The Experts below are selected from a list of 12519 Experts worldwide ranked by ideXlab platform
Ahmad R Faghih - One of the best experts on this subject based on the ideXlab platform.
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empirical models for estimating global solar radiation a review and case study
Renewable & Sustainable Energy Reviews, 2013Co-Authors: Fariba Besharat, A A Dehghan, Ahmad R FaghihAbstract:Solar radiation is a primary driver for many physical, chemical, and biological processes on the earth’s surface. Solar energy engineers, architects, agriculturists, hydrologists, etc. often require a reasonably accurate knowledge of the availability of the solar resource for their relevant applications at their local. In solar applications, one of the most important Parameters needed is the long-term average daily global irradiation. For regions where no actual measured values are available, a common practice is to estimate average daily global solar radiation using appropriate empirical correlations based on the measured relevant data at those locations. These correlations estimate the values of global solar radiation for a region of interest from more readily available Meteorological, climatological, and geographical Parameters. The main objective of this study is to chronologically collect and review the extensive global solar radiation models available in the literature and to classify them into four categories, i.e., sunshine-based, cloud-based, temperature-based, and other Meteorological Parameter-based models, based on the employed Meteorological Parameters as model input. Furthermore, in order to evaluate the accuracy and applicability of the models reported in this paper for computing the monthly average daily global solar radiation on a horizontal surface, the geographical and Meteorological data of Yazd city, Iran was used. The developed models were then evaluated and compared on the basis of statistical error indices and the most accurate model was chosen in each category. Results revealed that all the proposed correlations have a good estimation of the monthly average daily global solar radiation on a horizontal surface in Yazd city, however, the El-Metwally sunshine-based model predicts the monthly averaged global solar radiation with a higher accuracy.
Yongxin Xie - One of the best experts on this subject based on the ideXlab platform.
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outdoor thermal sensation and logistic regression analysis of comfort range of Meteorological Parameters in hong kong
Building and Environment, 2019Co-Authors: Yongxin Xie, Jianlin Liu, Taiyang Huang, Jianlei Niu, Cheuk Ming Mak, Tszcheung LeeAbstract:Abstract Warm and hot days account for most of the time in Hong Kong. Outdoor thermal comfort studies in Hong Kong should give its first consideration to warm and hot days. This study presents investigations about thermal comfort through 1600 human subject responses from the onsite survey with concurrent Meteorological Parameter measurements. Probit analysis was used for searching the thermal neutral range of Hong Kong residents in a year span. Logistic regression was used for locating the Meteorological Parameter ranges for thermal neutral and comfort conditions. It is shown that people had difficulties defining their actual thermal feelings near the thermal neutral status when being asked to use the nine-point thermal sensation scale. Obvious thermal adaptation effect for thermal neutral conditions were observed among Hong Kong residents over the seasons in a year. The transitional seasons had a wider thermal neutral range than that of winter and summer. Summer had the narrowest thermal neutral range. Wind and solar radiation had an interaction effect with air temperature in determining thermal sensation and thermal comfort. Wind can effectively offset the negative effect of solar radiation in summer when the air temperature was lower than 31 °C. The thermal comfort condition allowed a higher limit of solar radiation than the thermal neutral condition when the air temperature was lower than 31 °C. The investigations in this study provide some unique insights into the way to assess urban thermal comfort in the building design stage.
Padma S Rao - One of the best experts on this subject based on the ideXlab platform.
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prediction and examination of seasonal variation of ozone with Meteorological Parameter through artificial neural network at neeri nagpur india
urban climate, 2017Co-Authors: Navneet Kumar, Anirban Middey, Padma S RaoAbstract:Abstract The present study focused on seasonal relations and predictions of the ozone (O3) coupled with NO2 and meteorology. Monitoring of ozone concentration throughout year shows an increasing trend during summer and a decreasing trend in the winter season. A comparison between three types of ANN; multilayer perceptron trained (MLP) with back-propagation, radial basis functions (RBF) and generalized regression neural network (GRNN) for short prediction of ozone are conclusively demonstrated. The model results are validated with observations from next monsoon. Based on the model's performance, the MLP back propagation model gives the best correlation between observed and predicted ozone concentrations than other models. Performance assessment Parameters considered in the study also indicates that MLP is the best-fit model for prediction of ozone concentration throughout the year.
Fariba Besharat - One of the best experts on this subject based on the ideXlab platform.
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empirical models for estimating global solar radiation a review and case study
Renewable & Sustainable Energy Reviews, 2013Co-Authors: Fariba Besharat, A A Dehghan, Ahmad R FaghihAbstract:Solar radiation is a primary driver for many physical, chemical, and biological processes on the earth’s surface. Solar energy engineers, architects, agriculturists, hydrologists, etc. often require a reasonably accurate knowledge of the availability of the solar resource for their relevant applications at their local. In solar applications, one of the most important Parameters needed is the long-term average daily global irradiation. For regions where no actual measured values are available, a common practice is to estimate average daily global solar radiation using appropriate empirical correlations based on the measured relevant data at those locations. These correlations estimate the values of global solar radiation for a region of interest from more readily available Meteorological, climatological, and geographical Parameters. The main objective of this study is to chronologically collect and review the extensive global solar radiation models available in the literature and to classify them into four categories, i.e., sunshine-based, cloud-based, temperature-based, and other Meteorological Parameter-based models, based on the employed Meteorological Parameters as model input. Furthermore, in order to evaluate the accuracy and applicability of the models reported in this paper for computing the monthly average daily global solar radiation on a horizontal surface, the geographical and Meteorological data of Yazd city, Iran was used. The developed models were then evaluated and compared on the basis of statistical error indices and the most accurate model was chosen in each category. Results revealed that all the proposed correlations have a good estimation of the monthly average daily global solar radiation on a horizontal surface in Yazd city, however, the El-Metwally sunshine-based model predicts the monthly averaged global solar radiation with a higher accuracy.
Tszcheung Lee - One of the best experts on this subject based on the ideXlab platform.
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outdoor thermal sensation and logistic regression analysis of comfort range of Meteorological Parameters in hong kong
Building and Environment, 2019Co-Authors: Yongxin Xie, Jianlin Liu, Taiyang Huang, Jianlei Niu, Cheuk Ming Mak, Tszcheung LeeAbstract:Abstract Warm and hot days account for most of the time in Hong Kong. Outdoor thermal comfort studies in Hong Kong should give its first consideration to warm and hot days. This study presents investigations about thermal comfort through 1600 human subject responses from the onsite survey with concurrent Meteorological Parameter measurements. Probit analysis was used for searching the thermal neutral range of Hong Kong residents in a year span. Logistic regression was used for locating the Meteorological Parameter ranges for thermal neutral and comfort conditions. It is shown that people had difficulties defining their actual thermal feelings near the thermal neutral status when being asked to use the nine-point thermal sensation scale. Obvious thermal adaptation effect for thermal neutral conditions were observed among Hong Kong residents over the seasons in a year. The transitional seasons had a wider thermal neutral range than that of winter and summer. Summer had the narrowest thermal neutral range. Wind and solar radiation had an interaction effect with air temperature in determining thermal sensation and thermal comfort. Wind can effectively offset the negative effect of solar radiation in summer when the air temperature was lower than 31 °C. The thermal comfort condition allowed a higher limit of solar radiation than the thermal neutral condition when the air temperature was lower than 31 °C. The investigations in this study provide some unique insights into the way to assess urban thermal comfort in the building design stage.