I-Corps: System for Predicting Energy Demands and Energy Usage of Buildings

I-Corps：预测建筑物能源需求和能源使用的系统

• 批准号: 1439606
• 负责人: Jorge Gonzalez
• 金额: $ 5万
• 依托单位: CUNY City College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-05-01 至 2015-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1439606&HistoricalAwards=false
• 关键词: Corps; System; Predicting; Energy; Demands

This I-Corps team has developed tools to forecast energy demands for buildings in cities and for cities as a whole. The application of forecasting energy demands has high commercial value for a range of users including building operators, utility companies, data center managers, and many others to prepare their facilities and/or take advantage of energy savings. The proposed technology can have a large impact on industries and government entities that provide information, management controls, equipment, and energy resources for the built environment by accurate forecasting of their energy demands. Heavily urbanized regions offer some of the greatest opportunities for this technology to have a significant impact across this broad range of applications areas. New control and HVAC technologies may be envisioned that make use of forecasted energy information to optimize their operation.The proposed concept is based on the existing Weather Research and Forecasting (WRF) mesoscale model that considers real time temporal fluctuations of local weather and specific characteristics of buildings, neighborhoods, and cities, including building heights, materials, optical properties,HVAC and energy generation systems used, and usage by occupants. Significant energy savings could be possible due to a range of possible scenarios including but not limited to safety in the grid, anticipated preparation of large HVAC equipment based on refine forecasted weather and/or demand, better planning of production stocks, or long-term energy efficiency planning based on improved understanding of the energy activity of facilities.

I-Corps 团队开发了一些工具来预测城市建筑物和整个城市的能源需求。 预测能源需求的应用对于一系列用户具有很高的商业价值，包括建筑运营商、公用事业公司、数据中心管理者和许多其他人来准备他们的设施和/或利用节能。所提出的技术可以对通过准确预测能源需求为建筑环境提供信息、管理控制、设备和能源资源的行业和政府实体产生巨大影响。高度城市化的地区为这项技术提供了一些最好的机会，使其能够在广泛的应用领域产生重大影响。可以设想利用预测的能源信息来优化其运行的新控制和 HVAC 技术。所提出的概念基于现有的天气研究和预报 (WRF) 中尺度模型，该模型考虑了当地天气的实时时间波动以及建筑物、社区和城市的具体特征，包括建筑高度、材料、光学特性、使用的 HVAC 和能源生成系统以及居住者的使用情况。 由于一系列可能的情况，包括但不限于电网安全、基于精确预测的天气和/或需求的大型暖通空调设备的预期准备、更好的生产库存规划或基于对设施能源活动的更好理解的长期能源效率规划，可以实现显着的节能。