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        Modeling of potential renewable energy in Papua New Guinea: Biomass and solar energy

        Glenda Yatu,Sailesh Samanta 대한공간정보학회 2022 Spatial Information Research Vol.30 No.3

        Papua New Guinea is a unique country with diverse resources and renewable energy resources are no exception. Solar and biomass resources have been presented in this article because of their huge availability in Papua New Guinea. With the engagement of remote sensing and geographic information system technology, potentially suitable areas were identified and mapped for biomass and the availability of solar radiation. Multi-criteria evaluation (MCE) approaches was used to identify the suitable areas for effective growth of Eucalyptus pellita for biomass-based on different input parameters, namely altitude, slope, soil pH, soil fertility, soil texture, soil drainage, total annual rainfall and annual mean temperature. Modeling of incoming solar insolation was performed to generate daily and monthly solar radiation databases. The major input parameters for the solar radiation modeling were high-resolution topographic data, solar constant and atmospheric clearness index. The demarcation of potential biomass potential areas was identified through suitability ranking and weighing of the selected parameters using the spatial analyst weighted sum tool in ArcGIS. The findings on the final biomass suitability map show land characteristics that favour the growth of Eucalyptus pellita to be on weakly acid to neutral well-drained soils. The daily highest total incoming solar radiation was calculated for December solstice (6.12 Kw/m2/day) and the highest average monthly for September (6.29 Kw/m2/day). This type of resulting output would contribute to helping eliminate energy problems and achieve PNG’s visions and strategic plans for current and future sustainable development.

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