索最优策略池(39),以获得针对给定天气模式的最佳DR策略。