Article
Energy & Fuels
Fakhar ul Hasnain, Muhammad Irfan, Muhammad Mahabat Khan, Lehar Asip Khan, Hassan Farooq Ahmed
Summary: This study highlights the enhancement of PCM melting performance through the application of branched fins and nanoparticles. Different fin designs are found to significantly improve melting efficiency, while the addition of nanoparticles further reduces melting time. However, the additional nanoparticles decrease the energy storage capacity.
JOURNAL OF ENERGY STORAGE
(2021)
Review
Energy & Fuels
Xueliang Zhu, Yan Li, Qunzhi Zhu
Summary: In the process of industrial waste heat recovery, phase change heat storage technology is popular due to its high heat storage density and constant temperature absorption/release process. This paper summarizes the development of new fins in the industry and the optimization results of size, shape, and arrangement. The research shows that multi-branch structure, non-uniform fin array, and targeted fin arrangement can enhance heat transfer.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Energy & Fuels
Somayeh Davoodabadi Farahani, Amir Davoodabadi Farahani, Amirhossein Jazari Mamoei, Wei-Mon Yan
Summary: In this work, the numerical analysis of heat transfer and melting enhancement of phase change material (PCM) in a cylindrical thermal energy storage system was studied. The RT82 was used as PCM and the finite volume method was employed for numerical solution. The effects of strip fins, Fe3O4 nanoparticles, and uniform and non-uniform magnetic fields on PCM melting were investigated. The results showed that the new arrangement of strip fins reduced the melting time by about 51%. Addition of nanoparticles improved the melting time by 15-22%. The use of uniform magnetic field had little effect, but in finned cases it doubled the amount of releasing energy compared to those without magnetic field. The variable magnetic field improved the phase change process by 39% and a >60% reduction in melting time was observed with parabolic changes in the z-direction of magnetic field origin (electric voltage).
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Burak Izgi
Summary: This study investigates the melting dynamics of PCM filled in a closed vertical cylinder under microgravity and compares it with the melting dynamics under gravity. The results show that the melting performance is slower in microgravity, but can be accelerated by inserting fins.
APPLIED THERMAL ENGINEERING
(2023)
Article
Energy & Fuels
Ji Zhang, Zhi Cao, Sheng Huang, Xiaohui Huang, Kun Liang, Yan Yang, Haoran Zhang, Mi Tian, Mohammad Akrami, Chuang Wen
Summary: This study proposes a novel integration of fin structure and Al2O3 nanoparticles to enhance the melting performance of phase change materials for thermal energy storage systems. The combination of fins and nanoparticles significantly reduces melting time and improves melting characteristics.
Article
Thermodynamics
Zhen Qin, Zheng Hua Low, Chenzhen Ji, Fei Duan
Summary: This research aims to validate the effect of the inclined angle of metal fins on PCM melting and evaluate the efficacy of angled fins in enhancing PCM melting in the LHTES system. Experimental results show that the inclined fins significantly influence the temperature evolution of solid PCM around the fins. Different inclined angles of fins have varying effects on the PCM melting time, with downward inclined fins being the most effective in reducing the melting time.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Energy & Fuels
Kedumese U. Mekrisuh, Shubham Giri, Udayraj, Dushyant Singh, Dibakar Rakshit
Summary: Phase change materials (PCM) play a crucial role in thermal energy storage (TES) systems as storage materials. Different enhancement techniques such as fins, nanoparticles, and hybrid methods are utilized to improve the thermal performance of TES systems. The study demonstrates that optimizing geometric parameters can significantly enhance the thermal performance of TES systems compared to relying solely on enhancement techniques.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Energy & Fuels
Nidhal Ben Khedher, Jasim M. Mahdi, Anmar Dulaimi, Ilia Shojaeinasab Chatroudi, Mohammadreza Ebrahimnataj Tiji, Raed Khalid Ibrahem, A. Yvaz, Pouyan Talebizadehsardari
Summary: Phase-change materials (PCMs) have the potential to address the mismatch between energy supply and demand due to their energy savings, uniform operating temperature, and low cost. This study demonstrates the advantage of using arc-shaped fins as thermal enhancers to improve the thermal functionality of PCM in a storage system. Parametric studies show that modifying the dimensions and angles of the fin configuration can further enhance the heat storage rate.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Multidisciplinary
Mustafa Z. Mahmoud, Hayder I. Mohammed, Jasim M. Mahdi, Dmitry Olegovich Bokov, Nidhal Ben Khedher, Naif Khalaf Alshammari, Pouyan Talebizadehsardari, Wahiba Yaici
Summary: This study presents a numerical optimization of PCM heat exchangers with circular fins of different orientations and distributions to enhance melting and heating rates. Results show that adopting downward-upward fin orientations, longer but thinner fins, and appropriate combinations of Reynolds numbers and inlet temperatures can significantly increase the potential for enhancing PCM melting.
