Article
Thermodynamics
X. L. Zhong, K. C. Chan, S. C. Fu, L. Q. Wang, Christopher Y. H. Chao
Summary: Piezoelectric fan cooling is receiving increased attention for its compact size and high energy efficiency. This study investigates the impact of fan location and channel configuration on heat transfer performance. By adjusting the fan position, a higher streamwise velocity is achieved, leading to improved heat transfer. Inserting a fan into the channel results in a 55% enhancement of the Nusselt number compared to natural convection. Additionally, both expansion and contraction configurations enhance heat transfer, with the optimal configuration providing an additional 10% enhancement. Flow visualization and velocity measurements reveal that the contraction configuration boosts streamwise velocity and generates a jet flow pattern, while the expansion configuration promotes more vortices and spanwise mixing.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Thermodynamics
Turgay Coskun, Erdal Cetkin
Summary: This article introduces a hybrid cold plate for thermal management of electric vehicle batteries and demonstrates through experiments that hybrid cooling can reduce battery temperature and temperature difference, extending battery life. The study also indicates that air cooling is suitable for variable discharge rates, while liquid cooling needs to consider contact resistance. In addition, the proposed hybrid cold plate can also be used for cooling electronic devices.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Energy & Fuels
Yasuyuki Ota, Kenji Araki, Akira Nagaoka, Kensuke Nishioka
Summary: The curved car roofs impact the performance of vehicle-integrated photovoltaics (VIPVs) by a curve correction factor, with an average value of 0.92 requiring a 10% boost in performance to compensate for inherent loss. Understanding the typical range of the curve correction factor is crucial for estimating energy generated by VIPV.
PROGRESS IN PHOTOVOLTAICS
(2022)
Review
Energy & Fuels
Wenguang Li, Zhibin Yu
Summary: This article presents a critical review of heat exchangers for cooled supercritical carbon dioxide flows, highlighting SCO2 heat transfer features, analyzing SCO2 heat transfer characteristics in detail, and summarizing SCO2 heat transfer enhancement methods.
Article
Thermodynamics
Jianmin Fang, Xiang Yin, Anci Wang, Xifeng Sun, Yuxuan Liu, Feng Cao
Summary: The experimental study demonstrated that improving the effectiveness of internal heat exchangers can enhance the performance of the CO2 mobile air conditioning system, but the enhancement decreases with increasing heat exchanger efficiency. The compressor and gas cooler are the main components in the system that contribute to energy losses.
APPLIED THERMAL ENGINEERING
(2021)
Article
Automation & Control Systems
Feng Wang, Junyi Hong, Bing Xu, Wieslaw J. Fiebig
Summary: The article studied the control design of the cooling fan drive system with power split hydraulic transmission, designed a feedforward controller based on transmission characteristics, and compared system dynamic performance through simulation and experimental studies.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Thermodynamics
Antonio Garcia, Javier Monsalve-Serrano, Rafael Lago Sari, Santiago Martinez-Boggio
Summary: This paper introduces a novel simulation approach for Lithium-Ion battery simulations, combining fundamental and applicate aspects. The results demonstrate that aged cells are more prone to thermal runaway, but the difference can be reduced by increasing cooling flow. Overall, the proposed framework proves its capability in addressing relevant phenomena during battery operation and improving the design phase from cell to pack.
APPLIED THERMAL ENGINEERING
(2022)
Article
Geochemistry & Geophysics
Ling Xing, Hongyu Qu, Sheng Xu, Yao Tian
Summary: This article proposes a novel and effective method, named CLEGAN, for unpaired low-light image enhancement using self-similarity contrastive learning within a single GAN framework. The proposed method maximizes the mutual information between low-light and restored images.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Energy & Fuels
Yasuyuki Ota, Kenji Araki, Akira Nagaoka, Kensuke Nishioka
Summary: This study found that under actual driving conditions, the outputs of car-mounted PV panels were affected by partial shading on sunny days, leading to a decrease in performance ratio. However, on overcast days, the low module temperature and spectrum effect resulted in almost the same performance ratio values.
IEEE JOURNAL OF PHOTOVOLTAICS
(2021)
Article
Thermodynamics
Weijie Dong, Donghai Hu, Yuran Shen, Jianwei Li, Qingqing Yang
Summary: This study analyzes the noise characteristics of multiple cooling fans and verifies the feasibility of reducing the total sound pressure level through fan control strategy. A numerical calculation model is established and verified using experiments. The results show that controlling the cooling fan strategy can reduce the total sound pressure level near the driver's ear under different working conditions.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Green & Sustainable Science & Technology
Karthikeyan Velmurugan, Rajvikram Madurai Elavarasan, Pham Van De, Vaithinathan Karthikeyan, Tulja Bhavani Korukonda, Joshuva Arockia Dhanraj, Kanchanok Emsaeng, Md. Shahariar Chowdhury, Kuaanan Techato, Bothaina Samih Abou El Khier, El-Awady Attia
Summary: In recent years, there has been significant research on cooling PV module temperature using phase change materials (PCM) to improve the electrical output power and efficiency of the system. This review study categorizes PCM-based cooling techniques into three major techniques: direct incorporation of PCM behind the PV module, adding thermal additives to enhance heat transfer, and using thermal collectors to minimize PCM usage. These techniques have the advantage of utilizing waste heat from the PV module. The study also discusses the thermophysical properties of PCM, particularly focusing on the melting temperature and thermal conductivity as the main concerns in cooling the PV module.
