Artificial Intelligence driven algorithm to accelerate low carbon building renovation.

人工智能驱动算法加速低碳建筑改造。

• 批准号: 2785695
• 金额: --
• 依托单位: Loughborough University
• 依托单位国家: 英国
• 项目类别: Studentship
• 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=studentship-2785695
• 关键词: Artificial; Intelligence; driven; algorithm; accelerate

Both the UK and EU have set up an ambitious carbon neutral target to achieve zero carbon emission by 2050. The building sector can play a significant role to accelerate this agenda. The built environment has long being cited as the largest energy consumer, accounting for 40% of the final energy demand globally. In EU and the UK, around 80 to 85% of the existing buildings will still be in use till 2050. However, the current building retrofit rate is too low (i.e. about 1.2% per year) to achieve the carbon neutral target. This project will base on the continuous works from an EU funded project RezBuild (https://rezbuildproject.eu/), and apply multi-optimisation methods to develop a series of novel simulation algorithms for holistic building retrofit at both single building and building clusters level. By working on this project will ensure you acquire substantial knowledge in building energy modelling using multi-criteria analysis methods. You will also have the chance to get connected to a range of active industrial players with specialities in building renovation and sustainable building technologies both in the UK and EU, thereby paving way for your future career development.

英国和欧盟都制定了雄心勃勃的碳中和目标，到2050年实现零碳排放。建筑部门可以在加快这一议程方面发挥重要作用。长期以来，建筑环境一直被认为是最大的能源消费者，占全球最终能源需求的40%。在欧盟和英国，约80%至85%的现有建筑物将继续使用至2050年。然而，目前的建筑物改造率太低（即每年约1.2%），无法实现碳中和目标。该项目将基于欧盟资助的项目RezBuild（https：//rezbuildproject.eu/）的持续工作，并应用多重优化方法开发一系列新颖的模拟算法，用于单个建筑和建筑群级别的整体建筑改造。通过这个项目的工作将确保您获得大量的知识，在建筑能源建模使用多标准分析方法。您还将有机会与英国和欧盟的建筑翻新和可持续建筑技术专业的一系列活跃的工业参与者建立联系，从而为您未来的职业发展铺平道路。