Abstract
Electricity is a secondary energy source and one of the main drivers for economic development of a nation. Long-term planning for electricity demand is essential for strategic expansion of supply options which would require significant investment in terms of human resources and capital. This paper is focused on the past trends in annual grid-electricity demand for Fiji, from which forecast is done using statistically significant linear regression models. The regression models reveal that domestic grid-electricity demand variance is explained by population, GDP and electricity price. However, for non-domestic demand, the variance is explained by changes in population and GDP with electricity tariffs playing a small role. The absolute deviation of forecasts for total demand from 5 different regression models ranges from 1.2 to 32%. For domestic demand it ranges from 3.0 to 5.0% while non-domestic deviation ranges from 1.7 to 19%. Analytic hierarchy process was employed to choose the best model for demand forecast which then led the discussion on future supply options for grid-electricity expansion in Fiji. Biomass power plants, hydro and GCPV are seen to be the most promising supply.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.