4.7 Article

CFD- and BPNN- based investigation and prediction of air pollutant dispersion in urban environment

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Civil

Layout optimization for renovation of operational offshore wind farm based on machine learning wake model

Kun Yang et al.

Summary: In the past, offshore wind farms had large wind turbine distances to prevent power loss from wake effects. This limited their capacity density and allowed for potential expansion. This paper presents a suitable renovation plan for operational wind farms by installing new wind turbines while maintaining the existing ones. A machine learning wake model is used to optimize the layout, resulting in minimal differences between heuristic and gradient-based algorithms. The renovation plan is recommended for aging wind farms with low capacity density.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2023)

Article Mechanics

A POD-DMD augmented procedure to isolating dominant flow field features in a street canyon

Yunfei Fu et al.

Summary: This study develops a data analysis procedure called Proper Orthogonal Decomposition (POD)-Dynamic Mode Decomposition (DMD) augmented analysis to identify the dominant features of flow field in a street canyon from both energetic and dynamic perspectives. The results show that different modes contribute to various aspects of the flow, such as mainstream flow, main vortex structures, turbulent kinetic energy distribution, and reversed flow structures. This technique provides a systematic analysis of the flow field and offers insights for addressing pollutant dispersion issues in urban areas.

PHYSICS OF FLUIDS (2023)

Article Construction & Building Technology

Urban road network design for alleviating residential exposure to traffic pollutants: Super-block or Mini-block?

Xing Zheng et al.

Summary: This study uses computational fluid dynamics simulations to evaluate the impact of three different urban road design strategies on residents' exposure to traffic pollutants. The results show that changing the road design from super-block to mini-block can reduce outdoor pollutant intake for young and adult groups, but has little impact on the elderly group. Indoor pollutant concentrations also vary among buildings with different design strategies, with higher concentrations for the elderly group in mini-block design.

SUSTAINABLE CITIES AND SOCIETY (2023)

Article Mechanics

The linear-time-invariance notion of the Koopman analysis. Part 2. Dynamic Koopman modes, physics interpretations and phenomenological analysis of the prism wake

Cruz Y. Li et al.

Summary: This research presents a linear-time-invariance (LTI) approach to Koopman analysis in order to find physically meaningful Koopman modes and address a long-standing problem in fluid mechanics. Part 1 developed the Koopman-LTI architecture and applied it to a pedagogical prism wake, capturing the recurring dynamics and finding six fluid-structure mechanisms. Part 2 further analyzes these mechanisms and reveals their physical implications, including shear layer dynamics, turbulence production, and the vortex breathing phenomenon. The research highlights the importance of the Koopman-LTI approach in understanding fluid-structure interactions.

JOURNAL OF FLUID MECHANICS (2023)

Article Engineering, Mechanical

Three-dimensional aerodynamic lift on a rectangular cylinder in turbulent flow at an angle of attack

Shaopeng Li et al.

Summary: The aim of this study is to derive the closed-form solution for the three-dimensional aerodynamic admittance (3D AAF) of the lift on a 5:1 rectangular cylinder in turbulent flow at an angle of attack (AoA) to analyze the unsteady effects of AoA. The study introduces the separated one- and two-wavenumber aerodynamic admittances to assess the contributions of u and w components of turbulence to the lift force at an AoA. The closed-form expressions for the one- and two-wavenumber spanwise correction factors of the 3D AAF are derived, providing insight into the unsteady effects of turbulence components and the distortion of the free-stream turbulence.

JOURNAL OF FLUIDS AND STRUCTURES (2023)

Article Engineering, Civil

Best practice guidelines for the dynamic mode decomposition from a wind engineering perspective

Cruz Y. Li et al.

