2021
DOI: 10.3390/su13010385
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Sustainability Assessment of Electricity Generation in Niger Using a Weighted Multi-Criteria Decision Approach

Abstract: The majority of Niger’s population faces a widespread lack of access to electricity. Although the country lies in the Sahara belt, exploitation of solar energy is so far minimal. Due to ongoing fossil fuel exploration in the country, this fuel might dominate the future electricity supply. Today, Niger imports the most of its electricity from Nigeria. There is a need to expand electricity generation and supply infrastructures in Niger. When doing so, it is important to choose a proper set of electricity generat… Show more

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Cited by 30 publications
(18 citation statements)
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“…The situation in rural areas is worse [39]. Currently, more than half of Niger's electricity supply is imported from Nigeria [40]. Even in areas with access to electricity, including the capital city Niamey, the supply is not reliable.…”
Section: Niger-country Profilementioning
confidence: 99%
“…The situation in rural areas is worse [39]. Currently, more than half of Niger's electricity supply is imported from Nigeria [40]. Even in areas with access to electricity, including the capital city Niamey, the supply is not reliable.…”
Section: Niger-country Profilementioning
confidence: 99%
“…The environmental criterion considers environmental impacts of a power plant on the environment and people and contains the sub-criteria CO 2 emission, land requirement and waste management. The technical Ranking of energy sources for sustainable electricity generation in Indonesia: A participatory multi-criteria analysis Waste management [29,49,54,57,59] Ecological impact [49,51,53] Particles emission [60][61][62] Technical Electric efficiency [38,39,50,53,54,63,64] Capacity factor [49,50,52,53,63] Technology maturity [39,40,53,64] Industry readiness [29,49,53,54] Flexibility [49,50,52] Economic Investment cost [29,39,49,51,53,54,63] O&M costs [39,49,51,53,63,…”
Section: Defining Criteria Sub-criteria and Alternativesmentioning
confidence: 99%
“…The evaluation relies on weighting side-by-side comparisons of sub-criteria (the triangular fuzzy numbers side-by-side comparison matrix) for the technologies considered. This widely used multi-attribute decision making method was selected due to its versatility [119] for solving complex problems in various areas [120] while providing various sustainability assessment (scenarios) "adjusted to authors' expected results" [121]. With respect to the energy sector, Shaban et al [27] used multi-criteria decision methods to select the most valuable energy technologies from among various energy sources.…”
Section: Evaluation Of Energy Technology By Assigning Weightsmentioning
confidence: 99%
“…With respect to the energy sector, Shaban et al [27] used multi-criteria decision methods to select the most valuable energy technologies from among various energy sources. A multi-criteria decision approach using six criteria (availability, risk, technology, economics, environment and social) was chosen to evaluate the energy system [121]. Ulewicz et al [122] considered the criteria of renewable energy source choice using a combination of the fuzzy analytic hierarchy process (fuzzy AHP) and the technique for preference by similarity to an ideal solution (TOPSIS).…”
Section: Evaluation Of Energy Technology By Assigning Weightsmentioning
confidence: 99%