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

被引:54
作者
Alao, Moshood Akanni [1 ,2 ]
Popoola, Olawale M. [1 ,2 ]
Ayodele, Temitope Rapheal [3 ]
机构
[1] Univ Technol, Dept Elect Engn, Pretoria, South Africa
[2] Univ Technol, Ctr Energy & Elect Power, Pretoria, South Africa
[3] Univ Ibadan, Fac Technol, Dept Elect & Elect Engn, Power Energy Machines & Drives Res Grp, Ibadan, Nigeria
关键词
Waste-to-Energy; Entropy; Criteria impact loss; Anaerobic digestion; Gasification; MUNICIPAL SOLID-WASTE; DECISION-MAKING METHOD; LIFE-CYCLE ASSESSMENT; ELECTRICITY-GENERATION; MECHANICAL DESIGN; MANAGEMENT; RECOVERY; OPTIONS; GAS; NORMALIZATION;
D O I
10.1016/j.renene.2021.06.031
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (c) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:162 / 183
页数:22
相关论文
共 94 条
  • [71] From informality to formality: Perspectives on the challenges of integrating solid waste management into the urban development and planning policy in Johannesburg, South Africa
    Simatele, Danny Mulala
    Dlamini, Smangele
    Kubanza, Nzalalemba Serge
    [J]. HABITAT INTERNATIONAL, 2017, 63 : 122 - 130
  • [72] Simsit, 2015, J CLEAN PROD, P2
  • [73] A consensus based group decision making methodology for strategic selection problems of supply chain coordination
    Singh, R. K.
    Benyoucef, Lyes
    [J]. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2013, 26 (01) : 122 - 134
  • [74] Stafford WHL, 2020, MUNICIPAL SOLID WASTE ENERGY CONVERSION IN DEVELOPING COUNTRIES: TECHNOLOGIES, BEST PRACTICES, CHALLENGES AND POLICY, P185, DOI 10.1016/B978-0-12-813419-1.00006-1
  • [75] Surjosatyo A, 2018, E3S WEB C, V67, P1
  • [76] TAN ST, 2013, INT J ENV CHEM ECOL, V7, P372
  • [77] Evaluation of quality assurance in contractor contracts by multi-attribute decision-making methods
    Trinkuniene, Eva
    Podvezko, Valentinas
    Zavadskas, Edmundas Kazimieras
    Joksiene, Izolda
    Vinogradova, Irina
    Trinkunas, Vaidotas
    [J]. ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA, 2017, 30 (01): : 1152 - 1180
  • [78] Tsydenova N, 2018, RECYCLING-BASEL, V3, DOI [10.3390/recycling3030045, 10.3390/recyding3030045]
  • [79] Tzeng GH, 2011, MULTIPLE ATTRIBUTE DECISION MAKING: METHODS AND APPLICATIONS, P1
  • [80] U. EPA, 2006, LANDFILL GAS EMISSIO