Abstract
This study deals with the solar radiation estimation for different cities of Pakistan on horizontal and tilted surfaces using different sky models. As the acquiring of solar data is challenging job in terms of cost, maintenance, and safety of equipment, this study will help in close estimation of solar radiation, optimization of area sizing, maximum output, reduction in cost, making the project feasible for the area on interest and can extend the determination of those values to the outskirts and adjoining areas of respective cities.
Major beneficiaries would be the solar PV system and solar water heater industries for power generation. These models would help in identifying potential areas (near the town or area grid) where the solar farms can be installed for power generation. This study will be carried out by collecting data of solar radiations for horizontal and tilted surfaces and peak sunshine hour duration of different cities of Pakistan along with their latitude and altitude values. Here we will devise the relationships between Angstrom – Prescott coefficients based on altitude, and latitude of a city which will further utilized to calculate the solar radiation of that city and its adjoining areas. Estimate the monthly average daily global solar radiation on tilted surface by using different sky models and carryout statistical test to compare each model with satellite data and evaluate the best fit sky models for tilted surface. Calculated values of most of the cities are in close agreement with the satellite values with some variation that has been observed in the months of July and August due to monsoon period because of which sunshine hours and global radiation are affected by the clouds and precipitation. Secondly Isotropic and An-isotropic sky models are applied to these cities and comparisons were made with the satellite values of total incident solar radiation on tilted surface where tilt angle is the same as that of the latitude of the city and found that the Badescu model best fit for all cities that are under consideration during the study.