Article
Chemistry, Multidisciplinary
Shaoning Pang, Lei Song, Abdolhossein Sarrafzadeh, Guy Coulson, Ian Longley, Gustavo Olivares
Summary: This study uses correlation coefficients technique to detect emission sources in indoor environments, considering secondary pollution and calculating intra pollutants correlation coefficients. Experiments successfully identify seven major indoor emission sources and improve detection accuracy compared to traditional methods.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Sciences
Jinxin Xie, Lin Tao, Da Chen, Hongli Tan, Fengjiang Sun, Liu Yang, Yunjiang Yu, Yichao Huang
Summary: This study investigated indoor organic pollutants sources and contributions using quantitative fatty acid signature analysis (QFASA) of dust, finding that clothing is the predominant carrier for OPFRs in indoor environment. The results suggest that clothing materials may play a significant role in the transfer of organic pollutants indoors.
ENVIRONMENT INTERNATIONAL
(2021)
Article
Construction & Building Technology
Qianru Chen, Haidong Wang, Yuwei Dai, Yibing Hu
Summary: This study combines the joint probability method and coarse-grid CFD method with the multi-zone model method to accelerate the process of obtaining the indoor airflow field and performing the inverse calculation of indoor airborne contaminant source location, improving accuracy and computational efficiency.
INDOOR AND BUILT ENVIRONMENT
(2022)
Article
Chemistry, Analytical
Qinggang Meng, Yulan Lu, Junbo Wang, Deyong Chen, Jian Chen
Summary: This paper presents a piezoresistive pressure sensor based on SOI, with optimized design for increased sensitivity and reduced nonlinearity. The sensor is fabricated in a simplified process and shows high sensitivity, low hysteresis, good repeatability and accuracy in different temperature environments.
Article
Chemistry, Multidisciplinary
Hiroaki Jinno, Sunil B. Shivarudraiah, Rasmussen Asbjorn, Gianluca Vagli, Tommaso Marcato, Felix Thomas Eickemeyer, Lukas Pfeifer, Tomoyuki Yokota, Takao Someya, Chih-Jen Shih
Summary: Ultraflexible self-powered perovskite sensors are developed by integrating high-performance solar cells and monochromatic light-emitting diodes (LEDs). These ultraflexible perovskite solar cell modules power ultraflexible perovskite nanocrystal LEDs (PNC-LEDs) even with the indoor light, with excellent power-conversion and current efficiencies of 18.2% and 15.2 cd A-1, respectively. The narrowband electroluminescence (EL) of PNC-LED eliminates Fabry-Perot (FP) interference, resulting selective photo-plethysmography with a signal selectivity of 98.2%.
ADVANCED MATERIALS
(2023)
Article
Thermodynamics
John E. E. Castellini Jr, Cary A. A. Faulkner, Wangda Zuo, Michael D. D. Sohn
Summary: In this study, a quantitative method for estimating the spatiotemporal variability of a room is proposed, based on influential room parameters. After simulating contaminant dispersion for different source locations, it was found that the standard deviation in the spatial distribution of exposure during the releasing period was approximately 28% of the source average exposure, while the variability in different average exposures was lower, only 10% of the total average. The results demonstrate that systematically characterizing a room's average concentration, its variability, and the spatial variability within the room can provide important insights into the uncertainty in occupant exposures relative to well-mixed models.
BUILDING SIMULATION
(2023)
Article
Mechanics
Jinghong Qin
Summary: This paper investigates the inverted stochastic lattice Boltzmann-Lagrangian approach for identifying indoor particulate pollutant sources. The dynamics of indoor air and the transport of particles are solved using the lattice Boltzmann method, while the interaction between lattice fluid and particle movement is calculated through interaction force and void fraction. Based on the softball model, the particle-wall collision process is described to understand the dynamic characteristics of the particles. The results demonstrate that this approach provides a clear understanding of particle paths and mechanism, enabling the accurate identification of indoor particulate pollutant sources. This research contributes to the theoretical modeling of multi-phase particle fluids.
THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS
(2023)
Article
Environmental Sciences
Hai Zhu, Shengjie Lu, Lingling Wang, Jieru Xu, Saiyu Yuan
Summary: The process of pollutant mixing in meandering rivers is influenced by secondary flow and turbulence. A 3D large-eddy simulation model was established to investigate the influence of different point source release positions on the mixing process. The results show that the position of the point source significantly affects the mixing efficiency and spatial distribution of the pollutant.
Article
Environmental Sciences
Joseph Rossabi, Dennis G. Jackson, Holly H. Vermeulen, Brian B. Looney
Summary: An in situ field study in South Carolina revealed that dense non-aqueous phase liquids can migrate over 650 m in groundwater and persist for more than three decades. This finding advances the understanding of the mechanisms behind the persistence of contaminated plumes.
COMMUNICATIONS EARTH & ENVIRONMENT
(2022)
Article
Engineering, Environmental
M. Barati Moghaddam, M. Mazaheri, J. Mohammad Vali Samani, F. Boano
Summary: This study presents an innovative method for the simultaneous identification of the location and release history of pollutant sources in river networks using minimum observational data. The method involves determining the number and location of pollutant sources by defining two types of monitoring stations and collecting real-time data, and then solving the inverse source problem using a geostatistical approach. Different scenarios are discussed for different conditions of pollutant sources in the river network.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Review
Environmental Sciences
Jinze Wang, Wei Du, Yali Lei, Yuanchen Chen, Zhenglu Wang, Kang Mao, Shu Tao, Bo Pan
Summary: Indoor air quality is important for human health, but traditional filter-based monitoring cannot capture the large spatiotemporal heterogeneity of indoor air pollution. Real-time monitoring has made significant strides in indoor air evaluation by enabling dynamic and massive analysis. Real-time sensors used in indoor air evaluation have advantages in high spatiotemporal resolution, 3-dimensional monitoring, pollution peak and source identification, and short-term health effect evaluation. However, challenges remain in sensor selection, performance, stability, and calibration. Future developments include sensors with high performance and low energy consumption, as well as simultaneous detection of multiple target air pollutants in indoor air monitoring.
