| Title |
Modelling least cost electricity system scenarios for Bangladesh using OSeMOSYS |
| ID_Doc |
75143 |
| Authors |
Olsson, JM; Gardumi, F |
| Title |
Modelling least cost electricity system scenarios for Bangladesh using OSeMOSYS |
| Year |
2021 |
| Published |
|
| DOI |
10.1016/j.esr.2021.100705 |
| Abstract |
In order to achieve sustainable development, Bangladesh needs to develop its electricity systems to guarantee its citizens access to modern energy services and achieve economic development, while not compromising the global climate. This study aims 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 of Bangladesh, using the linear optimisation 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 minimisation strategy, without emissions restrictions or high carbon prices, the CO2 emissions of the Bangladeshi electricity sector may increase significantly by the end of the model period in 2045. |
| Author Keywords |
Electricity system model; OSeMOSYS; Scenario analysis; Open access; Bangladesh |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000741382900004 |
| WoS Category |
Energy & Fuels |
| Research Area |
Energy & Fuels |
| PDF |
https://doi.org/10.1016/j.esr.2021.100705
|