Article
Construction & Building Technology
Hamza Zahid, Oussama Elmansoury, Reda Yaagoubi
Summary: This paper introduces an optimization approach called 'DynamicPMV' that combines BIM and IoT sensors to optimize indoor thermal comfort in buildings. By integrating real-time environmental data monitoring and BIM modeling, it allows for 3D visualization of thermal comfort and calculation of the optimal temperature.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Construction & Building Technology
Sheng Zhang, Zhang Lin
Summary: This study improves thermal sensation prediction accuracy by modifying the ePMV to reinforce thermal adaptations around thermal neutrality, reducing deviation around thermal neutrality for different types of buildings under various climate conditions globally. The modified ePMV, with explicit formulation, is found to enhance thermal comfort predictions effectively, particularly around thermal neutrality with significant improvements in thermal sensation prediction.
Article
Thermodynamics
Jinxin Huang, Shangyan Wu, Ting Yuan, Dachuan Shi, Yafeng Gao
Summary: The study found a linear relationship between the equivalent metabolic rate (EMT) and indoor air temperature (Ta), with a negative correlation in winter and summer and almost no correlation in autumn when the temperature is below 22 degrees Celsius. This provides fundamental knowledge for revising the standard table of metabolic rate.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Construction & Building Technology
Sheng Zhang, Zhang Lin
Summary: This study modifies the PMV by using skin wettedness from the standard effective temperature model, improving thermal sensation prediction accuracy and robustness.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Zoubayre El Akili, Youcef Bouzidi, Abdelatif Merabtine, Guillaume Polidori, Amal Chkeir
Summary: This study experimentally investigated the adaptive thermal comfort in healthcare buildings belonging to the Association of Parents of Disabled Children in Troyes, France, during the winter season. The main results showed a strong correlation between operative temperature, predicted mean vote, and adaptive predicted mean vote, with the adaptive temperature estimated at around 21.65°C, emphasizing the need for proposing an adaptive thermal comfort strategy.
Article
Engineering, Electrical & Electronic
Izhar, Xiaoyi Wang, Wei Xu, Hadi Tavakkoli, Zhikun Yuen, Xiaofang Shan, Yi-Kuen Lee
Summary: This article presents a HTCS system based on MEMS sensors with improved accuracy compared to traditional systems, utilizing novel technology and algorithms. Experimental results show promising potential for integration into smart HVAC systems in the era of the Internet of Things.
IEEE SENSORS JOURNAL
(2021)
Article
Energy & Fuels
Alexandre Soares dos Reis, Petra Vaquero, Marta Ferreira Dias, Alice Tavares
Summary: Portugal's low heating energy consumption is attributed to a certain tolerance to discomfort. In addition to energy, it is important to consider other renovation benefits related to health and comfort. Simulation and analysis show that reducing insulation thickness in winter does not significantly affect occupants' discomfort, and IDP can be an alternative method to assess thermal discomfort in dwellings.
Article
Construction & Building Technology
Celestino Rodrigues Ruivo, Manuel Gameiro da Silva, Evandro Eduardo Broday
Summary: This study predicted the indoor air state associated with neutral thermal comfort conditions for individuals at different atmospheric pressures, and investigated the dependencies of PMV index on activity level, clothing insulation, relative humidity, and air velocity. Results suggest that the impact of environmental pressure on thermal comfort index should be considered when sizing an air-conditioning system.
BUILDING AND ENVIRONMENT
(2021)
Article
Construction & Building Technology
Choo Yoon Yi, Charmaine Childs, Chengzhi Peng, Darren Robinson
Summary: Older adults, especially those with dementia, present challenges in accurately measuring thermal comfort. The Predicted Mean Vote and Adaptive Comfort methods have potential for application in older populations, but further research and improvements are needed. Long wave infrared thermography shows promise in measuring thermal sensations in older adults, but feasibility studies are required before practical deployment.
