Article
Chemistry, Physical
Guomin Ye, Yanfen Wan, Jiaming Wu, Wenbo Zhuang, Ziquan Zhou, Taosha Jin, Jinyu Zi, Dadong Zhang, Xuemin Geng, Peng Yang
Summary: Reasonable depletion of energy resource is critical for the advancement of human society. In this study, composite nanofibers were prepared by electrospinning to provide personal thermal comfort and tactile triboelectric nanogeneration. The output performance of the nanogenerator was optimized and achieved superior effective peak power density. This technology has important application value in the field of electronics.
Article
Computer Science, Hardware & Architecture
Anam Moin, Farhan Aadil, Zeeshan Ali, Dongwann Kang
Summary: Human emotions are subjective reactions to various changes in physiology, behavior, and intellect. The research community is increasingly interested in emotion recognition due to its wide range of applications such as human-computer interaction, virtual reality, self-driving, and medicine. This study proposes an efficient multimodal strategy for cross-subject emotion recognition using EEG and facial gestures, combining spectral and statistical features from EEG data with histogram of oriented gradients and local binary patterns features from facial images. Support vector machines, k-nearest neighbor, and ensemble classifiers are utilized for emotion classification, with the issue of class imbalance being addressed using the up-sampling approach. The proposed method achieves promising results with high accuracy rates of 97.25% for valence and 96.1% for arousal, respectively.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Multidisciplinary Sciences
Chenyan Song, Amy D. D. Droitcour, Shekh M. M. Islam, Avon Whitworth, Victor M. M. Lubecke, Olga Boric-Lubecke
Summary: Cognitive buildings can adjust lighting, temperature, ventilation, and other environmental parameters based on occupants' responses to the built environment. Doppler-radar based sensors have shown accurate occupancy detection and estimation of vital signs in challenging scenarios where other sensors fail. These sensors provide valuable information for space utilization optimization and can be used to improve human-building interactive systems.
SCIENTIFIC REPORTS
(2023)
Article
Thermodynamics
Soroush Mousavi, Mohammad Hossein Jahangir, Alibakhsh Kasaeian
Summary: The progression of data-driven methods has been accelerating in recent years, with machine learning methods being increasingly applied to load forecasting, energy consumption optimization, and predictive control models. However, the impact of HVAC setpoint temperature in combination with other parameters has been rarely investigated. This study utilized a neural network approach to optimize load based on thermal comfort, and the results showed that significant energy-saving potential exists in HVAC load optimization. The study also conducted economic and environmental analysis on the optimized hybrid renewable energy system.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Article
Construction & Building Technology
Xiaoyue Lang, Zheng Wang, Xiaoyu Tian, Yifeng Wu, Shuqing Zhu, Weiwei Liu
Summary: Climate warming can lead to extreme high indoor temperatures, which may pose a risk to work safety. This study found that extreme high indoor temperatures have effects on EEG signals, indicating potential damage to cognitive performance.
BUILDING AND ENVIRONMENT
(2022)
Review
Construction & Building Technology
Chun Yin Siu, William O'Brien, Marianne Touchie, Marianne Armstrong, Abdelaziz Laouadi, Abhishek Gaur, Zahra Jandaghian, Iain Macdonald
Summary: This paper provides a critical review of past modeling and simulation research on quantifying the thermal resilience of buildings and discusses future research needed to enhance practice and building codes. The paper defines a framework for building performance simulation-aided resilience quantification and reviews topics such as heat stress, resilience metrics, model assumptions, simulation tool capabilities, weather file selection, and visualization methods. The paper concludes with a discussion on fundamental research and future tool development needed to accelerate the transition from research to practice.
BUILDING AND ENVIRONMENT
(2023)
Article
Construction & Building Technology
Xue Feng, Eryan Bin Zainudin, Hong Wen Wong, King Jet Tseng
Summary: Traditional HVAC systems operate on a fixed schedule regardless of occupancy or external temperature. This paper proposes a machine learning-based approach using the ASHRAE RP-884 database to forecast the thermal comfort levels of building occupants. The results show high accuracy and low error in predicting the comfort levels.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Larissa Arakawa Martins, Veronica Soebarto, Terence Williamson
Summary: Personal thermal comfort models show promise in predicting thermal needs of older people in their homes and outperform traditional approaches. Further research is needed on combining physiological sensing, individualized predictive modeling, wearable comfort systems, and defining costs of thermal preference misclassification in the context of older individuals.