Summary: This paper distills the serial work of Li et al. into a practice guide for the Dynamic Mode Decomposition (DMD) with a focus on wind engineering. The guide discusses the connections between DMD and other theories, provides recommendations for temporal and spatial aspects, and introduces two open-source MATLAB algorithms for wind engineers.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2023)

Article Construction & Building Technology

RANS simulation of near-field dispersion of reactive air pollutants

A. U. Weerasuriya et al.

Summary: In conventional modeling, air pollutants are treated as passive scalars or inert species, ignoring their chemical reactivity. This study integrated a simple chemistry model into computational fluid dynamics simulation to investigate the impact of chemical reactions on near-field pollution dispersion. The results showed significant chemical reactivity when the NO concentration exceeded 1, while lower concentrations behaved similarly to inert species.

BUILDING AND ENVIRONMENT (2022)

Article Construction & Building Technology

A coupled computational fluid dynamics and back-propagation neural network-based particle swarm optimizer algorithm for predicting and optimizing indoor air quality

Lu Li et al.

Summary: This study aims to rapidly predict and optimize indoor air quality (IAQ) by using computational fluid dynamics (CFD) combined with back propagation neural network (BPNN) and particle swarm optimizer (PSO) algorithm. The BPNN-PSO algorithm reduces indoor air pollutants concentration and computational costs compared to other methods.

BUILDING AND ENVIRONMENT (2022)

Article Engineering, Mechanical

A parametric and feasibility study for data sampling of the dynamic mode decomposition: range, resolution, and universal convergence states

Cruz Y. Li et al.

Summary: This study focuses on the nuances of dynamic mode decomposition (DMD) sampling and investigates how sampling range and resolution affect the convergence of DMD modes. The results show that the stabilization state is the optimal state for modal convergence, while oversampling leads to algorithmic instability. The convergence of sampling resolution depends on mode-specific dynamics.

NONLINEAR DYNAMICS (2022)

Article Construction & Building Technology

Evaluation of fast fluid dynamics with different turbulence models for predicting outdoor airflow and pollutant dispersion

Ting Dai et al.

Summary: This study implemented fast fluid dynamics (FFD) with different turbulence models, including no turbulence model, Smagorinsky model, and dynamic Smagorinsky model, in the open-source program OpenFOAM. By simulating various outdoor cases and comparing with experiment and computational fluid dynamics (CFD), the accuracy and computing efficiency of FFD with different turbulence models were assessed. FFD greatly improved computing speed without sacrificing accuracy compared to CFD. Dynamic Smagorinsky model provided accurate results with high efficiency.

SUSTAINABLE CITIES AND SOCIETY (2022)

Article Business

Impacts of ride and car-sharing associated with fully autonomous cars on global energy consumptions and carbon dioxide emissions

Keigo Akimoto et al.

Summary: The advancement of digital technology leads to the rise of the sharing economy, particularly in the transportation sector where fully autonomous cars will accelerate ride-sharing and car-sharing models. Research indicates that ride and car-sharing can significantly reduce energy consumption and CO2 emissions, offering a cost-effective solution for achieving global emission reduction targets.

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2022)

Article Mechanics

A parametric and feasibility study for data sampling of the dynamic mode decomposition: Spectral insights and further explorations

Cruz Y. Li et al.

Summary: This study extends the investigation on the sampling nuances of dynamic mode decomposition (DMD) under Koopman analysis. It confirms the generality of the convergence states for all DMD implementations and reveals the effects of sampling range and resolution on spectral discretization. The study also suggests that observables derived from the same flow may contain dynamically distinct information and provides recommendations for characterizing the structure and flow field using surface pressure and vortex fields.

PHYSICS OF FLUIDS (2022)

Article Thermodynamics

Numerical study of reactive pollutants diffusion in urban street canyons with a viaduct

Tingzhen Ming et al.

Summary: This study investigated the diffusion of reactive pollutants emitted by motor vehicles in a 2-dimensional street canyon by using computational fluid dynamics (CFD) method. The presence of a viaduct was found to change the flow field structure in the street canyon and increase pollutant concentrations. The influence of the viaduct on the concentration of reactive pollutants was significantly larger than that of chemical reactions.

