Article
Thermodynamics
Kaili Yin, Xiaojing Zhang, Jingchao Xie, Ziyang Hao, Guofeng Xiao, Jiaping Liu
Summary: This study aimed to model hourly solar diffuse fraction based on sky conditions using a 10-year dataset from 2005 to 2014. Five cities in China were selected as representatives of five solar climatic zones. The results showed that the sky conditions could be divided into morning and afternoon segments based on time dimension. The respective models for the morning and afternoon periods were found to improve the modeling of the hourly solar diffuse fraction in different solar climatic zones.
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
Thermodynamics
Maria Nunez Munoz, Erica E. F. Ballantyne, David A. Stone
Summary: This paper developed empirical models for estimating hourly diffuse solar irradiance on horizontal surfaces by evaluating existing models and creating new correlations based on ground level measurements from three different regions in the United Kingdom. The new models significantly improved accuracy compared to existing empirical models for the three regions evaluated in this study.
Article
Computer Science, Artificial Intelligence
Zhanyu Ma, Yuping Lai, Jiyang Xie, Deyu Meng, W. Bastiaan Kleijn, Jun Guo, Jingyi Yu
Summary: The paper proposes a Bayesian nonparametric approach for the estimation of a Dirichlet process mixture of generalized inverted Dirichlet distributions, overcoming numerical simulation challenges by introducing lower bound approximations in the extended variational inference framework. By applying the DP mixture technique, the model can automatically determine the number of mixture components, while also avoiding underfitting and overfitting issues.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Oliver O. Apeh, Ochuko K. Overen, Edson L. Meyer
Summary: The constant load shedding in South Africa is aimed at maintaining the aging coal power plants, while efforts to reduce carbon emissions through solar photovoltaic resources are ongoing. Alice, South Africa, has abundant sunshine, making it suitable for solar energy generation. The study found high frequency of clear and partially cloudy skies in Alice, indicating its potential for solar energy conversion.
Article
Green & Sustainable Science & Technology
Guilherme Santos Martins, Mateus Giesbrecht
Summary: The paper proposes two methods for predicting solar radiation clearness index (CI), one solving a stochastic realization problem to find a mathematical model and implementing a state observer for prediction, the other using k-Nearest Neighbors (k-NN) regression algorithm with two different approaches. Results show that the accuracy of these methods varies for different prediction horizons.
Article
Optics
H. Yakoubi, Y. EL Mghouchi, N. Abdou, A. Hajou, A. Khellouki
Summary: New correlation models were proposed in this study for estimating monthly average daily global solar radiation on a horizontal surface by combining clearness index with cloud cover and other meteorological parameters. The newly developed model showed good prediction accuracy for the considered Moroccan cities, which could be potentially applied in future solar energy applications in similar climatic conditions.
Article
Meteorology & Atmospheric Sciences
Nikolaos Proutsos, Stavros Alexandris, Aristotle Liakatas, Panagiotis Nastos, Ioannis X. Tsiros
Summary: Photosynthetically active (PAR) and ultraviolet-A (UVA) radiation have significant effects on plant processes and are important for studying the composition of global solar radiation. This study conducted in a high-altitude forest in Greece found that PAR/Rs and UVA/Rs ratios were affected by atmospheric clearness and the geometric characteristics of incident radiation. Relative humidity, optical thickness, and relative optical air mass were found to increase PAR/Rs and UVA/Rs ratios, while saturation vapor pressure, vapor pressure deficit, and to a lesser extent air temperature decreased these ratios.
ATMOSPHERIC RESEARCH
(2022)
Article
Energy & Fuels
Chengcheng Jiang, Qunzhi Zhu
Summary: Due to the limited number of global solar radiation observation stations, it is important to design realistic models for predicting global solar radiation of varying sequence lengths. This study proposes a prediction model based on Pearson correlation analysis and different input combinations. The proposed model, Informer, outperforms classical machine learning models in terms of predictive accuracy.
Article
Energy & Fuels
Bouazza Fekkak, Mustapha Merzouk, Abdallah Kouzou, Ralph Kennel, Mohamed Abdelrahem, Ahmed Zakane, Mostefa Mohamed-Seghir
Summary: This study compares measured solar radiations with calculated values from theoretical models at specific sites in Algeria. The accuracy of different models is assessed by comparing experimental and predicted data, providing insights into the reliability of each model for solar radiation estimation at the locations under investigation.