JOURNAL OF BUILDING ENGINEERING
(2022)
Review
Computer Science, Artificial Intelligence
Katerina D. Tzimourta, Vasileios Christou, Alexandros T. Tzallas, Nikolaos Giannakeas, Loukas G. Astrakas, Pantelis Angelidis, Dimitrios Tsalikakis, Markos G. Tsipouras
Summary: Alzheimer's Disease (AD) is a neurodegenerative disorder that can be diagnosed through various clinical procedures, with recent focus on analyzing electrophysiological dynamics. Most studies reviewed in this paper concentrate on AD detection and the correlation of quantitative EEG features with AD progression, often utilizing Support Vector Machines.
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
(2021)
Article
Energy & Fuels
Ruijun Chen, Yaw-Shyan Tsay
Summary: In recent years, the development of techniques and strategies for predicting building energy consumption and thermal comfort has been driven by increasing climate change. This study evaluated 25 features of an office building model and explored the effects of different sampling methods and input parameters on the prediction performance of building carbon emission and indoor discomfort hour using 10 machine learning algorithms. The results indicated that the Sobol sampling method achieved the best prediction effect in different combinations of features and machine learning algorithms. Additionally, the artificial neural network was the best learning algorithm when the contribution rate was 100%, but the optimal algorithm varied at different contribution rate stages.
Article
Biology
Xinge Han, Zhuqiang Hu, Chuan Li, Jiansong Wu, Chenming Li, Boyang Sun
Summary: In order to ensure both comfort and energy efficiency of intelligent temperature-controlled equipment, we designed a smart decision-making system that predicts the most appropriate thermal comfort adjustment mode based on environmental factors and human body parameters using supervised learning models. Through comparison and evaluation, we identified the Deep Forest model as the best performer, providing accurate application and simulation results.
JOURNAL OF THERMAL BIOLOGY
(2023)
Article
Construction & Building Technology
Roja Eini, Lauren Linkous, Nasibeh Zohrabi, Sherif Abdelwahed
Summary: Designing and developing smart buildings is a complex task due to the unique requirements and characteristics of each structure. This study combines machine learning with model-based control approaches to integrate subjective environmental parameters into building management. Additionally, the research integrates model-based and learning-based control schemes in a unified structure for controlling various aspects of building performance.
JOURNAL OF BUILDING ENGINEERING
(2021)
Review
Construction & Building Technology
Zahra Qavidel Fard, Zahra Sadat Zomorodian, Sepideh Sadat Korsavi
Summary: This paper provides a systematic review on the application of Machine Learning (ML) in thermal comfort studies. The results show that ML models, especially personal comfort models (PCMs), have higher prediction accuracy compared to traditional models and can significantly reduce energy consumption while improving indoor quality. The use of physiological parameters further enhances the accuracy of PCMs.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Shanshan Li, Xiaoyi Zhang, Yanxue Li, Weijun Gao, Fu Xiao, Yang Xu
Summary: Ensuring occupants' work or cognitive performance and maintaining thermal comfort are important targets of indoor thermal environment management. Advanced sensing technologies based on physiological measurements and machine learning (ML) approaches have provided a more precise and efficient way to assess the link between the indoor thermal environment and the performances of occupants. This review work integrates the results of cognitive tests related to the thermal environment and performance, summarizes the application of existing physiological indicators, and the practice of using sensing technologies and ML technology to assess occupant performance and predict indoor thermal comfort.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Thermodynamics
Xiang Zhou, Ling Xu, Jingsi Zhang, Lie Ma, Mingzheng Zhang, Maohui Luo
Summary: This study developed a data-driven thermal sensation prediction model using three quality-controlled thermal comfort databases and compared different machine-learning algorithms for prediction accuracy and rationality. The model was further improved by adding categorical inputs and establishing submodels and general models for different contexts. The final model achieved higher prediction accuracy and can be potentially used for the development of simple, accurate, and rational thermal sensation prediction tools.
