I-Corps: Improving Energy Management using Surface Temperature Forecasts

不同气候带的城市供暖和能源需求预测对能源管理至关重要。准确预测电力需求将有助于能源公司、金融公司、保险公司和地方政府管理能源弹性。这个I-Corps团队建议开发一个网络服务，预测大城市地区的地表温度、电力需求和能源效率。基于网络的高分辨率（10米）皮肤温度预测服务将为电力负荷预测、建筑能源使用效率评估和能源保险提供非常有用的输入。预测将在每日，每周，每月和每年的基础上。这些预测可以直接用于指导能源分配管理，提高电网的效率、安全性和弹性。确定能源工业目前使用的能源负荷预测方法及其局限性是本项目的首要优先事项。这个I-Corps项目有两个目标：市场评估和产品开发。对于市场评估，该团队将通过100多个市场访谈，以及通过原型产品演示的开发和合作伙伴审查来评估能源行业的需求和需求。在产品开发方面，利用NOAA全球预报系统（GFS）天气预报模型、NASA卫星遥感观测和先前开发的城市皮肤温度预报和缩减技术，该团队建议开发一个网络服务，预测城市地区的每日季节性地表温度和能源需求。这些预测可以直接用于指导能源分配管理，提高电网的效率、安全性和弹性。

Forecasts of urban heating and energy demand for cities in different climate zones are essential for energy resources management. Accurately predicting electricity need will help energy companies, financial companies, insurance companies, and local government to manage energy resilience. This I-Corps team proposes to develop a web-service that forecasts surface temperature, electricity need, and energy efficiency in big urban regions. A web-based, high resolution (10m) skin temperature forecasting service will be a highly useful input for electricity load forecasting, building energy use efficiency assessment, and energy insurance. The prediction will be on a daily, weekly, monthly and on an annual basis. These forecasts can be directly used to guide energy distribution management, and improve energy grid efficiency, security and resilience. Identifying the current energy-load forecasting approaches used in energy-industry and their limits is the first priority for this project. This I-Corps project has two goals: Market Evaluation and Product Development. For market evaluation, the team will evaluate the energy industry needs and demand through 100+ market interviews, and through development and partner review of a prototype product demonstration. For product development, using a NOAA Global Forecasting System (GFS)weather forecast model, NASA satellite remote sensing observations, and the previously developed urban skin temperature forecasting and downscaling techniques, this team proposes to develop a web-service that forecasts daily seasonal surface temperature and energy demand for urban regions. These forecasts can be directly used to guide energy distribution management, and improve energy grid efficiency, security and resilience.