Environmental performance evaluation of large-scale municipal solid waste incinerators using data envelopment analysis

Chen, Ho‐Wen; Chang, Ni‐Bin; Chen, Jeng-Chung; Tsai, Shu-Ju

doi:10.1016/j.wasman.2010.02.002

Cited by 53 publications

(19 citation statements)

References 40 publications

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“…In general, waste generation prediction models and conventional analysis are estimated based on demographic and socioeconomic factors in a per-capita basis [9][10][11]. Adopting this approach, to identify MSW generation variables and related stakeholders' attitudes towards current situation of MSWM system, this study applies questionnaire surveys, interviews, and stakeholder analysis as principal methodologies for obtaining data.…”

Section: Introductionmentioning

confidence: 99%

Analysis of waste generation variables and people’s attitudes towards waste management system: a case of Bangkok, Thailand

Sukholthaman

Chanvarasuth

Sharp

2015

J Mater Cycles Waste Manag

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Having accurate data of municipal solid waste generation amount is an indispensable factor for effective planning of a waste management system. However, to have accurate estimation, significant waste generation factors have to be identified. In this study, Bangkok is selected as representative of urban cities in developing countries. The city has coped with consequences of a vast amount of waste generation and ineffective waste management system for years. The study aims to examine influential variables affecting generation amount and management problems in Bangkok based on people's attitudes. Questionnaire surveys and interviews are methods of acquiring primary data. To verify reliability of obtained data, statistical analyses are conducted using the methods of descriptive analysis, hypothesis test, and Pearson correlation. The study shows seven influential waste generation variables. In addition, to learn the exact situation of waste management system, interview results are qualitatively evaluated using stakeholder analysis and TOWS matrix. Stakeholders' points of concerns and suggested waste management solutions are identified for using in the formulation of waste management plan. The results of this study can facilitate a thorough evaluation as inputs of future research for sustainable waste management system.

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Section: Introductionmentioning

confidence: 99%

Analysis of waste generation variables and people’s attitudes towards waste management system: a case of Bangkok, Thailand

Sukholthaman

Chanvarasuth

Sharp

2015

J Mater Cycles Waste Manag

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“…Application of DEA technique has been demonstrated in 29 MSW incineration plants in Portugal (Simões et al 2010;Marques and Simões 2009). The environmental performance of large MSW incineration plants has been proposed by Chen et al (2010). Using power capacity, operation cost, operation time and power consumption as inputs and a plethora of undesirable outputs-such as hazardous emissions, municipal waste suspended, bottom ash, and opacity, environmental efficiency of MSW incineration plants was derived.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Prior studies on performance analysis of incineration plants using DEA emphasize on improving less performing units. The study by Chen et al (2010) propose a DEA-based model for incineration plants' performance measurement using waste consumption and energy production as outputs, and come out with suggestions on improving inefficient units' performance. Marques and Simões (2009) compare efficiency of public and private solid waste management services and find no difference.…”

Section: Introductionmentioning

confidence: 99%

Measuring incineration plants’ performance using combined data envelopment analysis, goal programming and mixed integer linear programming

Petridis

Dey

2018

Ann Oper Res

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Incineration plants produce heat and power from waste, reduce waste disposal to landfills, and discharge harmful emissions and bottom ash. The objective of the incineration plant is to maximize desirable outputs (heat and power) and minimize undesirable outputs (emissions and bottom ash). Therefore, studying the overall impact of incineration plants in a region so as to maximize the benefits and minimize the environmental impact is significant. Majority of prior works focus on plant specific decision making issues including performance analysis. This study proposes a hybrid data envelopment analysis (DEA), goal programming (GP) and mixed integer linear programming (MILP) model to assess the performance of incineration plants, in a specific region, to enhance overall power production, consumption of waste and reduction of emissions. This model not only helps the plant operators to evaluate the effectiveness of incineration but also facilitates the policy makers to plan for overall waste management of the region through decision-making on adding and closing plants on the basis of their efficiency. Majority of prior studies on incineration plants emphasize on how to improve their performance on heat and power production and neglect the waste management aspects. Additionally, optimizing benefits and minimizing negative outputs through fixing targets in order to make decision on shutting down the suboptimal plants has not been modeled in prior research. This research combines both the aspects and addresses the overall performance enhancement of incineration plants within a region from both policy makers and plant operators' perspectives. The proposed combined DEA, GP and MILP model enables to optimize incineration plants performance within a region by deriving efficiency of each plant and identifying plants to close down on the basis of their performance. The B Prasanta Kumar Dey

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“…To start with, usually the construction of this kind of facilities is affected by the problem of social opposition. This phenomenon is also known in the literature as NIMBY syndrome, which stands for Not‐In‐My‐Back‐Yard (Wright, ; Chen et al ., ; Ferreira and Gallagher, ). In this sense, the creation of transparent and participate decision‐making processes is of fundamental importance.…”

Section: Applicationmentioning

confidence: 99%

Addressing the Location of Undesirable Facilities through the Dominance‐based Rough Set Approach

Abastante

Bottero

Greco

et al. 2013

Multi Criteria Decision Anal

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The location problems of the so-called undesirable facilities such as waste incinerators or landfills presents two main characteristics: (i) social opposition and (ii) a huge number of social, economic and environmental data that have to be taken into account. In this sense, the decision problem can be seen as an intrinsically complex problem because it involves different interconnected elements and must achieve objectives that are often in conflict.The work proposes the use of the theory of the dominance-based rough set approach (DRSA). The DRSA is a development of the rough sets philosophy which concerns the possibility of extending this theory to multiple criteria decision analysis by providing the model with preference-ordered aspects of the problem.This article presents an argument for the use of DRSA in decisions-aiding processes concerning urban and territorial projects. Mention has to be made to the fact that there are very few applications of DRSA to real case studies, and in particular, there is no application concerning the localization of undesirable facilities. Given the very delicate nature of the problem, where the contrasts are not only theoretical but also concrete, it is essential to 'test' the various methods of decision support before using them in real contexts. In this article, we argue that a simulation phase should reclaim responsibility for reliability and validity by implementing verification and self-correcting strategies during the development of the application itself.In particular, the paper presents an application to a real-world problem, concerning the choice of the location for a waste incinerator in the Province of Turin (Italy). In the application, different sites are analysed and compared through the use of the DRSA on the basis of different attributes, such as presence of population, hydrogeological risk, landscape value, interferences on transport infrastructures.

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Environmental performance evaluation of large-scale municipal solid waste incinerators using data envelopment analysis

Cited by 53 publications

References 40 publications

Analysis of waste generation variables and people’s attitudes towards waste management system: a case of Bangkok, Thailand

Analysis of waste generation variables and people’s attitudes towards waste management system: a case of Bangkok, Thailand

Measuring incineration plants’ performance using combined data envelopment analysis, goal programming and mixed integer linear programming

Addressing the Location of Undesirable Facilities through the Dominance‐based Rough Set Approach

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