Article
Green & Sustainable Science & Technology
Zia ul Rehman Tahir, Saiqa Hafeez, Muhammad Asim, Muhammad Amjad, Muhammad Farooq, Muhammad Azhar, Ghulam Murtza Amjad
Summary: This study evaluated 30 models for estimating diffuse horizontal irradiance, with newly developed models outperforming those selected from literature. The performance of models varies across different zones and stations.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2021)
Article
Chemistry, Analytical
Cesar G. Villegas-Mier, Juvenal Rodriguez-Resendiz, Jose Manuel Alvarez-Alvarado, Hugo Jimenez-Hernandez, Akos Odry
Summary: This study predicts solar radiation in the Queretaro area of Mexico using machine learning algorithms and compares the results with other models. The optimized models show significant improvements in accuracy compared to conventional methods, without increasing computational time and performance requirements.
Article
Environmental Sciences
Irfan Uckan, Kameran Mohammed Khudhur
Summary: This study compares sunshine duration-based models with other meteorological parameter-based models and develops new forecasting models. The results show that models based on other meteorological parameters have better predictions, and the newly proposed models provide more accurate estimates of global solar radiation at different locations.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
U. Joshi, P. M. Shrestha, S. Maharjan, A. Bhattarai, N. Bhattarai, N. P. Chapagain, I. B. Karki, K. N. Poudyal
Summary: This paper estimates Angstrom-Prescott model parameters for fifteen different locations in Nepal and develops a correlation for predicting solar insolation using only sunshine hour data. Various statistical parameters were used to validate the developed coefficients.
ADVANCES IN METEOROLOGY
(2022)
Review
Energy & Fuels
Kun Lan, Lingyu Wang, Yong Zhou, Zehao Zhang, Songlin Fang, Pangong Cao
Summary: This paper proposes a new model for predicting global solar radiation based on sunshine rate, and introduces astronomical factors to improve the accuracy of the model. The model was tested and evaluated using radiation data from 83 meteorological stations in China, and the results show that the modified model with astronomical factors performs the best.
FRONTIERS IN ENERGY RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Fei Feng, Kaicun Wang
Summary: By combining SunDu, satellite cloud fraction, and AOD data, this study generated high-spatial-resolution Rs over China from 2000 to 2017, with geographically weighted regression (GWR) showing better performance. The study found that incorporating satellite cloud fraction and AOD data into GWR can produce reliable long-term Rs variations based on SunDu-derived data.
EARTH SYSTEM SCIENCE DATA
(2021)
Article
Environmental Sciences
Fei Feng, Kaicun Wang
Summary: This study shows that SunDu-derived R-s is more accurate than direct observed R-s and satellite R-s products at monthly or longer time scales. The three AVHRR-based satellite R-s products have significant biases in quantifying the trend of R-s due to inhomogeneity in satellite cloud products and lack of information on atmospheric aerosol optical depth. Adjusting the inhomogeneity, a geographically weighted regression fusion method (HGWR) merges ISCCP-HXG R-s with SunDu-derived R-s to produce a high-resolution R-s product over China from 1983 to 2017 with similar trends to SunDu-derived R-s.
Article
Meteorology & Atmospheric Sciences
Greg Spellman, Danielle Bird
Summary: Solar power is becoming increasingly important as a clean energy source for mid-latitude nations like the UK. A study shows that there has been a continuous increase in sunshine duration since the mid-1980s worldwide. The study also explores the relationship between weather types and surface circulation features, finding a strong association between sunshine duration and cloudiness.
THEORETICAL AND APPLIED CLIMATOLOGY
(2023)
Article
Green & Sustainable Science & Technology
Muhannad Alaraj, Ibrahim Alsaidan, Astitva Kumar, Mohammad Rizwan, Majid Jamil
Summary: Solar photovoltaic (SPV) power penetration in dispersed generation systems is rising, resulting in stability and reliability issues. Therefore, it is crucial to forecast SPV power using climatic parameters.
