2015
DOI: 10.4236/sgre.2015.65012
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Estimation of Solar Energy Potential from Rooftop of Punjab Government Servants Cooperative Housing Society Lahore Using GIS

Abstract: Pakistan has a severe electricity load shading problem. Government is trying to find out all ways for electricity generation. Alternative energy board is working to find out the energy potential using all alternative resources. Board has an objective to produce 9700 MW by 2030 to overcome load shading problem. A research was designed to find out the solar energy potential as an alternative source of energy from rooftops of residential areas in district Lahore. Punjab Governments servants housing society Lahore… Show more

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Cited by 30 publications
(14 citation statements)
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“…The annual effective solar irradiance varies from 60 to 250 W m 2 worldwide [19]. Currently, new technologies are being employed to generate electricity from harvested solar energy [20].…”
Section: Photovoltaic Techniquesmentioning
confidence: 99%
“…The annual effective solar irradiance varies from 60 to 250 W m 2 worldwide [19]. Currently, new technologies are being employed to generate electricity from harvested solar energy [20].…”
Section: Photovoltaic Techniquesmentioning
confidence: 99%
“…Photovoltaic devices are rugged and simple in design and require very little maintenance, constructed as stand-alone systems to give outputs from microwatts to megawatts and have been used as the power sources for calculators, watches, water pumping, remote buildings, communications, satellites and space vehicles, and even multimegawatt scale power plants. With such a vast array of applications, the demand for photovoltaics is increasing every year [17].…”
Section: Dependability Engineeringmentioning
confidence: 99%
“…The rooftop Solar Energy Potential of Lahore City, Pakistan was estimated using GIS technique. The high-resolution Imagery was used to digitize the rooftops [5]. The rooftop solar potential map of Caceres, Spain was estimated by the implementation of Light Detection and Ranging (LIDAR) data of high density [6].…”
Section: Introductionmentioning
confidence: 99%