Optimisation of the construction and demolition waste management facilities location in Cantabria (Spain) under economical and environmental criteria
Abstract Construction and demolition waste (C&DW) constitutes a priority waste stream due to the large amounts generated and its high potential for reuse and recycling. Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill th...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Galan, Berta [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2013 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media Dordrecht 2013 |
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| Übergeordnetes Werk: |
Enthalten in: Waste and biomass valorization - [Dordrecht] : Springer Netherlands, 2010, 4(2013), 4 vom: 10. Feb., Seite 797-808 |
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| Übergeordnetes Werk: |
volume:4 ; year:2013 ; number:4 ; day:10 ; month:02 ; pages:797-808 |
| Links: |
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| DOI / URN: |
10.1007/s12649-013-9196-0 |
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SPR026563983 |
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| 520 | |a Abstract Construction and demolition waste (C&DW) constitutes a priority waste stream due to the large amounts generated and its high potential for reuse and recycling. Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill this new legislation, it is necessary to settle down a network of recycling facilities for C&DW (processing plants (PP) and/or transfer stations (TS)). The aim of this paper is to identify the locations and capacity of the transfer stations and processing plants and the corresponding distribution network by means of an optimization model that minimizes: (1) medium transportation distance and (2) total costs (installation, operation and landfill). The model is formulated as Mixed Integer Lineal Programming (MILP) problem where the binary variables represent the presence or not of management facilities at a location. General Algebraic Modeling System (GAMS) is used as a modeling system for the resolution of the mathematical programs. The model has been applied to a real-life case in Cantabria, a northern Spanish region. Two approaches have been considered: (a) the region as a whole area and (b) the region divided in five geographical areas. The results show that when the total costs are minimized, the number of facilities decreases, and when the medium transport distance is minimized, the number of facilities increases. The proposed final network includes location of three PP and two TS, each one of these facilities located in one of the five geographical areas. The optimal results also determine the municipality where each facility must be located, the capacity of them and the distribution network. | ||
| 650 | 4 | |a Construction and demolition waste |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Recycling network |7 (dpeaa)DE-He213 | |
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| 650 | 4 | |a Total costs minimization |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Transport distance minimization |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Dosal, Elena |4 aut | |
| 700 | 1 | |a Andrés, Ana |4 aut | |
| 700 | 1 | |a Viguri, Javier |4 aut | |
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10.1007/s12649-013-9196-0 doi (DE-627)SPR026563983 (SPR)s12649-013-9196-0-e DE-627 ger DE-627 rakwb eng Galan, Berta verfasserin aut Optimisation of the construction and demolition waste management facilities location in Cantabria (Spain) under economical and environmental criteria 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media Dordrecht 2013 Abstract Construction and demolition waste (C&DW) constitutes a priority waste stream due to the large amounts generated and its high potential for reuse and recycling. Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill this new legislation, it is necessary to settle down a network of recycling facilities for C&DW (processing plants (PP) and/or transfer stations (TS)). The aim of this paper is to identify the locations and capacity of the transfer stations and processing plants and the corresponding distribution network by means of an optimization model that minimizes: (1) medium transportation distance and (2) total costs (installation, operation and landfill). The model is formulated as Mixed Integer Lineal Programming (MILP) problem where the binary variables represent the presence or not of management facilities at a location. General Algebraic Modeling System (GAMS) is used as a modeling system for the resolution of the mathematical programs. The model has been applied to a real-life case in Cantabria, a northern Spanish region. Two approaches have been considered: (a) the region as a whole area and (b) the region divided in five geographical areas. The results show that when the total costs are minimized, the number of facilities decreases, and when the medium transport distance is minimized, the number of facilities increases. The proposed final network includes location of three PP and two TS, each one of these facilities located in one of the five geographical areas. The optimal results also determine the municipality where each facility must be located, the capacity of them and the distribution network. Construction and demolition waste (dpeaa)DE-He213 Recycling network (dpeaa)DE-He213 Waste management (dpeaa)DE-He213 Total costs minimization (dpeaa)DE-He213 Transport distance minimization (dpeaa)DE-He213 Dosal, Elena aut Andrés, Ana aut Viguri, Javier aut Enthalten in Waste and biomass valorization [Dordrecht] : Springer Netherlands, 2010 4(2013), 4 vom: 10. Feb., Seite 797-808 (DE-627)620147245 (DE-600)2541900-6 1877-265X nnns volume:4 year:2013 number:4 day:10 month:02 pages:797-808 https://dx.doi.org/10.1007/s12649-013-9196-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2013 4 10 02 797-808 |