Article
Environmental Sciences
Divya Prakash, Sunita Verma, Swagata Payra, Vivek Kumar
Summary: This study identified the impact of a solar eclipse on meteorological parameters and trace gases using statistical analyses. The solar eclipse led to a rapid decrease in solar direct radiation, a decrease in temperature, and a slight increase in relative humidity. The eclipse also had an inverse correlation with the variations in trace gases.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Abdullah M. Noman, Zeyad A. Haidar, Ali S. Aljumah, Sulaiman Z. Almutairi, Mohammed H. Alqahtani
Summary: This paper presents a new method for forecasting the distortion in global solar radiation during the midday time by analyzing the solar radiation during the very early hours. It shows a strong relation between the condition of the solar radiation during the very early minutes of the day and the condition of the solar radiation during the midday hours. This relation can help power systems operators determine the safe share of PV plants that can be fed to power systems.
APPLIED SCIENCES-BASEL
(2023)
Article
Energy & Fuels
Ashraf Farahat, Harry D. Kambezidis, Styliani I. Kampezidou
Summary: This study investigates the influence of ground albedo on solar radiation in different tracking modes of solar energy systems. The results show that ground albedo has a minimal effect on solar radiation levels, and a ground albedo of 0.2 can be used in most cases without losing accuracy. However, caution should be exercised in areas with snow cover.
Article
Nuclear Science & Technology
Rongtao Yang, Qian Guo, Zeyu Lu
Summary: By analyzing the radioactive source term data of the AP1000 reactor, the study determined the optimal meteorological conditions for the discharge of airborne radioactive contaminants, with stability being the most sensitive parameter. Late summer to the middle autumn were found to be the most favorable seasons for emissions.
PROGRESS IN NUCLEAR ENERGY
(2022)
Article
Environmental Sciences
Sara Bamehr, Samaneh Sabetghadam
Summary: Global solar radiation is an important research variable, and this study assessed it in the urban area of Mashhad, Iran from 2000 to 2018 using multiple linear regression and artificial neural networks based on satellite data. Cloud cover has a significant impact on solar radiation, while cloud optical depth affects the accuracy of estimation.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Marcia Akemi Yamasoe, Nilton Manuel Evora Rosario, Samantha Novaes Santos Martins Almeida, Martin Wild
Summary: The study found a dimming effect on surface solar irradiation in Sao Paulo between 1961 and the early 1980s, with no brightening effect observed. There was an increasing trend in cloud cover fraction and surface downward irradiation, while sunshine duration and diurnal temperature range showed decreasing trends.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)
Article
Engineering, Electrical & Electronic
Abdullah Al-Sehemi, Ahmed Al-Ghamdi, Nikolay Dishovsky, Gabriela Atanasova, Nikolay Atanasov
Summary: A flexible and compact multiband wearable antenna with a simple and low-profile structure is proposed in this paper. It is capable of covering most identified frequency bands for biomedical applications and demonstrates robust on-body performance and radiation efficiency.
IETE JOURNAL OF RESEARCH
(2023)
Editorial Material
Chemistry, Physical
S. Wageh, Ahmed A. Al-Ghamdi, Quanlong Xu
ACTA PHYSICO-CHIMICA SINICA
(2022)
Article
Green & Sustainable Science & Technology
Xidong Zhang, Jiaguo Yu, Wojciech Macyk, S. Wageh, Ahmed A. Al-Ghamdi, Linxi Wang
Summary: In this study, a step-scheme heterojunction photocatalyst C3N4/PDA (CNP) was constructed, which showed improved H2O2 production rate compared to most reported photocatalysts.
