A Study on Site Identification for Utility Scale Solar PV Energy Generation in Nepal
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IOE Pulchowk Campus
Abstract
Site selection for solar PV based energy generation is a complex decision making
process as several parameters like Irradiance, slope, electrical grid, distance to
road/river etc., need to be optimized. In this study, an assessment on site selection for
utility scale solar PV energy generation in Nepal was conducted based upon set decision
variables and constraints. GIS based MCDM methodology was employed in this study
to determine the weightage of identified criteria through Analytical Hierarchy Process
(AHP). The methodology was employed for the study as it may reduce the cost
associated with extensive site survey and hence widely used for policy formulation and
decision making. Spatial analysis was conducted to output site suitability map in a scale
of 1 to 5, 1 indicating areas with “Least Suitable” while 5 indicating areas “Most
Suitable” to PV plant construction. The study identified parcels of land coverage of
about 22.46 percent which was “Most Suitable” for construction of Solar PV plant if
restriction criteria is not considered and 10.80 percent of land as “Most Suitable” for
construction of PV plant if restriction criteria is taken into consideration. Likewise, an
optimum number of 1,376 identified sites with area coverage of 51.235 sq. km, with
solar insolation potential of 251.11 GWhr/day have been identified as potential site for
solar PV plant construction. Although the study is based on Nepalese data. it may be
proved equally valuable for academia and industry working under similar context.
Thus, a GIS based MCDM method can be beneficial tool for policy and decision
makers, academics to focus with research at greater precision on those area having
higher significance.
Description
Solar energy replacing conventional non-renewable energy is being widely
implemented around the world. Of the total new power generation capacity installed
worldwide, it was estimated that in 2018 about 34 % was derived from photovoltaic
electricity generation (Jäger-Waldau, 2019).
