Article
Construction & Building Technology
Yuying Liang, Nan Zhang, Huijun Wu, Xinhua Xu, Ke Du, Jianming Yang, Qin Sun, Kaijun Dong, Gongsheng Huang
Summary: The study shows that the thermal environment and thermal comfort created by the DRCU under low radiant cooling temperatures meet the comfort criteria of the ASHRAE Standard.
BUILDING AND ENVIRONMENT
(2021)
Article
Thermodynamics
Yuying Liang, Nan Zhang, Huijun Wu, Xinhua Xu, Jianming Yang, Gongsheng Huang
Summary: This study investigates the cooling load characteristics of a thermal chamber conditioned by a Decoupled Radiant Cooling Unit (DRCU) using low radiant cooling temperature. The results show that the cooling load under DRCU is slightly smaller than that under Conventional Radiant Cooling Unit (CRCU) in the same operative environment.
BUILDING SIMULATION
(2022)
Article
Biotechnology & Applied Microbiology
Cristian Inostroza, Alessandro Solimeno, Joan Garcia, Jose M. Fernandez-Sevilla, F. Gabriel Acien
Summary: The design and hydrodynamics of a 500 m(2) raceway bioreactor were optimized using Computational Fluid Dynamics (CFD). The study confirmed that using deflectors in the baffle partition bend type provided the best performance, with a monophasic analysis validating the optimal configuration dynamics. Results from a multiphasic analysis with ANSYS Fluent showed that at 18 rpm, average liquid velocity stabilized at 0.38 m.s(-1), indicating a robust starting point for improving large-scale raceway reactors.
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
(2021)
Article
Construction & Building Technology
Omar A. Ismail, Mahmoud A. Kassem, Muhammed A. Hassan
Summary: Sleeping pods with radiant cooling panels can maintain a comfortable thermal environment with high supply air temperature and relatively high panel temperature, reducing the risk of local thermal discomfort and condensation.
ENERGY AND BUILDINGS
(2021)
Article
Engineering, Multidisciplinary
Persis Rofail, Rola Afify, Hassan El-Gamal
Summary: This research experimentally created a transparent facemask prototype to maintain warmth in the sinus area to prevent sinusitis disease. Through numerical simulations and experimental validation, it was confirmed that the mask design is effective in improving temperature and comfort.
AIN SHAMS ENGINEERING JOURNAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Harshit Kumar Jayant, Bharat Jhamnani
Summary: This article numerically investigates submerged hydraulic jumps over right angle and isosceles triangular macrorough beds. The results show that isosceles triangular macrorough beds lead to the reduction of initial Froude number in both tailwater and submerged depth ratios, as well as an increase in the energy dissipation of submerged hydraulic jumps.
JOURNAL OF HYDROINFORMATICS
(2023)
Article
Thermodynamics
Semih Ozsagiroglu, Muhammet Camci, Tolga Taner, Ozgen Acikgoz, Ahmet Selim Dalkilic, Somchai Wongwises
Summary: This study investigated the heat exchange in a closed room with different air temperatures to achieve comfort conditions, focusing on the effects of heat transfer from various surfaces. Results showed significant cooling effects from the floor, ceiling, and air conditioner on the room, highlighting the importance of proper ventilation and insulation. The study's novelty lies in encouraging the development of ideal CFD analysis for thermal comfort conditions in engineering tasks.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Construction & Building Technology
Ji-Su Choi, Gun-Joo Jung, Kyu-Nam Rhee
Summary: Ceiling radiant cooling panel (CRCP) systems have been widely used for space cooling due to their high thermal comfort and energy efficiency. However, the cooling capacity of CRCP systems can be limited due to the need to maintain the panel surface temperature above the dew-point temperature. In this study, a fan-assisted ceiling radiant cooling panel (FCRCP) system was developed using small and low-cost fans to enhance the cooling capacity without major modifications to the existing architectural or mechanical elements. Experimental and numerical analysis results showed that the FCRCP system can significantly improve the cooling performance compared to conventional CRCP systems.
ENERGY AND BUILDINGS
(2023)
Article
Energy & Fuels
Bobo Zhang, Qin Sun, Lin Su, Kaijun Dong, Weimin Luo, Haifeng Guan, Zhenhua Shao, Wei Wu
Summary: This paper used the numerical simulation method to study the effect of different water supply parameters on the heat transfer performance, temperature uniformity analysis, and anti-condensation temperature control strategy of the concrete radiant roof. The research results could provide technical references for the practical application of radiation roof anti-condensation temperature control technology.
Article
Construction & Building Technology
Muhammed A. Hassan, Amr Kaood
Summary: This study proposes a passive enhancement approach for ceiling radiant cooling panels (RCPs) by internally finning the copper tubes. Different fin profiles, numbers, aspect ratios, and occupied area fractions have been studied to assess the performance of finned RCPs. The results indicate the possibility of boosting cooling capacity and temperature uniformity, but at the expense of temperature non-uniformity and pressure losses.
