CPS: Synergy: Collaborative Research: SMARTER - Smart Manager for Adaptive and Real-Time Decisions in Building ClustERs

CPS：协同：协作研究：SMARTER - 构建集群中自适应和实时决策的智能管理器

• 批准号: 1239257
• 负责人: Teresa Wu
• 金额: $ 40万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2016-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1239257&HistoricalAwards=false
• 关键词: CPS; Synergy; Collaborative; Research; SMARTER; CPS; Synergy; Collaborative; Research; SMARTER

1239257 (Wu). Traditionally, buildings have been viewed as mere energy consumers; however, with the new power grid infrastructure and distributed energy resources, buildings can not only consume energy, but they can also output energy. As a result, this project removes traditional boundaries between buildings in the same cluster or between the cluster and power grids, transforming individual smart buildings into NetZero building clusters enabled by cyber-support tools. In this research, a synergistic decision framework is established for temporally, spatially distributed building clusters to work as an adaptive and robust system within a smart grid. The framework includes innovative algorithms and tools for building energy modeling, intelligent data fusion, decentralized decisions and adaptive decisions to address theoretical and practical challenges in next-generation building systems. The research develops cyber-physical engineering tools for demand side load management which has been identified as a major challenge by energy industries. It fundamentally transforms the current centralized and uni-directional power distribution business model to a decentralized and multi-directional power sharing and distribution business model, reducing overall energy consumption and allowing for optimal decisions in changing operation environments. Education and outreach efforts include developing novel educational modules disseminated at the K-12 levels and through the ASEE eGFI repository. Further educational impact occurs through integration with multiple undergraduate and graduate courses at each institution, and with community service groups. Impact is also expanded to the broader energy industry and the operation of healthcare delivery and urban transportation systems through our industry collaborations. http://swag.engineering.asu.edu/ 1239247 (Wen). Traditionally, buildings have been viewed as mere energy consumers; however, with the new power grid infrastructure and distributed energy resources, buildings can not only consume energy, but they can also output energy. As a result, this project removes traditional boundaries between buildings in the same cluster or between the cluster and power grids, transforming individual smart buildings into NetZero building clusters enabled by cyber-support tools. In this research, a synergistic decision framework is established for temporally, spatially distributed building clusters to work as an adaptive and robust system within a smart grid. The framework includes innovative algorithms and tools for building energy modeling, intelligent data fusion, decentralized decisions and adaptive decisions to address theoretical and practical challenges in next-generation building systems. The research develops cyber-physical engineering tools for demand side load management which has been identified as a major challenge by energy industries. It fundamentally transforms the current centralized and uni-directional power distribution business model to a decentralized and multi-directional power sharing and distribution business model, reducing overall energy consumption and allowing for optimal decisions in changing operation environments. Education and outreach efforts include developing novel educational modules disseminated at the K-12 levels and through the ASEE eGFI repository. Further educational impact occurs through integration with multiple undergraduate and graduate courses at each institution, and with community service groups. Impact is also expanded to the broader energy industry and the operation of healthcare delivery and urban transportation systems through our industry collaborations. http://swag.engineering.asu.edu/ 1239093 (Lewis). Traditionally, buildings have been viewed as mere energy consumers; however, with the new power grid infrastructure and distributed energy resources, buildings can not only consume energy, but they can also output energy. As a result, this project removes traditional boundaries between buildings in the same cluster or between the cluster and power grids, transforming individual smart buildings into NetZero building clusters enabled by cyber-support tools. In this research, a synergistic decision framework is established for temporally, spatially distributed building clusters to work as an adaptive and robust system within a smart grid. The framework includes innovative algorithms and tools for building energy modeling, intelligent data fusion, decentralized decisions and adaptive decisions to address theoretical and practical challenges in next-generation building systems. The research develops cyber-physical engineering tools for demand side load management which has been identified as a major challenge by energy industries. It fundamentally transforms the current centralized and uni-directional power distribution business model to a decentralized and multi-directional power sharing and distribution business model, reducing overall energy consumption and allowing for optimal decisions in changing operation environments. Education and outreach efforts include developing novel educational modules disseminated at the K-12 levels and through the ASEE eGFI repository. Further educational impact occurs through integration with multiple undergraduate and graduate courses at each institution, and with community service groups. Impact is also expanded to the broader energy industry and the operation of healthcare delivery and urban transportation systems through our industry collaborations.

