Literature DB >> 26496882

Development of a decision model for the techno-economic assessment of municipal solid waste utilization pathways.

Md Mohib-Ul-Haque Khan1, Siddharth Jain1, Mahdi Vaezi1, Amit Kumar2.   

Abstract

Economic competitiveness is one of the key factors in making decisions towards the development of waste conversion facilities and devising a sustainable waste management strategy. The goal of this study is to develop a framework, as well as to develop and demonstrate a comprehensive techno-economic model to help county and municipal decision makers in establishing waste conversion facilities. The user-friendly data-intensive model, called the FUNdamental ENgineering PrinciplEs-based ModeL for Estimation of Cost of Energy and Fuels from MSW (FUNNEL-Cost-MSW), compares nine different waste management scenarios, including landfilling and composting, in terms of economic parameters such as gate fees and return on investment. In addition, a geographic information system (GIS) model was developed to determine suitable locations for waste conversion facilities and landfill sites based on integration of environmental, social, and economic factors. Finally, a case study on Parkland County and its surrounding counties in the province of Alberta, Canada, was conducted and a sensitivity analysis was performed to assess the influence of the key technical and economic parameters on the calculated results.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Keywords:  GIS; Landfilling; Sensitivity analysis; WTE; Waste conversion

Mesh:

Substances:

Year:  2015        PMID: 26496882     DOI: 10.1016/j.wasman.2015.10.016

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  1 in total

1.  Techno-Economic Assessment of Whey Protein-Based Plastic Production from a Co-Polymerization Process.

Authors:  Bushra Chalermthai; Muhammad Tahir Ashraf; Juan-Rodrigo Bastidas-Oyanedel; Bradley D Olsen; Jens Ejbye Schmidt; Hanifa Taher
Journal:  Polymers (Basel)       Date:  2020-04-07       Impact factor: 4.329

  1 in total

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