Smart Retrofitting: A digital workflow process for building asset management

智能改造：建筑资产管理的数字化工作流程

• 批准号: 10065745
• 金额: $ 2.8万
• 依托单位: LONDON SOUTH BANK UNIVERSITY
• 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: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10065745
• 关键词: Smart; Retrofitting; digital; workflow; process

This project makes a cost-effective, accurate, and replicable digital workflow for retrofit projects.The project will combine the LIDAR (light detection and ranging) survey with time-series indoor and outdoor environmental monitoring and create a BIM-style performance model based on precisely determining the building geometry and physics. It can test and rank performance improvement options based on a scientific determination of the building but at a fraction of the cost of current onsite approaches and far more accurately than remote 'big data' approaches.LIDAR sensors can detect the distance to various points on an image, enabling a building survey in a few hours instead of a few days or weeks using conventional methods. It will reduce the cost and improve the accuracy of a building survey to create a replicable digital workflow for retrofit projects comparable across building portfolios.The headline aim of this competition is to accelerate the shift to a net zero economy by developing and testing scalable service propositions. The shift to net zero requires improving building performance outcomes by reducing the energy needed to make a space fit for purpose. This project combines environmental monitoring and LIDAR to give powerful insights into the links between energy, carbon, and indoor air quality (IAQ). IAQ is integral to reducing energy demand and creating scalable solutions to net zero.The initial project focuses on schools, creating tools to save energy, reduce costs, and improve performance outcomes in the education sector. The approach is scalable and generalisable to all building types.

该项目为改造项目提供了一个经济、准确和可复制的数字化工作流程。该项目将把LIDAR(光探测和测距)测量与时间序列的室内外环境监测相结合，创建基于精确确定建筑几何和物理的BIM风格的性能模型。它可以基于对建筑物的科学确定来测试和排名性能改进方案，但成本只有当前现场方法的一小部分，而且比远程的大数据方法更准确。激光雷达传感器可以检测到图像上不同点的距离，使建筑测量在几个小时内完成，而不是传统方法的几天或几周。它将降低建筑调查的成本并提高建筑调查的准确性，为建筑投资组合中可比较的翻新项目创建可复制的数字工作流程。这项竞争的主要目标是通过开发和测试可扩展的服务主张来加速向净零经济的转变。向净零的转变需要通过减少使空间适合用途所需的能源来提高建筑性能。该项目结合了环境监测和激光雷达，对能源、碳和室内空气质量(IAQ)之间的联系提供了强有力的见解。室内空气质量对于减少能源需求和创建可扩展的净零解决方案是不可或缺的。最初的项目侧重于学校，创造工具来节省能源，降低成本，并改善教育部门的绩效结果。该方法是可扩展的，并可推广到所有建筑类型。