Article
Thermodynamics
V Naveenprabhu, M. Suresh
Summary: In this study, a test facility has been built to assess the performance of evaporative heat exchangers. The experimental results show that the performance parameters of the heat exchangers vary significantly under different configurations and conditions.
NUMERICAL HEAT TRANSFER PART A-APPLICATIONS
(2023)
Review
Environmental Sciences
Shilpa Kumari, Aniruddha Pandit, Ankit Bhende, Sadhana Rayalu
Summary: Solar energy offers advantages in terms of easy access and predictability compared to other renewable energy sources. It is used for various applications such as power generation, desalination, and heating. This paper discusses the factors affecting the efficiency of PV panels and explores cooling approaches to improve the performance of small household PV systems. The influence of operating temperature on cell performance using different cooling strategies is also examined.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH
(2022)
Article
Instruments & Instrumentation
Hsin-Hung Lin, Zi-Hong Guo, Shu-Chun Chien
Summary: A new water-cooling radiator with improved performance for CPUs is proposed and validated through simulation and experimentation. The results show that the proposed radiator significantly enhances cooling effect and overall efficiency of CPUs and has the potential for manufacturing application.
SENSORS AND MATERIALS
(2022)
Review
Acoustics
Pieter Coenraad Swanepoel, Till M. Biedermann, Sybrand J. van der Spuy
Summary: Aerodynamic and aeroacoustic performance experiments were conducted on four- and eight-bladed axial flow cooling fans, comparing their noise emissions and performance at different tip gaps. The results showed that the four-bladed fan configuration had lower noise emissions than the eight-bladed configuration at all tip gaps, and reducing the tip gap and number of blades can reduce noise emissions. The four-bladed fan with a tip gap of 0 mm achieved the greatest reduction in noise emissions. An increase in fan performance was also observed when reducing the tip gap for both configurations.
INTERNATIONAL JOURNAL OF AEROACOUSTICS
(2023)
Article
Engineering, Multidisciplinary
Tala Moussa, Dominique Della Valle, Bertrand Garnier, Hassan Peerhossaini
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
(2016)
Article
Energy & Fuels
M. Ramadan, M. Khaled, H. El Hage, F. Harambat, H. Peerhossaini
Article
Engineering, Mechanical
M. Khaled, M. Gad El Rab, F. Hachem, H. Elhage, A. Elmarakbi, F. Harambat, H. Peerhossaini
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY
(2016)
Article
Thermodynamics
Tala Moussa, Bertrand Garnier, Ugo Pelay, Yann Favennec, Hassan Peerhossaini
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2016)
Article
Mechanics
Charbel Habchi, Thierry Lemenand, Dominique Della Valle, Hassan Peerhossaini
Article
Thermodynamics
Marouen Dghim, Ladan Momayez, Mohsen Ferchichi, Hassan Peerhossaini
HEAT TRANSFER ENGINEERING
(2018)
Article
Engineering, Multidisciplinary
Tala Moussa, Bertrand Garnier, Hassan Peerhossaini
MEASUREMENT SCIENCE AND TECHNOLOGY
(2017)
Article
Thermodynamics
Thierry Lemenand, Charbel Habchi, Dominique Della Valle, Hassan Peerhossaini
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2018)
Article
Thermodynamics
Zahra Habibi, Mohammad Karami, Mojtaba Jarrahi, Ebrahim Shirani, Hassan Peerhossaini
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2018)
Article
Engineering, Chemical
Charbel Habchi, Akram Ghanem, Thierry Lemenand, Dominique Della Valle, Hassan Peerhossaini
CHEMICAL ENGINEERING RESEARCH & DESIGN
(2019)
Article
Biochemical Research Methods
Chau Nguyen Minh, Hassan Peerhossaini, Mojtaba Jarrahi
Summary: By combining phototactic behavior with pulsatile flow features, motile algae cells can be effectively separated. The results show that pulsatile flow has a significant advantage over steady flow in separation when there is light.
Article
Physics, Fluids & Plasmas
T. Vourc'h, H. Peerhossaini, J. Leopoldes, A. Mejean, F. Chauvat, C. Cassier-Chauvat
Article
Engineering, Environmental
T. Lemenand, D. Della Valle, C. Habchi, H. Peerhossaini
CHEMICAL ENGINEERING JOURNAL
(2017)
Article
Engineering, Chemical
Thierry Lemenand, Dominique Della Valle, Pascal Dupont, Hassan Peerhossainid
CHEMICAL ENGINEERING SCIENCE
(2017)
Proceedings Paper
Engineering, Mechanical
Hadi Fadlallah, Mojtaba Jarrahi, Eric Herbert, Roselyne Ferrari, Annick Mejean, Hassan Peerhossaini
PROCEEDINGS OF THE ASME FLUIDS ENGINEERING DIVISION SUMMER MEETING, 2016, VOL 1A
(2016)
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.
