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
Hauptverfasser: AlQattan, Nael, Ross, Mark, Sunol, Aydin K.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Berlin/Heidelberg 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.
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.
Author_xml – sequence: 1
  givenname: Nael
  surname: AlQattan
  fullname: AlQattan, Nael
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  givenname: Mark
  surname: Ross
  fullname: Ross, Mark
  organization: Civil and Environmental Engineering, College of Engineering, University of South Florida
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  givenname: Aydin K.
  surname: Sunol
  fullname: Sunol, Aydin K.
  email: asunol@usf.edu
  organization: Chemical and Biomedical Engineering, College of Engineering, University of South Florida
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Cites_doi 10.1073/pnas.0506467102
10.1007/s10098-012-0469-2
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Keywords Capacity expansion
Mixed integer linear programming
Cogeneration
Desalination
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– 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
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– 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
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– 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
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SubjectTerms Alternative energy sources
Coastal environments
Cogeneration
Consumption
Decision making
Demand
Desalination
Distillation
Drinking water
Earth and Environmental Science
Electricity
Electricity distribution
Energy consumption
Energy usage
Engineering
Engineering schools
Environment
Environmental Economics
Environmental Engineering/Biotechnology
Environmental policy
Industrial and Production Engineering
Industrial Chemistry/Chemical Engineering
Linear programming
Mathematical models
Mathematical programming
Mixed integer
Natural gas
Original Paper
Population
Power plants
Present value
Production capacity
Renewable resources
Reverse osmosis
Solar energy
Sustainable Development
Technology
Uncertainty
Water
Water demand
Water supply
Water supply engineering
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