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，密闭空间的质量是欧洲健康室内环境的主要关注点，对人们的健康、舒适度和生产力具有决定性影响。室内空气质量、热舒适度和声学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，在确保建筑居住者的生活质量和总体福祉方面发挥着重要作用。新修订的《建筑能源绩效指令》（EPBD、《欧洲绿色协议》以及从 COVID-19 疫情中实现绿色复苏的需要），以支持向“智能”建筑过渡，其长期目标是创建具有以下特点的建筑：为居住者带来舒适和健康，同时又节能 为了利用最新技术进步的潜在好处，拟议的工作提出对第三产业建筑进行全面评估，以三个主要支柱为基础：（i）室内环境条件（ii）具体来说，将开发数字孪生，通过使用机器学习技术和结合物理的混合模型，根据个人和协作用户偏好来改善建筑空间内的 IEQ。 -基于模拟。支持数字孪生的系统将自动通知控制功能，以优化建筑运营，以最大限度地提高舒适度并最大限度地减少每个时间步骤的能源使用。 TwinBAS 将在英国剑桥大学工程系进行，该系的资产管理研究小组目前正在进行扩展研究，重点关注数字孪生的开发和利用，以改善资产管理。还计划借调到爱尔兰的综合环境解决方案、研究和开发有限公司 (IES R&D) 进行 4 个月的借调