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Basharat Jamil

Bio: Basharat Jamil is an academic researcher from Aligarh Muslim University. The author has contributed to research in topics: Sunshine duration & Meteorology. The author has an hindex of 15, co-authored 33 publications receiving 631 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, the availability of solar radiation for south-facing flat surfaces in Humid Subtropical Climatic Region of India has been estimated for over a period of three years.

106 citations

Journal ArticleDOI
TL;DR: In this article, global solar radiation is estimated based on sunshine duration, which has been collected from the Indian Meteorological Department (Pune, India) for the period 1986-2000 25 model forms were selected from the literature which correlates the clearness index with sunshine duration The coefficients of models are extracted from the data k-fold cross-validation is then employed to improve the performance of the models Data is split into k-groups with each group containing the same amount of data (k-1) groups are utilized for the development of models and the rest one group is utilized

58 citations

Journal ArticleDOI
TL;DR: In this paper, the performance comparison of the models to estimate monthly mean diffuse solar radiation on a horizontal surface for Humid-Subtropical Climatic Region of India was demonstrated.
Abstract: This study demonstrates the performance comparison of the models to estimate monthly mean diffuse solar radiation on a horizontal surface for Humid-Subtropical Climatic Region of India. Meteorological data (global and diffuse solar radiation) were observed for the city of Aligarh (27.89°N, 78.08°E) at the Heat Transfer and Solar Energy Laboratory, Department of Mechanical Engineering, Aligarh Muslim University, Aligarh. The mean global, beam and diffuse solar radiation values for Aligarh were observed as 22.12 MJ/m2-day, 14.20 MJ/m2-day and 7.92 MJ/m2-day respectively. The mean values of sky-clearness index, diffuse fraction and diffusion coefficient were found to be 0.69, 0.37 and 0.25, respectively. The region exhibits abundant potential for solar energy utilization with favorable sky conditions. Diffuse solar radiation models with single input parameter (in the form of global solar radiation) were analyzed for suitability of estimation. 100 typical models were selected from the literature which correlated diffuse fraction (ratio of horizontal diffuse to global solar radiation) to sky-clearness index (ratio of global to extraterrestrial solar radiation). The objective here was to find the most precise model which is suitable to assess diffuse solar radiation in the region considered. Distinctive statistical evaluation of the models was performed in terms of well-known statistical indicators. Further, the scaled values of statistical indicators were used to calculate Global Performance Indicator (GPI). GPI of the selected models lied in the range of from −4.2987 to 2.6606 with the highest value representing the best performing model. Models were subsequently ranked in order of descending GPI. This study helps to recognize the significance of diffuse solar radiation models where the absence of required equipment as well as high cost of operation and maintenance represents a critical barrier for measurement. The outcomes of the present study are valuable for locations within the developing countries and remote areas with similar climatic conditions.

57 citations

Journal ArticleDOI
15 Jul 2017-Energy
TL;DR: In this article, measured data of solar radiation were utilized to develop sixteen empirical models for estimation of monthly mean diffuse solar radiation with single input predictor as clearness index, which can be used to evaluate diffuse solar radiations in the region considered.

57 citations

Journal ArticleDOI
TL;DR: In this article, the exergy of incoming solar radiation is estimated using empirical models using a Petela model and summed to obtain exergy in global solar radiation using clearness index and relative sunshine period.

56 citations


Cited by
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01 Jan 2016

1,633 citations

01 Dec 1976
TL;DR: A simple method of estimating the average daily radiation for each calendar month on surfaces facing directly towards the equator has been presented by Liu and Jordan as discussed by the authors, verified with experimental measurements and extended to allow calculation of monthly average radiation on surfaces of a wide range of orientations.
Abstract: Several simplified design procedures for solar energy systems require monthly average meteorological data. Monthly average daily totals of the solar radiation incident on a horizontal surface are available. However, radiation data on tilted surfaces, required by the design procedures, are generally not available. A simple method of estimating the average daily radiation for each calendar month on surfaces facing directly towards the equator has been presented by Liu and Jordan [1]. This method is verified with experimental measurements and extended to allow calculation of monthly average radiation on surfaces of a wide range of orientations.

650 citations

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors proposed two machine learning algorithms, i.e., Support Vector Machine (SVM) and a novel simple tree-based ensemble method named Extreme Gradient Boosting (XGBoost), for accurate prediction of daily H using limited meteorological data.

345 citations

Journal ArticleDOI
01 Nov 2019-Energy
TL;DR: The principles of thermoelectricity are described and an explanation of current and upcoming materials are presented and developed models and various performed optimization of thermOElectric applications by using non-equilibrium thermodynamics and finite time thermodynamics are discussed.

293 citations