Article
Environmental Sciences
Prashant Kumar, Nidhi Rawat, Arvind Tiwari
Summary: A naturally-ventilated operational classroom was monitored to assess the spatial variations of classroom air pollution, thermal comfort, and ventilation indicators under different scenarios. The study found that CO2 and PM10 concentrations varied over time rather than space. Two air purifiers were most effective when placed in the most polluted area of the classroom. This study provides high-resolution data for validating detailed numerical models and informing decision-making to reduce children's exposure to air pollution and re-breathed CO2.
ENVIRONMENTAL RESEARCH
(2023)
Article
Construction & Building Technology
Chali Yadeta, Madhavi Indraganti, Gudina Terefe Tucho, Esayas Alemayehu
Summary: This study investigates thermal comfort, adaptive models, and behavioral adaptations in naturally ventilated residential buildings in Jimma town, Ethiopia. The research finds that a majority of occupants feel uncomfortable with the environmental temperature but are able to adapt through environmental adjustments, clothing choices, and activity levels.
ENERGY AND BUILDINGS
(2023)
Article
Thermodynamics
Dalia Ghaddar, Mariam Itani, Nesreen Ghaddar, Kamel Ghali, Joseph Zeaiter
Summary: This study developed a standalone autonomously controlled personalized ventilation unit in a naturally ventilated office space to maintain acceptable thermal comfort. The NV-PV proportional integral derivative controller adjusted the supply temperature based on predicted thermal comfort levels, with adaptive tuning coefficients found using the Internal Model Control method. The controller was able to maintain acceptable thermal comfort under transient indoor conditions and activity levels.
BUILDING SIMULATION
(2021)
Article
Construction & Building Technology
Carlos Zepeda-Gil, Sukumar Natarajan
Summary: The study indicates that a significant portion of Mexico's population lacks adequate housing conditions, especially under cold winter climates. Current Mexican houses are unable to provide sufficient indoor thermal comfort environments, indicating the need for a more extensive insulation program.
BUILDING AND ENVIRONMENT
(2022)
Article
Thermodynamics
Dhahri Maher, Aouinet Hana, Jamal Tabe Arjmand, Alibek Issakhov, Habib Sammouda, Mikhail Sheremet, Shubham Sharma
Summary: The study investigates the impact of window openings position on natural ventilation system performance using CFD simulations. Results indicate that the location of inlet and outlet greatly affects thermal comfort while having minimal effect on airflow velocity. Different configurations showed results meeting ASHRAE 55-210 criteria, with one configuration achieving an ADPI close to 90%.
INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES
(2021)
Article
Construction & Building Technology
Sanjay Kumar, Manoj Kumar Singh
Summary: This study investigated the seasonal thermal environment and thermal perception of university subjects in a naturally ventilated workshop building under the composite climate of India. The authors collected 1460 subjective responses in 2019. They used Standard Effective Temperature (SET*) to study the combined effects of air temperature, relative humidity and airspeed on perceived thermal sensation and occupant's preference under high metabolic rates.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
Mohammad Rahiminejad, Alexandre Louis Marie Paris, Hua Ge, Dolaana Khovalyg
Summary: This study investigates the impact of ventilated air-spaces behind external claddings on the performance of wall structures, and finds that changing the cladding type and increasing cavity thickness can affect the thermal energy flow and surface temperature of the wall.
ENERGY AND BUILDINGS
(2022)
Article
Energy & Fuels
Piotr Michalak
Summary: Due to high costs, cooling installations are rarely used in residential buildings in heating-dominated climates like Poland. This study attempts to assess indoor operative temperature during summer and propose ways to reduce overheating using the thermal network model of a naturally ventilated single-family residential building located in central Poland. The findings suggest that using external shading on windows is the most efficient solution for controlling indoor comfort in residential buildings without a cooling system.
Article
Construction & Building Technology
Xue Wang, Liu Yang, Siru Gao, Shengkai Zhao, Yongchao Zhai
Summary: This study investigates seasonal variations in thermal environment and comfort in classrooms in cold area in China, observing significant differences in temperature, humidity, and CO2 concentration and suggesting cooling in summer and proper ventilation in winter.
ENERGY AND BUILDINGS
(2021)
Article
Construction & Building Technology
Noor Muhammad Abd Rahmam, Lim Chin Haw, Ahmad Fazlizan, Azman Hussin, Muhammad Syukri Imran
Summary: This study determines the thermal comfort conditions in a naturally ventilated public hospital ward using three methods: simulation, measurements, and surveys. The results reveal that the thermal conditions in the studied ward were uncomfortable and require further improvement.
BUILDING AND ENVIRONMENT
(2022)
Article
Metallurgy & Metallurgical Engineering
Mou Di, Cao Bin, Zhu Ying-xin
Summary: Kunming has a unique climate and most residential buildings are naturally ventilated. Despite the indoor temperature being lower than the comfort range, most residents still feel neutral and comfortable. The neutral temperature in Kunming is determined to be 16.96 degrees C, with an acceptable thermal sensation vote (TSV) range of -0.72 to 1.52.
