Environmental and economic analyses of waste disposal options for traditional markets in Indonesia.
Waste from traditional markets in Indonesia is the second largest stream of municipal solid waste after household waste. It has a higher organic fraction and may have greater potential to be managed on a business scale compared to household wastes. The attributed reason is that in general the wastes generated from traditional markets are more uniform, more concentrated and less hazardous than waste from other sources. This paper presents the results of environmental and economic assessments to compare the options available for traditional market waste disposal in Indonesia. The options compared were composting in labour intensive plants, composting in a centralised plant that utilised a simple wheel loader, centralised biogas production and landfill for electricity production. The current open dumping practice was included as the baseline case. A life cycle assessment (LCA) was used for environmental analysis. All options compared have lower environmental impacts than the current practice of open dumping. The biogas production option has the lowest environmental impacts. A cost-benefit analysis, which considered greenhouse gas savings, was used for the economic assessment. It was found that composting at a centralised plant is the most economically feasible option under the present Indonesian conditions. The approach reported in this study could be applied for 'a pre-feasibility first cut comparison' that includes environmental aspects in a decision-making framework for developing countries even though European emission factors were used.
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International Technologies Centre, Department of Civil and Environmental Engineering, The University of Melbourne, Vic. 3010, Australia. lua@unimelb.edu.au <lua@unimelb.edu.au>
Widjaya
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D003132:Commerce; D003365:Costs and Cost Analysis; D004777:Environment; D017752:Greenhouse Effect; D007214:Indonesia; D008962:Models, Theoretical; D012037:Refuse Disposal / Q000191:economics* / Q000379:methods*; D012680:Sensitivity and Specificity