I-Corps: Decision Support Tool to Assess Distributed Electricity Needs

I-Corps：评估分布式电力需求的决策支持工具

• 批准号: 1932343
• 负责人: Lisa Bosman
• 金额: $ 5万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-15 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1932343&HistoricalAwards=false
• 关键词: Corps; Decision; Support; Tool; Assess

The broader impact/commercial potential of this I-Corps project will have a direct impact on the energy industry, and indirect effects to all people connected to the energy grid. Energy generation, sources and distribution methods have been continuously evolving over the past decade. In 2018, solar-produced energy accounted for 1.6% of the electricity generated in the U.S., up from 0.11% in 2012. By 2020, solar-produced energy is forecasted to account for 5% of U.S. generated electricity. With the increased efficiency associated with solar energy production and distribution, local homeowners have also assumed the role of energy generators, even getting credit for access electricity supplied to the grid given the policy around net-metering. When planning their energy distribution frameworks, utility companies have to take these changes in energy consumption and generation into account when planning their energy distribution frameworks. Devising methods and tools which can accurately estimate near-future (5-10 days) local weather forecasts and its implications for changes in solar energy production will positively impact utility companies, reducing stakeholder costs currently associated with forecasting errors.This I-Corps project aims to conduct customer discovery and validation for a decision support tool which incorporates localized real-time weather data and near-future forecasted weather data to predict site-specific weather parameters for the purpose of estimating solar energy generation at the region level. This tool assists utility companies (who own solar arrays and/or have customers who own solar arrays) to level-out load demand and supply. In addition, this tool assists solar energy system owners to verify the system is working properly. This I-Corps project is an extension of prior research to develop a framework to model long-term efficiency and reliability of photovoltaic (PV) systems, and then verify accuracy through comparison to real-time PV system performance data. From a practical perspective, this produced a model to estimate performance and value of used solar energy systems. This I-Corps project leverages the previously developed framework but incorporates multiple weather data sets (e.g., real-time weather data, historical weather data, and near-future forecasted weather data) to estimate near-future (5-7 days) performance. It is proposed that this focus on big data will be beneficial to utility companies to level out demand and supply.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这个I-Corps项目的更广泛的影响/商业潜力将对能源行业产生直接影响，并对所有连接到能源网的人产生间接影响。在过去十年中，能源的生产、来源和分配方法一直在不断发展。2018年，太阳能发电占美国发电量的1.6%，2012年为0.11%。到2020年，太阳能发电预计将占美国发电量的5%。随着太阳能生产和分配效率的提高，当地房主也承担了能源发电机的角色，甚至在电网上网方面获得信贷。在规划其能源分配框架时，公用事业公司在规划其能源分配框架时必须考虑到能源消耗和发电的这些变化。设计可以准确估计近期的方法和工具（5-10天）当地天气预报及其对太阳能生产变化的影响将对公用事业公司产生积极影响，减少目前与预测错误相关的利益相关者成本。这个I-Corps项目旨在为一个决策支持工具进行客户发现和验证，该工具包含本地实时天气数据和近-未来预报的天气数据，以预测特定地点的天气参数，从而估计区域一级的太阳能发电量。该工具可帮助公用事业公司（拥有太阳能电池板和/或拥有太阳能电池板的客户）平衡负载需求和供应。此外，该工具还可帮助太阳能系统所有者验证系统是否正常工作。这个I-Corps项目是先前研究的延伸，旨在开发一个框架来模拟光伏（PV）系统的长期效率和可靠性，然后通过与实时光伏系统性能数据的比较来验证准确性。从实际的角度来看，这产生了一个模型，以估计性能和价值的使用太阳能系统。这个I-Corps项目利用了以前开发的框架，但结合了多个天气数据集（例如，实时天气数据、历史天气数据和近期预报天气数据）来估计近期（5-7天）性能。该奖项反映了NSF的法定使命，通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。