Article
Thermodynamics
Yuanhao Wu, Hayder I. Mohammed, Sheng Chen, Maji Luo, Yang Yu, Zijian Zhou
Summary: The poor thermal conductivity of phase transition materials has hindered the development of latent heat energy storage devices. This research focuses on the impact of toothed fins on the melting process of phase transition materials. Numerical simulations were conducted to examine the effect of different toothed-opening volumes and tooth spacing on the melting periods. The results showed that toothed fins have a lower fin volume and a slightly less positive impact on melting times compared to traditional fins.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Green & Sustainable Science & Technology
Ali Tavakoli, Mahmood Farzaneh-Gord, Amir Ebrahimi-Moghadam
Summary: This study evaluates the thermo-hydraulic performance of utilizing sinusoidal internal fins and phase change material (PCM) in LHTES systems. A numerical framework is developed to analyze the geometrical parameters of the fins and investigate different heat transfer and thermodynamic characteristics. The results show that the highest growth of liquid fraction and the lowest entropy generation are achieved in case 4, with H/L = 0.125 and a thickness of 3mm, compared to a case with simple straight fins.
Article
Thermodynamics
Digant S. Mehta, Bhavesh Vaghela, Manish K. Rathod, Jyotirmay Banerjee
Summary: The experimental analysis on the heat transfer enhancement in concentric tube type Latent Heat Storage Unit (LHSU) using spiral fins revealed that the provision of fins expedited the melting rate and reduced the time required for energy storage. The maximum reduction in charging time of 51.61% was observed with vertical orientation, while inclined and horizontal orientations offered reductions of 40.97% and 34.1% respectively. Integration of spiral fins may enable the application of LHSU to large scale solar thermal applications.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Review
Energy & Fuels
Baizhong Sun, Mingxi Sun, Long Gao, Deyong Che, Yimin Deng
Summary: A double-spherical PCM capsule structure with annular fins was proposed to enhance the thermal response of spherical PCM capsules. The effects of fin parameters on the thermal and melting properties were analyzed by numerical simulation. The results showed that the best fin installation position was outside the inner ball and the heat storage time could be shortened by 14.4% with an increase in fin parameters. The addition of fins changed the law of natural convection and the Nusselt number (Nu) was proportional to each fin parameter.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Amin Shahsavar, Abbas Goodarzi, Pouyan Talebizadehsardari, Mulsum Arici
Summary: This study investigated the phase change process in a double-pipe latent heat storage system with sinusoidal wavy fins, which resulted in significant efficiency improvements. The best wave profile was determined to have a wave-amplitude of 2 mm and a wavelength of 1 mm. Additionally, the characteristics of the water flow in the system were found to impact performance.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Chemistry, Multidisciplinary
Tarek Bouzennada, Farid Mechighel, Kaouther Ghachem, Lioua Kolsi
Summary: A numerical study on a new design of Nano-Enhanced Phase change material (NEPCM)-filled enclosure was conducted in this paper. The results show that both heat transfer and melting rates are significantly improved when the inner tube is located at the bottom region of the enclosure and the concentration of nanoparticles in the PCM is increased.