BUILDING AND ENVIRONMENT
(2022)
Article
Automation & Control Systems
Hongyi Li, Jun Xu, Qianchuan Zhao, Sixin Wang
Summary: Energy shortage is a challenge for many countries, and building energy consumption accounts for a considerable proportion of global energy consumption. This paper focuses on optimizing the energy consumption of HVAC systems in buildings through economic model predictive control (EMPC). The proposed method saves electricity cost and increases indoor comfort compared to conventional control strategies, achieving a 19.78% reduction in electricity cost.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Construction & Building Technology
Weilan Wu, Zhaosong Fang, Xiangfei Ji, Zhimin Zheng
Summary: This study conducted on-site measurements and questionnaire surveys to investigate the air-conditioning environment in obstetric clinics during summer and pregnant women's perception of hot and humid environments in six hospitals in Guangzhou, China. Three different metabolic rate values were obtained using different methods, and models were established to estimate thermal neutral values for pregnant women. A simplified model was derived to describe the relationship between PMV and relative humidity, mean radiant temperature, wind speed, and air temperature for pregnant women.
INDOOR AND BUILT ENVIRONMENT
(2023)
Article
Construction & Building Technology
Xiaosai Duan, Suihuai Yu, Jianjie Chu, Dengkai Chen, Yanhao Chen
Summary: The study developed a coupled heat-transfer model and performed large eddy simulations to verify the influence of inertia and buoyancy on inhomogeneous thermal environments. An artificial neural network model was designed to predict the nonlinear relationships between thermal parameters and predicted mean vote values. The optimized ANN-GA neural network model showed high prediction accuracy for thermal comfort evaluation.
Article
Construction & Building Technology
Junke Wang, Yilin Jiang, Choon Yik Tang, Li Song
Summary: This paper analyzes the optimal precooling performance in residential buildings using MPC with two different comfort indices, temperature and PMV. The resulting MPC strategies are found to be adaptive and their performances depend primarily on weather, home thermal condition, and prediction horizon. The PMV-based strategy demonstrates cost savings of 8-45%.
BUILDING AND ENVIRONMENT
(2023)
Article
Engineering, Multidisciplinary
Muna Salameh, Emad Mushtaha, Ayat El Khazindar
Summary: Several studies have shown that traditional architecture is known for its sustainable capability to manage climate effects, while contemporary architecture focuses more on style rather than sustainability. Using ENVI-met software, this study aims to improve thermal performance and comfort in modern urban districts with reference to traditional districts in the UAE. Comparative and qualitative investigations were conducted to explore the thermal performance of the old and new districts on specific days. The results of the simulation indicated a reduction in the maximum outdoor temperature of approximately 1 degree Celsius in the traditional area compared to the contemporary districts. The study also integrated traditional passive design concepts, such as grass and green shading devices, into the modern district to lower its outdoor temperature. This study allows architects and urban designers to benefit from the concepts of vernacular urban design and incorporate them into the modern urban fabric.
AIN SHAMS ENGINEERING JOURNAL
(2023)
Article
Construction & Building Technology
Francesca Romana d'Ambrosio Alfano, Marco Dell'isola, Giorgio Ficco, Boris Igor Palella, Giuseppe Riccio
Summary: Mean radiant temperature is an essential physical quantity for evaluating thermal environments, with black globe thermometer being the most common measurement method. Studies have focused on factors like globe diameter, materials, and heat transfer modeling, but inconsistent results are due to difficulties in calibration. This study emphasizes on the accuracy of various types and sizes of globes through a metrological analysis in a controlled environment.
BUILDING AND ENVIRONMENT
(2021)
Review
Construction & Building Technology
Manoj Kumar Singh, Ryozo Ooka, Horn B. Rijal, Sanjay Kumar, Anuj Kumar, Sadhan Mahapatra
ENERGY AND BUILDINGS
(2019)
Article
Construction & Building Technology
Sanjay Kumar, Manoj Kumar Singh
BUILDING AND ENVIRONMENT
(2019)
Article
Construction & Building Technology
Sanjay Kumar, Manoj Kumar Singh, Rajeev Kukreja, Shailendra Kumar Chaurasiya, Varun Kumar Gupta
JOURNAL OF BUILDING ENGINEERING
(2019)
Article
Green & Sustainable Science & Technology
Waqas Ahmed Mahar, Griet Verbeeck, Manoj Kumar Singh, Shady Attia
Article
Construction & Building Technology
Sanjay Kumar, Manoj Kumar Singh, Anuj Mathur, Mitja Kosir
ENERGY AND BUILDINGS
(2020)
Article
Chemistry, Physical
S. M. Iftiquar, S. Najes Riaz, Sadhan Mahapatra
Summary: The difference in growth of thin film silicon layers when deposited on a textured and a non-textured surface was analyzed in this study. It was found that the film deposited on a textured surface had higher defect density compared to that on a flat surface, which could be attributed to the lower effective flux density of SiH(3) precursors on the textured surface. By optimizing the thicknesses of active layers and using a thinner doped window layer, improved light coupling and higher power conversion efficiency were achieved.
