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按大规模进行国内改造。如今，收集数据以准备和验证改造方案的成本太高且耗时，基于当前的能量性能证书（EPC）进行建模是不准确的。为了以可扩展，成本效益的方式解决这个问题，Peabody和United Living与技术领先的中小型企业建立了合作，Kestrix Ltd.Kestrix将机器学习（ML）与基于区域的热图像捕获融为一体，以快速评估建筑物的能源性能，从而使建筑面料性能测量的猜测工作。这推动了与社会住房提供商（SHP），能源公用事业和其他利益相关者在国内改造价值链中相关的成本和时间。当与基于区域的热量图映射结合使用时，Rathpas可以立即在城市层面上解锁构建面料性能基准测试，而成本的一小部分。一旦技术开发和测试，Kestrix就可以准备在加速改造，减少燃料贫困以及推动英国向零净经济体的过渡中发挥作用。