SEP Collaborative: A Unified Framework for Sustainability in Buildings through Human Mediation

SEP 协作：通过人类调解实现建筑可持续发展的统一框架

• 批准号: 1230687
• 负责人: Sandipan Mishra
• 金额: $ 67万
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-15 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1230687&HistoricalAwards=false
• 关键词: SEP; Collaborative; Unified; Framework; Sustainability

The NSF Sustainable Energy pathways (SEP) Program, under the umbrella of the NSF Science, Engineering and Education for Sustainability (SEES) initiative, will support the research program of Prof. Suman Banerjee and co-workers at the University of Wisconsin-Madison, and Prof. Sandipan Mishra and co-workers at Rensselaer Polytechnic Institute. The project takes a holistic approach to develop a framework for unified control of commercial and institutional buildings that reduces overall energy consumption through human mediation. The framework consists of multiple components: sensor networks deployed in buildings that will monitor and measure various parameters, e.g., energy, lighting, temperature, humidity, etc. that lead to efficient models; software components that allow human occupants to interact and provide feedback; and actuation outcomes that allow control of building components, such as heating, cooling, airflow and lighting sub-systems and optimize these controls jointly. The novel aspect of this effort is that it combines the following elements in the feedback control of building energy systems: (i) Forecasting of external variables such as energy pricing, energy demand, and weather, as can be determined from the smart grid or the web; (ii) Predicting internal variables such as occupancy, user comfort preferences, and state variables as obtained from predictive dynamic models; (iii) Extracting and then exploiting pattern repetition (daily, weekly, and yearly cycles in temperature, occupancy, usage etc.) in a computationally efficient fashion, an (iv) Incorporating human and psychological factors in the model, by obtaining and processing human-in-the-loop feedback effectively. Through the design of the right human-machine interfaces, creating appropriate incentives for human participation, effective feedback collection, and integrated processing of sensory measurements (obtained from an in-building sensing network) and human inputs, the project aims at providing a by-demand comfort level that is mediated by end-users through their personal communication "apps". This approach differs significantly from the current research and practices of modeling, controlling and optimizing building energy sub-systems in isolation, and providing by-default comfort level everywhere in the building independent of occupancy level and demand level. The project explores techniques that can provide major savings in energy consumption in commercial and institutional buildings leading towards a more sustainable design. The educational component of the project includes a laboratory-based curriculum which includes a cross-disciplinary capstone course, "Smart Energy Laboratory", suitable enhancements to existing courses, and co-development of new campus-wide sustainability certificate programs. Further, multiple campus dormitories and institutional buildings are being incorporated as "living laboratories," thus educating their occupants about green consumption practices. Other aspects of the project provide interactions with local high schools as well as related industry.A significant fraction of energy consumption in the modern world is within buildings. This project is focused on the development of an intelligent control system to manage energy consumption of buildings by actively incorporating human mediation in this process. The unique aspect of this project includes mechanisms by which multiple tenants of a commercial building can participate in the energy management process and allow the various control and actuation functions to efficiently meet their collective needs. The goal is to develop a blueprint for a more sustainable design of buildings. In addition to the significant impact on energy efficiency and sufficiency of next-generation buildings, the techniques being developed here also have transformative impact on sustainability research and sustainable technologies as a whole.

NSF可持续能源道路（SEP）计划在NSF科学，可持续性工程和教育（SEES）倡议的保护下，将支持苏曼·班纳吉教授和威斯康星大学麦迪逊分校的同事的研究计划，以及桑迪帕·米什拉教授和Rensselaer polytechnic nicer polytechnic nicer polytechnic nectle sandipan Mishra教授。该项目采用一种整体方法来开发一个框架，以控制商业和机构建筑物，从而通过人类调解来减少整体能源消耗。 该框架由多个组件组成：部署在建筑物中的传感器网络，这些网络将监视和测量各种参数，例如能量，照明，温度，湿度等，从而导致有效的模型；允许人类乘员互动并提供反馈的软件组件；以及允许控制建筑组件的驱动结果，例如加热，冷却，气流和照明子系统，并共同优化这些控件。这项工作的新颖方面是，它结合了建筑能源系统反馈控制中的以下元素：（i）预测外部变量，例如能源价格，能源需求和天气，可以从智能电网或网络中确定； （ii）预测从预测动态模型获得的内部变量，例如占用率，用户舒适性偏好和状态变量； （iii）以计算高效的方式提取并利用模式重复（每天，每周和每年的周期，占用，使用，用法等），通过获得和处理人类和心理因素的（IV），通过获得和处理人类在循环的反馈中有效地将人类和心理因素纳入模型。通过设计正确的人机界面，为人类参与，有效的反馈收集和对感官测量的集成处理（从建造内部传感网络获得）和人类投入的综合处理，该项目旨在提供由最终用户通过其个人通信“应用程序”介导的副词舒适度。这种方法与当前的建模，控制和优化建筑能源子系统的研究和实践有很大不同，并在建筑物中无处不在占用水平和需求水平的建筑物中提供了一定默认的舒适度​​。该项目探讨了可以在商业和机构建筑中为更可持续设计的商业和机构建筑中节省大量能源的技术。该项目的教育组成部分包括一个基于实验室的课程，其中包括跨学科的顶峰课程，“智能能源实验室”，对现有课程的合适增强以及新校园范围内的可持续性证书计划的共同开发。此外，正在将多个校园宿舍和机构建筑物纳入为“活实验室”，从而教育其居民有关绿色消费实践的实践。该项目的其他方面提供了与当地高中以及相关行业的互动。现代世界中的大量能源消耗在建筑物内。该项目的重点是开发智能控制系统，以通过在此过程中积极纳入人类调解来管理建筑物的能源消耗。该项目的独特方面包括商业建筑的多个租户可以参与能源管理过程的机制，并允许各种控制和驱动功能有效地满足其集体需求。目的是为建筑物的更可持续设计开发蓝图。除了对下一代建筑的能源效率和充分性的重大影响外，此处开发的技术还对整个可持续性研究和可持续技术都具有变革性的影响。