Data driven approach to modelling the resource footprints of live data streams in digital twins

物联网技术可以提高建筑物的运行效率，创造“数字双胞胎”。该项目评估数据捕获、分析和存储的整个生命周期成本，为脱碳和需求管理提供可持续的数字孪生。智能建筑已经运行了几十年，但直到最近几年，这些系统的数据才开始出现在建筑管理系统之外。物联网的无处不在正在改变我们感知环境和与环境互动的方式，并导致了数字孪生的出现——一种现实生活中运营实体的虚拟模型。在信息的驱动下，这些模型使我们能够监控操作，在问题出现之前阻止问题，或者根据不断变化的人与环境的相互作用优化操作。本研究将探索“数据作为材料”在两栋新校园建筑中的隐藏价值，以提高效率和需求灵活性。在全球层面，需要采取紧急行动，降低建筑的碳强度，并支持向净零碳运营过渡。随着潜在的数据量呈指数级增长，我们必须从战略上考虑这些信息的整个生命周期成本，以确保与累积的收益相比，数字足迹成本得到优化。该博士旨在开发一种新的方法来量化基于需求管理分析和使用后评估的数字孪生中产生的捕获，分析和存储信息的社会，经济和环境效益。将对伦敦大学学院东部的两座新校园建筑（分别于2022年和2023年开放）的数字足迹进行分析，这两座建筑每天能够产生约3000万个数据点。该研究将探讨建筑在运营因素的背景下，如改善设施和生活实验室环境的作用，以支持研究和教学。

Internet of Things technologies can improve the operational efficiency of buildings, creating "digital twins". This project assesses the whole lifecycle cost of data capture, analysis and storage to deliver sustainable digital twins for decarbonisation and demand management. Intelligent Buildings have been in operation for decades however it is only in recent years that data from these systems is starting to surface beyond building management systems. The ubiquity of the Internet of Things is changing how we sense and interact with our environment and has led to the emergence of the Digital Twin - a virtual model of a real-life operational entity. Driven by information, these models allow us to monitor operations to head off issues before they arise, or optimise operations based on ever changing human-environment interaction. This research will explore the hidden value of "data as a material" in 2 new campus buildings to improve efficiency and demand flexibility. At a global level, urgent action is required to decrease the carbon intensity of our buildings and to support a transition to a net zero carbon operation. As the potential volume of data grows exponentially it is essential that we strategically look at the whole life cost of this information to ensure the digital footprint cost is optimised compared to the benefit accrued. This PhD aims to develop a new method to quantify the social, economic and environmental benefits of capturing, analysing and storing information generated in a digital twin based on analysis of demand management and post occupancy evaluation. Analysis will be conducted on the digital footprint of two new campus buildings at UCL East (opening 2022 and 2023) which have the capacity to generate about 30 million data points per day. The research will explore the buildings in the context of operational factors such as improving facilities and the role of a Living Lab environment supporting research and teaching.