Article
Energy & Fuels
J. J. Zhang, Z. G. Qu, J. F. Zhang
Summary: This paper proposes a multiscale multiphysics method for predicting the electrical outputs of a concentrating plasmonic photovoltaic system. By combining a global model with a local one-unit model, nonuniform irradiation can be properly addressed. The feasibility and factors affecting the electrical outputs are analyzed through calibration and validation.
Article
Thermodynamics
E. Cano-Pleite, M. Fernandez-Torrijos, D. Santana, A. Acosta-Iborra
Summary: Induction heating is commonly used in laboratory facilities to replicate heating conditions of concentrated solar power plants. A multiphysics numerical model was developed to study the induction heating characteristics for molten salt loops, revealing the importance of considering the volumetric nature of induction heating for accurate temperature profiles. Different equivalent surface boundary conditions and experimental parameters such as pipe geometry and distance to the induction heating system were evaluated for their effects on temperature distribution.
APPLIED THERMAL ENGINEERING
(2022)
Article
Chemistry, Physical
Junhua Fan, Jixin Shi, Ruiyu Zhang, Yuqing Wang, Yixiang Shi
Summary: In this study, a 20-cell in-series SOFC model is developed to address the issues of nonuniform temperature and voltage distributions in the SIS-SOFC. The temperature and composition are found to have a striped distribution due to the noncontinuous electro-chemical reaction area. Two effective solutions are proposed and evaluated to reduce the temperature and voltage differences.
JOURNAL OF POWER SOURCES
(2023)
Article
Materials Science, Ceramics
Yang Liu, Muyu Liu, Guitao Luo, Hua Li, Hongbo Tan, Qimin Liu
Summary: A multiphysics-multiscale-multidrive model is developed for C3S hydration. The governing equations are formulated with thermo-chemo-electrical coupled fields, and the multiscale computations are achieved from micro-scale to macro-scale. The multidrives, including C3S dissolution and various gradients, are considered for physiochemical reactions. The model can well characterize the time evolution of hydration heat flow, chemical shrinkage, and ionic concentrations, and the effects of water-to-cement ratios and specific surface areas on C3S hydration kinetics are investigated.
CERAMICS INTERNATIONAL
(2023)
Article
Materials Science, Composites
Leilei Xia, Zhijian Hu, Lizhi Sun
Summary: The mechanical properties of magnetorheological elastomers (MREs) play a crucial role in their engineering applications. This study proposes a computational micromechanics-based multiphysics coupling model to reveal the overall magneto-hyperelastic properties of MREs. The effects of demagnetizing field and microstructures on the overall magnetic stresses are emphasized.
COMPOSITES SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Biomedical
Haoyu Chen, Ciara Felix, Davide Folloni, Lennart Verhagen, Jerome Sallet, Antoine Jerusalem
Summary: Low-intensity transcranial ultrasound (TUS) has been demonstrated to have the potential for non-invasive neuromodulation, but its underlying mechanisms and optimal sonication parameters are still unclear. This study proposes a multiscale modeling framework to examine the energy states of neuromodulation under TUS, and demonstrates the potential of this framework in identifying optimized acoustic parameters for TUS neuromodulation.
ACTA BIOMATERIALIA
(2022)
Article
Thermodynamics
Seokkan Ki, Jooyoung Lee, Seungwoo Kim, Jeongmo Seong, Jaehwan Shim, Seungtae Oh, Sumin Cho, Soosik Bang, Donghyun Seo, Joongnyon Kim, Youngsuk Nam
Summary: Development of an effective battery thermal management system is crucial for increasing battery lifetime and reliable operation. Liquid cooling is a promising strategy due to its high heat transfer coefficient. However, conventional liquid cooling modules require high pumping power and induce high-temperature deviation. Researchers propose an energy-efficient liquid cooling module incorporating flow distributors connected to a porous metal layer.
ENERGY CONVERSION AND MANAGEMENT
(2022)
Article
Engineering, Manufacturing
Jie Zhi, Bin Yang, Yan Li, Tong-Earn Tay, Vincent Beng Chye Tan
Summary: In this study, a versatile two-scale approach is proposed for thermo-viscoelastic analysis of composite laminates curing. The method accurately accounts for the different behaviors of fiber and resin during the curing process and combines microscopic mechanisms with macro deformations. Through a single finite element analysis using Direct FE2 implementation, the approach predicts process-induced distortions of flat and curved composite parts, which are verified by direct numerical simulations.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2023)
Article
Food Science & Technology
R. G. M. van der Sman
Summary: This paper presents a multiscale simulation framework called MULTI3 (MULTICUBED) developed for food structuring processes. The framework considers the multiphase, multiphysics, and multiscale nature of food structuring, with models at the molecular microscale, mesoscale, and macroscale. It proposes appropriate simulation methods for each scale and discusses the required coupling between scales. The use of Scale Separation Map as a tool to determine coupling types and a decision tree for choosing coupling types are also introduced.