BUILDING SIMULATION
(2022)
Article
Construction & Building Technology
Xi Xiao, Ashley C. Y. Tan, Cise Unluer, En-Hua Yang
Summary: This paper presents the development of a new type of functionally graded reactive magnesia cement-based bacteria spores (RMC-B) capsule for self-healing concrete. The capsule is designed with a gradient structure consisting of a dense shell and a porous and low alkaline core to protect and enhance the viability of bacteria spores. The addition of the RMC-B capsules maintains the strength of the matrix and enables self-healing of cracks. The inclusion of these capsules does not negatively affect hydration and fresh properties of the paste, while improving the compressive strength and crack healing performance.
CEMENT & CONCRETE COMPOSITES
(2023)
Article
Construction & Building Technology
Tangwei Mi, En-Hua Yang, Cise Unluer
Summary: This study characterizes and investigates the effects of MgO properties on the performance of Reactive MgO cement (RMC) powders. The results show that hydration progress is highly dependent on the reactivity of RMC, while the purity influences the early stages of the reaction. Additionally, the agglomeration ratio is strongly correlated with strength after 7 days of carbonation curing and 28 days of hydration. A regression analysis is used to propose a model for predicting strength based on the initial properties of RMC powder. The findings can serve as a guideline for selecting suitable RMC-based binders for different building applications.
CEMENT & CONCRETE COMPOSITES
(2023)
Article
Construction & Building Technology
Yiquan Liu, Dhanendra Kumar, Weiping Zhu, Zhitao Chen, Kang Hao Lim, Yi Ling Lai, Zhongting Hu, En-Hua Yang
Summary: Past studies have shown the feasibility of using municipal solid waste incineration bottom ash (IBA) as an aerating agent to produce autoclaved aerated concrete (AAC). However, the gas generation potential of the as-received IBA is lower compared to conventional aerating agents. This study proposes utilizing a specific fraction of IBA, called coarse non-ferrous IBA (CNF-IBA), as an aerating agent to produce AAC. Experimental investigations were conducted to compare the aeration kinetics, fresh and hardened properties of AACs produced with CNF-IBA, pure aluminum powder, and general IBA as aerating agents. The AAC with CNF-IBA exhibited the highest specific compressive strength, and leaching analysis showed the safety of using IBA as an aerating agent in AAC production.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Engineering, Chemical
S. H. Chu, E. H. Yang, C. Unluer
Summary: The precipitation of magnesium from marine-derived feedstocks has environmental and economic advantages, but the energy consumption during the calcination process is a challenge. This study demonstrated the synthesis of reactive magnesium oxide from simulated waste brine. The optimization of calcination conditions can reduce energy demand and improve the properties of MgO.
Article
Construction & Building Technology
Cem Sonat, Dhanendra Kumar, Wee Chen Koh, Junxia Li, Cise Unluer, En-Hua Yang
Summary: This study develops a strain hardening magnesiumsilicate-hydrate composite with an extremely low fiber volume fraction of 0.5% using a micromechanics-guided design approach. The composite exhibits a tensile strain capacity of 7.2%, a tensile strength of 2.24 MPa, and a compressive strength of 86.1 MPa. The fiber/matrix interfacial bond is characterized, and the micromechanics-based assessment of critical fiber volume fraction is conducted. The sustainability and potential for further reducing embodied carbon and primary energy are evaluated and compared with Portland cement-based composites.
CEMENT & CONCRETE COMPOSITES
(2023)
Article
Construction & Building Technology
Shan He, Yu Chen, Minfei Liang, En-Hua Yang, Erik Schlangen
Summary: This study examines the changes in microstructure of cement paste caused by the inclusion of polymeric microfiber under different water-to-cement ratios. It also presents a method to quantify the porosity of epoxy impregnated interfacial transition zone (ITZ). The results show that the microstructures of the ITZ below and above a microfiber are significantly different, with the lower ITZ having a higher porosity. The porosity gradients of the lower ITZs become steeper with higher water-to-cement ratio.
