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Myanmar's energy poverty has significantly hindered the economic and human development in the country. 66% of total population lives in rural areas, but Myanmar's national grid is concentrated in urban low-l. Energy is a prerequisite for realizing a country's economic development. In the rural context,. While Myanmar's electrification rate is at the lowest level (31%) in the Southeast Asia region (ADB, 2013) ), its national grid is highly concentrated in low-land urban areas. Acc. 3.1. Comparing energy system configurations using HOMERLooking for an optimal rural electrification model, this study designs a virtual electrification proj. 4.1. ResultsThe simulation suggests that 23 system configurations are feasible, both economically and technically in generating the required amo. Myanmar's current utility rate is 0.0318 $/kWh which is far below that of its neighboring countries. Low energy price has served as a main factor to deteriorating the energy efficie.
[PDF Version]As per the REN scenario, the total cost of expanding Myanmar's power system is expected to be USD 27.5 billion. Thus, the LEAP-NEMO model for Myanmar predicts that transitioning from the current regime to a sustainable path will save USD 1 billion.
As a result, Myanmar's electricity consumption rises from 0.4 MWh per capita in 2019 to 2.03 MWh per capita in 2050, 5 putting it above the energy poverty line by 2045. Nonetheless, at that point, it continues to have the lowest per capita electricity consumption of the three countries analyzed in this article.
The total electricity consumption in 2050 is projected to be 126 TWh, which is six times the current total consumption (Fig. 14). As a result, Myanmar's electricity consumption rises from 0.4 MWh per capita in 2019 to 2.03 MWh per capita in 2050, 5 putting it above the energy poverty line by 2045.
NEMO enables the inclusion of energy storage capacity in the long-term simulation of power system capacity expansion. Storage is crucial for balancing intermittent renewable energy especially when high penetration of renewable energy is considered. The analysis is applied to three countries in the Global South: Cambodia, Laos, and Myanmar.
As such, the path to a 100% renewable power system entails deploying non-hydro renewables while also maximizing the country's hydro potential and avoiding new fossil fuel development. Third, GHG emissions from power generation in Cambodia, Laos, and Myanmar can be zero by 2050.
Thus, the LEAP-NEMO model for Myanmar predicts that transitioning from the current regime to a sustainable path will save USD 1 billion. This is due to the REF scenario's reliance on natural gas and coal, both of which involve high fuel costs. The REN scenario, on the other hand, is based on renewables, which do not involve fuel costs. Fig. 19.
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