A multi-period mixed integer linear programming model for water and energy supply planning in Kuwait
The demand for water often necessitates desalination, particularly in arid coastal environments. Desalination is often integrated with electrical cogeneration. The demands for water and electricity change over time and are subject to uncertainty. A country-wide large-scale energy and water cogenerat...
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| Veröffentlicht in: | Clean technologies and environmental policy Jg. 17; H. 2; S. 485 - 499 |
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| Sprache: | Englisch |
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Springer Berlin Heidelberg
01.02.2015
Springer Nature B.V |
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| ISSN: | 1618-954X, 1618-9558 |
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| Abstract | The demand for water often necessitates desalination, particularly in arid coastal environments. Desalination is often integrated with electrical cogeneration. The demands for water and electricity change over time and are subject to uncertainty. A country-wide large-scale energy and water cogeneration planning model for Kuwait is formulated as a multi-period mixed integer linear programming problem and solved to minimize the net present value over the time period of 2013–2050. Five different plant technology options were considered for desalination and cogeneration including Oil & Multi Stage Flash, Natural Gas & Multi-Effect Distillation, Natural Gas & Reverse Osmosis, Solar Energy & Multi-Effect Distillation, and Solar Energy & Reverse Osmosis. Both water and energy usage in Kuwait and data from existing plants were utilized in providing the parameters and forecasts necessary for solution of the mathematical programming model. The model provides technology choice and associated capacity decisions for existing plants, new plants at green sites, and existing plant capacity expansions as well as their timing to meet the demands. |
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| AbstractList | The demand for water often necessitates desalination, particularly in arid coastal environments. Desalination is often integrated with electrical cogeneration. The demands for water and electricity change over time and are subject to uncertainty. A country-wide large-scale energy and water cogeneration planning model for Kuwait is formulated as a multi-period mixed integer linear programming problem and solved to minimize the net present value over the time period of 2013-2050. Five different plant technology options were considered for desalination and cogeneration including Oil & Multi Stage Flash, Natural Gas & Multi-Effect Distillation, Natural Gas & Reverse Osmosis, Solar Energy & Multi-Effect Distillation, and Solar Energy & Reverse Osmosis. Both water and energy usage in Kuwait and data from existing plants were utilized in providing the parameters and forecasts necessary for solution of the mathematical programming model. The model provides technology choice and associated capacity decisions for existing plants, new plants at green sites, and existing plant capacity expansions as well as their timing to meet the demands. |
| Author | AlQattan, Nael Ross, Mark Sunol, Aydin K. |
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| CitedBy_id | crossref_primary_10_1016_j_supflu_2014_10_004 crossref_primary_10_1007_s10098_024_03090_9 crossref_primary_10_1016_j_apenergy_2016_12_142 crossref_primary_10_1016_j_jtice_2023_105187 crossref_primary_10_1016_j_wri_2022_100193 crossref_primary_10_1016_j_advwatres_2016_12_017 crossref_primary_10_1016_j_rser_2020_110346 crossref_primary_10_1155_2019_6745320 crossref_primary_10_1007_s10098_016_1139_6 crossref_primary_10_2166_ws_2024_212 crossref_primary_10_3390_w14162483 crossref_primary_10_1016_j_desal_2018_06_005 crossref_primary_10_1016_j_envsoft_2017_11_034 crossref_primary_10_1089_ees_2017_0100 |
