Article
Chemistry, Analytical
Vincent J. L. Gan, Han Luo, Yi Tan, Min Deng, H. L. Kwok
Summary: This paper presents a new computational framework based on BIM and machine learning models to analyze the impact of natural ventilation on indoor thermal comfort, using CFD modeling and neural network analysis. The study finds that while natural ventilation can save energy consumption, it may not fully meet all thermal comfort criteria, so seasonal performance variations should be considered.
Article
Construction & Building Technology
C. Hirose, N. Ikegaya, A. Hagishima, J. Tanimoto
Summary: This study characterized indoor airflow and occupants' thermal sensations in a cross-ventilated building model sheltered by cube arrays based on large-eddy simulations. Four ventilation models with different openings and block arrangements were examined to understand the effects on wind speed deviations, ventilation rate estimation accuracy, and predicted thermal comfort indices. The study found significant differences in airflow distribution at openings under various conditions, impacting ventilation rate estimations and thermal comfort assessments.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Yi Wang, Tongtong Zhao, Zhixiang Cao, Chao Zhai, Songheng Wu, Chen Zhang, Qiyue Zhang, Wenchao Lv
Summary: Natural ventilation in industrial workshops is influenced by the wind and buoyancy generated by downstream workshop's heat source, which can be evaluated using the Richardson number. When the Richardson number is less than 1.6, airflow is mainly wind-driven; when it is greater than 1.6, the effect of buoyancy becomes significant.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Hiroki Ikeda, Takashi Nakaya, Akito Nakagawa, Yoshihiro Maeda
Summary: Thermal comfort can be evaluated using heat balance models and adaptive thermal comfort models. In this study, prediction accuracy of different indices were compared for occupants' thermal sensation, with results showing that PMVG predicted thermal sensation more accurately than PMV and TSENS. Additionally, the adaptive predicted mean vote (aPMV) improved predictive accuracy at high temperatures.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
Zhixiang Cao, Yuqing Bai, Yi Wang, Yifan An, Chen Zhang, Tongtong Zhao, Chao Zhai, Wenchao Lv, Yu Zhou, Songheng Wu
Summary: This study evaluates the effects of thermal buoyancy-driven pollution sources on the vortex flow field and pollutant removal efficiency of a vortex ventilation system through experiments and numerical simulations. The results show that an increase in the buoyancy flux of the pollution source leads to changes in the vortex flow field and reduces the pollutant capture efficiency. Additionally, based on pollutant capture efficiency, the performance of the vortex airflow system in capturing high-temperature buoyancy-driven pollutants can be classified into low-efficiency, transition, high-efficiency, and invalid zones.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
P. H. Nimarshana, R. A. Attalage, K. Kapila C. K. Perera
Summary: This study investigates the impact of different RANS turbulence models on the airflow distribution and thermal comfort in horizontal planes of a building. The results show that different turbulence models exhibit distinct airflow patterns, and there are significant differences in airflow distribution and thermal comfort in horizontal planes. Therefore, acquiring accurate wind tunnel data in horizontal planes is necessary for CFD model validation.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Biology
Ayesha Asif, Muhammad Zeeshan, Shoaib Raza Khan, Nabia Farrukh Sohail
Summary: This study conducted a field survey to assess indoor thermal comfort and compared the accuracy of three comfort temperature prediction models. The results showed that there was no statistical difference in indoor comfort temperature between genders, although there were differences in thermal sensation votes. Logistic regression method performed better in terms of accuracy.
JOURNAL OF THERMAL BIOLOGY
(2022)
Article
Construction & Building Technology
MinHo Kim, Hyung-Jun Park
Summary: The study proposes a new approach based on artificial neural network (ANN) for predicting thermodynamic parameters in an indoor environment. The approach consists of two independently trained ANN models, where the outputs of the first model are used as inputs to the second model. The predicted velocity distribution from the first model is employed as an additional input for the second model. The proposed approach outperforms existing ANN models and provides a reasonable solution for indoor airflow prediction.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Energy & Fuels
Piotr Michalak
Summary: Natural ventilation is widely used in Polish residential buildings, but its performance is affected by environmental conditions. This paper proposes the integration of buoyancy effect and hourly simulation method to calculate energy use for heating and cooling. The study demonstrates the effectiveness of using a cooling system to reduce overheating.
Article
Mechanics
Yun Chang, Alberto Scotti
Summary: This paper examines the early stage of radiatively driven convection and finds that perturbations grow exponentially over time, with the system characteristics determined by the Reynolds number.
JOURNAL OF FLUID MECHANICS
(2023)
Article
Construction & Building Technology
Jing Pu, Yanping Yuan, Fujian Jiang, Kaijie Zheng, Kaiming Zhao
Summary: This study investigates the buoyancy-driven natural ventilation of a high-temperature corridor using computational fluid dynamics simulation. The height of the heat source bottom was found to have a significant effect on the indoor thermal environment.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Thomas D. Higton, Henry C. Burridge, Graham O. Hughes
Summary: This study examines the ventilation flows generated by a localised heat source within a room with two openings to the ambient environment. It is found that displacement ventilation flow can persist under certain conditions, however, an unbalanced exchange flow forms across the doorway as the interface within the room changes position.
