Solar photovoltaic (PV) technology now become a new
trend for the home builders and buyers of the twentieth century,
in order to have not only good in structure, but also more
environmentally friendly. Understanding the rooftop PV
potential is important for planning, accommodate grid capacity
,and many more, this paper demonstrate the technique utilizing
the LiDAR data merge with the Geographical Information
System to determine the suitable location to locate the PV solar
panels. There are five criteria that had been used to select the
best location which is generate the ground mask, aspect mask,
slope mask, human mask and high radiation layer. Based on the
output of the suitable location, the estimating number of solar
panel can be generate based on the calculation of one-and half
square area meter was used as a required area for each solar
panel. This new understanding of roof area distribution and
potential PV outputs will guide energy policy formulation in
Georgetown area and will inform future research in solar PV
deployment and its geographical potential
Solar photovoltaic (PV) technology now become a newtrend for the home builders and buyers of the twentieth century,in order to have not only good in structure, but also moreenvironmentally friendly. Understanding the rooftop PVpotential is important for planning, accommodate grid capacity,and many more, this paper demonstrate the technique utilizingthe LiDAR data merge with the Geographical InformationSystem to determine the suitable location to locate the PV solarpanels. There are five criteria that had been used to select thebest location which is generate the ground mask, aspect mask,slope mask, human mask and high radiation layer. Based on theoutput of the suitable location, the estimating number of solarpanel can be generate based on the calculation of one-and halfsquare area meter was used as a required area for each solarpanel. This new understanding of roof area distribution andpotential PV outputs will guide energy policy formulation inGeorgetown area and will inform future research in solar PVdeployment and its geographical potential
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Solar photovoltaic (PV) Technology now Become a New
Trend for the Home Builders and buyers of the Twentieth Century,
in Order to have not only good in structure, but also more
ENVIRONMENTALLY Friendly. Understanding the rooftop PV
potential is important for planning, accommodate Grid capacity
, and MANY more, this Paper demonstrate the Technique utilizing
the LiDAR Data merge with the Geographical Information
System to Determine the Suitable Location to Locate the Solar PV
panels. Five there are criteria that had been used to select the
best Location which is the Ground Generate Mask, Mask Aspect,
Slope Mask, Human and High Radiation Mask layer. Based on the
output of the Suitable Location, Number of estimating the Solar
Panel Can Generate be based on the calculation of one-and Half
Area square meter was used as a required for each Area Solar
Panel. New Roof Area Distribution and understanding of this
potential PV outputs Will Guide Energy Policy formulation in
Georgetown Area Will inform and Future Research in Solar PV
ITS deployment and geographical potential.
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Solar photovoltaic (PV) technology now become a new.Trend for the home builders and buyers of the, Twentieth CenturyIn order to have not only good in structure but also, more.Environmentally friendly. Understanding the rooftop PV.Potential is important for planning accommodate grid, capacity.And more this, many, paper demonstrate the technique utilizing.The LiDAR data merge with the Geographical Information.System to determine the suitable location to locate the PV solar.Panels. There are five criteria that had been used to select the.Best location which is generate the ground mask aspect mask,,Slope mask human mask, and high radiation layer. Based on the.Output of the suitable location the estimating, number of solar.Panel can be generate based on the calculation of one-and half.Square area meter was used as a required area for each solar.Panel. This new understanding of roof area distribution and.Potential PV outputs will guide energy policy formulation in.Georgetown area and will inform future research in solar PV.Deployment and its geographical potential.
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