Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa

Waste-to-energy has evolved as a promising solution for sustainable power generation as well and waste management. To effectively harness the potential of the waste-to-energy technologies in a sustainable manner, an optimal choice among the diverse technologies is highly essential. The multi-dimensi...
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Autor*in:	Alao, Moshood Akanni [verfasserIn] Popoola, Olawale M. [verfasserIn] Ayodele, Temitope Rapheal [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Waste-to-Energy Entropy Criteria impact loss Anaerobic digestion Gasification

Übergeordnetes Werk:	Enthalten in: Renewable energy - Amsterdam [u.a.] : Elsevier Science, 1991, 178, Seite 162-183
Übergeordnetes Werk:	volume:178 ; pages:162-183

DOI / URN:	10.1016/j.renene.2021.06.031

Katalog-ID:	ELV006504167

Internformat


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allfields	10.1016/j.renene.2021.06.031 doi (DE-627)ELV006504167 (ELSEVIER)S0960-1481(21)00897-1 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Alao, Moshood Akanni verfasserin aut Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Waste-to-energy has evolved as a promising solution for sustainable power generation as well and waste management. To effectively harness the potential of the waste-to-energy technologies in a sustainable manner, an optimal choice among the diverse technologies is highly essential. The multi-dimensional nature of waste management makes selection of appropriate waste-to-energy option a complex problem. Therefore, a simple and computationally efficient decision tool is required to aid decision making. In this paper, a novel hybrid multi-criteria method based on IDOCRIW and TOPSIS are proposed for optimal selection of the appropriate waste-to-energy technologies for distributed generation. Fourteen criteria were considered spanning through technical, economic, environmental and social factors. Five technologies such as anaerobic digestion, landfill gas recovery, incineration, pyrolysis and gasification were selected due to their level of maturity and availability. The proposed model was tested using the City of Johannesburg, South Africa as a case study. The overall results indicated that anaerobic digestion is the most attractive technology with a relative closeness of 0.9724 to the ideal solution while incineration is ranked worst with a closeness of 0.6474 to the ideal solution. The result also revealed that the integration of anaerobic digestion and gasification could be more promising in terms of waste management. It could also be a good candidate for distributed generation in a microgrid application by serving as a local power generator when integrated to waste management systems of the City of Johannesburg. Waste-to-Energy Entropy Criteria impact loss Anaerobic digestion Gasification Popoola, Olawale M. verfasserin aut Ayodele, Temitope Rapheal verfasserin aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 178, Seite 162-183 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:178 pages:162-183 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 178 162-183
spelling	10.1016/j.renene.2021.06.031 doi (DE-627)ELV006504167 (ELSEVIER)S0960-1481(21)00897-1 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Alao, Moshood Akanni verfasserin aut Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Waste-to-energy has evolved as a promising solution for sustainable power generation as well and waste management. To effectively harness the potential of the waste-to-energy technologies in a sustainable manner, an optimal choice among the diverse technologies is highly essential. The multi-dimensional nature of waste management makes selection of appropriate waste-to-energy option a complex problem. Therefore, a simple and computationally efficient decision tool is required to aid decision making. In this paper, a novel hybrid multi-criteria method based on IDOCRIW and TOPSIS are proposed for optimal selection of the appropriate waste-to-energy technologies for distributed generation. Fourteen criteria were considered spanning through technical, economic, environmental and social factors. Five technologies such as anaerobic digestion, landfill gas recovery, incineration, pyrolysis and gasification were selected due to their level of maturity and availability. The proposed model was tested using the City of Johannesburg, South Africa as a case study. The overall results indicated that anaerobic digestion is the most attractive technology with a relative closeness of 0.9724 to the ideal solution while incineration is ranked worst with a closeness of 0.6474 to the ideal solution. The result also revealed that the integration of anaerobic digestion and gasification could be more promising in terms of waste management. It could also be a good candidate for distributed generation in a microgrid application by serving as a local power generator when integrated to waste management systems of the City of Johannesburg. Waste-to-Energy Entropy Criteria impact loss Anaerobic digestion Gasification Popoola, Olawale M. verfasserin aut Ayodele, Temitope Rapheal verfasserin aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 178, Seite 162-183 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:178 pages:162-183 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 178 162-183
allfields_unstemmed	10.1016/j.renene.2021.06.031 doi (DE-627)ELV006504167 (ELSEVIER)S0960-1481(21)00897-1 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Alao, Moshood Akanni verfasserin aut Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Waste-to-energy has evolved as a promising solution for sustainable power generation as well and waste management. To effectively harness the potential of the waste-to-energy technologies in a sustainable manner, an optimal choice among the diverse technologies is highly essential. The multi-dimensional nature of waste management makes selection of appropriate waste-to-energy option a complex problem. Therefore, a simple and computationally efficient decision tool is required to aid decision making. In this paper, a novel hybrid multi-criteria method based on IDOCRIW and TOPSIS are proposed for optimal selection of the appropriate waste-to-energy technologies for distributed generation. Fourteen criteria were considered spanning through