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公开(公告)号：US20120226635A1
公开(公告)日：2012-09-06
申请号：US13470641
申请日：2012-05-14
IPC分类号： G06Q30/00
CPC分类号： H04B3/542 , G06Q30/0613 , G06Q40/04 , G06Q50/06 , H04B2203/5433 , H04B2203/5445 , Y04S50/10
摘要： The transfer and usage of a modulated carrier signal within a power signal on a power line communication system is described. The modulated signal comprises metadata which is transmitted at a different frequency than the transmitted power. The metadata, including such elements as energy costs, providers, renewable source status and originating location, may be used by consumers to make subsequent purchasing decisions. Additionally, the energy costs of any given computer node commonly distributed in a grid architecture may be collected by a workload dispatcher in order to make more accurate cost and energy source based dispatch decisions. The consumer may be able to communicate directly back to the power provider. The use of computer-readable medium and product containing instructions that are implemented on a computer is also covered. Finally, the invention may be deployed on behalf of the consumer by a third party service provider.
摘要翻译： 描述了在电力线通信系统上的功率信号内的调制载波信号的传送和使用。 调制信号包括以与发送功率不同的频率发送的元数据。 元数据，包括能源成本，供应商，可再生能源状态和原始位置等元素，可被消费者用来作出随后的采购决策。 此外，通常分布在网格架构中的任何给定的计算机节点的能量成本可以由工作负载分派器收集，以便进行更准确的基于成本和能源的调度决策。 消费者可能能够直接回传给电力供应商。 还涵盖使用计算机可读介质和包含在计算机上实现的指令的产品。 最后，本发明可以由第三方服务提供商代表消费者部署。
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公开(公告)号：US07983798B2
公开(公告)日：2011-07-19
申请号：US12208422
申请日：2008-09-11
IPC分类号： G06F19/00
CPC分类号： H02J3/14 , H02J13/0079 , Y02B70/3225 , Y04S20/222
摘要： This invention discloses an intelligent framework for the overall management of energy allocated to components of a system. When conservation is desired or a shortage occurs, it is desirable to modulate energy to components, or to notify components and allow them to modulate themselves. It also discusses the establishment of a standard communications API between entities and components within the system. Among other things, this framework: manages device and entity enrollment into the system; provides an interface to heterogeneous devices; establishes standard communication methods between entities and components; dictates throttling to entities and components when conservation is required; and monitors energy throttling and compliance with modulate requests.
摘要翻译： 本发明公开了一种用于总体管理分配给系统组件的能量的智能框架。 当需要保护或发生短缺时，期望将能量调节到组分，或者通知组分并允许它们自身调节。 它还讨论了在系统内的实体和组件之间建立标准通信API。 这个框架除其他外：管理设备和实体注册到系统中; 为异构设备提供接口; 建立实体和组件之间的标准通信方法; 要求在需要保护时调节实体和组件; 并监控节能和遵守调节请求。
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公开(公告)号：US20100161146A1
公开(公告)日：2010-06-24
申请号：US12342428
申请日：2008-12-23
IPC分类号： G05B15/00
CPC分类号： H02J3/14 , G06Q30/06 , H02J13/0062 , H02J2003/146 , Y02B70/3225 , Y02B90/2638 , Y04S20/222 , Y04S20/224 , Y04S40/124 , Y04S50/10
摘要： This disclosure enables energy providers and users to establish variable pricing or maximum thresholds for individual components (aka appliances) or groups of components. The consumer (individual or business) defines a usage policy for each device or component which defines limits the consumer is willing to pay in a supply shortage. The usage policy also defines safety parameters as well as energy limiting capabilities of the appliance or component. Energy suppliers use this usage policy to determine which devices get managed or powered off in a shortage situation. With the detailed consumer supply and demand data available from this invention, energy providers may use economic analysis to better understand customer price sensitivity. This information will enable the provider to run simulations of different energy shortage scenarios.
摘要翻译： 本公开使能源供应商和用户能够为单个组件（也称为电器）或组件组建立可变定价或最大阈值。 消费者（个体或业务）为每个设备或组件定义使用策略，其定义消费者愿意在供应短缺中支付的限制。 使用政策还定义了设备或组件的安全参数以及能量限制能力。 能源供应商使用此使用政策来确定哪些设备在短缺情况下得到管理或关闭。 根据本发明详细的消费者供求数据，能源供应商可以使用经济分析来更好地了解客户价格敏感性。 该信息将使供应商能够运行不同能源短缺情景的模拟。
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公开(公告)号：US20100063643A1
公开(公告)日：2010-03-11
申请号：US12208510
申请日：2008-09-11
摘要： In general, the present invention discloses a policy-based decision system to manage energy consumption within a complex system, such as a municipality, business or home. These policies help to control energy usage, either for the purpose of conservation or to contend with a shortage situation. In general, policies may be set based on business requirements, including energy demand, energy supply, safety, Quality of Service (QoS) settings per object or groupings, convenience, risk analysis output or events. Among other things the approach described herein discloses the following: creation and management of policies; selection of optimal throttling plan to achieve energy conservation requirements; running of simulation scenarios based on different policies and/or reduction requirements; conducting of risk analysis for different scenarios; etc.