JOURNAL OF CENTRAL SOUTH UNIVERSITY
(2022)
Article
Green & Sustainable Science & Technology
Karthik A. Sabapathy, Sateesh Gedupudi
Summary: This study focuses on the heat insulating potential of straw, which is an agricultural residue, used as part of the envelope of unconditioned buildings. Through transient thermal analysis and qualitative discussion, the thermal performances of different building envelope structures with and without straw insulation are compared and evaluated for representative summer and winter conditions in five different climatic zones in India.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Construction & Building Technology
Hardi K. Abdullah, Halil Z. Alibaba
Summary: This study proposes a performance-based window design model for optimised natural ventilation potential by reducing indoor CO2 concentration and improving thermal comfort. The model includes stages such as knowledge acquisition, establishing relationships, determining performance criteria, conducting experiments, evaluating findings, and making decisions.
Article
Construction & Building Technology
Antonio J. Aguilar, Maria L. de la Hoz-Torres, Maria Dolores Martinez-Aires, Diego P. Ruiz
Summary: This study assessed the impact of natural ventilation efficiency and university students' thermal perception during the cold season. The results showed that while the CO2 concentration was within the recommended range in most classrooms, only a small percentage of classrooms had thermal conditions that met the national regulations for comfort. These thermal conditions affected students' satisfaction and academic performance.
Article
Construction & Building Technology
Maria Teresa Baquero Larriva, Ana Sofia Mendes, Nuria Forcada
Summary: The paper analyzes the influence of climatic conditions on the thermal comfort of occupants (elderly people, caregivers, and therapists) in naturally ventilated nursing homes. The study collects data from 18 nursing homes in three different climatic zones. The results show that the perception of thermal comfort varies in different climates, and outdoor temperature and humidity play a significant role. This research has important implications for the design and operation of nursing homes in different climates.
BUILDING AND ENVIRONMENT
(2022)
Article
Chemistry, Analytical
Chih-Ching Lai, Hsin-Kai Wang, Fu-Nien Wang, Yu-Ching Peng, Tzu-Ping Lin, Hsu-Hsia Peng, Shu-Huei Shen
Summary: The study introduces a method for automatically segmenting prostate MRI images using deep learning techniques to assist in prostate cancer diagnosis. By combining different image sequences, a high level of segmentation accuracy was achieved.
Article
Oncology
Jing Wei, Lijuan Yin, Jingjing Li, Jing Wang, Tianjie Pu, Peng Duan, Tzu-Ping Lin, Allen C. Gao, Boyang Jason Wu
Summary: The study reveals a reciprocal regulatory circuit between MAOA and AR in prostate cancer, with implications for cancer development and growth, particularly CRPC. Targeting MAOA may enhance the efficacy of AR-targeted therapies.
Article
Urology & Nephrology
Kuan-Jung Lin, Eric Y. H. Huang, I-Shen Huang, Yu-Hua Fan, Chih-Chieh Lin, Tzu-Ping Lin, Hsiao-Jen Chung, Shing-Hwa Lu, Junne-Yih Kuo, Howard Hung-Hao Wu, Yen-Hwa Chang, Alex T. L. Lin, William J. S. Huang
Summary: This study found that asymptomatic pyuria before URSL did not significantly increase the risk of postoperative febrile UTI. There were no significant differences in febrile UTI, emergency visits, and stone-free rate between patients with asymptomatic pyuria and those without.
Article
Environmental Sciences
Ruey-Lung Hwang, Wei-An Chen, Yu-Teng Weng
Summary: This study estimates the relationship between poor indoor environmental quality (IEQ) and increasing labor costs in green buildings in Taiwan, and finds that IEQ-certified green buildings perform better in terms of IEQ and building costs. However, some non-IEQ-certified green buildings require additional expenditure to address poor IEQ. The study recommends enhancing the evaluation of indoor environmental quality in Taiwan's green building certification system.
Article
Energy & Fuels
Ruey-Lung Hwang, Ai-Wen Huang, Wei-An Chen
Summary: This study focuses on the thermal management of school buildings, establishing specific requirements for the Overall Thermal Transfer Value (OTTV) and equivalent ventilation area in Taipei and Kaohsiung. It proposes a design criteria for balancing energy use and thermal comfort, aiming to provide effective strategies at the initial design stage.
Article
Medicine, General & Internal
Fang-Yu Yen, Wen-Kuei Chang, Shih-Pin Lin, Tzu-Ping Lin, Kuang-Yi Chang
Summary: This study aims to evaluate the association between epidural anesthesia and analgesia (EA) and long-term outcomes following surgery for renal cell carcinoma (RCC). The results demonstrate that patients who received perioperative EA had better recurrence-free survival and overall survival. Further prospective studies are needed to verify this association.
