Fast fluid dynamics simulation of the airflow distributions in urban residential areas

Li, Ruibin; Liu, Zhanpeng; Feng, Lu; Gao, Naiping

doi:10.1016/j.enbuild.2021.111635

Cited by 16 publications

(2 citation statements)

References 55 publications

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“…Furthermore, their subsequent application case studied the transient PLW flow field in a complex urban area (9 km 2 ), in which the unsteady simulation with 35 million cells took less than 2 hours of computing time. Given that FFD's prediction accuracy has become an active research field recently (Dai et al, 2022;Li et al, 2022;Zheng et al, 2022), we may conclude that FFD shows potential for reducing computational time costs, but is still in further development and needs validation for more built environment cases.…”

Section: Fast Fluid Dynamicsmentioning

confidence: 99%

Recent advances in modeling turbulent wind flow at pedestrian-level in the built environment

Zhong

Liu

Zhao

et al. 2022

ARIN

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Pressing problems in urban ventilation and thermal comfort affecting pedestrians related to current urban development and densification are increasingly dealt with from the perspective of climate change adaptation strategies. In recent research efforts, the prime objective is to accurately assess pedestrian-level wind (PLW) environments by using different simulation approaches that have reasonable computational time. This review aims to provide insights into the most recent PLW studies that use both established and data-driven simulation approaches during the last 5 years, covering 215 articles using computational fluid dynamics (CFD) and typical data-driven models. We observe that steady-state Reynolds-averaged Navier-Stokes (SRANS) simulations are still the most dominantly used approach. Due to the model uncertainty embedded in the SRANS approach, a sensitivity test is recommended as a remedial measure for using SRANS. Another noted thriving trend is conducting unsteady-state simulations using high-efficiency methods. Specifically, both the massively parallelized large-eddy simulation (LES) and hybrid LES-RANS offer high computational efficiency and accuracy. While data-driven models are in general believed to be more computationally efficient in predicting PLW dynamics, they in fact still call for substantial computational resources and efforts if the time for development, training and validation of a data-driven model is taken into account. The synthesized understanding of these modeling approaches is expected to facilitate the choosing of proper simulation approaches for PLW environment studies, to ultimately serving urban planning and building designs with respect to pedestrian comfort and urban ventilation assessment.

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Section: Fast Fluid Dynamicsmentioning

confidence: 99%

Recent advances in modeling turbulent wind flow at pedestrian-level in the built environment

Zhong

Liu

Zhao

et al. 2022

ARIN

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“…The system can be implemented with multimode ventilation or adjustable fan networks and has managed to save 56.8% [20][21][22] cooling load by creating a non-uniform indoor environment. 23 Existing studies have shown that the intelligent lighting systems integrated with various sensors, communication modules and control technologies can save about 17-60% energy compared with the traditional lighting control system. 24 While the achievement of potential energy save requires the support of the indoor occupancy positioning system.…”

Section: Introductionmentioning

confidence: 99%

An RGB-D camera-based indoor occupancy positioning system for complex and densely populated scenarios

Wang

2023

Indoor and Built Environment

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The dynamic changes in occupants’ presence, movements and other behaviours could affect the actual operation and energy consumption of buildings. The design and operation of buildings can be adjusted to be more energy efficient by thinking over the actual distribution of occupants and application scenarios. Nevertheless, accurate, nonintrusive and applicable occupancy positioning systems, especially for complex and densely populated scenarios, have not yet been established. Herein, we propose a novel indoor positioning system based on a red green blue-depth (RGB-D) camera (CIOPS-RGBD). This system utilizes multiple RGB-D cameras to capture colour and depth images from different views. A data fusion algorithm is developed according to the result from a human pose estimation method. Then, the proposed CIOPS-RGBD system was setup and verified within a multifunction room for steady and dynamic accuracy estimation. The accuracy was verified within 10 cm in most cases. Finally, the system was tested under different application scenarios with more than 25 occupants in an 86 m2 space. The results demonstrate that the system can provide high-quality occupancy positioning and body orientation information for these scenarios in almost real-time, providing a solid basis to improve the actual operation and design of indoor environment creation systems.

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Fast Fluid Dynamics Simulation of Airflow Around a Single Bluff Body Under Different Turbulence Models

Li,

Liu,

Zhao

et al. 2023

Environmental Science and Engineering

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Fast fluid dynamics simulation of the airflow distributions in urban residential areas

Cited by 16 publications

References 55 publications

Recent advances in modeling turbulent wind flow at pedestrian-level in the built environment

Recent advances in modeling turbulent wind flow at pedestrian-level in the built environment

An RGB-D camera-based indoor occupancy positioning system for complex and densely populated scenarios

Fast Fluid Dynamics Simulation of Airflow Around a Single Bluff Body Under Different Turbulence Models

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