CEMENT & CONCRETE COMPOSITES
(2023)
Article
Construction & Building Technology
Xi Xiao, Cise Unluer, Shaohua Chu, En-Hua Yang
Summary: Self-healing of cracks in concrete can be achieved through microbial induced calcite precipitation. A new approach using single bacteria spore capsule, formed by layer-by-layer self-assembly of poly(dimethyldiallyl ammonium chloride) and silica nanoparticles, is proposed to enhance the consistency of healing and minimize the negative impact on mechanical properties of concrete. The inclusion of the capsules, with a size of 1 μm, does not compromise the compressive strength of the matrix. Cement paste incorporating the capsules shows complete closure of large cracks and recovery of transport property along the entire crack.
CEMENT & CONCRETE COMPOSITES
(2023)
Article
Construction & Building Technology
Tangwei Mi, En-Hua Yang, Cise Unluer
Summary: This study evaluated the feasibility of using small proportions of Portland cement (PC) in reactive MgO cement (RMC) systems to promote the passivation of reinforcing steel. The results showed that the inclusion of 2% or more PC in RMC enabled the passivation of steel, resulting in the formation of a thicker passive film, mainly attributed to the increased pH of the pore solution.
CEMENT & CONCRETE COMPOSITES
(2023)
Article
Construction & Building Technology
Xi Xiao, Dion S. W. Ho, En-Hua Yang
Summary: Encapsulating bacteria in self-healing concrete using the MgO-SiO2 formulation can maintain the strength and promote effective self-healing. The capsule showed long-term stability with stable concentration of viable bacteria.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Engineering, Chemical
Haoliang Dong, Xi Xiao, En-Hua Yang, Cise Unluer
Article
Construction & Building Technology
Yiquan Liu, Dhanendra Kumar, Kang Hao Lim, Yi Ling Lai, Zhongting Hu, Krishnan U. Ambikakumari Sanalkumar, En-Hua Yang
Summary: Contrary to previous research, this study strategically utilizes municipal solid waste incineration bottom ash (IBA) in autoclaved aerated concrete (AAC) to improve its efficiency and enhance its properties. A systematic classification approach is used to determine suitable fractions of IBA for each ingredient, resulting in higher strength AAC due to the formation of pure tobermorite gel. The leaching test confirms the safe utilization of AAC during and after its service life, while the utilization of classified IBA optimizes the amount that can be incorporated.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Environmental Sciences
Anant Mishra, Mukund Lahoti, En-Hua Yang
Summary: This article discusses the production of cementless geopolymer binder using electric arc furnace slag (EAFS) and fly ash as industrial by-products. Taguchi-grey optimization is used to investigate the effects of mix design parameters. The optimal mix of 75-25% EAFS and fly ash resulted in a compressive strength of about 39 MPa, with the presence of C-A-S-H and N-A-S-H gels. The microstructural development, mechanical properties, and durability of the geopolymer paste were also studied.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Acoustics
Ali Aryo Bawono, Nen NguyenDinh, Janaki Thangaraj, Maximilian Ertsey-Bayer, Christoph Simon, Bernhard Lechner, Stephan Freudenstein, En-Hua Yang
Summary: This study investigates the acoustic performance of pavement slabs made of modified strain-hardening cementitious composite (SHCC) and modified SHCC-Cor. The results show that the surface roughness of SHCC-Cor is rougher than SHCC, resulting in higher noise levels. Introducing grooves on the SHCC-Cor surface successfully reduces the noise level from vibration.
Review
Construction & Building Technology
Shreyas Pranav, Mukund Lahoti, G. Muthukumar, En-Hua Yang
Summary: A significant proportion of global road networks use asphalt as the construction material. Engineered Cementitious Composite (ECC) has been suggested as an alternative, but most studies focus on its use as an overlay rather than a full-depth pavement material. ECC has potential advantages in pavement applications, such as eliminating slab joints and reducing reflective cracking, but it also faces challenges like low skid resistance and high construction cost.