BUILDING SIMULATION (2022)

Article Mechanics

The linear-time-invariance notion to the Koopman analysis: The architecture, pedagogical rendering, and fluid-structure association

Cruz Y. Li et al.

Summary: This work extends the Linear-Time-Invariance (LTI) notion to Koopman analysis, identifying an invariant subspace that relates to fluid mechanics. It also introduces the Koopman-LTI architecture and demonstrates its potential to study fluid-structure interactions from a new perspective. The study validates the effectiveness of the Koopman-LTI approach through a wake example involving nonlinear dynamics and turbulence.

PHYSICS OF FLUIDS (2022)

Article Construction & Building Technology

Effect of urban morphology on air pollution distribution in high-density urban blocks based on mobile monitoring and machine learning

Chenyu Huang et al.

Summary: This study investigates the nonlinear relationship between building morphological indicators and the spatial distribution of air pollutants in a high-density city using mobile monitoring data and machine learning. The results show that neural networks perform the best in rapidly predicting pollutant diffusion levels.

BUILDING AND ENVIRONMENT (2022)

Article Construction & Building Technology

Impact of moving traffic on pollutant transport in street canyons under perpendicular winds: A CFD analysis using large-eddy simulations

Xing Zheng et al.

Summary: This study systematically investigated the impact of traffic direction, traffic density, and approaching wind speed on the mechanism of pollutant dispersion in urban street canyons. The findings show that traffic moving in the same direction strongly modifies the local mean pollutant concentration, especially under a low approaching wind speed.

SUSTAINABLE CITIES AND SOCIETY (2022)

Article Engineering, Civil

RANS CFD modeling of the flow around a thin windbreak fence with various porosities: Validation using wind tunnel measurements

Yoshihide Tominaga et al.

Summary: In this study, pressure loss coefficients of porous materials were determined using a small wind tunnel, while velocity and turbulence statistics behind the fences were measured in an atmospheric boundary layer wind tunnel. Two separate CFD models were used to simulate the airflow and were validated using experimental results. The study showed accurate prediction of pressure loss but some discrepancies in velocity deficit and turbulent kinetic energy for non-wire-mesh fences. This research is important for improving the performance of thin porous windbreak fences.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2022)

Article Engineering, Aerospace

Artificial neural network analysis of the Nusselt number and friction factor of hydrocarbon fuel under supercritical pressure

Kaihang Tao et al.

Summary: This paper presents an artificial neural network (ANN) analysis to derive a Nusselt number and friction factor model for hydrocarbon fuel under supercritical pressure in horizontal circular tubes. The optimized ANN model shows high prediction accuracy and outperforms other empirical correlations. The model has been evaluated using mean relative error, determination coefficient, number of iterations, and convergence time.

PROPULSION AND POWER RESEARCH (2022)

Article Environmental Sciences

Development and application of a multi-scale modeling framework for urban high-resolution NO2 pollution mapping

Zhaofeng Lv et al.

Summary: Vehicle emissions have become a significant contributor to air pollution in urban areas, particularly in near-road environments. Existing air quality models struggle to accurately capture the pollution characteristics due to the complex composition of the underlying surface. In this study, a hybrid model incorporating machine learning methods was developed to quantitatively analyze the impact of vehicle emissions on urban roadside NO2 concentrations at a high spatial resolution. The results showed that the hybrid model improved the estimation of NO2 concentrations compared to the traditional model and highlighted the influence of street canyons on pollutant dispersion.

ATMOSPHERIC CHEMISTRY AND PHYSICS (2022)

Article Construction & Building Technology

Exposure Assessment of Traffic-Related Air Pollution Based on CFD and BP Neural Network and Artificial Intelligence Prediction of Optimal Route in an Urban Area

Lulu Ren et al.