摘要翻译： 一般来说，本发明公开了一种基于策略的决策系统，用于管理诸如市政，商业或家庭之类的复杂系统中的能量消耗。 这些政策有助于控制能源使用，无论是为了保护目的还是为了应对短缺情况。 一般来说，可以根据业务需求，包括能源需求，能源供应，安全，每个物体或分组的服务质量（QoS）设置，方便性，风险分析输出或事件来设置策略。 除其他外，本文所述的方法披露以下内容：策略的创建和管理; 选择最佳节流计划实现节能要求; 根据不同的政策和/或减少需求运行模拟场景; 对不同情景进行风险分析; 等等
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5.发明申请公开(公告)号：US20100057641A1
公开(公告)日：2010-03-04
申请号：US12203345
申请日：2008-09-03
IPC分类号： G06F17/00
CPC分类号： G06Q10/04 , G06Q10/06 , G06Q10/063 , G06Q30/0283 , G06Q50/06 , Y02P90/82
摘要： The selection of an optimal data center location for running a computational workload is based on multiple energy criteria. The location is chosen based on multivariate and predictive analysis of total direct and indirect energy costs, and other user-defined factors. Among the direct and indirect costs are power costs and cooling costs as well as structural and other details of a given data center. Among the other factors to be considered that can have an impact on present and future costs are weather patterns, data and forecasts, availability of energy providers, and energy attributes. A forecaster factors these direct and indirect costs along with extrinsic information such as historical trends and predictive sources into a forecast which is then input to a decision engine along with user defined criteria and with anticipated compute tasks and requirements to select a final location or locations for handling the workload.
摘要翻译： 选择用于运行计算工作负载的最佳数据中心位置是基于多个能量标准。 基于对直接和间接能源总成本以及其他用户定义因素的多变量和预测分析来选择位置。 直接和间接成本包括电力成本和冷却成本以及给定数据中心的结构和其他细节。 考虑到可能对当前和未来成本产生影响的其他因素包括天气模式，数据和预测，能源供应商的可用性和能源属性。 预报员将这些直接和间接成本与外部信息（例如历史趋势和预测来源）相关联，将其输入到预测中，然后将预测输入到决策引擎以及用户定义的标准以及预期的计算任务和要求，以选择最终位置或位置 处理工作量。
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公开(公告)号：US20100057625A1
公开(公告)日：2010-03-04
申请号：US12203366
申请日：2008-09-03
CPC分类号： G06Q30/06 , G06Q30/0206 , G06Q30/08 , G06Q50/188
摘要： A consumer initiated automated and dynamic negotiation enables the consumer to obtain more beneficial rates and/or other terms between the consumer and one or more energy providers. The negotiation is based on anticipated computational processing requirements of the consumer, and the current energy costs being offered by each provider. Other elements such as the ability of the provider to timely supply the energy and the differential between the costs of traditional and green energy may also be factored in. The results of the negotiation can produce a shifting of all or part of the workload to another provider or an alternative geographical location to capitalize on lower power rates or conditions of delivery. The negotiation may be based on an auction between more than one competing energy supplier.
摘要翻译： 消费者启动了自动化和动态的谈判，使消费者能够在消费者和一个或多个能源供应商之间获得更有利的价格和/或其他条款。 谈判是基于消费者的预期计算处理要求，以及每个提供商提供的当前能源成本。 供应商及时提供能源的能力以及传统和绿色能源成本之间差异的其他要素也可能被考虑在内。谈判结果可能导致全部或部分工作量转移到另一个供应商 或替代地理位置，以利用较低的功率率或交付条件。 谈判可能是基于一个竞争性能源供应商之间的拍卖。
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7.发明授权公开(公告)号：US08086544B2
公开(公告)日：2011-12-27
申请号：US12203345
申请日：2008-09-03
CPC分类号： G06Q10/04 , G06Q10/06 , G06Q10/063 , G06Q30/0283 , G06Q50/06 , Y02P90/82
摘要： The selection of an optimal data center location for running a computational workload is based on multiple energy criteria. The location is chosen based on multivariate and predictive analysis of total direct and indirect energy costs, and other user-defined factors. Among the direct and indirect costs are power costs and cooling costs as well as structural and other details of a given data center. Among the other factors to be considered that can have an impact on present and future costs are weather patterns, data and forecasts, availability of energy providers, and energy attributes. A forecaster factors these direct and indirect costs along with extrinsic information such as historical trends and predictive sources into a forecast which is then input to a decision engine along with user defined criteria and with anticipated compute tasks and requirements to select a final location or locations for handling the workload.