FOOD STRUCTURE-NETHERLANDS
(2022)
Article
Engineering, Chemical
Huacheng Zhu, Junhao Su, Fengming Yang, Yuping Wu, Jinghua Ye, Kama Huang, Yang Yang
Summary: Cylindrical containers are commonly used in microwave food processing, but their shape leads to nonuniform temperature distribution within the sample. Using a lossy container can compensate for this issue by improving heat conduction. Multiphysics modeling can be used to analyze the effect of lossy containers, but the noncompliance between fine and coarse mesh elements at the thin-walled boundary of the container can lead to computational costs and calculation errors. This paper proposes a fast simulation method based on transformation optics to analyze the effect of lossy containers on microwave food processing. The method offers increased calculation efficiency and comparable or better accuracy compared to traditional methods, and shows that lossy containers can improve temperature uniformity but slightly reduce heating efficiency.
JOURNAL OF FOOD ENGINEERING
(2023)
Article
Energy & Fuels
Eduardo Venegas-Reyes, Naghelli Ortega-Avila, Manuel I. Pena-Cruz, Omar J. Garcia-Ortiz, Norma A. Rodriguez-Munoz
Summary: The study proposed a parametric methodology to optimize the receiver displacement in a hybrid solar collector, aiming to achieve uniform radiative flux distribution over photovoltaic cells. By applying the methodology, an increase in radiative flux and reduction in non-uniformity were achieved, improving the operational efficiency and lifespan of the photovoltaic cells.
Article
Chemistry, Physical
Yali Qian, Jing Wu, Jinghuai Fang, Lu Xu
Summary: The study successfully obtained large area uniform Ag cascade nanoparticle arrays with multi-scale coupling effect and cascade enhancement feature using confined evaporation deposition technique. The prepared Ag-CNPAs nanostructures exhibited excellent optical performance with homogeneity and near-field enhancement effect in SERS applications. The research results demonstrate promising applications of SERS substrates, and the developed localized deposition technology is simple and facilitates large-scale uniform preparation of micro-nano structures.
APPLIED SURFACE SCIENCE
(2021)
Article
Engineering, Chemical
Qianyu Yi, Junqing Lan, Jinghua Ye, Huacheng Zhu, Yang Yang, Yuanyuan Wu, Kama Huang
Summary: A stepping algorithm based on implicit function and level set method is proposed in this study to simulate the microwave heating process of multi-component with unequal moving speed, which has been verified for accuracy through discrete method and experiments. The model is effective in improving heating uniformity and efficiency by analyzing the heating process with different components at different positions and speeds, as well as comparing the effects of different materials of mode stirrers and shapes of heated sample on the heating process.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Tae Wan Park, Young Lim Kang, Eun Bin Kang, Seungmin Kim, Yu Na Kim, Woon Ik Park
Summary: This study introduces a novel method that combines nanotransfer printing (nTP) and laser micromachining to fabricate multiscale pattern structures on a wide range of scales. The nTP process is used to obtain periodic nanoscale patterns on the target substrates, and then an optimum laser-based patterning is established to effectively engrave various nanopatterned surfaces. Well-defined square and dot-shaped multiscale pattern structures are demonstrated, as well as unusual text-shaped pattern structures with rainbow luminescence on colorless polyimide film.
Article
Materials Science, Multidisciplinary
Qiang Chen, Fodil Meraghni, George Chatzigeorgiou
Summary: This paper presents two generalized zeroth-order asymptotic homogenization schemes for analyzing the multiphysics properties of fuzzy fiber-reinforced composites. Numerical simulations confirm the accuracy of these methods.
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
(2023)
Article
Energy & Fuels
Yi-Peng Zhou, Ming-Jia Li, Wei-Wei Yang, Ya-Ling He
Article
Thermodynamics
Yi-Peng Zhou, Ming-Jia Li, Ya-Ling He, Yin-Shi Li
ENERGY CONVERSION AND MANAGEMENT
(2018)
Article
Thermodynamics
Bao-Cun Du, Ya-Ling He, Yu Qiu, Qi Liang, Yi-Peng Zhou
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2018)
Article
Energy & Fuels
Qi Liang, Ya-Ling He, Qinlong Ren, Yi-Peng Zhou, Tao Xie
Article
Energy & Fuels
Yi-Peng Zhou, Ya-Ling He, Zi-Xiang Tong, Zhan-Bin Liu
Article
Thermodynamics
Yi-Peng Zhou, Ya-Ling He, Yi-Huang Hu, Zi-Xiang Tong
ENERGY CONVERSION AND MANAGEMENT
(2019)
Article
Energy & Fuels
Yi-Peng Zhou, Ming-Jia Li, Yi-Huang Hu, Teng Ma
Article
Energy & Fuels
Yi-Huang Hu, Ming-Jia Li, Yi-Peng Zhou, Huan Xi, Tzu-Chen Hung
Summary: The study suggests that reducing reflectance in the full spectrum through nanostructured surfaces can significantly improve the output power of GaAs solar cell based PV-TE hybrid systems.
Article
Energy & Fuels
Yi-Peng Zhou, Ya-Ling He, Yu Qiu, Qinlong Ren, Tao Xie
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.