Article
Energy & Fuels
Zhengjia Zhang, Qingxiang Wang, Zhengguang Liu, Qi Chen, Zhiling Guo, Haoran Zhang
Summary: This study proposed a method to assess the photovoltaic power potential in coal mining subsidence areas and predicted the levelized cost of energy and benefits. Using Yangquan City as a case study, the results showed that the optimal areas for PV power generation matched the existing facilities and could meet a portion of the city's electricity demand.
Article
Gastroenterology & Hepatology
Chao Sui, Chen Lin, Tingting Tao, Wenxian Guan, Haoran Zhang, Liang Tao, Meng Wang, Feng Wang
Summary: This study retrospectively analyzed the clinical data of gastrointestinal stromal tumor (GIST) patients and found that serum CA125 level is associated with tumor progression and overall survival. The findings suggest that CA125 can be used as a prognostic biomarker in GIST patients.
BMC GASTROENTEROLOGY
(2023)
Review
Thermodynamics
Zhengguang Liu, Zhiling Guo, Qi Chen, Chenchen Song, Wenlong Shang, Meng Yuan, Haoran Zhang
Summary: This paper summarizes the sociological and engineering challenges of smart building-integrated photovoltaic (SBIPV) systems and proposes a data-driven solution. Data Sensing, Data Analysis, Data-driven Prediction, and Data-driven Optimization are the key steps to achieve a data-driven SBIPV system. Additionally, the technologies and models for data-driven SBIPV systems are explored to enable automated operational decisions.
Article
Thermodynamics
Hongbing Ding, Yu Zhang, Yan Yang, Chuang Wen
Summary: The phase change phenomenon in supersonic flows is widely used in various industrial applications. However, the understanding of this phenomenon is still limited due to the complex flow behavior. This study proposed a modified model to simulate the internal flow mechanism in supersonic separators, considering the heat and mass transfer between the gaseous phase, droplets, and liquid film. The feasibility of the model was validated through experiments, and the interaction of homogeneous and heterogeneous condensation in supersonic flows was explored for the first time.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Energy & Fuels
Hongbing Ding, Yu Zhang, Yuanyuan Dong, Chuang Wen, Yan Yang
Summary: Supersonic decarburization, a clean CCUS technology using non-equilibrium condensation and swirling separation, is investigated through numerical simulation. The results show that higher pressure, inlet temperature, and mole fraction of CO2 facilitate the condensation process. For separation performance, increasing the mass concentration of inlet heterogeneous droplets improves carbon separation and reduces exergy loss of condensed CO2. This concept has potential applications in offshore natural gas processing for carbon capture.
Article
Energy & Fuels
James Chilver-Stainer, Anas F. A. Elbarghthi, Chuang Wen, Mi Tian
Summary: As we shift towards combating climate change by moving away from internal combustion engines, the importance of hydrogen-powered vehicles and PEMFC technology has significantly increased. In this study, computational fluid dynamics (CFD) modelling was used to determine the optimal configuration for the power output of a PEMFC system by analyzing variations of the primary serpentine design of gas flow channels. The results showed that 11 serpentine channels with a spacing of 3.25 mm were the optimum configuration, with a power density exceeding 0.65 W/cm(2).