BUILDING AND ENVIRONMENT
(2022)
Article
Engineering, Aerospace
Shu Sun, Zhenlong Wu, Hexia Huang, Galih Bangga, Huijun Tan
Summary: This paper investigates the effects of gusts on the internal flow of aircraft engines and highlights the importance of considering gust effects when designing and evaluating engine performance. The study finds that gusts significantly change the flow structure and adversely affect the total pressure distortion of the inlet.
Article
Architecture
Jiying Liu, Meng Su, Moon Keun Kim, Shoujie Song
Summary: In order to increase the computational efficiency and ensure the accuracy of calculated cooling capacity of radiant cooling floor, this study proposes a simplified three-dimensional modeling method in combination with user-defined function compilation. The study considers different factors such as radiant floor thickness, thermal conductivities of layers, pipe diameters, pipe spacing, and floor surface sizes, with cooling capacity and minimum floor temperature as evaluation indices. Additionally, a backpropagation neural network model and a prediction program are developed for quick prediction of minimum floor temperature and cooling capacity. The results show that the backpropagation neural network model can accurately predict the values of cooling capacity and minimum floor temperature, with coefficients of determination of 0.9117 and 0.9435, respectively. The study also reveals that increasing the thickness of the cover layer and filling layer leads to a decrease in minimum floor temperature by 10.97% and 11.01% respectively, while increasing the heat transfer coefficient of the cover layer and filling layer results in a decrease in cooling capacity by 30.56% and 23.46% respectively. This study presents an artificial intelligence method for rapid prediction of cooling capacity and minimum floor temperature, and provides theoretical support for engineering application.
JOURNAL OF ASIAN ARCHITECTURE AND BUILDING ENGINEERING
(2023)
Article
Environmental Sciences
Salman Sakib, Grant Besse, Peng Yin, Daniel Gang, Donald Hayes
Summary: In this study, the design parameters of the WSSC system were optimized, and simulation results showed that increasing the pipe diameter and face slope decreases the efficiency of wave reduction. However, increasing the pipe diameter enhances the efficiency of sediment transport, while the variation in face slope has little effect on sediment transport efficiency.
INTERNATIONAL JOURNAL OF SEDIMENT RESEARCH
(2022)
Article
Nuclear Science & Technology
Normando Perazzo Barbosa Souto, Claudio Luiz de Oliveira, Sergio de Oliveira Vellozo, Ronaldo Glicerio Cabral
Summary: This study presents the construction of a Computational Fluid Dynamics (CFD) model for a subchannel in a pressurized water reactor (PWR). The results show that the developed CFD model is suitable for thermal-hydraulics analysis of PWR reactors, especially for evaluating conceptual Small Modular Reactor (SMR) configurations.
NUCLEAR ENGINEERING AND DESIGN
(2023)
Review
Green & Sustainable Science & Technology
Z. Rasep, M. N. A. W. Muhammad Yazid, S. Samion
Summary: Vegetable oils are seen as potential bio lubricants that could replace traditional mineral oils in the future, offering unique environmental benefits. Surface modification of journal bearings has gained attention for its ability to enhance performance. The combination of textured journal bearings and vegetable oil shows promise for various industrial applications.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Chemistry, Analytical
Yaseen Ahmed Mohammed Alsumaidaee, Chong Tak Yaw, Siaw Paw Koh, Sieh Kiong Tiong, Chai Phing Chen, Talal Yusaf, Ahmed N. Abdalla, Kharudin Ali, Avinash Ashwin Raj
Summary: This study systematically analyzes three deep learning techniques for detecting corona faults in metal-clad switchgear. The hybrid 1D-CNN-LSTM model is found to have high accuracy in both the time and frequency domains, making it the most suitable model for detecting corona faults.
Article
Chemistry, Multidisciplinary
Chong Tak Yaw, S. P. Koh, M. Sandhya, K. Kadirgama, Sieh Kiong Tiong, D. Ramasamy, K. Sudhakar, M. Samykano, F. Benedict, Chung Hong Tan
Summary: This study investigates a unique hybrid nanofluid composed of graphene nanoplatelets and cellulose nanocrystals. The findings suggest that using this hybrid nanofluid can improve the heat transfer efficiency of vehicle radiators and reduce their size and weight.
Article
Chemistry, Multidisciplinary
Chong Tak Yaw, Siaw Paw Koh, Madderla Sandhya, Devarajan Ramasamy, Kumaran Kadirgama, Foo Benedict, Kharuddin Ali, Sieh Kiong Tiong, Ahmed N. Abdalla, Kok Hen Chong
Summary: Response surface methodology (RSM) was used to optimize the thermal characteristics of single graphene nanoplatelets and hybrid nanofluids. The study found that the developed empirical mathematical analysis is relevant and accurate, with more than 85% of thermal conductivity and viscosity fluctuations of the nanofluids being predicted by the model. The optimal thermal conductivity and viscosity values were found to be 0.4962 W/m-K and 2.6191 cP, respectively.
