Modeling least cost electricity system scenarios for Bangladesh using OSeMOSYS

Sammanfattning: In order to achieve sustainable development, countries like Bangladesh need to develop their electricity systems to guarantee their citizens access to modern energy services and achieve economic development, while not compromising the global climate. The purpose of this study is to examine what mix of technologies leads to the least costs for the electricity system under different scenario assumptions. This is done by creating a model of the electricity system, using the linear optimization tool OSeMOSYS. The results show a prominence of ultra-supercritical coal power as the lowest cost option for baseload generation in the business as usual and most other scenarios. Unlike in previous studies, solar power is economically competitive in every single scenario, and only limited by the amount of land available for new capacity additions. However, by following a cost minimization strategy, without emissions restrictions or high carbon prices, the CO2 emissions of the Bangladeshi electricity sector will increase significantly through the end of the model period in 2045.