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10.1007/s12649-013-9196-0 doi (DE-627)SPR026563983 (SPR)s12649-013-9196-0-e DE-627 ger DE-627 rakwb eng Galan, Berta verfasserin aut Optimisation of the construction and demolition waste management facilities location in Cantabria (Spain) under economical and environmental criteria 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media Dordrecht 2013 Abstract Construction and demolition waste (C&DW) constitutes a priority waste stream due to the large amounts generated and its high potential for reuse and recycling. Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill this new legislation, it is necessary to settle down a network of recycling facilities for C&DW (processing plants (PP) and/or transfer stations (TS)). The aim of this paper is to identify the locations and capacity of the transfer stations and processing plants and the corresponding distribution network by means of an optimization model that minimizes: (1) medium transportation distance and (2) total costs (installation, operation and landfill). The model is formulated as Mixed Integer Lineal Programming (MILP) problem where the binary variables represent the presence or not of management facilities at a location. General Algebraic Modeling System (GAMS) is used as a modeling system for the resolution of the mathematical programs. The model has been applied to a real-life case in Cantabria, a northern Spanish region. Two approaches have been considered: (a) the region as a whole area and (b) the region divided in five geographical areas. The results show that when the total costs are minimized, the number of facilities decreases, and when the medium transport distance is minimized, the number of facilities increases. The proposed final network includes location of three PP and two TS, each one of these facilities located in one of the five geographical areas. The optimal results also determine the municipality where each facility must be located, the capacity of them and the distribution network. Construction and demolition waste (dpeaa)DE-He213 Recycling network (dpeaa)DE-He213 Waste management (dpeaa)DE-He213 Total costs minimization (dpeaa)DE-He213 Transport distance minimization (dpeaa)DE-He213 Dosal, Elena aut Andrés, Ana aut Viguri, Javier aut Enthalten in Waste and biomass valorization [Dordrecht] : Springer Netherlands, 2010 4(2013), 4 vom: 10. Feb., Seite 797-808 (DE-627)620147245 (DE-600)2541900-6 1877-265X nnns volume:4 year:2013 number:4 day:10 month:02 pages:797-808 https://dx.doi.org/10.1007/s12649-013-9196-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2013 4 10 02 797-808 |
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10.1007/s12649-013-9196-0 doi (DE-627)SPR026563983 (SPR)s12649-013-9196-0-e DE-627 ger DE-627 rakwb eng Galan, Berta verfasserin aut Optimisation of the construction and demolition waste management facilities location in Cantabria (Spain) under economical and environmental criteria 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media Dordrecht 2013 Abstract Construction and demolition waste (C&DW) constitutes a priority waste stream due to the large amounts generated and its high potential for reuse and recycling. Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill this new legislation, it is necessary to settle down a network of recycling facilities for C&DW (processing plants (PP) and/or transfer stations (TS)). The aim of this paper is to identify the locations and capacity of the transfer stations and processing plants and the corresponding distribution network by means of an optimization model that minimizes: (1) medium transportation distance and (2) total costs (installation, operation and landfill). The model is formulated as Mixed Integer Lineal Programming (MILP) problem where the binary variables represent the presence or not of management facilities at a location. General Algebraic Modeling System (GAMS) is used as a modeling system for the resolution of the mathematical programs. The model has been applied to a real-life case in Cantabria, a northern Spanish region. Two approaches have been considered: (a) the region as a whole area and (b) the region divided in five geographical areas. The results show that when the total costs are minimized, the number of facilities decreases, and when the medium transport distance is minimized, the number of facilities increases. The proposed final network includes location of three PP and two TS, each one of these facilities located in one of the five geographical areas. The optimal results also determine the municipality where each facility must be located, the capacity of them and the distribution network. Construction and demolition waste (dpeaa)DE-He213 Recycling network (dpeaa)DE-He213 Waste management (dpeaa)DE-He213 Total costs minimization (dpeaa)DE-He213 Transport distance minimization (dpeaa)DE-He213 Dosal, Elena aut Andrés, Ana aut Viguri, Javier aut Enthalten in Waste and biomass valorization [Dordrecht] : Springer Netherlands, 2010 4(2013), 4 vom: 10. Feb., Seite 797-808 (DE-627)620147245 (DE-600)2541900-6 1877-265X nnns volume:4 year:2013 number:4 day:10 month:02 pages:797-808 https://dx.doi.org/10.1007/s12649-013-9196-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2013 4 10 02 797-808 |
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10.1007/s12649-013-9196-0 doi (DE-627)SPR026563983 (SPR)s12649-013-9196-0-e DE-627 ger DE-627 rakwb eng Galan, Berta verfasserin aut Optimisation of the construction and demolition waste management facilities location in Cantabria (Spain) under economical and environmental criteria 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media Dordrecht 2013 Abstract Construction and demolition waste (C&DW) constitutes a priority waste stream due to the large amounts generated and its high potential for reuse and recycling. Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill this new legislation, it is necessary to settle down a network of recycling facilities for C&DW (processing plants (PP) and/or transfer stations (TS)). The aim of this paper is to identify the locations and capacity of the transfer stations and processing plants and the corresponding distribution network by means of an optimization model that minimizes: (1) medium transportation distance and (2) total costs (installation, operation and landfill). The model is formulated as Mixed Integer Lineal Programming (MILP) problem where the binary variables represent the presence or not of management facilities at a location. General Algebraic Modeling System (GAMS) is used as a modeling system for the resolution of the mathematical programs. The model has been applied to a real-life case in Cantabria, a northern Spanish region. Two approaches have been considered: (a) the region as a whole area and (b) the region divided in five geographical areas. The results show that when the total costs are minimized, the number of facilities decreases, and when the medium transport distance is minimized, the number of facilities increases. The proposed final network includes location of three PP and two TS, each one of these facilities located in one of the five geographical areas. The optimal results also determine the municipality where each facility must be located, the capacity of them and the distribution network. Construction and demolition waste (dpeaa)DE-He213 Recycling network (dpeaa)DE-He213 Waste management (dpeaa)DE-He213 Total costs minimization (dpeaa)DE-He213 Transport distance minimization (dpeaa)DE-He213 Dosal, Elena aut Andrés, Ana aut Viguri, Javier aut Enthalten in Waste and biomass valorization [Dordrecht] : Springer Netherlands, 2010 4(2013), 4 vom: 10. Feb., Seite 797-808 (DE-627)620147245 (DE-600)2541900-6 1877-265X nnns volume:4 year:2013 number:4 day:10 month:02 pages:797-808 https://dx.doi.org/10.1007/s12649-013-9196-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2013 4 10 02 797-808 |
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10.1007/s12649-013-9196-0 doi (DE-627)SPR026563983 (SPR)s12649-013-9196-0-e DE-627 ger DE-627 rakwb eng Galan, Berta verfasserin aut Optimisation of the construction and demolition waste management facilities location in Cantabria (Spain) under economical and environmental criteria 2013 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Science+Business Media Dordrecht 2013 Abstract Construction and demolition waste (C&DW) constitutes a priority waste stream due to the large amounts generated and its high potential for reuse and recycling. Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill this new legislation, it is necessary to settle down a network of recycling facilities for C&DW (processing plants (PP) and/or transfer stations (TS)). The aim of this paper is to identify the locations and capacity of the transfer stations and processing plants and the corresponding distribution network by means of an optimization model that minimizes: (1) medium transportation distance and (2) total costs (installation, operation and landfill). The model is formulated as Mixed Integer Lineal Programming (MILP) problem where the binary variables represent the presence or not of management facilities at a location. General Algebraic Modeling System (GAMS) is used as a modeling system for the resolution of the mathematical programs. The model has been applied to a real-life case in Cantabria, a northern Spanish region. Two approaches have been considered: (a) the region as a whole area and (b) the region divided in five geographical areas. The results show that when the total costs are minimized, the number of facilities decreases, and when the medium transport distance is minimized, the number of facilities increases. The proposed final network includes location of three PP and two TS, each one of these facilities located in one of the five geographical areas. The optimal results also determine the municipality where each facility must be located, the capacity of them and the distribution network. Construction and demolition waste (dpeaa)DE-He213 Recycling network (dpeaa)DE-He213 Waste management (dpeaa)DE-He213 Total costs minimization (dpeaa)DE-He213 Transport distance minimization (dpeaa)DE-He213 Dosal, Elena aut Andrés, Ana aut Viguri, Javier aut Enthalten in Waste and biomass valorization [Dordrecht] : Springer Netherlands, 2010 4(2013), 4 vom: 10. Feb., Seite 797-808 (DE-627)620147245 (DE-600)2541900-6 1877-265X nnns volume:4 year:2013 number:4 day:10 month:02 pages:797-808 https://dx.doi.org/10.1007/s12649-013-9196-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 4 2013 4 10 02 797-808 |
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Enthalten in Waste and biomass valorization 4(2013), 4 vom: 10. Feb., Seite 797-808 volume:4 year:2013 number:4 day:10 month:02 pages:797-808 |
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Galan, Berta @@aut@@ Dosal, Elena @@aut@@ Andrés, Ana @@aut@@ Viguri, Javier @@aut@@ |
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Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill this new legislation, it is necessary to settle down a network of recycling facilities for C&DW (processing plants (PP) and/or transfer stations (TS)). The aim of this paper is to identify the locations and capacity of the transfer stations and processing plants and the corresponding distribution network by means of an optimization model that minimizes: (1) medium transportation distance and (2) total costs (installation, operation and landfill). The model is formulated as Mixed Integer Lineal Programming (MILP) problem where the binary variables represent the presence or not of management facilities at a location. General Algebraic Modeling System (GAMS) is used as a modeling system for the resolution of the mathematical programs. The model has been applied to a real-life case in Cantabria, a northern Spanish region. 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Galan, Berta |
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Optimisation of the construction and demolition waste management facilities location in Cantabria (Spain) under economical and environmental criteria Construction and demolition waste (dpeaa)DE-He213 Recycling network (dpeaa)DE-He213 Waste management (dpeaa)DE-He213 Total costs minimization (dpeaa)DE-He213 Transport distance minimization (dpeaa)DE-He213 |