Article
Chemistry, Multidisciplinary
Yaseen Ahmed Mohammed Alsumaidaee, Chong Tak Yaw, Siaw Paw Koh, Sieh Kiong Tiong, Chai Phing Chen, Chung Hong Tan, Kharudin Ali, Yogendra A. L. Balasubramaniam
Summary: This study explores the effectiveness of deep learning techniques, including 1D-CNN, LSTM, and 1D-CNN-LSTM models, in detecting arcing problems in switchgear. Experimental results show that the 1D-CNN-LSTM model has the strongest capability to differentiate between arcing and non-arcing situations in both time and frequency domains, effectively recognizing arcing faults in switchgear. Therefore, this model provides an efficient and effective method for monitoring and detecting faults in switchgear and control gear systems.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Environmental
Daniel T. Oyekunle, Maulidi Barasa, Eman A. Gendy, Sieh Kiong Tiong
Summary: In recent years, biodiesel as a substitute for fossil fuels has gained increasing attention, although its production cost is higher. To reduce the cost, biodiesel has been produced from different feedstock based on local availability, but the feedstock quality limits the quality and efficiency of the transesterification process. The quality of biodiesel depends on fatty acid compositions and physicochemical properties of the oil feedstock, and the use of solid-based catalysts has been preferred due to their reusability and ease of separation. Different catalyst properties and process parameters also influence the transesterification reaction.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Review
Polymer Science
Abd Ghafar Nurhanis Sofiah, Jagadeesh Pasupuleti, Mahendran Samykano, Kumaran Kadirgama, Siaw Paw Koh, Sieh Kieh Tiong, Adarsh Kumar Pandey, Chong Tak Yaw, Sendhil Kumar Natarajan
Summary: This article provides a comprehensive overview of nanocellulose preparation methods, structure-property correlations, and applications. Nanocellulose is a renewable and sustainable material with tunable surface properties and biocompatibility. The article discusses the classification and production methods of nanocellulose, highlights its unique properties derived from experiments and studies, and elaborates on its potential applications in various areas.
Review
Energy & Fuels
Ahmed Hadi Ali AL-Jumaili, Ravie Chandren Muniyandi, Mohammad Kamrul Hasan, Mandeep Jit Singh, Johnny Koh Siaw Paw, Mohammad Amir
Summary: This article reviews recent research on power management systems and battery charging control, emphasizing the importance of cloud computing-based power optimization systems and the role of intelligent cloud computing in improving battery life and managing battery state.
Article
Engineering, Multidisciplinary
Zatil Amali Che Ramli, Jagadeesh Pasupuleti, Tengku Shafazila Tengku Saharuddin, Yusra Nadzirah Yusoff, Wan Nor Roslam Wan Isahak, Luqmanulhakim Baharudin, Chong Tak Yaw, S. P. Koh, Sieh Tiong Kiong
Summary: Direct formic acid fuel cells (DFAFCs) are important for clean energy, but the slow formic acid oxidation reaction and high cost of platinum catalysts limit their performance. This review discusses the electrocatalytic activities of platinum and palladium-based catalysts, including their incorporation with alloy, metal, transition metal, and metal oxide materials. It also explores the use of nanostructured carbon catalyst supports and summarizes recent advances in synthesis routes, electrochemical conditions, and fuel cell performance with platinum and palladium catalysts. The challenges and strategies for commercialization of electrocatalysts in this field are also discussed.
ALEXANDRIA ENGINEERING JOURNAL
(2023)
Article
Computer Science, Information Systems
Zahraa Khduair Taha, Chong Tak Yaw, Siaw Paw Koh, Sieh Kiong Tiong, Kumaran Kadirgama, Foo Benedict, Jian Ding Tan, Yogendra A. L. Balasubramaniam
Summary: Recent advances in deep learning have shown the potential for data-driven insights to improve healthcare for patients. To build accurate systems, more diverse data is needed. However, the pooling of data for training deep models faces privacy and regulatory challenges. To address this, federated learning has been proposed as a way to share model learning without sharing data, resulting in a secure system that protects privacy.
Article
Computer Science, Information Systems
Yaseen Ahmed Mohammed Alsumaidaee, Johnny Koh Siaw Paw, Chong Tak Yaw, Sieh Kiong Tiong, Chai Phing Chen, Talal Yusaf, Foo Benedict, Kumaran Kadirgama, Tan Chung Hong, Ahmed N. Abdalla
Summary: In this paper, a hybrid model (1D-CNN-LSTM) is proposed for fault detection in medium voltage switchgear. The model achieved 100% accuracy in both the time and frequency domains for classifying faults, and 98.4% accuracy in detecting corona faults in the time domain. This approach has significant potential to improve the safety of medium voltage switchgear.