Summary: This study presents a system that combines computational fluid dynamics simulation, a BP neural network model, and the RRT* algorithm to plan low-risk paths for commuters. It also proposes artificial intelligence-based models for calculating exposure risk to traffic-related pollutants and choosing low-risk commuting paths for healthy travel.

BUILDINGS (2022)

Article Environmental Sciences

Spatio-temporal modeling of PM2.5 risk mapping using three machine learning algorithms

Seyedeh Zeinab Shogrkhodaei et al.

Summary: The study focused on the Spatio-temporal modeling and preparation of PM2.5 risk mapping in the urban area of Tehran, Iran. Different parameters' importance and impacts were analyzed under seasonal variations.

ENVIRONMENTAL POLLUTION (2021)

Article Mechanics

Establishing direct phenomenological connections between fluid and structure by the Koopman-Linearly Time-Invariant analysis

Cruz Y. Li et al.

Summary: This work introduces a novel data-driven formulation, the Koopman-LTI analysis, for analyzing Fluid-Structure Interactions (FSI). The implementation of Koopman-LTI on a subcritical free-shear flow over a prism corroborated a universal Koopman system for configurations with high accuracy, and successfully decomposed raw measurements into linear superposition of frequency-based constituents. Importantly, Koopman-LTI established direct constitutive relations between fluid phenomenology and structure by yielding frequency-wise identical modes for structure response and fluid excitation.

PHYSICS OF FLUIDS (2021)

Article Environmental Sciences

Impact of various vegetation configurations on traffic fine particle pollutants in a street canyon for different wind regimes

Lu Zhang et al.

Summary: The establishment of vegetation in urban areas is a potential solution to combat elevated particulate matter pollution and enhance the sustainability of cities, yet the effects of vegetation in street-canyon locations on traffic pollutant dispersion and deposition are not well studied. Results showed that the transportation and distribution of traffic-generated PM pollutant varied with different wind regimes, with vegetation configurations playing a significant role in the effectiveness of vegetation in reducing pollution levels.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Construction & Building Technology

Numerical evaluation of turbulence induced by wind and traffic, and its impact on pollutant dispersion in street canyons

Yu Zhao et al.

Summary: This study analyzed the characteristics of velocity, turbulence, pollutant dispersion, and pedestrian exposure levels in a nearly 400 m asymmetrical street canyon in Dalian, China. The results showed that neglecting the vehicle-induced turbulence effect could lead to significant underestimation of velocity and overestimation of pollutant concentration, emphasizing the importance of paying attention to pedestrian health during traffic rush hours.

SUSTAINABLE CITIES AND SOCIETY (2021)

Article Construction & Building Technology

Hybrid framework for rapid evaluation of wind environment around buildings through parametric design, CFD simulation, image processing and machine learning

Yi He et al.

Summary: A hybrid framework for rapid evaluation of pedestrian-level wind environment is proposed, integrating parametric design, CFD simulation, image processing, and machine learning to predict low-velocity areas around buildings efficiently.

SUSTAINABLE CITIES AND SOCIETY (2021)

Article Engineering, Civil

Large-eddy simulation of pollutant dispersion in generic urban street canyons: Guidelines for domain size

Xing Zheng et al.

Summary: Pollutant dispersion in urban street canyons has been extensively studied using large-eddy simulation (LES). This study investigates the impact of domain width, height, upstream and downstream lengths on wind flow and pollutant dispersion in a generic 2.5D street canyon. The results suggest specific guidelines for domain sizes to improve simulation accuracy and reduce computational costs.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2021)

Article Environmental Sciences

Designing roadside green infrastructure to mitigate traffic-related air pollution using machine learning

Khaled Hashad et al.

Summary: This study investigated five machine learning methods to predict the impact of vegetation barrier designs on particle concentrations, showing that random forest, neural networks, and XGBoost performed well and could aid communities in developing strategies to mitigate TRAP problems.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Geosciences, Multidisciplinary

Machine-learning models to replicate large-eddy simulations of air pollutant concentrations along boulevard-type streets

Moritz Lange et al.

