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
Multidisciplinary Sciences
Gan Huang, Jingyuan Xu, Christos N. Markides
Summary: Most solar energy incident (>70%) on commercial photovoltaic panels is converted into heat, causing a decrease in electrical performance. The solar utilisation efficiency is typically below 25%. However, a hybrid multi-generation photovoltaic leaf concept using biomimetic transpiration structure can effectively manage heat and improve electrical efficiency by 13.6%. Additionally, it can also generate thermal energy and clean water, increasing the overall solar utilisation efficiency to over 74.5% and producing more than 1.1 L/h/m(2) of clean water.
NATURE COMMUNICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Huaxu Liang, Fuqiang Wang, Luwei Yang, Ziming Cheng, Yong Shuai, Heping Tan
Summary: The spectral beam splitting (SBS) hybrid PV/T system is an effective way to utilize full spectrum solar energy for electricity generation and high-grade heat production. By dividing sunlight based on wavelength matching, the system can increase overall efficiency and separate the photoelectric and photothermal conversion processes. The use of nanofluids, nano-film, and semitransparent PV cells has shown promising advancements in improving system efficiency and addressing operational temperature issues.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Thermodynamics
Yi-Peng Zhou, Jia-Chen Xu, Xin-Yue Ma, Pei-Xin Yang, Ya-Ling He
Summary: In order to achieve low-cost reasonable utilization of the full solar spectrum, a photovoltaic/thermoelectric/electrolysis (PTE) hybrid system based on a novel utilization strategy is proposed. Through the design of a thermal collector, a PV-TE component and a water electrolysis component, the full solar spectrum energy can be reasonably and efficiently allocated and utilized. The PTE hybrid system not only offers better performance (generation and storage), but also better integration, providing a guiding idea for the full solar spectrum utilization.
ENERGY CONVERSION AND MANAGEMENT
(2023)
Article
Thermodynamics
Yusheng Zhang, Xuehua Zhao, Xin Wang, Aiyun Li, Xinhao Wu
Summary: This study proposes a methodology for optimizing the design of an on-grid hydro photovoltaic (PV) system considering power transmission capacity. Two evaluation indicators are proposed and an optimization design model is established. The study applies these methodologies to a case study in northwest China and provides insights into the joint development of flexible hydropower stations and volatile new energy sources.
Article
Chemistry, Analytical
Daniel Vazquez Pombo, Henrik W. Bindner, Sergiu Viorel Spataru, Poul Ejnar Sorensen, Peder Bacher
Summary: In this research, a generic physical model is introduced into machine learning predictors for accurate photovoltaic power forecasts up to three days ahead. Basic dataset including power, wind speed, and air temperature measurements is required. Physic-informed metrics are used to capture the operational point of the photovoltaic system. The study-case validates the effectiveness of the proposed physics-informed approach across various machine learning methods.
Article
Green & Sustainable Science & Technology
Zhongqun Wu, Mbanda L. Njoke, Guangning Tian, Jing Feng
Summary: This paper analyzes the current situation and challenges of investment and financing of photovoltaic power generation in Cameroon, pointing out that government behavior defects are the root cause of inadequate investment and financing. Policy recommendations are proposed to improve the situation.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Energy & Fuels
Daniel Vazquez Pombo, Peder Bacher, Charalampos Ziras, Henrik W. Bindner, Sergiu Spataru, Poul E. Sorensen
Summary: This paper reviews and compares the most relevant machine learning methods and statistical methods identified in the literature for solar photovoltaic (PV) power system forecasting. The authors propose a methodology that integrates a PV-performance model and physics-informed feature selection, and validate it through a case study in Denmark. The results show that the best machine learning models consistently utilize physics-informed features.
Article
Engineering, Electrical & Electronic
P. Yuvaraj, R. Senthil Kumar
Summary: This paper focuses on the development of a hybrid solar-wind power system that combines the renewable energy of wind and sun. The system utilizes maximum power point tracking (MPPT) and solar charging controller to optimize power utilization and improve energy efficiency. By providing extra power to the grid and charging the battery when necessary, the system reliability and efficiency are effectively improved.
JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY
(2023)
Article
Chemistry, Physical
Balakrishna Kethineni, Iskandar Muda, Natalia Prodanova, Shavan Askar, Sherzod Abdullaev, Ali Shamel, Nasser Mikaeilvand
Summary: Polymer membrane electrolyzers are useful for producing hydrogen, which can be used to power unmanned aerial vehicle (UAV) fuel cells. The efficiency of the electrolyzer is affected by factors such as radiation intensity and current density, and an increase in hydrogen production leads to a decrease in energy and exergy efficiencies.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Review
Chemistry, Physical
Douglas J. Arent, Shannon M. Bragg-Sitton, David C. Miller, Thomas J. Tarka, Jill A. Engel-Cox, Richard D. Boardman, Peter C. Balash, Mark F. Ruth, Jordan Cox, David J. Garfield
Summary: Jurisdictions and industries are striving to decarbonize energy systems by setting ambitious goals, requiring energy technologies to be adapted to meet key attributes of modern energy systems. This paper presents novel concepts for combining diverse energy generation technologies to meet demanding requirements, emphasizing the importance of synergies among energy technologies.
Article
Chemistry, Physical
Zhaojian Zhang, Junbo Yang, Te Du, Hansi Ma, Xinpeng Jiang
Summary: This study investigates the phenomenon of polariton-induced transparency (PoIT) using a hetero-nanostructure with hybrid two-dimensional materials, creating a transparent window in the mid-infrared region with slow light effects. The transparency is dominantly controlled by electric dipole and exhibits reciprocity, while being insensitive to incident angles and serving as a mid-infrared sensor and dual-band absorber.
Review
Thermodynamics
Ali Faddouli, Mohammed Hajji, Salah Fadili, Bouchaib Hartiti, Hicham Labrim, Abderrahim Habchi
Summary: This paper introduces the latest possibilities of integrating various solar collectors with thermoelectric generators (TEGs) and presents the key promising results. The combined structures produce both thermal and electrical energy from solar radiation, resulting in better exploitation of solar energy. The basic principles of combined solar thermal and electrical conversion systems are summarized, along with discussions on thermoelectric generators, recent applications, and factors affecting thermal-electric conversion efficiency. Feasibility analyses, experimental applications, types, and performance of photovoltaic-thermoelectric (PV/TE) systems are reviewed, along with research on the utilization of thermoelectric generators in various solar thermal collectors. The paper also examines the integration of tri-generation solar hybrid systems and provides valuable references for future solar energy research and applications.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Astronomy & Astrophysics
Joe Zhiyu Chen, Markus R. Mosbech, Amol Upadhye, Yvonne Y. Y. Wong
Summary: Simulation of the cosmic clustering of massive neutrinos is challenging due to their large velocity dispersion and weak clustering power. A new approach, the multi-fluid hybrid-neutrino simulation, is presented, which partitions the neutrino population into multiple flows and treats each flow as a separate fluid. The simulation shows convergence to <3% if conversion happens at z = 19 and agrees with more expensive simulations for high neutrino fractions.
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
(2023)
Article
Energy & Fuels
Hualu Zhang, Jie Shi, Chunping Zhang
Summary: This paper proposes a hybrid ensembled model consisting of Double-Input-Fuzzy-Modules (DIFM) and Extreme Learning Machine for predicting photovoltaic power generation. By dealing with uncertainties and time series prediction, the model demonstrates superior performance in improving prediction accuracy.
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
Ya-Ling He, Yi-Peng Zhou, Yi-huang Hu, Tzu-Chen Hung
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.