Digital Twins enabled Building Automation System for comfortable, healthy and energy efficient buildings

数字孪生支持楼宇自动化系统，打造舒适、健康和节能的建筑

• 批准号: EP/X024075/1
• 负责人: Stylianos Karatzas
• 金额: $ 26万
• 依托单位: University of Cambridge
• 依托单位国家: 英国
• 项目类别: Fellowship
• 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=EP%2FX024075%2F1
• 关键词: Digital; Twins; enabled; Building; Automation

As Europeans spend approximately 90% of their time indoors, the quality of confined spaces is a major concern for healthy indoor environments in Europe and it has a decisive impact on people's health and comfort and productivity. Indoor air quality, thermal and acoustic comfort and sufficient levels of lighting are the major determinants of the indoor environmental quality (IEQ) and play an important role in ensuring the quality of life and general wellbeing of building occupants TwinBAS seizes on the timely opportunity arising from the new revised Energy Performance of Buildings Directive (EPBD, the European Green Deal, and the need for green recovery from the COVID-19 outbreak, to support the transition towards 'smarter' buildings with a long-term objective of creating buildings that are comfortable and healthy for the occupants yet also energy efficient. In order to harness the potential benefits of recent technological advancements, the proposed work proposes a holistic assessment of tertiary sector buildings, resting on three main pillars: (i) indoor environmental conditions (ii) energy performance and (iii) the smartness of the building. Specifically, Digital Twins will be developed to improve IEQ within building spaces based on both individual and collaborative user-preferences, by using real data processing with machine learning techniques and hybrid models that combines physics-based simulations. The Digital Twins enabled system will automatically inform control functions for optimizing building operations to maximise comfort and minimize energy use at each timestep. TwinBAS will be conducted at Cambridge University (UK), Engineering Department, where the Asset Management research group is currently conducting extended research focused on the development and exploitation of digital twins to improve asset management. A secondment of 4 months is also planned at the Integrated Environmental Solutions, Research and Development Ltd. (IES R&D) in Ireland

由于欧洲人大约90%的时间都在室内度过，因此密闭空间的质量是欧洲健康室内环境的主要关注点，它对人们的健康、舒适度和生产力有着决定性的影响。室内空气质量、热和声舒适度以及充足的照明水平是室内环境质量（IEQ）的主要决定因素，在确保建筑物居住者的生活质量和总体健康方面发挥着重要作用。TwinBAS抓住了新修订的建筑物能效指令（EPBD，欧洲绿色协议，以及从COVID-19疫情中恢复绿色的需要，以支持向“智能”建筑过渡，其长期目标是为居住者创造舒适健康的建筑，同时也是节能的。为了利用最新技术进步的潜在好处，拟议的工作提出了对第三产业建筑的整体评估，主要基于三个支柱：（i）室内环境条件（ii）能源性能和（iii）建筑的智能性。具体来说，将开发数字双胞胎，通过使用带有机器学习技术的真实的数据处理和结合基于物理的模拟的混合模型，根据个人和协作用户偏好来改善建筑空间内的IEQ。数字双胞胎系统将自动通知控制功能，以优化建筑运营，最大限度地提高舒适度，并在每个时间步长最大限度地减少能源使用。TwinBAS将在剑桥大学（英国）工程系进行，该大学的资产管理研究小组目前正在进行扩展研究，重点是开发和利用数字孪生模型来改善资产管理。还计划在爱尔兰的综合环境解决方案、研究和发展有限公司借调4个月