PIRE: Building Decarbonization via AI-empowered District Heat Pump Systems

PIRE：通过人工智能支持的区域热泵系统实现脱碳

• 批准号: 2230748
• 负责人: Zheng O'Neill
• 金额: $ 150万
• 依托单位: Texas A&M University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2023-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2230748&HistoricalAwards=false
• 关键词: PIRE; Building; Decarbonization; via; AI

Increasing concerns about climate change, clean energy, and energy security demand that our society transition to a net-zero carbon economy that serves the triple bottom line of planetary health, societal well-being, and economic prosperity. This PIRE project is focused on innovating Artificial Intelligence (AI) techniques with an understanding of human need and behaviors to enable an efficient, human-centered, resilient, and socially justifiable operation of district- and community-scale heat pumps systems that promote a regional scale adoption of building decarbonization. In an increasingly urbanized world, there is a pressing need to address the critical challenges of climate change through the built environment because the building sector accounts for nearly 40% of the primary energy use in the U.S. and associated greenhouse gas and CO2 emissions, with about 50% of that energy dedicated to heating, cooling, ventilation, and lighting. In addition, people spend more than 90% of their time indoors which means that addressing their needs and comfort in a sustainable way is critical for climate resilience planning. Electrification of heating and cooling systems is widely acknowledged as a core and non-negotiable strategy for decarbonization. Many major U.S. metropolitan areas have put the adoption of electric heat pump technologies on the roadmap reaching building decarbonization in the next decade. Taking advantage of the wide adoption of district heating/cooling heat pump systems in Nordic countries, this project seeks to leverage the data and testbeds provided by our core international partners from Sweden and Denmark and the AI innovations provided by the U.S. team to catalyze the readiness to support the scaling up and adoption of human-centered and equity focused AI empowered district system operation strategies at a regional and global scale. Findings from this project will be disseminated through two International Energy Agency’s Annex teams (81 and 84) which will reach to researchers from more than 20 countries. Through their outreach activities, including focus group discussions and workshops, the team will work closely with partners from government and community stakeholders to promote community-focused and equitable district heat pump adoption, implementation, and operation. Two new cross-institutional education programs are designed to promote convergent international education in human centered sustainable built environment: a) Summer International Graduate Bootcamp and Exchange Program; and b) Smart Built Environment Certification Program. Leveraging partner institutions’ other existing flagship programs ranging from K-12, undergraduate, and workforce training, the project will train a diverse, convergent workforce well-versed in science, technology, engineering, arts, and mathematics (STEAM), AI, and socioeconomics to tackle global challenges of climate change.This project contributes to: 1) data science – the development of new human-interactive AI tools to help facility managers and building owners (i.e., users) to make timely decisions and to help incentivize a faster and wider adoption of building decarbonization; 2) building science – the development of novel and scalable models and algorithms for occupant-centric and socially equitable controls driven by occupant, environmental, and community needs; and 3) social science – engaging communities and decision-makers in the design of AI systems to incorporate their environmental, social, economic, and equity needs in the models. Specific anticipated engineering/science contributions include: 1) novel causally-informed Bayesian network with dynamic causal discovery and thermography-based big data analysis for a scalable performance monitoring, energy diagnosis, and prognosis of district heat pump systems, 2) a comprehensive AI learning based occupant needs and behavior modeling framework to bridge the gaps within human-building-community interactions and promote energy equity across the district, 3) new physics- and data-informed learning models for forecasting and optimization under uncertainty, and 4) holistic data sets collected from pilot sites in Sweden/Denmark and the U.S. that use an energy justice lens and are developed through a community-informed approach. The project team's international industry partners, including a heat pump manufacturer and district energy system management companies, will guide the project to streamline the potential technology transfer process.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.

人们对气候变化，清洁能源和能源安全的担忧越来越担心，要求我们的社会向净零碳经济过渡，这是行星健康，社会福祉和经济繁荣的三重底线。该PIRE项目的重点是创新的人工智能（AI）技术，了解人类需求和行为，以使地区和社区规模的热泵系统具有高效，以人为本，以人为本，有弹性和社会合理的运作，从而促进了区域规模的建筑脱碳化采用。在越来越多的城市化世界中，迫切需要解决通过建筑环境的气候变化的关键挑战，因为建筑行业占美国以及相关的温室气体和二氧化碳排放的几乎40％，其中约50％的能源用于加热，冷却，冷却，通风，通风和照明。此外，人们在室内花费了超过90％的时间，这意味着以可持续的方式满足他们的需求和舒适性对于气候弹性计划至关重要。加热和冷却系统的电化被广泛认为是脱碳的核心和不可谈判的策略。美国许多主要的大都市地区都将电动热泵技术采用在未来十年的路线图上脱碳。 Taking advantage of the wide adoption of District heating/cooling heat pump systems in Nordic countries, this project seeks to leverage the data and testbeds provided by our core international partners from Sweden and Denmark and the AI ​​innovations provided by the U.S. team to catalyze the readiness to support the scaling up and adoption of human-centered and equity focused AI empowered district system operation strategies at a regional and global scale.该项目的发现将通过两个国际能源局的附件团队（81和84）进行传播，这些团队将向来自20多个国家 /地区的研究人员传播。通过他们的宣传活动，包括焦点小组讨论和研讨会，团队将与政府和社区利益相关者的合作伙伴紧密合作，以促进以社区为中心和公平的地区热泵采用，实施和运营。两项新的跨机构教育计划旨在促进以人为中心的可持续建筑环境中的融合国际教育：a）夏季国际研究生训练营和交流计划； b）智能建筑环境认证计划。利用合作伙伴机构的其他现有旗舰计划，从K-12，本科和劳动力培训不等，该项目将培训潜水员，融合的劳动力在科学，技术，技术，工程，艺术和数学和数学（Steam），AI和社会经济学上，以应对气候变化的全球挑战。建筑所有者（即用户）及时做出决定，并帮助激励更快，广泛地采用建筑物的脱碳； 2）建筑科学 - 以居民，环境和社区需求驱动的以居民为中心和社会公平控制的新颖和可扩展模型和算法的开发； 3）社会科学 - 吸引社区和决策者在AI系统的设计中，将其环境，社会，经济和平等需求纳入模型。特定的预期工程/科学贡献包括：1）具有动态催化发现和基于热图的大型大数据分析的新颖新颖的意外信息，可进行可扩展性能监控，能量诊断和对地区热泵系统的预后，2）全面AI学习的基于AI学习的占用者需求和行为建模框架，以跨越人类的能量互动，并促进了跨越人类的跨度互动 - 在不确定性下进行预测和优化的模型，以及4）从瑞典/丹麦和美国使用能源正义镜头并通过社区知识的方法开发的整体数据集。项目团队的国际工业合作伙伴，包括热泵制造商和地区能源系统管理公司，将指导该项目简化潜在的技术转移流程。该奖项反映了NSF的法定任务，并通过评估该基金会的知识分子优点和更广泛的影响来审查标准。