Abstract
A multi-period power optimization model for the UAE's electricity sector is presented. The model aims to minimize the cumulative costs and CO2 emission of the UAE's power sector during the planning horizon. The optimization problem was formulated as a multi-period MILP model in the GAMS modelling system. Previous studies have analyzed the UAE power infrastructure using standard simulation software such as MARKAL and MESSAGE. The present work's novelty consists of determining the optimal evolution of the power generation infrastructure during different time periods under operational and environmental constraints. The optimization model was used to study the UAE's power system for the time periods comprised between the years 2015 and 2040. The simulation results show that the mathematical model is a valuable tool for planning the optimal evolution of the power plants’ fleet in the country, reduce levelized electricity costs and emissions, meet energy targets, and evaluate new power technologies.
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