Article
Energy & Fuels
Sourav Malakar, Saptarsi Goswami, Bhaswati Ganguli, Amlan Chakrabarti, Sugata Sen Roy, K. Boopathi, A. G. Rangaraj
Summary: Accurate short-term solar forecasting is challenging due to weather uncertainties associated with cloud movements. This study proposes a method that improves prediction performance by clustering and dynamically selecting models. The validation results from nine solar stations across two regions and three climatic zones in India show that the proposed model achieves lower normalized root mean square error and mean rank compared to benchmark models.
Article
Mathematics
Ruslan Abdulkadirov, Pavel Lyakhov, Nikolay Nagornov
Summary: This paper introduces a method for extreme searching of multidimensional functions based on the natural gradient descent algorithm, which can help improve the accuracy of neural networks and reduce training time. By describing the multidimensional surface with probability distributions, the natural gradient can reduce the accuracy changes of gradient and step size. Experiments have shown that this approach can effectively converge in various types of neural networks.
Article
Public, Environmental & Occupational Health
Xinshuo Zhang, Mengli Zhang, Yong Cui, Ying He
Summary: This study analyzed the effects of air pollution characteristics on solar radiation and found that different pollutants have varying impacts on solar radiation, with O-3 showing the highest correlation. The study also revealed regional differences in the key pollutants affecting solar radiation. The performance of the model-C in prediction was better than model-U, except for Urumqi where model-U showed good performance. This study provides valuable insights for improving regional solar radiation prediction and addressing data gaps in some areas.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Energy & Fuels
Liwei Yang, Xiaoqing Gao, Zhenchao Li, Dongyu Jia
Summary: This study quantitatively analyzed the impact of air pollution on solar radiation in six typical cities in China. The results showed different levels of attenuation and increment in global and diffuse solar radiation due to air pollution. Beijing was the city with the greatest impact of air pollution, while Guangzhou had the least impact.
Article
Environmental Studies
Ousmane Wane, Julian A. Ramirez Ceballos, Francisco Ferrera-Cobos, Ana A. Navarro, Rita X. Valenzuela, Luis F. Zarzalejo
Summary: The aims of this study were to analyze quality solar radiation data and develop hourly models of photosynthetically active radiation using various radiometric variables and solar elevation angle. Data from two locations with different climates were used for comparison and validation. The models that included the clearness index and solar elevation angle showed the best performance, especially the interval models.
Article
Green & Sustainable Science & Technology
Rudy Calif, Ted Soubdhan
Article
Thermodynamics
Stephanie Monjoly, Maina Andre, Rudy Calif, Ted Soubdhan
Correction
Environmental Sciences
Thomas Plocoste, Rudy Calif, Sandra Jacoby-Koaly
ATMOSPHERIC ENVIRONMENT
(2018)
Article
Energy & Fuels
Maina Andre, Richard Perez, Ted Soubdhan, James Schlemmer, Rudy Calif, Stephanie Monjoly
Article
Environmental Sciences
Thomas Plocoste, Rudy Calif, Sandra Jacoby-Koaly
ATMOSPHERIC ENVIRONMENT
(2019)
Article
Energy & Fuels
Stephanie Monjoly, Maina Andre, Rudy Calif, Ted Soubdhan
Article
Environmental Sciences
Thomas Plocoste, Rudy Calif, Lovely Euphrasie-Clotilde, France-Nor Brute
ATMOSPHERIC POLLUTION RESEARCH
(2020)
Article
Meteorology & Atmospheric Sciences
Thomas Plocoste, Rudy Calif, Lovely Euphrasie-Clotilde, France-Nor Brute
ATMOSPHERIC RESEARCH
(2020)
Article
Environmental Sciences
Thomas Plocoste, Rafael Carmona-Cabezas, Francisco Jose Jimenez-Hornero, Eduardo Gutierrez de Rave, Rudy Calif
ATMOSPHERIC POLLUTION RESEARCH
(2020)
Article
Environmental Sciences
Thomas Plocoste, Rudy Calif
Summary: The study investigates the causal relationship between PM10 and air temperature, finding a bidirectional causality between the two parameters. PM10 concentrations tend to stabilize air temperature values, while air temperature values influence PM10 concentrations differently in high and low dust seasons.
