Issue |
E3S Web Conf.
Volume 270, 2021
International scientific forum on computer and energy Sciences (WFCES 2021)
|
|
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Article Number | 01022 | |
Number of page(s) | 19 | |
DOI | https://doi.org/10.1051/e3sconf/202127001022 | |
Published online | 09 June 2021 |
Selection of optimal places for constructions of renewable energy stations in Myanmar using analytic hierarchy process (AHP) method
National Research University “Moscow Power Engineering Institute”, Moscow, Russia.
The article discusses the formulation of the problem of choosing the optimal places for building renewable energy stations in Myanmar using the analytical hierarchical process (AHP) method. Today Myanmar is a developing country in Southeast Asia. Myanmar possesses a variety of energy resources, including renewable and non-renewable energy sources. Humans have especially used, and are now using, fossil fuels. After 2010, Myanmar began to focus heavily on renewable energy sources (RES). The Ministry of Electricity and Energy (MOEE) is the responsible ministry for the energy sector in Myanmar. MOEE is also responsible for the production, production and transportation of oil and gas. Myanmar has long been isolated from international markets, and funding sources have historically limited development and therefore pressure on its environment. Many of its resources remain relatively intact despite the lack of effective environmental regulations. However, as the country integrates into the world economy and its economic development are accelerating, resource degradation is growing rapidly. Deforestation of closed forests in recent years has been the fastest growing among large Southeast Asian countries, most of which are driven by plantation concessions and other large-scale projects. In order to reduce the use of fossil fuels and increase the use of renewable energy sources in Myanmar, it is necessary to investigate where and which RES are optimal depending on all situations.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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