ENVIRONMENT INTERNATIONAL
(2023)
Article
Chemistry, Analytical
Jorge H. Torres, Vincent A. Rosa, Patricia D. Barreto, Jose C. Barreto
Summary: In this study, a titanium oxide-based sensor system was developed and used to detect naphthalene in air. The sensor showed high sensitivity and a reproducible response pattern, indicating its potential application in quantitative analysis of naphthalene in ambient air.
Article
Construction & Building Technology
Suwan Zhou, Canxin Zhang, Hao Cai, Biao Zhang, Qilin Feng, Lihang Feng, Fei Li, Bin Zhou
Summary: The research aims to find effective multi-robot olfaction methods for locating time-varying sources in naturally ventilated indoor environments. Experimental results showed that the IPSO and IWOA methods achieved higher success rates and shorter localization time compared to the SPSO and WUII methods, indicating their superiority in locating time-varying sources.
BUILDING AND ENVIRONMENT
(2022)
Article
Environmental Sciences
Wayne R. Oaks, Kevin Flora, Ali Khosronejad
Summary: In urban areas with closely packed buildings, pollutants released can be transported by turbulent airflow, and studying the dynamics of turbulent flow around buildings can help predict contaminant plume propagation. High-resolution simulation of airflow can provide insights into the transport of contaminants and their movement in urban areas.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Chemistry, Analytical
Joseph Rosenberger, Zhong Guo, Austin Coffman, Duzgun Agdas, Prabir Barooah
Summary: We propose an open-source wireless network and data management system for collecting and storing indoor environmental measurements and perceived comfort in commercial buildings. The system, called a PCIEM platform, includes devices placed in office areas, a wireless network, and a remote database. Each device, PCFN, has a touchscreen for occupants to provide feedback and sensors to collect environmental data. The platform aims to enable personalized comfort control in real-time. Lessons learned from the design, prototyping, and deployment of a few PCFNs in a commercial building are described.
Article
Thermodynamics
Muzaffar Ali, Vladimir Vukovic, Nadeem Ahmed Sheikh, Hafiz M. Ali, Mukhtar Hussain Sahir
APPLIED THERMAL ENGINEERING
(2015)
Article
Thermodynamics
Muzaffar Ali, Vladimir Vukovic, Nadeem Ahmed Sheikh, Hafiz M. Ali
ENERGY CONVERSION AND MANAGEMENT
(2015)
Article
Construction & Building Technology
Sergio Rodriguez-Trejo, Ahmad Mohammad Ahmad, Mian Atif Hafeez, Huda Dawood, Vladimir Vukovic, Mohamad Kassem, Khalid K. Naji, Nashwan Dawood
SUSTAINABLE CITIES AND SOCIETY
(2017)
Article
Energy & Fuels
Muzaffar Ali, Vladimir Vukovic, Hafiz Muhammad Ali, Nadeem Ahmed Sheikh
JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME
(2018)
Article
Thermodynamics
Muzaffar Ali, Vladimir Vukovic, Mukhtar Hussain Sahir, Daniele Basciotti
APPLIED THERMAL ENGINEERING
(2013)
Article
Construction & Building Technology
Jelena Srebric, Vladimir Vukovic, Guoqing He, Xudong Yang
BUILDING AND ENVIRONMENT
(2008)
Article
Construction & Building Technology
Muzaffar Ali, Vladimir Vukovic, Mukhtar Hussain Sahir, Giuliano Fontanella
ENERGY AND BUILDINGS
(2013)
Article
Thermodynamics
Giuliano Fontanella, Daniele Basciotti, Florian Dubisch, Florian Judex, Anita Preisler, Christian Hettfleisch, Vladimir Vukovic, Tim Selke
BUILDING SIMULATION
(2012)
Article
Thermodynamics
Aizaz Kashif, Muzaffar Ali, Nadeem Ahmed Sheikh, Vladimir Vukovic, M. Shehryar
APPLIED THERMAL ENGINEERING
(2020)
Article
Energy & Fuels
Edgar Segovia, Vladimir Vukovic, Tommaso Bragatto
Summary: This paper analyzes the most common forecasting algorithms used in electrical grids and demonstrates clear differences in accuracy between forecasting active and reactive power demand.
Article
Green & Sustainable Science & Technology
Vishak Dudhee, Vladimir Vukovic
Summary: This paper explores the integration of building information modelling (BIM) and augmented reality (AR) and evaluates the currently available AR tools. The investigation found that model positioning may be inaccurate and only static building information can be visualised in AR. It is recommended to integrate data from Internet of Things (IoT) sensors to improve accuracy and quality of visualisation.
SMART AND SUSTAINABLE BUILT ENVIRONMENT
(2023)
Proceedings Paper
Computer Science, Information Systems
Mian Atif Hafeez, Racha Chahrour, Vladimir Vukovic, Nashwan Dawood, Mohamad Kassem
PRODUCT LIFECYCLE MANAGEMENT IN THE ERA OF INTERNET OF THINGS, PLM 2015
(2016)
Article
Engineering, Civil
Joao Patacas, Nashwan Dawood, Vladimir Vukovic, Mohamad Kassem
JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION
(2015)