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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

基本信息

批准号：
10073283
负责人：
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

项目摘要

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.

皮博迪信托和联合生活物业服务有限公司认识到，现有的能源性能数据不适合大规模的家庭改造。如今，收集数据以准备和验证改造方案成本太高，时间太密集，并且基于当前能源性能证书（EPC）的建模不准确。为了以可扩展、具有成本效益的方式解决这一问题，皮博迪和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，以快速评估建筑物的能源性能，消除建筑结构性能测量的猜测。通过该项目，Kestrix将开发创新的_快速热性能评估_（RaThPA）机器学习算法，自动解读热图像以评估能源性能。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织物性能基准，并且成本很低。Peabody是一家监管104，000套住宅的SHP，而United Living是一家顶级住宅承包商，将提供接近市场的投入，并实现RaThPA技术的演示，从而为Kestrix实现快速的项目后商业化。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过渡方面发挥作用。