ZEBAI - Innovative methodologies for the design of Zero-Emission and cost-effective Buildings enhanced by Artificial Intelligence

ZEBAI - 通过人工智能增强零排放和具有成本效益的建筑设计的创新方法

• 批准号: 10094812
• 金额: $ 74.94万
• 依托单位: UNIVERSITY OF BIRMINGHAM
• 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
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10094812
• 关键词: ZEBAI; Innovative; methodologies; design; Zero

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.

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了一种新方法，旨在通过通过将所有相互依存的分析和部分替代性决策过程整合在整体方法下的所有相互依存分析和允许同时评估能够考虑到能量效果的整体评估的整体方法中来改变设计零排放建筑物的设计方式：环境效果，并效果效果。为此，我们将需要开发一个特征良好的材料数据库，并估算模拟和实际建筑性能之间的差异。将使用的方法是人工智能技术，以优化建筑物设计不同方面的材料和系统的选择。 AI辅助方法旨在使设计过程更加高效和用户友好，同时结合了所有环境质量和成本效益目标。这种方法将在不同的气候，用法和建筑模式中对新的建筑设计进行优化，以实现到2050年到2050年实现零发射建筑物库存的最终目标。在项目期间，我们将与四个代表演示者（位于乌克兰，乌克兰，苏联，英国王国和纽约国乡村）一起测试零发射的建筑库存。 Zebai依靠以前资助的欧洲研究项目，并与合作伙伴合作的几项国家计划保持一致。