Article
Energy & Fuels
Alfredo Nespoli, Alessandro Niccolai, Emanuele Ogliari, Giovanni Perego, Elena Collino, Dario Ronzio
Summary: This study presents a new model and method to detect clouds that may affect the output power of solar panels in real time, and proposes a novel procedure for predicting the clearness sky index in a short period of time in a specific geographical area.
Article
Computer Science, Information Systems
Salsabeel Shapsough, Mohannad Takrouri, Rached Dhaouadi, Imran A. Zualkernan
Summary: This paper introduces a novel IoT-based architecture for real-time monitoring and management of large-scale solar photovoltaic systems. Through evaluation of network delay and resource consumption, the architecture is proven to be ideal for solar and smart grid monitoring systems.
Article
Energy & Fuels
B. L. Madhavan, M. Venkat Ratnam
Summary: The study found that during the annular solar eclipse, there were significant changes in spectral and broadband irradiances, with diffuse fraction showing spectral dependence while deviations in global horizontal irradiance and direct normal irradiance were comparable at different wavelengths. Furthermore, there were varying reductions in broadband irradiances at different wavelengths during the eclipse, with PV energy generation being reduced by 37% compared to a clear-sky day.
Review
Chemistry, Physical
Bin Kan, Faheem Ershad, Zhoulyu Rao, Cunjiang Yu
Summary: Organic solar cells (OSCs) have made significant progress in efficiency and cost through the evolution of organic photovoltaic materials and device engineering. Their emerging and potential usages in critical applications such as biomedical fields are on the rise.
Article
Chemistry, Multidisciplinary
Gideon Oyibo, Thomas Barrett, Sharadh Jois, Jeffrey L. Blackburn, Ji Ung Lee
Summary: This study presents an all-semiconducting single-walled carbon nanotube device with a tandem geometry that models the process of photosynthesis. By separating the light absorption and power generation processes using distinct chirality and bandgap single-walled carbon nanotubes, the device captures photons from multiple regions of the solar spectrum and enhances the photoresponse.
Article
Economics
Karl Larsson, Rikard Green, Fred Espen Benth
Summary: In this study, a novel stochastic time series model is proposed to explain the stylized features of daily irradiation level data in 5 cities in Germany. The model is applicable for risk management of photovoltaic power production in renewable energy markets. The suggested dynamics is a low-order autoregressive time series with seasonal level determined by an atmospheric clear-sky model. Additionally, the skewness property in residuals is detected and explained by a winter-summer regime switch. The stochastic variance is modeled by a seasonally varying GARCH dynamics. The winter and summer standardized residuals are proposed to follow a Gaussian mixture model to capture the bimodal distributions. The model is estimated and validated using observed data, and an application to energy markets studying the production at risk for a PV-producer is presented.
Article
Materials Science, Multidisciplinary
Rui Ge, Yajie Zhao, Chengyu Jiang, Jieyuan Zheng, Lirong Chen, Yang Zheng, Gang Xu, Xiudi Xiao
Summary: The study presents a photovoltaic thermochromic smart window that combines perovskite with thermochromic and photovoltaic properties. It can control the solar transmittance at different temperatures and convert absorbed light energy into usable electric energy.
SCIENCE CHINA-MATERIALS
(2023)
Article
Green & Sustainable Science & Technology
Noor Bariah Mohamad, An -Chow Lai, Boon-Han Lim
Summary: This study evaluated and ranked 11 imputation methods under normal and adverse weather conditions, with the results showing that the best performing methods for various weather types belong to the Spline and Linear families, while the Bezier method is only suitable for conservative estimation.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Thermodynamics
Bingnan Wang, Shan Jiang, Zhan'ao Tan
Summary: This study analyzes the performance of photovoltaic systems under over-irradiation conditions using a mathematical model and experimental data. The results show that the system faces challenges in terms of energy generation, increased operating current, and reliability of fuses.
INTERNATIONAL JOURNAL OF GREEN ENERGY
(2023)
Article
Environmental Sciences
Chang Ki Kim, Hyun-Goo Kim, Yong-Heack Kang, Chang-Yeol Yun, Boyoung Kim, Jin Young Kim
Summary: The Korea Institute of Energy Research has constructed Korean solar irradiance datasets, indicating that the southern region is suitable for establishing solar power plants. Additionally, solar insolation is influenced by geographical factors, playing a crucial role in the distribution of solar irradiance.
Article
Energy & Fuels
Remember Samu, Satya Girdhar Bhujun, Martina Calais, G. M. Shafiullah, Moayed Moghbel, Md Asaduzzaman Shoeb, Bijan Nouri
Summary: The rapid increase in solar PV integration into electricity networks presents technical challenges. This study evaluates the performance of an all-sky imager-based nowcasting system in Perth, Western Australia, and proposes a simplified classification method for irradiance variability.
Article
Energy & Fuels
Cornelia A. Fjelkestam Frederiksen, Zuansi Cai
Summary: The study introduces a novel approach to predicting photovoltaic power output using sloped extra-terrestrial irradiance and weather data as input parameters. A neural network model trained on historical data captures large intra-daily variations, proving effective in balancing supply and demand in the electricity system.
Article
Metallurgy & Metallurgical Engineering
J. K. L. S. Monteiro, D. Majuste, M. P. Porto, A. M. Freitas, R. A. M. Gomes
Summary: This study examines the feasibility of using highly-variable direct current to produce high-quality cathodes. By simulating different current profiles and applying them to an electrowinning cell, it was found that highly-variable DC current can still have high efficiency and low energy consumption under different current densities and amplitude variations.
Article
Green & Sustainable Science & Technology
Raden A. A. Ramadhan, Yosca R. J. Heatubun, Sek F. Tan, Hyun-Jin Lee
Summary: This study compares the accuracies of physical and machine learning models in solar power modeling, with machine learning models generally outperforming physical models when input parameters are appropriately selected. Machine learning models significantly reduce the mean bias difference (MBD) compared to physical models, especially for global horizontal irradiance and photovoltaic power estimations. Among machine learning algorithms, long short-term memory and gated recurrent unit are recommended for solar power estimation. The physical model, however, is more efficient in reducing root mean square difference (RMSD) because it considers constant parameters as inputs.
Article
Thermodynamics
Omer Ali Karaman
Summary: This paper presents the application of Particle Swarm Optimization (PSO) Algorithm, Artificial Neural Networks (ANNs), and Bagged Tree (BT) methods for forecasting seasonal solar irradiance in Karapinar town Turkey. The study utilizes input data from 2007 to 2020 to estimate solar irradiance as the output value. The BT method yields the lowest statistical error metrics and there is a strong positive linear relationship between air temperature and solar irradiance. The investigation of the impact of utilizing independent inputs on the forecast output has been conducted.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Education, Scientific Disciplines
Sameer Arabasi
EUROPEAN JOURNAL OF PHYSICS
(2016)
Article
Education, Scientific Disciplines
Sameer Arabasi, Hussein Al-Taani
EUROPEAN JOURNAL OF PHYSICS
(2017)
Article
Acoustics
Sameer Arabasi, Ziyad Masoud
SHOCK AND VIBRATION
(2017)
Article
Education, Scientific Disciplines
Sameer Arabasi
INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION
(2018)
Article
Environmental Sciences
Raquel Ramirez-Vazquez, Sameer Arabasi, Hussein Al-Taani, Suhad Sbeih, Jesus Gonzalez-Rubio, Isabel Escobar, Enrique Arribas
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Optics
MYA Raja, SK Arabasi