ATMOSPHERIC POLLUTION RESEARCH
(2021)
Article
Environmental Sciences
Thomas Plocoste, Lovely Euphrasie-Clotilde, Rudy Calif, France-Nor Brute
Summary: The aim of this study was to estimate the PM10 detection threshold for African dust in the Caribbean basin using statistical and dynamic analysis. The results revealed that the threshold is 28μg/m³, which is crucial for protecting vulnerable populations during dusty events.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Energy & Fuels
Fateh Mehazzem, Maina Andre, Rudy Calif
Summary: This paper studies the performance of the fuzzy MPPT approach in photovoltaic energy, combined with short time scale irradiance forecasting for PV power estimation. A case study in a tropical insular region is conducted to validate the research. Solar forecasting with fuzzy MPPT allows for advance estimation of PV power, which is essential for optimal energy management in smart energy production systems.
Proceedings Paper
Energy & Fuels
F. G. Schmitt, O. Duran Medina, R. Calif
PROGRESS IN TURBULENCE VIII
(2019)
Article
Environmental Sciences
Thomas Plocoste, Rudy Calif, Sandra Jacoby-Koaly
ATMOSPHERIC ENVIRONMENT
(2017)
Article
Green & Sustainable Science & Technology
Olmo Duran Medina, Francois G. Schmitt, Rudy Calif, Gregory Germain, Benoit Gaurier
Article
Energy & Fuels
Siddharth Sradhasagar, Omkar Subhasish Khuntia, Srikanta Biswal, Sougat Purohit, Amritendu Roy
Summary: In this study, machine learning models were developed to predict the bandgap and its character of double perovskite materials, with LGBMRegressor and XGBClassifier models identified as the best predictors. These models were further employed to predict the bandgap of novel bismuth-based transition metal oxide double perovskites, showing high accuracy, especially in the range of 1.2-1.8 eV.
Article
Energy & Fuels
Wei Shuai, Haoran Xu, Baoyang Luo, Yihui Huang, Dong Chen, Peiwang Zhu, Gang Xiao
Summary: In this study, a hybrid model based on numerical simulation and deep learning is proposed for the optimization and operation of solar receivers. By applying the model to different application scenarios and considering multiple performance objectives, small errors are achieved and optimal structure parameters and heliostat scales are identified. This approach is not only applicable to gas turbines but also heating systems.
Article
Energy & Fuels
Mubashar Ali, Zunaira Bibi, M. W. Younis, Muhammad Mubashir, Muqaddas Iqbal, Muhammad Usman Ali, Muhammad Asif Iqbal
Summary: This study investigates the structural, mechanical, and optoelectronic properties of the BaCuF3 fluoroperovskite using the first-principles modelling approach. The stability and characteristics of different cubic structures of BaCuF3 are evaluated, and the alpha-BaCuF3 and beta-BaCuF3 compounds are found to be mechanically stable with favorable optical properties for solar cells and high-frequency UV applications.
Article
Energy & Fuels
Dong Le Khac, Shahariar Chowdhury, Asmaa Soheil Najm, Montri Luengchavanon, Araa mebdir Holi, Mohammad Shah Jamal, Chin Hua Chia, Kuaanan Techato, Vidhya Selvanathan
Summary: A novel recycling system is proposed in this study to decompose and reclaim the constituent materials of organic-inorganic perovskite solar cells (PSCs). By utilizing a one-step solution process extraction approach, the chemical composition of each layer is successfully preserved, enabling their potential reuse. The proposed recycling technique helps mitigate pollution risks, minimize waste generation, and reduce recycling costs.
Article
Energy & Fuels
Peijie Lin, Feng Guo, Xiaoyang Lu, Qianying Zheng, Shuying Cheng, Yaohai Lin, Zhicong Chen, Lijun Wu, Zhuang Qian
Summary: This paper proposes an open-set fault diagnosis model for PV arrays based on 1D VoVNet-SVDD. The model accurately diagnoses various types of faults and is capable of identifying unknown fault types.
