Laidi Maamar, Abdellah el hadj Abdallah, Hanini Salah, Rezrazi Ahmed
{"title":"Prediction and extrapolation of global solar irradiation on tilted surfaces from horizontal ones using an artificial neural network","authors":"Laidi Maamar, Abdellah el hadj Abdallah, Hanini Salah, Rezrazi Ahmed","doi":"10.1109/EFEA.2014.7059998","DOIUrl":"https://doi.org/10.1109/EFEA.2014.7059998","url":null,"abstract":"The present work investigated the potential of Artificial Neural Network (ANN) model to estimate Global Solar radiation on tilted surface (GSRT) from the horizontal ones. The collected experimental data (from meteorological station located in renewable energy development center of Algiers) were divided in to two different subsets as follows training and testing subsets. The training subset was selected in a way that covers all the ranges of the experimental data and operating conditions. Then, the accuracy of the proposed ANN model was evaluated through a test data set not used in the training stage. The optimal configuration of the proposed model was obtained based on the error analysis including Mean Absolute Percentage Error Percent (MAPE %) and the appropriate (close to one) correlation coefficient (R) of test data set. The obtained results show that the optimum neural network architecture was able to predict the GSRT with an acceptable level of accuracy of MAPE (0.48%) and R of 0.999. The low error found with the proposed model indicates that it can estimate GSRT with better accuracy than other methods available in the literature. Also, this model can be used for predicting the GSR for locations where only horizontal global solar radiation data is available, or predict missing values of GSRT due to recording problems.","PeriodicalId":129568,"journal":{"name":"3rd International Symposium on Environmental Friendly Energies and Applications (EFEA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133264559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Join, C. Voyant, M. Fliess, M. Muselli, M. Nivet, C. Paoli, F. Chaxel
{"title":"Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study","authors":"C. Join, C. Voyant, M. Fliess, M. Muselli, M. Nivet, C. Paoli, F. Chaxel","doi":"10.1109/EFEA.2014.7059971","DOIUrl":"https://doi.org/10.1109/EFEA.2014.7059971","url":null,"abstract":"This communication is devoted to solar irradiance and irradiation short-term forecasts, which are useful for electricity production. Several different time series approaches are employed. Our results and the corresponding numerical simulations show that techniques which do not need a large amount of historical data behave better than those which need them, especially when those data are quite noisy.","PeriodicalId":129568,"journal":{"name":"3rd International Symposium on Environmental Friendly Energies and Applications (EFEA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132676620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Perovskite based solar cells: A milestone towards cheaper PV technology","authors":"F. Alharbi, M. I. Hossain, N. Tabet","doi":"10.1109/EFEA.2014.7059955","DOIUrl":"https://doi.org/10.1109/EFEA.2014.7059955","url":null,"abstract":"Perovskite based hybrid organic/inorganic solar cells have recently emerged as a possible alternative to silicon PV technology. These cells are solution processed which makes them significantly cheaper than the current technologies. In addition, the power conversion efficiency of such cells has surged from 6% to 19% in few years and consequently has induced a huge enthusiasm in the photovoltaics community. However, important challenges remain on this emerging path toward affordable solar power. The removal of lead because of its toxicity and improving the durability of the device are the main issues. We discuss some attempts to address these challenges and present our simulation work to assess the potential of using various inorganic hole transport materials to improve both efficiency and durability of the device.","PeriodicalId":129568,"journal":{"name":"3rd International Symposium on Environmental Friendly Energies and Applications (EFEA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128525014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}