4.7 Article

Using a digital twin to explore water infrastructure impacts during the COVID-19 pandemic

期刊

SUSTAINABLE CITIES AND SOCIETY
卷 77, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scs.2021.103520

关键词

COVID-19; Water demand; Water distribution systems; Multi-modal failure; Resilience; Digital twin

资金

  1. Government of Ecuador through the Sec-retaria Nacional de Educacion, Ciencia, Tecnologia e Investigacion (SENESCYT)
  2. King Abdulaziz University, Saudi Arabia
  3. Saudi Arabian Cultural Mission to the US (SACM)

向作者/读者索取更多资源

This research utilizes digital twin technology to assess the impact of infrastructure due to changes in water demands associated with the COVID-19 pandemic, providing valuable analyses and insights for water utility managers.
During the coronavirus disease 2019 (COVID-19) pandemic, the daily pattern of activities changed dramatically for people across the globe, as they socially distanced and worked remotely. Changes in daily routines created changes in water consumption patterns. Significant changes in water demands can affect the operation of water distribution systems, resulting in new patterns of flow, with implications for water age, pressure, and energy consumption. This research develops a digital twin to couple Advanced Metering Infrastructure (AMI) data with a hydraulic model to assess impacts on infrastructure due to changes in water demands associated with the COVID19 pandemic for a case study. Using 2019 and COVID-19 modeling scenarios, the hydraulic model was executed to evaluate changes to water quality based on water age, pressure across nodes in the network, and the energy required by the system to distribute potable water. A water supply interruption event was modeled as a water main break to assess network resiliency for 2019 and COVID-19 demands. A digital twin provides the capabilities to explore and visualize emerging consumption patterns and their effects on the functioning of water systems, providing valuable analyses for water utility managers and insight for optimizing infrastructure operations and planning for long-term impacts.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据