Article
Construction & Building Technology
Md Sarwar Jahan Talukdar, Tahmid Hassan Talukdar, Manoj Kumar Singh, Md Abdul Baten, Md Shahadat Hossen
JOURNAL OF BUILDING ENGINEERING
(2020)
Article
Thermodynamics
Samar Das, Pranay Kumar Sarkar, Sadhan Mahapatra
Summary: The study investigated single particle combustion behaviors of coal-biomass fuel mixtures, showing that rice husk had the longest burning time due to its higher ash content and particle density. Sawdust had a higher ignition mass flux compared to rice husk and wood particles, attributed to its higher volatile content. The primary controlling parameters for fuel conversion in co-combustion systems were found to be particle size, surface area/volume, and particle density.
Article
Construction & Building Technology
Sanjay Kumar, Anuj Mathur, Manoj Kumar Singh, K. B. Rana
Summary: Providing a comfortable thermal environment is crucial for workers' health and productivity in sustainable industrial development. A field study in an Indian mini-industrial unit found a seasonal comfort temperature variation of over 9.5 degrees C, with workers showing a high level of thermal adaptation through behavioral adjustments and increased airspeed. Additionally, a logistic regression analysis was conducted to predict fan usage behavior during hot summer seasons, alongside a questionnaire-based study on psychological and behavioral changes due to the COVID-19 pandemic.
BUILDING AND ENVIRONMENT
(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
Green & Sustainable Science & Technology
Sanjay Kumar, Manoj Kumar Singh, Nedhal Al-Tamimi, Badr S. Alotaibi, Mohammed Awad Abuhussain
Summary: A study on seasonal adaptive thermal comfort was conducted on university students in India's composite climate zone. The results showed that students had different preferences for temperature in different seasons, and the use of environmental controls and thermal adaptation enhanced overall thermal satisfaction.
Article
Energy & Fuels
Mohammed Awad Abuhussain, Nedhal Al-Tamimi, Badr S. Alotaibi, Manoj Kumar Singh, Sanjay Kumar, Rana Elnaklah
Summary: The aim of this research is to develop an architectural style that meets the requirements of residential buildings in the hot and dry climate of Najran. The courtyard concept and passive design strategies are used to satisfy the desert climate and sociocultural requirements. The results show that focusing on the courtyard and implementing passive design strategies significantly reduces energy consumption.
Article
Thermodynamics
Ujjiban Kakati, Anil Kumar Sakhiya, Paramjeet Baghel, Akshit Trada, Sadhan Mahapatra, Darshit Upadhyay, Priyanka Kaushal
Summary: This study presents a detailed analysis of utilizing bamboo as a feedstock for energy production through gasification. The results show that hydrogen-rich syngas can be generated with a specific steam to biomass ratio. However, a higher steam to biomass ratio negatively affects the performance of the gasifier.
Review
Green & Sustainable Science & Technology
Andi Taufan, Sheikh Ahmad Zaki, Ng Wai Tuck, Manoj Kumar Singh, Hom Bahadur Rijal
Summary: This study reviewed various retrofitting strategies implemented to improve mosque performance and found that optimizing design and operations can reduce energy consumption by half. The most substantial annual energy savings were observed by implementing a zoning strategy and an advanced air-conditioning design with intermittent operating system management to meet thermal comfort standards.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2023)
Article
Construction & Building Technology
Manoj Kumar Singh, Ryozo Ooka, Hom B. Rijal, Sanjay Kumar, Richard de Dear
Summary: Buildings not only offer shelter, but also security, safety, and comfort, while also representing economic and socio-cultural status. High energy consumption of buildings has become a worldwide concern, but adaptive comfort principles provide opportunities for reducing energy consumption without compromising the comfort and quality of indoor environments. However, previous thermal comfort studies in the Northeastern part of India rarely address the thermal adaptation opportunities of office occupants.
JOURNAL OF BUILDING ENGINEERING
(2023)
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.