BUILDING AND ENVIRONMENT
(2021)
Article
Thermodynamics
Jose Luis Fernandez-Zayas, Juan Francisco Villa-Medina, Norberto Chargoy-del Valle, Miguel Angel Porta-Gandara
Summary: An experiment was conducted in a ten-story office building in Mexico City to evaluate natural ventilation, aiming to establish basic design considerations for effective ventilation. The results from temperature measurements, based on a simple mathematical model, showed consistent airflow patterns and specific characteristics of the ventilation phenomenon. The study validated the feasibility of using natural ventilation to provide passive thermal comfort throughout the year in Mexico City.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Peng-Yi Cui, Wei-Qiu Chen, Jia-Qi Wang, Jin-Hao Zhang, Yuan-Dong Huang, Wen-Quan Tao
Summary: This study investigated the Re-independence of indoor airflow and pollutant dispersion within an isolated building using numerical models validated by wind-tunnel experiments. The critical Reynolds number for indoor flow and turbulent diffusion was found to be position-dependent and should be suggested as the optimal value at the most unfavorable position. The study recommends different critical Reynolds numbers for outdoor and indoor flows, and emphasizes that indoor pollutant diffusion is completely determined by flow structures.
BUILDING SIMULATION
(2022)
Article
Construction & Building Technology
Adnan I. Khdair, Ghaida Abu Rumman
Summary: This study investigates the effect of natural ventilation in reducing indoor temperature in hot and desert regions. Numerical analysis shows that natural ventilation, in addition to mechanical ventilation, can reduce building power usage and maintain indoor temperature within the comfort range.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Samiran Khorat, Debashish Das, Rupali Khatun, Sk Mohammad Aziz, Prashant Anand, Ansar Khan, Mattheos Santamouris, Dev Niyogi
Summary: Cool roofs can effectively mitigate heatwave-induced excess heat and enhance thermal comfort in urban areas. Implementing cool roofs can significantly improve urban meteorology and thermal comfort, reducing energy flux and heat stress.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Qi Li, Jiayu Chen, Xiaowei Luo
Summary: This study focuses on the vertical wind conditions as a main external factor that limits the energy assessment of high-rise buildings in urban areas. Traditional tools for energy assessment of buildings use a universal vertical wind profile estimation, without taking into account the unique wind speed in each direction induced by the various shapes and configurations of buildings in cities. To address this limitation, the study developed an omnidirectional urban vertical wind speed estimation method using direction-dependent building morphologies and machine learning algorithms.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Xiaojun Luo, Lamine Mahdjoubi
Summary: This paper presents an integrated blockchain and machine learning-based energy management framework for multiple forms of energy allocation and transmission among multiple domestic buildings. Machine learning is used to predict energy generation and consumption patterns, and the proposed framework establishes optimal and automated energy allocation through peer-to-peer energy transactions. The approach contributes to the reduction of greenhouse gas emissions and enhances environmental sustainability.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ying Yu, Yuanwei Xiao, Jinshuai Chou, Xingyu Wang, Liu Yang
Summary: This study proposes a dual-layer optimization design method to maximize the energy sharing potential, enhance collaborative benefits, and reduce the storage capacity of building clusters. Case studies show that the proposed design significantly improves the performance of building clusters, reduces energy storage capacity, and shortens the payback period.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Felix Langner, Weimin Wang, Moritz Frahm, Veit Hagenmeyer
Summary: This paper compares two main approaches to consider uncertainties in model predictive control (MPC) for buildings: robust and stochastic MPC. The results show that compared to a deterministic MPC, the robust MPC increases the electricity cost while providing complete temperature constraint satisfaction, while the stochastic MPC slightly increases the electricity cost but fulfills the thermal comfort requirements.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Somil Yadav, Caroline Hachem-Vermette
Summary: This study proposes a mathematical model to evaluate the performance of a Double Skin Facade (DSF) system and its impact on indoor conditions. The model considers various design parameters and analyzes their effects on the system's electrical output and room temperature.
ENERGY AND BUILDINGS
(2024)
Article
Construction & Building Technology
Ruijun Chen, Holly Samuelson, Yukai Zou, Xianghan Zheng, Yifan Cao
Summary: This research introduces an innovative resilient design framework that optimizes building performance by considering a holistic life cycle perspective and accounting for climate projection uncertainties. The study finds that future climate scenarios significantly impact building life cycle performance, with wall U-value, windows U-value, and wall density being major factors. By using ensemble learning and optimization algorithms, predictions for carbon emissions, cost, and indoor discomfort hours can be made, and the best resilient design scheme can be selected. Applying this framework leads to significant improvements in building life cycle performance.
ENERGY AND BUILDINGS
(2024)