| Cites_doi | 10.1073/pnas.0506467102 10.1007/s10098-012-0469-2 10.1007/s10098-010-0312-6 10.1007/s10098-009-0201-z 10.1016/j.wri.2013.06.001 10.1021/ie980133h 10.1007/BF01581212 10.1016/j.energy.2006.10.006 10.1007/978-1-4757-4949-6 10.1007/978-3-642-60972-5_22 10.1021/ie00054a015 |
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| References | GrossmannIEMixed-integer nonlinear programming techniques for the synthesis of engineering systemsRes Eng Des199013–420522810.1007/BF01581212 CucekLLamHLKlemesJJVarbanovPSKravanjaZSynthesis of regional networks for the supply of energy and bioproductsClean Technol Environ Policy20101263564510.1007/s10098-010-0312-6 JuryWVauxHThe role of science in solving the world’s emerging water problemsNat Acad Sci2005102157151572010.1073/pnas.05064671021:CAS:528:DC%2BD2MXht1Wru7vK Al-DamkhiAMAbdul-WahabSAOn the need to reconsider water management in KuwaitClean Technol Environ Policy20091137938410.1007/s10098-009-0201-z Burgara-MonteroOPonce-OrtegaJMSerna-GonzalesMEl-HalwagiMMOptimal design of distributed treatment systems for the effluents discharged to the riversClean Technol Environ Policy20121492594210.1007/s10098-012-0469-2 ErhardWPA simulation environment for the techno-economic performance prediction of water and power cogeneration systems using renewable and fossil energy sourcesEuroMed2006203337345 Medeazza GV (2006/2007) Modeling of water and energy systems. The case of desalination. Energy 32(6):1024–1031 Sarbu B (2011) A comparative analysis of oil production sectors in Saudi Arabia and the United Arab Emirates. EUGOV ZahrimAYHilalNTreatment of highly concentrated dye solution by coagulation/flocculation-sand filtration and nanofiltrationWater Res Ind20133233410.1016/j.wri.2013.06.001 HajeehMMohammedOBehbahanniWA mathematical model for a dual purpose power desalination plant2003AmsterdamElsevier B.V6168 GrossmannIEStraubDAReklaitisGVSunolARippinDWTHortacsuORecent developments in the evaluation and optimization of flexible chemical processesBatch processing systems engineering, NATO ASI Series1996BerlinSpringer Verlag49551610.1007/978-3-642-60972-5_22 SahinidisNVGrossmannIEMultiperiod investment decision model for processing networks with dedicated and flexible plantsInd Eng Chem Res19913061165117110.1021/ie00054a0151:CAS:528:DyaK3MXisFSju70%3D GAMS (2013) http://www.gams.com/. Accessed 3 July 2014 Galan B, Grossmann IE (1998) Optimal design of distributed waste water treatment networks. Ind Eng Chem Res 37(6):4036–4048 AlQattan (2014) PhD Dissertation, University of South Florida FloudasCDeterministic global optimization2000BerlinSpringer10.1007/978-1-4757-4949-6 Roudi-Fahimi F, Greel L, Souza R (2002) Finding the balance: population and water scarcity in the Middle East and North Africa. MENA Policy Brief Afgan N (2007) Sustainable development of water desalination and energy systems Kuwait case 806_CR8 M Hajeeh (806_CR11) 2003 NV Sahinidis (806_CR15) 1991; 30 806_CR3 IE Grossmann (806_CR10) 1996 806_CR1 WP Erhard (806_CR6) 2006; 203 AM Al-Damkhi (806_CR2) 2009; 11 L Cucek (806_CR5) 2010; 12 IE Grossmann (806_CR9) 1990; 1 O Burgara-Montero (806_CR4) 2012; 14 AY Zahrim (806_CR17) 2013; 3 806_CR16 806_CR18 W Jury (806_CR12) 2005; 102 C Floudas (806_CR7) 2000 806_CR14 806_CR13 |
| References_xml | – reference: Burgara-MonteroOPonce-OrtegaJMSerna-GonzalesMEl-HalwagiMMOptimal design of distributed treatment systems for the effluents discharged to the riversClean Technol Environ Policy20121492594210.1007/s10098-012-0469-2 – reference: Roudi-Fahimi F, Greel L, Souza R (2002) Finding the balance: population and water scarcity in the Middle East and North Africa. MENA Policy Brief – reference: FloudasCDeterministic global optimization2000BerlinSpringer10.1007/978-1-4757-4949-6 – reference: Galan B, Grossmann IE (1998) Optimal design of distributed waste water treatment networks. Ind