Risk-Informed Digital Twin (RDT) for the Decarbonization of the Built Environment: The Australian Residential Context

G. Pignatta, U. Alibrandi
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引用次数: 2

Abstract

Urban communities are complex systems. According to the holistic perspective of the systems thinking theory, the “whole is not the sum of its parts, but rather is a product of the parts’ interactions”. This systems-thinking approach is commonly applied to analyse urban systems and developments. This study introduces the Risk-informed Digital Building Twin (RDBT) based on the Risk-informed Digital Twin (RDT), a novel digitalization technology incorporating an integrated multi-dimensional multi-stakeholders decision-making system under uncertainty. In the RDBT, energy-efficient, resilient, and sustainable systems/subsystems of civil engineering can be considered at the scale of the single building to assess different needs. Monitored data are critical to performing comprehensive near real-time lifecycle holistic analyses through the framework of Sustainable and Resilient Based Engineering. An apartment building located in Sydney, Australia, has been selected for future deployment of the RDBT.
风险知情的数字孪生(RDT)用于建筑环境的脱碳:澳大利亚住宅环境
城市社区是一个复杂的系统。根据系统思维理论的整体观,“整体不是各部分的总和,而是各部分相互作用的产物”。这种系统思维方法通常用于分析城市系统和发展。本文介绍了基于风险知情数字孪生模型(RDT)的风险知情数字建筑孪生模型(RDBT), RDT是一种新型的数字化技术,包含了不确定条件下多维多利益相关者的综合决策系统。在RDBT中,节能、弹性和可持续的土木工程系统/子系统可以在单个建筑的尺度上考虑,以评估不同的需求。通过可持续和弹性工程的框架,监测数据对于执行全面的近实时生命周期整体分析至关重要。位于澳大利亚悉尼的一栋公寓楼被选为未来部署RDBT的地点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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