technical, economic, environmental and social factors. Five technologies such as anaerobic digestion, landfill gas recovery, incineration, pyrolysis and gasification were selected due to their level of maturity and availability. The proposed model was tested using the City of Johannesburg, South Africa as a case study. The overall results indicated that anaerobic digestion is the most attractive technology with a relative closeness of 0.9724 to the ideal solution while incineration is ranked worst with a closeness of 0.6474 to the ideal solution. The result also revealed that the integration of anaerobic digestion and gasification could be more promising in terms of waste management. It could also be a good candidate for distributed generation in a microgrid application by serving as a local power generator when integrated to waste management systems of the City of Johannesburg. Waste-to-Energy Entropy Criteria impact loss Anaerobic digestion Gasification Popoola, Olawale M. verfasserin aut Ayodele, Temitope Rapheal verfasserin aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 178, Seite 162-183 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:178 pages:162-183 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 178 162-183
allfieldsGer	10.1016/j.renene.2021.06.031 doi (DE-627)ELV006504167 (ELSEVIER)S0960-1481(21)00897-1 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Alao, Moshood Akanni verfasserin aut Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Waste-to-energy has evolved as a promising solution for sustainable power generation as well and waste management. To effectively harness the potential of the waste-to-energy technologies in a sustainable manner, an optimal choice among the diverse technologies is highly essential. The multi-dimensional nature of waste management makes selection of appropriate waste-to-energy option a complex problem. Therefore, a simple and computationally efficient decision tool is required to aid decision making. In this paper, a novel hybrid multi-criteria method based on IDOCRIW and TOPSIS are proposed for optimal selection of the appropriate waste-to-energy technologies for distributed generation. Fourteen criteria were considered spanning through technical, economic, environmental and social factors. Five technologies such as anaerobic digestion, landfill gas recovery, incineration, pyrolysis and gasification were selected due to their level of maturity and availability. The proposed model was tested using the City of Johannesburg, South Africa as a case study. The overall results indicated that anaerobic digestion is the most attractive technology with a relative closeness of 0.9724 to the ideal solution while incineration is ranked worst with a closeness of 0.6474 to the ideal solution. The result also revealed that the integration of anaerobic digestion and gasification could be more promising in terms of waste management. It could also be a good candidate for distributed generation in a microgrid application by serving as a local power generator when integrated to waste management systems of the City of Johannesburg. Waste-to-Energy Entropy Criteria impact loss Anaerobic digestion Gasification Popoola, Olawale M. verfasserin aut Ayodele, Temitope Rapheal verfasserin aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 178, Seite 162-183 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:178 pages:162-183 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 178 162-183
allfieldsSound	10.1016/j.renene.2021.06.031 doi (DE-627)ELV006504167 (ELSEVIER)S0960-1481(21)00897-1 DE-627 ger DE-627 rda eng 530 620 DE-600 52.56 bkl Alao, Moshood Akanni verfasserin aut Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa 2021 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Waste-to-energy has evolved as a promising solution for sustainable power generation as well and waste management. To effectively harness the potential of the waste-to-energy technologies in a sustainable manner, an optimal choice among the diverse technologies is highly essential. The multi-dimensional nature of waste management makes selection of appropriate waste-to-energy option a complex problem. Therefore, a simple and computationally efficient decision tool is required to aid decision making. In this paper, a novel hybrid multi-criteria method based on IDOCRIW and TOPSIS are proposed for optimal selection of the appropriate waste-to-energy technologies for distributed generation. Fourteen criteria were considered spanning through technical, economic, environmental and social factors. Five technologies such as anaerobic digestion, landfill gas recovery, incineration, pyrolysis and gasification were selected due to their level of maturity and availability. The proposed model was tested using the City of Johannesburg, South Africa as a case study. The overall results indicated that anaerobic digestion is the most attractive technology with a relative closeness of 0.9724 to the ideal solution while incineration is ranked worst with a closeness of 0.6474 to the ideal solution. The result also revealed that the integration of anaerobic digestion and gasification could be more promising in terms of waste management. It could also be a good candidate for distributed generation in a microgrid application by serving as a local power generator when integrated to waste management systems of the City of Johannesburg. Waste-to-Energy Entropy Criteria impact loss Anaerobic digestion Gasification Popoola, Olawale M. verfasserin aut Ayodele, Temitope Rapheal verfasserin aut Enthalten in Renewable energy Amsterdam [u.a.] : Elsevier Science, 1991 178, Seite 162-183 Online-Ressource (DE-627)320412091 (DE-600)2001449-1 (DE-576)252613937 1879-0682 nnns volume:178 pages:162-183 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 52.56 Regenerative Energieformen alternative Energieformen AR 178 162-183
language	English
source	Enthalten in Renewable energy 178, Seite 162-183 volume:178 pages:162-183
sourceStr	Enthalten in Renewable energy 178, Seite 162-183 volume:178 pages:162-183
format_phy_str_mv	Article
bklname	Regenerative Energieformen alternative Energieformen
institution	findex.gbv.de
topic_facet	Waste-to-Energy Entropy Criteria impact loss Anaerobic digestion Gasification
dewey-raw	530
isfreeaccess_bool	false
container_title	Renewable energy