CONSTRUCTION AND BUILDING MATERIALS
(2023)
Article
Engineering, Environmental
Dhanendra Kumar, Yiquan Liu, En-Hua Yang
Summary: This study presents a simplified kinetics model for hydrogen gas generation from metallic aluminum in incineration bottom ash (IBA). The model was calibrated and validated using experimental data, showing that the reaction kinetics are influenced by temperature and can be controlled by either reaction or diffusion. The presented model is expected to improve the understanding and guide the development of aerated composites using IBA as an aerating agent.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Construction & Building Technology
Parth Bansal, Steven Jige Quan
Summary: This study investigates the relationship between urban form and canopy layer urban heat island (CUHI) using a relatively large sample of microclimate sensors in Seoul, Korea. The study compares different statistical models and finds that the spatially explicit gradient boosting decision tree (GBDT) model has the highest accuracy. The study also shows that the effect of urban form on CUHI varies at different time instances during the day. These findings provide valuable insights for planners to understand the complexity of urban climate and reduce CUHI magnitude.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Miaomiao Liu, Salah Almazmumi, Pinlu Cao, Carlos Jimenez-bescos, John Kaiser Calautit
Summary: Windcatchers provide effective low-energy ventilation and summer passive cooling in temperate climates. However, their use in winter is limited due to significant ventilation heat loss and potential discomfort. This study evaluates the applicability of windcatchers in low-temperature conditions, highlighting the need for control strategies to reduce over-ventilation and the integration of heat recovery or thermal storage to enhance winter thermal conditions.
BUILDING AND ENVIRONMENT
(2024)
Review
Construction & Building Technology
Behrouz Nourozi, Aneta Wierzbicka, Runming Yao, Sasan Sadrizadeh
Summary: This article presents a systematic review of ventilation solutions in hospital wards, aiming to enhance pathogen removal performance while maintaining patient and healthcare staff comfort using air-cleaning techniques. The study reveals the importance of proper ventilation systems in reducing infection risk and adverse effects of cross-contamination.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhen Yang, Weirong Zhang, Hongkai Liu, Weijia Zhang, Mingyuan Qin
Summary: The study examines the influence of personalized local heating on the thermal comfort of occupants in old residential buildings. The findings reveal that personalized local heating can increase the overall thermal sensation of occupants, but only a few methods are effective in enhancing thermal comfort. The chosen heating methods and background temperature affect the participants' selection of heating parts.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Hong Cheng, Dan Norback, Huilin Zhang, Liu Yang, Baizhan Li, Yinping Zhang, Zhuohui Zhao, Qihong Deng, Chen Huang, Xu Yang, Chan Lu, Hua Qian, Tingting Wang, Ling Zhang, Wei Yu, Juan Wang, Xin Zhang
Summary: The home environment and sick building syndrome (SBS) symptoms in five southern Chinese cities have been studied over time. The study found a decrease in asthma prevalence and an increase in allergic rhinitis. Cockroaches, rats, mice, mosquitoes or flies were identified as consistent biological risk factors for SBS symptoms, while redecoration, buying new furniture, and traffic air pollution were identified as other risk factors.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Chaojie Xing, Zhengtao Ai, Zhiwei Liu, Cheuk Ming Mak, Hai Ming Wong
Summary: This study experimentally investigated the emission characteristics of droplets around the mouth during dental treatments. The results showed that the peak mass fraction of droplets occurs within the size range of 20 μm to 100 μm, and droplets with a diameter less than 200 μm account for over 80% of the mass fraction. The dominant emission direction of droplets is towards the dummy's head and chest, forming an approximately cone shape.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Zhijian Liu, Zhe Han, Lina Hu, Chenxing Hu, Rui Rong
Summary: This study compared the effects of different respiratory behaviors on the distribution of aerosols in a ward and the risk of infection for healthcare workers using numerical simulation. It was found that talking in the ward significantly increased aerosol concentrations, particularly short periods of talking. Wards designed with side-supply ventilation had lower overall infection risk. Talking alternately between healthcare workers and patients slightly extended the impact time of aerosols.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Yan, Mengyuan Kang, Haodong Zhang, Zhiwei Lian, Xiaojun Fan, Chandra Sekhar, Pawel Wargocki, Li Lan