Summary: Using regression models to replicate air pollutant concentrations in urban boulevards, this study found that log-linear regression performs best and most robustly on new independent data. The study also demonstrated the importance of detecting concept drift and avoiding overfitting when selecting models and features.

GEOSCIENTIFIC MODEL DEVELOPMENT (2021)

Article Energy & Fuels

Wake modeling of wind turbines using machine learning

Zilong Ti et al.

APPLIED ENERGY (2020)

Article Construction & Building Technology

The effect of turbulence induced by different kinds of moving vehicles in street canyons

Cunjin Cai et al.

Sustainable Cities and Society (2020)

Article Construction & Building Technology

The effect of exhaust emissions from a group of moving vehicles on pollutant dispersion in the street canyons

Tianhao Shi et al.

BUILDING AND ENVIRONMENT (2020)

Article Engineering, Civil

Dynamic Mode Decomposition on pressure flow field analysis: Flow field reconstruction, accuracy, and practical significance

Cruz Y. Li et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2020)

Article Construction & Building Technology

How dynamic growth of avenue trees affects particulate matter dispersion: CFD simulations in street canyons

Hongqiao Qin et al.

SUSTAINABLE CITIES AND SOCIETY (2020)

Article Construction & Building Technology

Spatiotemporal characteristics of PM2.5 and its associated gas pollutants, a case in China

Kena Mi et al.

SUSTAINABLE CITIES AND SOCIETY (2019)

Article Construction & Building Technology

CFD modelling of vegetation barrier effects on the reduction of traffic-related pollutant concentration in an avenue of Pamplona, Spain

Jose-Luis Santiago et al.

SUSTAINABLE CITIES AND SOCIETY (2019)

Article Construction & Building Technology

Ten questions concerning modeling of near-field pollutant dispersion in the built environment

Yoshihide Tominaga et al.

BUILDING AND ENVIRONMENT (2016)

Article Environmental Sciences

Characteristics of flow and reactive pollutant dispersion in urban street canyons

Soo-Jin Park et al.

ATMOSPHERIC ENVIRONMENT (2015)

Article Environmental Sciences

Large-eddy simulation of reactive pollutant dispersion for the spatial instability of photostationary state over idealised 2D urban street canyons

Tracy N. H. Chung et al.

INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION (2012)

Article Engineering, Civil

Validation of OpenFOAM 1.6.x with the German VDI guideline for obstacle resolving micro-scale models

J. Franke et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2012)

Article Engineering, Civil

CFD Modeling of Pollution Dispersion in Building Array: Evaluation of turbulent scalar flux modeling in RANS model using LES results

Yoshihide Tominaga et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2012)

Article Environmental Sciences

Intake fraction of nonreactive motor vehicle exhaust in Hong Kong

Zhiwen Luo et al.

ATMOSPHERIC ENVIRONMENT (2010)

Article Thermodynamics

Simulations of Air Distributions in Buildings by FFD on GPU

Wangda Zuo et al.

HVAC&R RESEARCH (2010)

Article Construction & Building Technology

Real-time or faster-than-real-time simulation of airflow in buildings

W. Zuo et al.

INDOOR AIR (2009)

Article Engineering, Civil

New inflow boundary conditions for modelling the neutral equilibrium atmospheric boundary layer in computational wind engineering

Yi Yang et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2009)

Review Environmental Sciences

Air pollution in mega cities in China

Chak K. Chan et al.

ATMOSPHERIC ENVIRONMENT (2008)

Article Engineering, Civil

AIJ guidelines for practical applications of CFD to pedestrian wind environment around buildings

Yoshihide Tominaga et al.

JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2008)

Article Environmental Sciences

Modeling reactive pollutant dispersion in an urban street canyon

Jong-Jin Baik et al.

ATMOSPHERIC ENVIRONMENT (2007)