authorswithroles_txt_mv	Alao, Moshood Akanni @@aut@@ Popoola, Olawale M. @@aut@@ Ayodele, Temitope Rapheal @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	320412091
dewey-sort	3530
id	ELV006504167
language_de	englisch
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author	Alao, Moshood Akanni
spellingShingle	Alao, Moshood Akanni ddc 530 bkl 52.56 misc Waste-to-Energy misc Entropy misc Criteria impact loss misc Anaerobic digestion misc Gasification Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa
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topic_title	530 620 DE-600 52.56 bkl Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa Waste-to-Energy Entropy Criteria impact loss Anaerobic digestion Gasification
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title	Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa
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title_full	Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa
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title_sort	selection of waste-to-energy technology for distributed generation using idocriw-weighted topsis method: a case study of the city of johannesburg, south africa
title_auth	Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa
abstract	Waste-to-energy has evolved as a promising solution for sustainable power generation as well and waste management. To effectively harness the potential of the waste-to-energy technologies in a sustainable manner, an optimal choice among the diverse technologies is highly essential. The multi-dimensional nature of waste management makes selection of appropriate waste-to-energy option a complex problem. Therefore, a simple and computationally efficient decision tool is required to aid decision making. In this paper, a novel hybrid multi-criteria method based on IDOCRIW and TOPSIS are proposed for optimal selection of the appropriate waste-to-energy technologies for distributed generation. Fourteen criteria were considered spanning through technical, economic, environmental and social factors. Five technologies such as anaerobic digestion, landfill gas recovery, incineration, pyrolysis and gasification were selected due to their level of maturity and availability. The proposed model was tested using the City of Johannesburg, South Africa as a case study. The overall results indicated that anaerobic digestion is the most attractive technology with a relative closeness of 0.9724 to the ideal solution while incineration is ranked worst with a closeness of 0.6474 to the ideal solution. The result also revealed that the integration of anaerobic digestion and gasification could be more promising in terms of waste management. It could also be a good candidate for distributed generation in a microgrid application by serving as a local power generator when integrated to waste management systems of the City of Johannesburg.
abstractGer	Waste-to-energy has evolved as a promising solution for sustainable power generation as well and waste management. To effectively harness the potential of the waste-to-energy technologies in a sustainable manner, an optimal choice among the diverse technologies is highly essential. The multi-dimensional nature of waste management makes selection of appropriate waste-to-energy option a complex problem. Therefore, a simple and computationally efficient decision tool is required to aid decision making. In this paper, a novel hybrid multi-criteria method based on IDOCRIW and TOPSIS are proposed for optimal selection of the appropriate waste-to-energy technologies for distributed generation. Fourteen criteria were considered spanning through technical, economic, environmental and social factors. Five technologies such as anaerobic digestion, landfill gas recovery, incineration, pyrolysis and gasification were selected due to their level of maturity and availability. The proposed model was tested using the City of Johannesburg, South Africa as a case study. The overall results indicated that anaerobic digestion is the most attractive technology with a relative closeness of 0.9724 to the ideal solution while incineration is ranked worst with a closeness of 0.6474 to the ideal solution. The result also revealed that the integration of anaerobic digestion and gasification could be more promising in terms of waste management. It could also be a good candidate for distributed generation in a microgrid application by serving as a local power generator when integrated to waste management systems of the City of Johannesburg.
abstract_unstemmed	Waste-to-energy has evolved as a promising solution for sustainable power generation as well and waste management. To effectively harness the potential of the waste-to-energy technologies in a sustainable manner, an optimal choice among the diverse technologies is highly essential. The multi-dimensional nature of waste management makes selection of appropriate waste-to-energy option a complex problem. Therefore, a simple and computationally efficient decision tool is required to aid decision making. In this paper, a novel hybrid multi-criteria method based on IDOCRIW and TOPSIS are proposed for optimal selection of the appropriate waste-to-energy technologies for distributed generation. Fourteen criteria were considered spanning through technical, economic, environmental and social factors. Five technologies such as anaerobic digestion, landfill gas recovery, incineration, pyrolysis and gasification were selected due to their level of maturity and availability. The proposed model was tested using the City of Johannesburg, South Africa as a case study. The overall results indicated that anaerobic digestion is the most attractive technology with a relative closeness of 0.9724 to the ideal solution while incineration is ranked worst with a closeness of 0.6474 to the ideal solution. The result also revealed that the integration of anaerobic digestion and gasification could be more promising in terms of waste management. It could also be a good candidate for distributed generation in a microgrid application by serving as a local power generator when integrated to waste management systems of the City of Johannesburg.
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title_short	Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa
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Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa

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