Timeless Digital Twins for the Energy Health Nexus

能源健康关系的永恒数字孪生

• 批准号: 2730436
• 金额: --
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2730436
• 关键词: Timeless; Digital; Twins; Energy; Health

Digital twins are bottom up, either building level or building-by-building stock models capturing the heterogenous characteristics of buildings. They can therefore better assess where specific measures might be better than others. However current digital twins are time-constrained 'snapshot' models, which represent the building or a stock at a certain point in time and until now unable to reflect how buildings evolve and change. In this project we will create a timeless digital twin stock model of selected buildings that not only comprehensively represents each building but is also continually kept up-to date using crowd-sourced energy, building and indoor air quality data which is verified via model calibration. By combining these unique characteristics, this novel integration of energy and detailed indoor air quality data provides a step-change in enabling the identification of the best strategies for improving both energy and environmental performance and more effectively assessing the impact of measures for both current and future scenarios.The aim of this project is to create engineering design processes and establish building performance simulation methods for integration of indoor air quality and energy predictions of non-domestic buildings from early architectural design to operational stages. Professionally the aim of this studentship to train a student to become experts on the following topics: Building performance simulation, Energy and indoor environmental quality evaluation, Research Ethics, EDI, Academic Writing.

数字双胞胎是自下而上的，无论是建筑水平还是逐栋建筑的库存模型，都能捕捉到建筑物的异质特征。因此，它们可以更好地评估哪些具体措施可能比其他措施更好。然而，目前的数字孪生模型是受时间限制的“快照”模型，它代表了某个时间点的建筑物或股票，直到现在还无法反映建筑物的演变和变化。在这个项目中，我们将为选定的建筑物创建一个永恒的数字孪生库存模型，不仅全面代表每个建筑物，而且还使用通过模型校准验证的众包能源，建筑物和室内空气质量数据不断保持最新。通过结合这些独特的特征，这种新颖的能量和详细的室内空气质量数据的集成提供了一个步骤，该项目的目的是创建工程设计流程，建立建筑性能模拟方法，非住宅建筑物从早期建筑设计到运营阶段的室内空气质量和能源预测。该奖学金的目的是培养学生成为以下主题的专家：建筑性能模拟，能源和室内环境质量评估，研究伦理，EDI，学术写作。