Summary: In a high-density city, opening windows for sleep may lead to increased indoor temperature, higher PM2.5 concentration, and noise disturbance, which can negatively impact sleep quality.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yan Bai, Liang Liu, Kai Liu, Shuai Yu, Yifan Shen, Di Sun
Summary: This study developed a non-intrusive personal thermal comfort model using machine learning techniques combined with infrared facial recognition. The results showed that the ensemble learning models perform better than traditional models, and the broad learning model has a higher prediction precision with lower computational complexity and faster training speed compared to deep neural networks. The findings provide a reference for optimizing building thermal environments.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Yue Lei, Zeynep Duygu Tekler, Sicheng Zhan, Clayton Miller, Adrian Chong
Summary: Mixed-mode ventilation is a promising solution for achieving energy-efficient and comfortable indoor environments. This study found that occupants can thermally adapt when switching between natural ventilation (NV) and air-conditioning (AC) modes within the same day, with the adaptation process stabilizing between 35 to 45 minutes after the mode switch. These findings are important for optimizing thermal comfort in mixed-mode controls, considering the dynamic nature of thermal adaptation.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Nan Mo, Jie Han, Yingde Yin, Yelin Zhang
Summary: This study develops a method based on the LCZ framework for a comprehensive evaluation of urban-scale heat island effects, considering the impact of geographic factors on LST. The results show that Guilin's geomorphological conditions lead to abnormal heat island effects during winter, and the cooling effects of mountains and water bodies vary seasonally in different built areas, with LCZ 2 exhibiting the strongest cooling effect.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Tunga Salthammer
Summary: Monitoring the potential formaldehyde emission of wood-based materials through test chamber investigations has significantly contributed to reducing indoor formaldehyde concentrations. However, the different methodologies used in these procedures prevent direct result comparison. Empirical models for converting formaldehyde steady-state concentrations based on temperature, humidity, air change rate, and loading were developed in the 1970s and have been modified to accommodate the development of lower-emitting materials. Formaldehyde emissions from wood-based materials are complex and require nonlinear regression tools for mathematical analysis.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Katarina Stebelova, Katarina Kovacova, Zuzana Dzirbikova, Peter Hanuliak, Tomas Bacigal, Peter Hartman, Andrea Vargova, Jozef Hraska
Summary: This study investigated the impact of reduced short-wavelength light on the hormone melatonin metabolite 6-sulfatoxymelatonin (u-sMEL) and examined the association between previous day's light exposure and u-sMEL. It was found that reducing short-wavelength light during the day did not change the concentration of u-sMEL. Personal photopic illuminance was positively correlated with u-sMEL in the reference week. The illuminance had a significant impact on u-sMEL, as shown by the evaluation of the mean of all three urine samples. However, this correlation was not found in the experimental week.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Ruoxin Xiong, Ying Shi, Haoming Jing, Wei Liang, Yorie Nakahira, Pingbo Tang
Summary: This study proposes a data-model integration method to identify and calibrate uncertainties in machine learning models, leading to improved thermal perception predictions. The method utilizes the Multidimensional Association Rule Mining algorithm to identify biased human responses and enhances prediction accuracy and reliability. The study also evaluates different calibration techniques and discovers their potential in enhancing prediction reliability.
BUILDING AND ENVIRONMENT
(2024)
Article
Construction & Building Technology
Beichao Hu, Zeda Yin, Abderrachid Hamrani, Arturo Leon, Dwayne McDaniel
Summary: This paper introduces an innovative super-resolution approach to model the air flow and temperature field in the cold aisle of a data center. The proposed method reconstructs a high-fidelity flow field by using a low-fidelity flow field, significantly reducing the computational time and enabling real-time prediction.
BUILDING AND ENVIRONMENT
(2024)