FRONTIERS IN MEDICINE
(2022)
Article
Construction & Building Technology
Ruey-Lung Hwang, Yu-Teng Weng, Kuo-Tsang Huang
Summary: This research proposes a method to predict the dynamic thermal comfort of pedestrians by integrating static thermal comfort index with dynamic thermal comfort footprint, taking into consideration the spatiotemporal variations of thermal comfort during the walking activity. On-site experiments were conducted in different seasons to establish and validate the models, showing satisfactory accuracy in predicting pedestrians' dynamic thermal comfort.
BUILDING AND ENVIRONMENT
(2022)
Article
Construction & Building Technology
Ruey-Lung Hwang, Wen-Jye Liao, Wei -An Chen
Summary: This study aims to suggest optimal strategies for balancing energy use and indoor environment quality in Taiwanese primary schools by analyzing the influences of temperature set-point and ventilation rate on environment quality. The results provide recommendations for policymakers to maximize academic performance in hot-humid climate zone.
BUILDING AND ENVIRONMENT
(2022)
Review
Environmental Sciences
Oded Potchter, Pninit Cohen, Tzu-Ping Lin, Andreas Matzarakis
Summary: Since the early 2000's, there has been a significant focus on human thermal assessment in urban outdoor environments. However, the absence of an agreed protocol for outdoor bio-meteorological research has resulted in complexity when comparing study results. This complexity arises from the variety of thermal indices, interpretations of bio-meteorological terms, data collection procedures, and methods for determining thermal comfort ranges. This study aims to review strategies and methods for human bio-meteorological research and suggests a framework for future research to ensure accurate assessment of thermal perception.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Construction & Building Technology
Ruey-Lung Hwang, Wei -An Chen
Summary: Solar radiation has a significant impact on cooling load and occupants' well-being. This study explores the relative importance of passive solar design parameters for building envelope and analyzes the correlation among facade parameters, energy use, thermal comfort, and geographic location. The results show that adjusting glazing type has the greatest potential for improvement in cooling load and temporal thermal comfort.
BUILDING AND ENVIRONMENT
(2022)
Article
Biophysics
Kuo-An Hung, Yi-Wei Hsu, Yu-Cheng Chen, Tzu-Ping Lin
Summary: High temperatures have become common in cities and agricultural areas in Taiwan, especially affecting the city of Tainan, which relies on agriculture as its primary industry. The study focuses on asparagus cultivation in greenhouses and explores the optimal growth environment using drip irrigation with temperature adjustment. The findings show a correlation between asparagus yield and temperature/soil moisture content, and implementing the drip irrigation system can save water and increase average yield.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Article
Biophysics
Shing-Ru Yang, Shih-Tang Lan, Yi-Ting Wu, Tsuyoshi Honjo, Tzu-Ping Lin
Summary: This study examined the use of expanded metal meshes (EMMs) in horizontal shading devices. Simulations and experiments were conducted with EMMs of varying opening ratios and directions. Data on air temperature, surface temperature, and black globe temperature were collected from different experimental and control groups. Simulation results using Grasshopper were used to analyze long-term climate conditions and provide customized suggestions for users in Tainan. The findings can serve as a benchmark for parametric design analysis of EMMs and be applied in the design phase of outdoor horizontal shading devices. It was found that EMMs with small openings provided effective shading effects throughout the day. North-facing EMMs are recommended in the Tainan area, as they blocked 70% of sunshine in our simulations. West-facing EMMs are suitable for morning shading, blocking 50-90% of sunshine. East-facing EMMs can block 50-90% of sunshine after noon, making them ideal for recreational areas in the afternoon and evening. South-facing EMMs are not advised in Taiwan due to their suboptimal shading performance in the morning and afternoon.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Chia-Hui Chang, Cheng-Ju Wu, Tzu-Ping Lin
Summary: ETL tools play a significant role in big data analysis and value-added applications on the Web. Traditional web scraping systems are not scalable and require manual creation of crawlers. This paper introduces a neural sequence model for automating pagination recognition and achieves promising results in experiments.
WEB ENGINEERING (ICWE 2022)
(2022)
Article
Construction & Building Technology
Ruey-Lung Hwang, Bi-Lian Chen, Wei-An Chen
Summary: This study discusses the feasibility of installing PCMs on the rooftops of school buildings in Taiwan to reduce energy consumption and improve thermal comfort. Simulation results show that PCMs have the potential to save energy and enhance indoor comfort in different seasons.
Article
Meteorology & Atmospheric Sciences
A. Santos Nouri, Y. Afacan, O. Caliskan, Tzu-Ping Lin, A. Matzarakis
Summary: The study examined environmental human thermophysiological risk factors using energy balance models and found that urban areas experienced higher heat stress leading to extreme heatwaves and very hot days lasting for more than a week during summer months. In contrast, peri-urban areas showed lower average physiological stress levels and experienced cold extremes during winter months.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.