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231224s2013 xx |||||o 00| ||eng c |
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|a 10.1016/j.wasman.2013.04.012
|2 doi
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|a pubmed25n0760.xml
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|a (NLM)23751513
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|a (PII)S0956-053X(13)00204-3
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
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|a Mavrotas, George
|e verfasserin
|4 aut
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|a A multi-objective programming model for assessment the GHG emissions in MSW management
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|c 2013
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 25.02.2014
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|a Date Revised 09.08.2013
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2013 Elsevier Ltd. All rights reserved.
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|a In this study a multi-objective mathematical programming model is developed for taking into account GHG emissions for Municipal Solid Waste (MSW) management. Mathematical programming models are often used for structure, design and operational optimization of various systems (energy, supply chain, processes, etc.). The last twenty years they are used all the more often in Municipal Solid Waste (MSW) management in order to provide optimal solutions with the cost objective being the usual driver of the optimization. In our work we consider the GHG emissions as an additional criterion, aiming at a multi-objective approach. The Pareto front (Cost vs. GHG emissions) of the system is generated using an appropriate multi-objective method. This information is essential to the decision maker because he can explore the trade-offs in the Pareto curve and select his most preferred among the Pareto optimal solutions. In the present work a detailed multi-objective, multi-period mathematical programming model is developed in order to describe the waste management problem. Apart from the bi-objective approach, the major innovations of the model are (1) the detailed modeling considering 34 materials and 42 technologies, (2) the detailed calculation of the energy content of the various streams based on the detailed material balances, and (3) the incorporation of the IPCC guidelines for the CH4 generated in the landfills (first order decay model). The equations of the model are described in full detail. Finally, the whole approach is illustrated with a case study referring to the application of the model in a Greek region
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|a Journal Article
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|a GHG emissions
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|a MSW
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|a Multi-objective mathematical programming
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| 650 |
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|a Optimization
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| 650 |
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|a Gases
|2 NLM
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| 700 |
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|a Skoulaxinou, Sotiria
|e verfasserin
|4 aut
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| 700 |
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|a Gakis, Nikos
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Katsouros, Vassilis
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Georgopoulou, Elena
|e verfasserin
|4 aut
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| 773 |
0 |
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|i Enthalten in
|t Waste management (New York, N.Y.)
|d 1999
|g 33(2013), 9 vom: 15. Sept., Seite 1934-49
|w (DE-627)NLM098197061
|x 1879-2456
|7 nnas
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| 773 |
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|g volume:33
|g year:2013
|g number:9
|g day:15
|g month:09
|g pages:1934-49
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|u http://dx.doi.org/10.1016/j.wasman.2013.04.012
|3 Volltext
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