摘要翻译： 选择用于运行计算工作负载的最佳数据中心位置是基于多个能量标准。 基于对直接和间接能源总成本以及其他用户定义因素的多变量和预测分析来选择位置。 直接和间接成本包括电力成本和冷却成本以及给定数据中心的结构和其他细节。 考虑到可能对当前和未来成本产生影响的其他因素包括天气模式，数据和预测，能源供应商的可用性和能源属性。 预报员将这些直接和间接成本与外部信息（例如历史趋势和预测来源）相关联，将其输入到预测中，然后将预测输入到决策引擎以及用户定义的标准以及预期的计算任务和要求，以选择最终位置或位置 处理工作量。
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公开(公告)号：US08571721B2
公开(公告)日：2013-10-29
申请号：US13470641
申请日：2012-05-14
IPC分类号： G05D11/00
CPC分类号： H04B3/542 , G06Q30/0613 , G06Q40/04 , G06Q50/06 , H04B2203/5433 , H04B2203/5445 , Y04S50/10
摘要： The transfer and usage of a modulated carrier signal within a power signal on a power line communication system is described. The modulated signal comprises metadata which is transmitted at a different frequency than the transmitted power. The metadata, including such elements as energy costs, providers, renewable source status and originating location, may be used by consumers to make subsequent purchasing decisions. Additionally, the energy costs of any given computer node commonly distributed in a grid architecture may be collected by a workload dispatcher in order to make more accurate cost and energy source based dispatch decisions. The consumer may be able to communicate directly back to the power provider. The use of computer-readable medium and product containing instructions that are implemented on a computer is also covered. Finally, the invention may be deployed on behalf of the consumer by a third party service provider.
摘要翻译： 描述了在电力线通信系统上的功率信号内的调制载波信号的传送和使用。 调制信号包括以与发送功率不同的频率发送的元数据。 元数据，包括能源成本，供应商，可再生能源状态和原始位置等元素，可被消费者用来作出随后的采购决策。 此外，通常分布在网格架构中的任何给定的计算机节点的能量成本可以由工作负载分派器收集，以便进行更准确的基于成本和能源的调度决策。 消费者可能能够直接回传给电力供应商。 还涵盖使用计算机可读介质和包含在计算机上实现的指令的产品。 最后，本发明可以由第三方服务提供商代表消费者部署。
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公开(公告)号：US20100064155A1
公开(公告)日：2010-03-11
申请号：US12208534
申请日：2008-09-11
IPC分类号： G06F1/28
CPC分类号： G06F1/3203 , G06F8/34
摘要： Under the present solution, dependencies and relationships of objects are stored and are updatable by consumers and optionally manufacturers through a local UI or web interface. These dependencies and relationships are stored in a “collection profile” which describes the capabilities of objects. When a request to reduce energy is received the system can query the collection profile to determine the downstream effect of reducing energy to a single object. The collection profile will identify which other objects rely on that object and would also need to have energy reduced. Being able to identify these linkages and effects of changes across the system will be critical for good energy management.
摘要翻译： 在目前的解决方案中，对象的依赖关系和关系被存储，并可由消费者和可选制造商通过本地UI或Web界面进行更新。 这些依赖关系和关系存储在描述对象功能的“集合简档”中。 当接收到减少能量的请求时，系统可以查询收集简档以确定将能量减少到单个对象的下游效应。 集合简档将标识哪些其他对象依赖于该对象，并且还需要减少能量。 能够识别这些联系和系统变化的影响对于良好的能源管理至关重要。
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10.发明授权Framework for distribution of computer workloads based on real-time energy costs 有权基于实时能源成本分配计算机工作负载的框架公开(公告)号：US08214843B2
公开(公告)日：2012-07-03
申请号：US12203329
申请日：2008-09-03
IPC分类号： G06F9/50
CPC分类号： G06F9/5094 , Y02D10/22
摘要： Energy costs for conducting compute tasks at diverse data center sites are determined and are then used to route such tasks in a most efficient manner. A given compute task is first evaluated to predict potential energy consumption. The most favorable real-time energy costs for the task are determined at the various data center sites. The likely time period of the more favorable cost as well as the stability at the data center are additional factors. A workload dispatcher then forwards the selected compute task to the data center having the most favorable real-time energy costs. Among the criteria used to select the most favorable data center is a determination that the proposed center presently has the resources for the task.
摘要翻译： 确定在不同数据中心站点进行计算任务的能源成本，然后用于以最有效的方式路由这些任务。 首先评估给定的计算任务以预测潜在的能量消耗。 在各种数据中心站点确定任务中最有利的实时能源成本。 更有利的成本的时间段和数据中心的稳定性是额外的因素。 然后，工作负载分派器将所选择的计算任务转发到具有最佳实时能量成本的数据中心。 用于选择最有利的数据中心的标准是确定拟议中心目前拥有该任务的资源。
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