Article
Green & Sustainable Science & Technology
Renfu Tu, Qi Liao, Ning Xu, Xuemei Wei, Yi Wang, Yongtu Liang, Haoran Zhang
Summary: Due to resource depletion and tightening carbon emissions policies, there is a gradual substitution of petroleum products with biofuels, resulting in falling demand. While many studies have focused on optimizing the biofuel supply chain, few of them have considered existing petroleum pipelines for policy reasons. This paper presents a logistics optimization model that takes into account multi-product pipeline scheduling from the perspective of biofuel suppliers and proposes a pipe-rail transportation mode to assess the potential optimization of logistics costs. A case study conducted in a region of China verifies the feasibility of the proposed approach and concludes that changes in demand for product oil and biofuels have no effect on the choice of pipeline opening location within certain ranges.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Chemical
Seyed Heydar Rajaee Shooshtari, Jens Honore Walther, Chuang Wen
Summary: This paper presents a novel approach using computational fluid dynamics (CFD) and genetic algorithm to provide new equations for normal shock waves. The proposed model shows more accurate predictions for shock position compared to the traditional theoretical model. It can be used as an accurate and efficient tool for shock position prediction and nozzle design.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Editorial Material
Energy & Fuels
Shaoqi Kong, Gan Feng, Yueliang Liu, Chuang Wen
Article
Thermodynamics
Shiwei Wang, Chao Wang, Hongbing Ding, Yu Zhang, Yuanyuan Dong, Chuang Wen
Summary: The supersonic separator utilizes pressure energy and cold energy recycles to liquefy natural gas and remove water vapor. A novel CFD model was established to analyze the energy efficiency of the supersonic separation process under high-pressure conditions. The model combined the Eulerian-Lagrangian and Eulerian wall film models with the Redlich-Kwong real gas model. The study investigated the effects of inlet pressure on flow characteristics, entropy generation, and optimum parameters of foreign droplets.
Article
Engineering, Civil
Yuhao Yao, Haoran Zhang, Jinyu Chen, Wenjing Li, Ryosuke Shibasaki, Xuan Song
Summary: Human mobility similarity comparison is crucial for modeling city dynamics and has a significant impact on developing intelligent transportation systems. We propose a mobility expression called mobility tableau and a corresponding similarity measurement approach by expanding the origin-destination matrix. Compared to traditional mobility comparison methods, mobility tableau comparison provides multi-dimensional similarity information. Sensitivity analysis based on real GPS data supports the robustness of our approach. Our method demonstrates better performance in two case studies, validating its practicality and superiority.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Engineering, Civil
Yuhao Yao, Haoran Zhang, Lifeng Lin, Guixu Lin, Ryosuke Shibasaki, Xuan Song, Keping Yu
Summary: This paper proposes an intelligent delivery system based on IoT positioning technology, which overcomes the security, privacy, and attractiveness issues of the traditional IoT positioning technology system by introducing blockchain system and location information encryption.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Jinyu Chen, Xiaodan Shi, Haoran Zhang, Wenjing Li, Peiran Li, Yuhao Yao, Satoshi Miyazawa, Xuan Song, Ryosuke Shibasaki
Summary: Monitoring the crowd in urban hotspots is a crucial research topic in urban management with significant social impact. This study proposes a confirmed case-driven time-series prediction model named MobCovid to forecast the crowd in urban hotspots, considering both the number of nighttime staying people and confirmed COVID-19 cases. The effectiveness of the proposed method is validated through multiple comparisons with other baselines.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Engineering, Civil
Zengxian Li, Aijun Liu, Wen-Long Shang, Jiaxin Li, Hui Lu, Haoran Zhang
Summary: This paper presents an innovative fuzzy group decision-making model for assessing regional transportation sustainability, with a focus on evaluating the correlation between different attributes in the evaluation system. The study introduces a partitioned Maclaurin symmetric mean operator which proves to be more applicable in handling attribute correlation and grouping. Furthermore, a modified spherical fuzzy partitioned Maclaurin symmetric mean operator is proposed, expanding its application scope. Weight vectors for attributes and experts are obtained using the extended statistical variance method and evidence-based Bayes approximation method. The research also develops a fuzzy assessment model for sustainable transportation and demonstrates its feasibility and universality through a numerical example and comparison with previous studies.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Remote Sensing
Rui Zhu, Dongxue Guo, Man Sing Wong, Zhen Qian, Min Chen, Bisheng Yang, Biyu Chen, Haoran Zhang, Linlin You, Joon Heo, Jinyue Yan
Summary: To estimate electricity generation and evaluate the socio-economic effects of solar photovoltaic (PV) systems, accurate calculation of installed PV areas and capacity is critical. This study proposes a detail-oriented deep learning network called Deep Solar PV Refiner to enhance PV segmentation from satellite imagery. The optimized network outperforms the benchmark network in various evaluation metrics, and also has competitive performance with state-of-the-art semantic segmentation networks.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(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.