ADVANCED SUSTAINABLE SYSTEMS
(2023)
Review
Chemistry, Multidisciplinary
Asif Hayat, Muhammad Sohail, Usama Anwar, T. A. Taha, H. I. A. Qazi, Amina, Zeeshan Ajmal, Abdullah G. Al-Sehemi, Hamed Algarni, Ahmed A. Al-Ghamdi, Mohammed A. Amin, Arkom Palamanit, W. Nawawi, Emad F. Newair, Yasin Orooji
Summary: The increasing demand for sustainable energy production has led to the extensive use of solar power technology, particularly in the combustion of pollutants, CO2 reduction, photocatalysis, and hydrogen gas production. Semiconductor-based photocatalysis, such as g-C3N4, has emerged as a promising solution due to its superior electronic configuration and high performance. However, g-C3N4's photocatalytic activity is hindered by its small surface area and charge recombination. Various synthetic strategies have been employed to enhance photocatalytic performance by incorporating g-C3N4 with different materials. This review provides an overview of the latest g-C3N4-based materials and their applications in solar energy and environmental management.
Article
Materials Science, Multidisciplinary
Tianzhong Li, Jinyong Wang, Tongkai Chen, Swelm Wageh, Ahmed A. Al-Ghamdi, Jiangtian Yu, Zhongjian Xie, Han Zhang
Summary: In this study, a drug formulation based on lactic acid bacteria (LAB) was developed to produce reactive oxygen species (ROS) in tumors and induce host immunity. The LAB were modified with zeolitic imidazolate framework-67 (ZIF-67) and effectively delivered into tumor cells, leading to the generation of ROS upon light exposure. The bacterial hybrid induced tumor shrinkage through photodynamic therapy and stimulated inflammation to attract immune cells for cancer elimination.
SCIENCE CHINA-MATERIALS
(2023)
Article
Engineering, Environmental
Ruchun Li, Panyong Kuang, Swelm Wageh, Ahmed A. Al-Ghamdi, Haolin Tang, Jiaguo Yu
Summary: In this study, a core@shell structure of metallic Ni@O-riched Ni layer (Ni@O-Ni) pre-electrocatalyst was established, which possesses a unique self-adaptable ability for potential-dependent reconstruction to generate actual active sites for catalytic reactions. The catalytic system showed outstanding efficiency and stability in hydrogen evolution reaction (HER) and organic compound oxidation reaction.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Green & Sustainable Science & Technology
Gaowei Han, Chengyuan Liu, Yang Pan, Wojciech Macyk, Swelm Wageh, Ahmed A. Al-Ghamdi, Feiyan Xu
Summary: We developed a novel metal-organic frameworks (MOFs)-derived In2O3/ZnO tubular S-scheme heterojunction photocatalyst for solar-driven CO2 photoreduction. The efficient charge separation, stronger redox ability, and powerful CO2 activation of the In2O3/ZnO S-scheme heterojunctions contribute to the enhanced CO production rate and nearly 100% selectivity.
ADVANCED SUSTAINABLE SYSTEMS
(2023)
Article
Polymer Science
Ahmed A. A. Al-Ghamdi, Ahmed A. A. Galhoum, Ahmed Alshahrie, Yusuf A. A. Al-Turki, Amal M. M. Al-Amri, S. Wageh
Summary: To combat Cu(II) pollution, chitosan-nanohybrid derivatives were developed for effective copper adsorption. These derivatives exhibited selective adsorption for Cu(II) from multicomponent solutions and showed high durability over multiple cycles. The adsorption properties and interaction behaviors were thoroughly studied and explained using XPS and FTIR analysis.
Article
Multidisciplinary Sciences
Ahmed Alghamdi
Summary: A novel Interpolation and Exponential Function-centered Deep Learning Neural Network (IEF-DLNN) and multi-objective-based optimizing control system has been proposed for Seawater Desalination (SWD). Experimental evaluation shows that the proposed system achieves better performance compared to existing methodologies.
Article
Multidisciplinary Sciences
Richard O. Ocaya, Yusuf Orman, Abdullah G. Al-Sehemi, Aysegul Dere, Ahmed A. Al-Ghamdi, Fahrettin Yakuphanoglu
Summary: This article presents evidence for the existence of illumination and bias-dependent negative differential conductance (NDC) in Ni-doped Al/ZnO/p-Si Schottky diodes, and explores the possible mechanism for its origin. The Ni doping percentages ranged from 0% to 10%. NDC was observed between -1.5 V and -0.5 V in reverse bias under illumination, but only at certain doping levels and specific forward bias. Moreover, the devices exhibited excellent optoelectronic characteristics in the photoconductive and photovoltaic modes, with open circuit voltages ranging from 0.03 V to 0.6 V under illumination.
