Life-Cycle-based Solid Waste Management. II: Illustrative Applications

Solano, Eric; Dumas, Robert D.; Harrison, Kenneth W.; Ranjithan, S. Ranji; Barlaz, Morton A.; Brill, E. Downey

doi:10.1061/(asce)0733-9372(2002)128:10(993)

Cited by 69 publications

(23 citation statements)

References 5 publications

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“…For example, when waste generation rates are low over the planning horizon, under SA1, the landfill would be expanded with increments of [300. 8 t under q ϭ 0.01, 0.05, and 0.1, respectively. Generally, under all of waste-generation scenarios, the amount of landfill expansion under SA1 would be lower than that under SA2.…”

Section: Resultsmentioning

confidence: 99%

“…The total cost for facility expansion would increase with the capacity expanded; however, because of the fixed-charged cost function, the unit cost for facility expansion would be decreased with the amount of capacity expanded, which reflects the EOS effect on the expansion cost. For example, the unit cost for the landfill expansion in period 1 would be $[6.51, 8.05]/t when the landfill capacity expanded is 1 million t; in comparison, the unit cost for the landfill expansion in period 1 would be $[4.49, 5.63]/t when the capacity expanded is 2 million t.…”

Section: Modeling Formulationmentioning

confidence: 99%

“…Fiorucci et al 6 developed a decision support system (DSS) for solid waste management planning in the city of Genova, Italy. Solano et al 7,8 developed an integrated solid waste management (ISWM) model to assist in identifying desired solid waste management strategies that could satisfy cost, energy, and environmental emission objectives. Chang et al 9 utilized an integer programming method to support the decisions of location and capacity for a material recovery facility in the city of San Antonio, TX.…”

Section: Introductionmentioning

confidence: 99%

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Modeling Municipal Solid Waste Management System under Uncertainty

Huang

2010

Journal of the Air & Waste Management Association

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In this study, a dynamic inexact waste management (DIWM) model is developed for identifying optimal waste-flow-allocation and facility-capacity-expansion strategies under uncertainty and is based on an inexact scenario-based probabilistic programming (ISPP) approach. The DIWM model can handle uncertainties presented as interval values and probability distributions, and it can support assessing the risk of violating system constraints. Several violation levels for facility-capacity and waste-diversion constraints are examined. Solutions associated with different risks of constraint violation were generated. The modeling results are valuable for supporting the planning of the study city's municipal solid waste (MSW) management practices, the long-term capacity expansion for waste management system, and the identification of desired policies regarding waste diversion. Sensitivity analyses are also undertaken to demonstrate that the violations of different constraints have varied effects on the planning of waste-flow allocation, facility expansion, and waste management cost.

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Section: Resultsmentioning

confidence: 99%

Section: Modeling Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling Municipal Solid Waste Management System under Uncertainty

Huang

2010

Journal of the Air & Waste Management Association

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“…Papers published by Solano et al [41,42] present a Life-Cycle-Based Model for a Waste Management System. This linear programming model allows decision makers to identify alternative integrated strategies that meet cost, energy and environmental emission objectives.…”

Section: Discussionmentioning

confidence: 99%

Identification and Selection of Alternative Scenarios in LCA Studies of Integrated Waste Management Systems: A Review of Main Issues and Perspectives

Tascione

Raggi

2012

Sustainability

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Life Cycle Assessment (LCA) is a decision support tool that can be used to assess the environmental performance of an integrated waste management system or to identify the system with the best performance through a comparative analysis of different scenarios. The results of the analysis depend primarily on how the scenarios to be compared are defined, that is on which waste fractions are assumed to be sent to certain treatments/destinations and in what amounts. This paper reviews LCAs of integrated waste management systems with the aim of exploring how the scenarios to be compared are defined in the preliminary phase of an LCA. This critical review highlighted that various criteria, more or less subjective, are generally used for the definition of scenarios. Furthermore, the number of scenarios identified and compared is generally limited; this may entail that only the best option among a limited set of possibilities can be selected, instead of identifying the best of all possible combinations. As a result, the advisability of identifying an integrated life cycle-based methodological approach that allows finding the most environmentally sound scenario among all of those that are theoretically possible is stressed.

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“…In addition, LCA has also been considered a tool to optimise process operating conditions [14], which can also support the decision making process in the field of waste management [15,16], waste to energy applications [17] and for the development of future waste management scenarios [18][19][20]. LCA is also used to settle on treatment processes that are less polluting, to asses systems indicated by different collection methods and technologies [21] and to focus attention on substances that may be hazardous to human health and the ecosystem [22].…”

Section: Introductionmentioning

confidence: 99%

The Use of LCA Method to Assess Environmental Impact of Sewage Sludge Incineration Plants

Wielgosiński

Cichowicz

Targaszewska

et al. 2017

Ecological Chemistry and Engineering S

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Life Cycle Assessment (LCA) is one of the new, little more popular in Poland of elements of environmental management. In the world literature one can find many examples of the use of LCA but mainly for comparison purposes. The paper presents results of LCA analysis made on the basis of data from a running incineration of sewage sludge. Performing a thorough analysis of this process enables improved operational system, including through a better use of the resulting products of combustion, as well as determining the impact of the thermal treatment of sludge on the environment and compared the results with data from the literature. To date, in Poland has not been carried out environmental impact assessments and the process of thermal treatment of both sludge and waste, based on the assumptions of LCA.

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Life-Cycle-based Solid Waste Management. II: Illustrative Applications

Cited by 69 publications

References 5 publications

Modeling Municipal Solid Waste Management System under Uncertainty

Modeling Municipal Solid Waste Management System under Uncertainty

Identification and Selection of Alternative Scenarios in LCA Studies of Integrated Waste Management Systems: A Review of Main Issues and Perspectives

The Use of LCA Method to Assess Environmental Impact of Sewage Sludge Incineration Plants

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