Development and demonstration of Automated Rapid Thermal Performance Assessments (RaThPAs) for scalable, accurate assessment of building fabric

开发和演示自动快速热性能评估 (RaThPA)，用于对建筑结构进行可扩展、准确的评估

• 批准号: 10073283
• 金额: $ 31.06万
• 依托单位: KESTRIX LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10073283
• 关键词: Development; demonstration; Automated; Rapid; Thermal

Peabody Trust and United Living Property Services Ltd recognise that existing energy performance data is not fit-for-purpose for domestic retrofit at scale. Today, collecting data to prepare for and verify retrofit schemes is too costly and time-intensive, and modelling based on current Energy Performance Certificates (EPCs) is inaccurate. To solve this problem in a scalable, cost-efficient manner, Peabody and United Living have formed a collaboration with the technology-lead SME, Kestrix Ltd.Kestrix is blending machine learning (ML) with area-based thermal image capture to rapidly assess building energy performance, taking the guesswork out of building fabric performance measurement. This drives down the costs and time associated with retrofit planning and outcomes verification for social housing providers (SHPs), energy utilities, and other stakeholders in the domestic retrofit value chain.Through this project, Kestrix will develop innovative _Rapid Thermal Performance Assessment_ (RaThPA) ML algorithms to interpret thermal images automatically for energy performance. When used in conjunction with area-based thermographic mapping, RaThPAs can unlock building fabric performance benchmarking at the city-level instantly, and at a fraction of the cost.Peabody, an SHP overseeing 104,000 dwellings and United Living, a top tier residential contractor, will provide close go-to-market input and enable demonstration of the RaThPA technology, enabling rapid post-project commercialisation for Kestrix. Once the technology is developed and tested, Kestrix will be ready to play its role in accelerating retrofit, reducing fuel poverty, and driving the UK's transition to a net zero economy.

Peabody Trust 和 United Living Property Services Ltd 认识到，现有的能源绩效数据不适合大规模的国内改造。如今，收集数据来准备和验证改造方案成本高昂且耗时，而且基于当前能源绩效证书 (EPC) 的建模也不准确。为了以可扩展、经济高效的方式解决这个问题，Peabody 和 United Living 与技术领先的中小企业 Kestrix Ltd 建立了合作关系。Kestrix 将机器学习 (ML) 与基于区域的热图像捕获相结合，以快速评估建筑物能源性能，消除建筑织物性能测量中的猜测。这降低了社会住房提供商 (SHP)、能源公用事业公司和国内改造价值链中其他利益相关者与改造规划和结果验证相关的成本和时间。通过这个项目，Kestrix 将开发创新的_快速热性能评估_ (RaThPA)机器学习算法可自动解释热图像以获取能源性能。当与基于区域的热成像测绘结合使用时，RaThPA 可以立即解锁城市级别的建筑结构性能基准，且成本仅为一小部分。 Peabody 是一家负责管理 104,000 套住宅的小水电公司，而 United Living 是一家顶级住宅承包商，将提供密切的市场投入并实现 RaThPA 技术的演示，从而使 Kestrix 能够快速实现项目后商业化。一旦该技术得到开发和测试，Kestrix 将准备好在加速改造、减少燃料贫困和推动英国向净零经济转型方面发挥作用。