Eng Chem Res 37(6):4036–4048 – reference: AlQattan (2014) PhD Dissertation, University of South Florida – reference: CucekLLamHLKlemesJJVarbanovPSKravanjaZSynthesis of regional networks for the supply of energy and bioproductsClean Technol Environ Policy20101263564510.1007/s10098-010-0312-6 – reference: HajeehMMohammedOBehbahanniWA mathematical model for a dual purpose power desalination plant2003AmsterdamElsevier B.V6168 – reference: Al-DamkhiAMAbdul-WahabSAOn the need to reconsider water management in KuwaitClean Technol Environ Policy20091137938410.1007/s10098-009-0201-z – reference: GrossmannIEStraubDAReklaitisGVSunolARippinDWTHortacsuORecent developments in the evaluation and optimization of flexible chemical processesBatch processing systems engineering, NATO ASI Series1996BerlinSpringer Verlag49551610.1007/978-3-642-60972-5_22 – reference: Afgan N (2007) Sustainable development of water desalination and energy systems Kuwait case – reference: ErhardWPA simulation environment for the techno-economic performance prediction of water and power cogeneration systems using renewable and fossil energy sourcesEuroMed2006203337345 – reference: GAMS (2013) http://www.gams.com/. Accessed 3 July 2014 – reference: SahinidisNVGrossmannIEMultiperiod investment decision model for processing networks with dedicated and flexible plantsInd Eng Chem Res19913061165117110.1021/ie00054a0151:CAS:528:DyaK3MXisFSju70%3D – reference: JuryWVauxHThe role of science in solving the world’s emerging water problemsNat Acad Sci2005102157151572010.1073/pnas.05064671021:CAS:528:DC%2BD2MXht1Wru7vK – reference: Medeazza GV (2006/2007) Modeling of water and energy systems. The case of desalination. Energy 32(6):1024–1031 – reference: Sarbu B (2011) A comparative analysis of oil production sectors in Saudi Arabia and the United Arab Emirates. EUGOV – reference: ZahrimAYHilalNTreatment of highly concentrated dye solution by coagulation/flocculation-sand filtration and nanofiltrationWater Res Ind20133233410.1016/j.wri.2013.06.001 – reference: GrossmannIEMixed-integer nonlinear programming techniques for the synthesis of engineering systemsRes Eng Des199013–420522810.1007/BF01581212 – ident: 806_CR8 – volume: 102 start-page: 15715 year: 2005 ident: 806_CR12 publication-title: Nat Acad Sci doi: 10.1073/pnas.0506467102 – ident: 806_CR16 – volume: 14 start-page: 925 year: 2012 ident: 806_CR4 publication-title: Clean Technol Environ Policy doi: 10.1007/s10098-012-0469-2 – volume: 12 start-page: 635 year: 2010 ident: 806_CR5 publication-title: Clean Technol Environ Policy doi: 10.1007/s10098-010-0312-6 – volume: 11 start-page: 379 year: 2009 ident: 806_CR2 publication-title: Clean Technol Environ Policy doi: 10.1007/s10098-009-0201-z – start-page: 61 volume-title: A mathematical model for a dual purpose power desalination plant year: 2003 ident: 806_CR11 – volume: 3 start-page: 23 year: 2013 ident: 806_CR17 publication-title: Water Res Ind doi: 10.1016/j.wri.2013.06.001 – ident: 806_CR18 doi: 10.1021/ie980133h – volume: 203 start-page: 337 year: 2006 ident: 806_CR6 publication-title: EuroMed – ident: 806_CR14 – volume: 1 start-page: 205 issue: 3–4 year: 1990 ident: 806_CR9 publication-title: Res Eng Des doi: 10.1007/BF01581212 – ident: 806_CR3 – ident: 806_CR13 doi: 10.1016/j.energy.2006.10.006 – volume-title: Deterministic global optimization year: 2000 ident: 806_CR7 doi: 10.1007/978-1-4757-4949-6 – ident: 806_CR1 – start-page: 495 volume-title: Batch processing systems engineering, NATO ASI Series year: 1996 ident: 806_CR10 doi: 10.1007/978-3-642-60972-5_22 – volume: 30 start-page: 1165 issue: 6 year: 1991 ident: 806_CR15 publication-title: Ind Eng Chem Res doi: 10.1021/ie00054a015 |
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| Title | A multi-period mixed integer linear programming model for water and energy supply planning in Kuwait |
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