Abstract
Over the past few decades, Vietnam has been one of the fastest growing economies in Asia, experiencing a GDP growth rate of more than 6% per year. The energy industry plays an important role in Vietnam’s continuous development, so access to reliable and low-cost energy sources will be an important factor for sustainable economic growth. Achieving the goal of reducing global greenhouse gas emissions, as set out in the Paris agreement on climate change, will depend heavily on the development roadmap of emerging economies, such as Vietnam. Currently, developing hydroelectric plants is Vietnam’s optimal choice in order to meet its target of renewable energy development. Hydroelectricity in Vietnam is favorable thanks to the high average annual rainfall, about 1800–2000 mm, and the dense river system, with more than 3450 systems. In addition to providing electricity, hydropower plants are also responsible for cutting and fighting floods for downstream areas in the rainy season, at the same time providing water for production and people’s daily needs in the dry season. This work proposes the application of a multicriteria decision-making (MCDM) model to select the best option for the installation of river hydroelectric plants in Vietnam. The use of MCDM techniques in environmental decision-making, including selecting between various alternatives, is important when this involves complex decisions in several disciplinary fields. The most widely used of these techniques are the fuzzy analytical network process (FANP) and the technique for order of preference by similarity to ideal solution (TOPSIS). As a result, Nghe An (LOC05) is found to be the optimal solution for selecting river portions where hydroelectric plants are viable in Vietnam.
Highlights
Since the start of the 21st century, the global economy’s constant expansion has driven world energy demand to record levels
The aim of this paper is to propose a hybrid multicriteria decision-making (MCDM) model for hydroelectric location evaluation and selection in Vietnam
The part of this paper presents literature reviews to support the building of the MCDM model, methods of determining the parameters of the fuzzy analytical network process (FANP) model, and the TOPSIS model
Summary
Since the start of the 21st century, the global economy’s constant expansion has driven world energy demand to record levels. While thermal energy from fossil fuels provides the world with most of its need—nearly 79.68% [1]—the lack of long-term sustainability and finite nature of these sources encourages the search for more sustainable and renewable energy sources. 13, 2783 x FOR PEER REVIEW encourages the search for more sustainable and renewable energy sources. Among many forms of of renewable energy, hydroelectric power proventechnology, technology,representing representing15.90%. 15.90% of of all all energy renewable energy, hydroelectric power is isa aproven energy generated [2]. While hydroelectric power is renewable, it is not without flaws.
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