ZEBAI - Innovative methodologies for the design of Zero-Emission and cost-effective Buildings enhanced by Artificial Intelligence
ZEBAI - Innovative methodologies for the design of Zero-Emission and cost-effective Buildings enhanced by Artificial Intelligence
批准号:
10094812
负责人:
金额:
$74.94万
依托单位:
依托单位国家:
英国
项目类别:
EU-Funded
财政年份:
2024
资助国家:
英国
项目状态:
未结题
起止时间:
2024 至 --
中文摘要
ZEBAI是一个雄心勃勃的综合项目,其中广泛的跨学科团队合作开发一种新的方法,旨在改变零排放建筑的设计方式,通过整合所有相互依赖的分析和部分替代决策过程,在整体方法下,允许同时考虑设计评估:能源性能、环境影响、室内环境质量和成本效益。为此,我们将需要开发一个具有良好特性的材料数据库,并对模拟和实际建筑性能之间的差异进行估计。将使用的方法是人工智能技术,以优化建筑设计不同方面的材料和系统的选择。人工智能辅助的方法旨在使设计过程更加高效和用户友好,同时纳入所有环境质量和成本效益目标。这种方法将使新的建筑设计能够在不同的气候,用途和建筑模式下优化可扩展的零能耗建筑(ZEB)设计,最终目标是到2050年实现零排放建筑存量。在项目期间,我们将与四个具有代表性的示范者(位于乌克兰,西班牙,英国和荷兰)测试ZEBAI方法。ZEBAI依靠以前资助的欧洲研究项目,并与合作伙伴合作的几个国家倡议保持一致。
英文摘要
ZEBAI is an ambitious integrative project in which a broad range of interdisciplinary teams collaborate to develop a new methodology that aims to change the way that Zero-emission buildings are designed, by integrating all interdependent analysis and partial alternative decision-making processes under a holistic approach that allows the evaluation of a design simultaneously taking into account: energy performance, environmental impact, indoor environmental quality, and cost-effectiveness. For this purpose, we will require to develop a database of well-characterised materials and make an estimation of discrepancies between simulated and actual building performance. The methodology that will be used is artificial intelligence techniques to optimise the selection of materials and systems in different aspects of the building design. The AI-assisted methodology aims to make the design process more efficient and user-friendly while incorporating all environmental quality and cost-effectiveness objectives. This approach will enable the optimisation of new architectural designs towards scalable Zero Energy Building (ZEB) design in different climates, usages, and building patterns, with the ultimate goal of achieving a zero-emission building stock by 2050. During the project, we will test ZEBAI methodology with four representative demonstrators (located in Ukraine, Spain, the United Kingdom, and the Netherlands). ZEBAI relies on previously funded European research projects and aligns with several national initiatives in which the partners collaborate.
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