Article
Education, Scientific Disciplines
Reham Kaifi, Ahmed Subahi, Salem Alqarni, Ahmed Jaddawi, Ahmed Alghamdi, Khalid M. Alshamrani
Summary: This study aimed to examine the psychological, physical activity, and educational effects of COVID-19 on radiological sciences students and interns in Saudi Arabia. The results showed that COVID-19 had a negative impact on the mental health and physical activity of the participants, but they reported positive academic outcomes.
ADVANCES IN MEDICAL EDUCATION AND PRACTICE
(2023)
Article
Physics, Condensed Matter
Kwado Mensah-Darkwa, Richard O. Ocaya, Abdullah G. Al-Sehemi, Daniel Yeboah, Aysegul Dere, Ahmed A. Al-Ghamdi, Ram K. Gupta, Fahrettin Yakuphanoglu
Summary: In this study, metal-semiconductor-metal (MSM) ZnO-based Schottky barrier diodes (SBDs) were fabricated using titanium-doped tin-zinc oxide (SZT) films by sol-gel spin coating. The effects of Ti doping concentration on the structural, optical, and electrical properties were studied. The results showed that Ti doping improved the performance of the devices by increasing the barrier heights and improving rectification ratios.
PHYSICA B-CONDENSED MATTER
(2023)
Article
Physics, Condensed Matter
Richard O. Ocaya, Abdullah G. Al-Sehemi, Adem Tataroglu, Aysegul Dere, Ibrahim Erol, Mecit Aksu, Ahmed A. Al-Ghamdi, Fahrettin Yakuphanoglu
Summary: This study investigates the fabrication and performance analysis of Al/CuO:LaB6/p-Si/Al diodes with varying concentrations of CuO-doped LaB6 interlayer films. The study reveals that by controlling CuO doping in LaB6, the effective barrier height at the LaB6:CuO heterojunction can be significantly enhanced, improving rectification properties. These findings contribute to the development of high-performance LaB6-based devices, advancing photonic technologies by emphasizing the advantages of CuO doping.
PHYSICA B-CONDENSED MATTER
(2023)
Article
Engineering, Environmental
Zeeshan Ajmal, Yassine Naciri, Munir Ahmad, Abdelghani Hsini, Asmae Bouziani, Mohmed Laabd, Waseem Raza, Adil Murtaza, Anuj Kumar, Sami Ullah, Abdullah G. Al-Sehemi, Ahmed A. Al-Ghamdi, Abdul Qadeer, Asif Hayat, Ridha Djellabi
Summary: Volatile and semi volatile organic compounds (VOCs and SVOCs) are serious environmental pollutants causing diseases worldwide. Photocatalytic technology using conductive polymers (CPs) such as polyaniline (PANI), polypyrrole (PPy), and polythiophene (PTh), along with inorganic oxide semiconductors, shows great potential in removing VOCs and SVOCs due to their multifunctional properties and high efficiency.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Review
Physics, Applied
Bo Fu, Ce Shang, Hengyu Liu, Shuzheng Fan, Kangjun Zhao, Yule Zhang, Swelm Wageh, Ahmed Al-Ghamdi, Xiaogang Wang, Lijun Xu, Xiaosheng Xiao, Han Zhang
Summary: In this article, we review two types of mode-locked lasers with multimode fibers (MMFs), one using a short segment of MMF as a saturable absorber (SA), and the other constructing multimode cavities for spatiotemporal mode-locking (STML). The principles of MMF-based SA and STML are described based on the common theory of multimode nonlinear fiber optics. A detailed overview of recent progress and a perspective for the development of mode-locked lasers with MMFs are also provided.
APPLIED PHYSICS REVIEWS
(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.