LAPSE:2023.12981
Published Article
LAPSE:2023.12981
Multi-Criteria Selection of Waste-to-Energy Technologies for Slum/Informal Settlements Using the PROMETHEE Technique: A Case Study of the Greater Karu Urban Area in Nigeria
February 28, 2023
Abstract
Slum/informal settlements are an integral part of a city, with a population projected to reach 3 billion by 2030. It is also expected that the rate of waste generation will more than triple by 2050 in the cities of low-income countries of sub-Saharan Africa. At this rate, the risk to the environment and health of inhabitants are enormous, because the current waste management practices are not guided by legislation on proper use and disposal. This paper proposes the conversion of waste to energy as a solution to this problem. The aim of this study is to apply the PROMETHEE technique with a combination weighting method to obtain the most appropriate waste-to-energy technology for the slum/informal settlements of the Greater Karu Urban area in Nigeria. The findings reveal that the gasification technology outperformed the other technologies, and the affordability of electricity supply from this technology was determined by a general survey conducted on the slum/informal settlements.
Keywords
informal waste, MCDM, PROMETHEE, slum electrification, waste to energy
Suggested Citation
Ukpanyang D, Terrados-Cepeda J, Hermoso-Orzaez MJ. Multi-Criteria Selection of Waste-to-Energy Technologies for Slum/Informal Settlements Using the PROMETHEE Technique: A Case Study of the Greater Karu Urban Area in Nigeria. (2023). LAPSE:2023.12981
Author Affiliations
Ukpanyang D: Centre for Advanced Studies in Energy and Environment, Universidad de Jaen, 23071 Jaen, Spain
Terrados-Cepeda J: Centre for Advanced Studies in Energy and Environment, Universidad de Jaen, 23071 Jaen, Spain [ORCID]
Hermoso-Orzaez MJ: Centre for Advanced Studies in Energy and Environment, Universidad de Jaen, 23071 Jaen, Spain [ORCID]
Journal Name
Energies
Volume
15
Issue
10
First Page
3481
Year
2022
Publication Date
2022-05-10
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15103481, Publication Type: Journal Article
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LAPSE:2023.12981
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https://doi.org/10.3390/en15103481
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