1239257（WU）。 传统上，建筑物被视为仅仅能源消费者。但是，借助新的电网基础设施和分布式能源，建筑物不仅可以消耗能源，而且可以输出能源。结果，该项目删除了同一集群或群集和电网之间的建筑物之间的传统界限，将单个智能建筑物转换为由网络支持工具启用的Netzero建筑集群。在这项研究中，建立了一个协同的决策框架，用于时间上，空间分布的建筑群集，以作为智能网格中的自适应和健壮的系统工作。 该框架包括用于构建能源建模的创新算法和工具，智能数据融合，分散的决策和自适应决策，以应对下一代建筑系统中的理论和实际挑战。 该研究开发了用于需求侧负荷管理的网络物理工程工具，该工具已被能源行业确定为主要挑战。它从根本上将当前的集中式和单向电源分销业务模型转变为分散和多向电源共享和分销业务模型，从而减少了整体能源消耗，并允许在不断变化的操作环境中做出最佳决策。教育和推广工作包括开发在K-12级别和ASEE EGFI存储库中传播的新型教育模块。通过与每个机构的多个本科和研究生课程以及与社区服务组的多个本科和研究生课程的融合，会产生进一步的教育影响。影响还扩大到更广泛的能源行业以及通过我们的行业合作的医疗保健交付和城市运输系统的运行。 http://swag.engineering.asu.edu/ 1239247（wen）。 传统上，建筑物被视为仅仅能源消费者。但是，借助新的电网基础设施和分布式能源，建筑物不仅可以消耗能源，而且可以输出能源。结果，该项目删除了同一集群或群集和电网之间的建筑物之间的传统界限，将单个智能建筑物转换为由网络支持工具启用的Netzero建筑集群。在这项研究中，建立了一个协同的决策框架，用于时间上，空间分布的建筑群集，以作为智能网格中的自适应和健壮的系统工作。该框架包括用于构建能源建模的创新算法和工具，智能数据融合，分散的决策和自适应决策，以应对下一代建筑系统中的理论和实际挑战。该研究开发了用于需求侧负荷管理的网络物理工程工具，该工具已被能源行业确定为主要挑战。它从根本上将当前的集中式和单向电源分销业务模型转变为分散和多向电源共享和分销业务模型，从而减少了整体能源消耗，并允许在不断变化的操作环境中做出最佳决策。教育和推广工作包括开发在K-12级别和ASEE EGFI存储库中传播的新型教育模块。通过与每个机构的多个本科和研究生课程以及与社区服务组的多个本科和研究生课程的融合，会产生进一步的教育影响。影响还扩大到更广泛的能源行业以及通过我们的行业合作的医疗保健交付和城市运输系统的运行。 http://swag.engineering.asu.edu/ 1239093（刘易斯）。 传统上，建筑物被视为仅仅能源消费者。但是，借助新的电网基础设施和分布式能源，建筑物不仅可以消耗能源，而且可以输出能源。结果，该项目删除了同一集群或群集和电网之间的建筑物之间的传统界限，将单个智能建筑物转换为由网络支持工具启用的Netzero建筑集群。在这项研究中，建立了一个协同的决策框架，用于时间上，空间分布的建筑群集，以作为智能网格中的自适应和健壮的系统工作。该框架包括用于构建能源建模的创新算法和工具，智能数据融合，分散的决策和自适应决策，以应对下一代建筑系统中的理论和实际挑战。该研究开发了用于需求侧负荷管理的网络物理工程工具，该工具已被能源行业确定为主要挑战。它从根本上将当前的集中式和单向电源分销业务模型转变为分散和多向电源共享和分销业务模型，从而减少了整体能源消耗，并允许在不断变化的操作环境中做出最佳决策。教育和推广工作包括开发在K-12级别和ASEE EGFI存储库中传播的新型教育模块。通过与每个机构的多个本科和研究生课程以及与社区服务组的多个本科和研究生课程的融合，会产生进一步的教育影响。影响还扩大到更广泛的能源行业以及通过我们的行业合作的医疗保健交付和城市运输系统的运行。