CSR: Small:Collaborative Research: System Support for Green Homes

CSR：小型：合作研究：绿色家园的系统支持

• 批准号: 1305099
• 负责人: Nilanjan Banerjee
• 金额: $ 19.77万
• 依托单位: University of Maryland Baltimore County
• 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 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1305099&HistoricalAwards=false
• 关键词: CSR; Small; Collaborative; Research; System

Encouraging broader adoption of renewable energy sources is key to minimizing our dependence on the electric grid. Though installation of solar panels at homes is increasingly common, the process of managing the energy they generate is both manual and ad hoc. In this work, the PIs are building an infrastructure for data collection and analysis of energy generation, energy consumption, and user behavior in green homes; and an an integrated approach to green home energy management validated using a novel recommendation-based evaluation platform. Using a custom-built measurement infrastructure, the project conducts a broad study of homes powered by a variety of renewable sources. The study examines both energy generation by renewable sources as well as how and why energy is consumed by a variety of devices. The results inform the design of a holistic control system that matches predicted supply with demand of a distributed set of devices in the home. Moreover, the system is being deployed in a few homes and evaluated using a recommendation system implemented as a mobile application that suggests when users should run devices.This project supports research critical to encouraging adoption of more environmentally responsible practices in the home and enables a collaboration between PI Banerjee, who teaches at an EPSCoR institution, and PI Rollins, who teaches at an undergraduate institution. Further, the project is developing a CS1 course that will increase awareness of green energy concepts by introducing computing through collection and analysis of data on energy consumption practices.

鼓励更广泛地采用可再生能源是最大限度地减少我们对电网依赖的关键。尽管家庭安装太阳能电池板越来越普遍，但管理太阳能电池板产生的能源的过程既是手动的也是临时的。在这项工作中，PI 正在构建一个基础设施，用于收集和分析绿色家庭的能源产生、能源消耗和用户行为的数据；以及使用基于推荐的新颖评估平台验证的绿色家庭能源管理综合方法。该项目使用定制的测量基础设施，对由各种可再生能源供电的家庭进行了广泛的研究。该研究研究了可再生能源的发电方式以及各种设备消耗能源的方式和原因。结果为整体控制系统的设计提供了依据，该系统将预测的供应与家庭中分布式设备的需求相匹配。此外，该系统正在一些家庭中部署，并使用作为移动应用程序实现的推荐系统进行评估，该系统建议用户何时应该运行设备。该项目支持对于鼓励在家庭中采用更环保的做法至关重要的研究，并实现协作PI Banerjee（在 EPSCoR 机构任教）和 PI Rollins（在本科机构任教）之间。此外，该项目正在开发一门 CS1 课程，通过收集和分析能源消耗实践数据来引入计算，从而提高人们对绿色能源概念的认识。