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optimisation of the construction and demolition waste management facilities location in cantabria (spain) under economical and environmental criteria |
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Optimisation of the construction and demolition waste management facilities location in Cantabria (Spain) under economical and environmental criteria |
| abstract |
Abstract Construction and demolition waste (C&DW) constitutes a priority waste stream due to the large amounts generated and its high potential for reuse and recycling. Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill this new legislation, it is necessary to settle down a network of recycling facilities for C&DW (processing plants (PP) and/or transfer stations (TS)). The aim of this paper is to identify the locations and capacity of the transfer stations and processing plants and the corresponding distribution network by means of an optimization model that minimizes: (1) medium transportation distance and (2) total costs (installation, operation and landfill). The model is formulated as Mixed Integer Lineal Programming (MILP) problem where the binary variables represent the presence or not of management facilities at a location. General Algebraic Modeling System (GAMS) is used as a modeling system for the resolution of the mathematical programs. The model has been applied to a real-life case in Cantabria, a northern Spanish region. Two approaches have been considered: (a) the region as a whole area and (b) the region divided in five geographical areas. The results show that when the total costs are minimized, the number of facilities decreases, and when the medium transport distance is minimized, the number of facilities increases. The proposed final network includes location of three PP and two TS, each one of these facilities located in one of the five geographical areas. The optimal results also determine the municipality where each facility must be located, the capacity of them and the distribution network. © Springer Science+Business Media Dordrecht 2013 |
| abstractGer |
Abstract Construction and demolition waste (C&DW) constitutes a priority waste stream due to the large amounts generated and its high potential for reuse and recycling. Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill this new legislation, it is necessary to settle down a network of recycling facilities for C&DW (processing plants (PP) and/or transfer stations (TS)). The aim of this paper is to identify the locations and capacity of the transfer stations and processing plants and the corresponding distribution network by means of an optimization model that minimizes: (1) medium transportation distance and (2) total costs (installation, operation and landfill). The model is formulated as Mixed Integer Lineal Programming (MILP) problem where the binary variables represent the presence or not of management facilities at a location. General Algebraic Modeling System (GAMS) is used as a modeling system for the resolution of the mathematical programs. The model has been applied to a real-life case in Cantabria, a northern Spanish region. Two approaches have been considered: (a) the region as a whole area and (b) the region divided in five geographical areas. The results show that when the total costs are minimized, the number of facilities decreases, and when the medium transport distance is minimized, the number of facilities increases. The proposed final network includes location of three PP and two TS, each one of these facilities located in one of the five geographical areas. The optimal results also determine the municipality where each facility must be located, the capacity of them and the distribution network. © Springer Science+Business Media Dordrecht 2013 |
| abstract_unstemmed |
Abstract Construction and demolition waste (C&DW) constitutes a priority waste stream due to the large amounts generated and its high potential for reuse and recycling. Specific legislation has been developed for this type of waste at European, national and regional level. In order to fulfill this new legislation, it is necessary to settle down a network of recycling facilities for C&DW (processing plants (PP) and/or transfer stations (TS)). The aim of this paper is to identify the locations and capacity of the transfer stations and processing plants and the corresponding distribution network by means of an optimization model that minimizes: (1) medium transportation distance and (2) total costs (installation, operation and landfill). The model is formulated as Mixed Integer Lineal Programming (MILP) problem where the binary variables represent the presence or not of management facilities at a location. General Algebraic Modeling System (GAMS) is used as a modeling system for the resolution of the mathematical programs. The model has been applied to a real-life case in Cantabria, a northern Spanish region. Two approaches have been considered: (a) the region as a whole area and (b) the region divided in five geographical areas. The results show that when the total costs are minimized, the number of facilities decreases, and when the medium transport distance is minimized, the number of facilities increases. The proposed final network includes location of three PP and two TS, each one of these facilities located in one of the five geographical areas. The optimal results also determine the municipality where each facility must be located, the capacity of them and the distribution network. © Springer Science+Business Media Dordrecht 2013 |
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Optimisation of the construction and demolition waste management facilities location in Cantabria (Spain) under economical and environmental criteria |
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https://dx.doi.org/10.1007/s12649-013-9196-0 |
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Dosal, Elena Andrés, Ana Viguri, Javier |
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10.1007/s12649-013-9196-0 |
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2024-07-03T21:32:48.667Z |
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| score |
7.399967 |