Techno-economic feasibility of waste-to-energy technologies for investment in Ghana: A multicriteria assessment based on fuzzy TOPSIS approach

Afrane, Sandylove; Ampah, Jeffrey Dankwa; Jin, Chi; Liu, Haifeng; Aboagye, Emmanuel Mensah

doi:10.1016/j.jclepro.2021.128515

Cited by 64 publications

(24 citation statements)

References 80 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar to the studies from different countries/regions, as reviewed above, the use of MCDM for WtE technology selection has been studied for Ghana. To the best of our knowledge, only two studies—i.e., [ 32 , 43 ]—have attempted similar objectives to that of the current work. Agbejule et al [ 43 ] used the AHP method to prioritize four technologies (landfill biogas, incineration, anaerobic digestion, and aerobic composting) for investment in Ghana based on technical, environmental, economic, and social criteria.…”

Section: Literature Reviewmentioning

confidence: 96%

“…While most of these studies have considered the four common criteria (technical, economic, environmental, and social criteria) in the WtE technology selection process, others have focused on only one or two criteria. For instance, Milutinović et al [ 30 ] only considered environmental indicators, Fernández-González et al [ 31 ] focused on economic and environmental criteria, and Afrane et al [ 32 ] evaluated the techno-economic feasibility of WtE alternatives.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Subjective decisions are prone to ambiguity, vagueness, and bias, which makes the reliability of the sole use of the AHP method questionable to some extent. The second study is by Afrane et al [ 32 ], where the issue of expert subjectivity was addressed using a fuzzy approach by the TOPSIS method. However, their study only considered the techno-economic aspects of the WtE technologies.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Integrated AHP-TOPSIS under a Fuzzy Environment for the Selection of Waste-To-Energy Technologies in Ghana: A Performance Analysis and Socio-Enviro-Economic Feasibility Study

Afrane

Ampah

Agyekum

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

Energy recovery from waste presents a promising alternative for several countries, including Ghana, which has struggled with unsustainable waste treatment methods and an inadequate power supply for several decades. The current study adopts a comprehensive multi-criteria decision-making approach for the selection of an optimal waste-to-energy (WtE) technology for implementation in Ghana. Four WtE technologies are evaluated against twelve selection criteria. An integrated AHP-fuzzy TOPSIS method is applied to estimate the criteria’s weights and rank the WtE alternatives. From the AHP results, technical criteria obtained the highest priority weight, while social criteria emerged as the least important in the selection process. The overall ranking order of WtE technologies obtained by fuzzy TOPSIS is as follows: anaerobic digestion > gasification > pyrolysis > plasma gasification. The sensitivity analysis indicates highly consistent and sturdy results regarding the optimal selection. This study recommends adopting a hybrid system of anaerobic digestion and gasification technologies, as this offers a well-balanced system under all of the evaluation criteria compared to the standalone systems. The results of the current study may help the government of Ghana and other prospective investors select a suitable WtE technology, and could serve as an index system for future WtE research in Ghana.

show abstract

Section: Literature Reviewmentioning

confidence: 96%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Integrated AHP-TOPSIS under a Fuzzy Environment for the Selection of Waste-To-Energy Technologies in Ghana: A Performance Analysis and Socio-Enviro-Economic Feasibility Study

Afrane

Ampah

Agyekum

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…The authors suggested that the combination will overcome limitations of the entropy method. ( Afrane et al, 2021 ) performed a techno-economic analysis in order to inform decision-makers on the optimal waste-to-energy technology to be adopted in Ghana. The study utilized a fuzzy TOPSIS, which provides a range of weights instead of one number.…”

Section: Multi-criteria Decision Analysis Of Waste Systemsmentioning

confidence: 99%

Integrated TOPSIS-COV approach for selecting a sustainable PET waste management technology: A case study in Qatar

Al-Thani

Al‐Ansari

Haouari

2022

Heliyon

View full text Add to dashboard Cite

“…Triangular Fuzzy Numbers defined byAfrane et al (2021) andKumar and Barman (2021) are: Stage 1: With the decision matrix created, the fuzzy decision matrix must be constructed by transforming the abbreviations given to the criteria into their respective positive triangular fuzzy numbers. Stage 2: Normalize the Fuzzy Matrix so that the triangular fuzzy numbers belong to the interval [0,1].…”

mentioning

confidence: 99%

Treatment of the uncertainties in prioritization of information technology projects: A hybrid multicriteria approach

Pariz

Carvalho²,

Rebelo³

et al. 2022

Multi Criteria Decision Anal

View full text Add to dashboard Cite

Prioritizing information technology (IT) projects for resource direction is a complex decision‐making process that involves the analysis of qualitative and subjective criteria. The uncertainty of the subjective and imprecise assessments derived from estimated data that represent the analyzed criteria characterizes the decision‐making process. To reduce the uncertainties related to IT project priority setting, we proposed a model based on a hybrid multicriteria method composed by the best–worst method to establish the weights of the criteria and fuzzy‐TOPSIS to define the project ranking. The model allows us (1) to define strategic subcriteria, (2) adjust the weights according to the company's reality, (3) to deal with the uncertainties of the evaluations of the decision makers, and (4) provide the project ranking that translates reality into the distribution of resources in the IT sector. Finally, we applied the model to a case study in the IT sector of a Brazilian agroindustrial cooperative. For the managers, the method provides a precise decision aiding tool. Although the model has been applied to the prioritization of IT projects in a cooperative, the same can be generalized to the IT sectors of other companies.

show abstract

Techno-economic feasibility of waste-to-energy technologies for investment in Ghana: A multicriteria assessment based on fuzzy TOPSIS approach

Cited by 64 publications

References 80 publications

Integrated AHP-TOPSIS under a Fuzzy Environment for the Selection of Waste-To-Energy Technologies in Ghana: A Performance Analysis and Socio-Enviro-Economic Feasibility Study

Integrated AHP-TOPSIS under a Fuzzy Environment for the Selection of Waste-To-Energy Technologies in Ghana: A Performance Analysis and Socio-Enviro-Economic Feasibility Study

Integrated TOPSIS-COV approach for selecting a sustainable PET waste management technology: A case study in Qatar

Treatment of the uncertainties in prioritization of information technology projects: A hybrid multicriteria approach

Contact Info

Product

Resources

About