An improved model for multiple effect distillation

Increasing global demand for fresh water is driving research and development of advanced desalination technologies. As a result, a detailed model of multiple effect distillation (MED) is developed that is flexible, simple to implement, and suitable for use in optimization of water and power cogenera...

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Principais autores: Mistry, Karan Hemant, Antar, Mohamed Abdelkerim, Lienhard, John H.
Outros Autores: Massachusetts Institute of Technology. Department of Mechanical Engineering
Formato: Artigo
Idioma:en_US
Publicado em: Desalination Publications 2014
Acesso em linha:http://hdl.handle.net/1721.1/89068
https://orcid.org/0000-0002-2901-0638
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author Mistry, Karan Hemant
Antar, Mohamed Abdelkerim
Lienhard, John H.
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Mistry, Karan Hemant
Antar, Mohamed Abdelkerim
Lienhard, John H.
author_sort Mistry, Karan Hemant
collection MIT
description Increasing global demand for fresh water is driving research and development of advanced desalination technologies. As a result, a detailed model of multiple effect distillation (MED) is developed that is flexible, simple to implement, and suitable for use in optimization of water and power cogeneration systems. The MED system is modeled in a modular method in which each of the subcomponents is modeled individually and then instantiated as necessary in order to piece together the complete plant model. Modular development allows for studying various MED configurations (such as forward feed, parallel feed, etc.) with minimal code duplication. Use of equation-oriented solvers, such as Engineering Equation Solver and JACOBIAN, rather than sequential solvers, simplifies the coding complexity dramatically and also reduces the number of required approximations and assumptions. The developed model is compared with four prominent forward feed MED models from literature. Through parametric analysis, it is found that the present model compares very well with the simple model provided by El-Sayed and Silver while providing substantially more detail in regard to the various temperature profiles within the MED system. Further, the model is easier to implement than the detailed El-Dessouky model while relying on fewer assumptions. The increased detail of the model allows for proper sensitivities to key variables related to input, operating, and design conditions necessary for use in a cogeneration or hybrid system optimization process.
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spelling mit-1721.1/890682022-09-30T12:44:02Z An improved model for multiple effect distillation Mistry, Karan Hemant Antar, Mohamed Abdelkerim Lienhard, John H. Massachusetts Institute of Technology. Department of Mechanical Engineering Lienhard, John H. Mistry, Karan Hemant Lienhard, John H. Increasing global demand for fresh water is driving research and development of advanced desalination technologies. As a result, a detailed model of multiple effect distillation (MED) is developed that is flexible, simple to implement, and suitable for use in optimization of water and power cogeneration systems. The MED system is modeled in a modular method in which each of the subcomponents is modeled individually and then instantiated as necessary in order to piece together the complete plant model. Modular development allows for studying various MED configurations (such as forward feed, parallel feed, etc.) with minimal code duplication. Use of equation-oriented solvers, such as Engineering Equation Solver and JACOBIAN, rather than sequential solvers, simplifies the coding complexity dramatically and also reduces the number of required approximations and assumptions. The developed model is compared with four prominent forward feed MED models from literature. Through parametric analysis, it is found that the present model compares very well with the simple model provided by El-Sayed and Silver while providing substantially more detail in regard to the various temperature profiles within the MED system. Further, the model is easier to implement than the detailed El-Dessouky model while relying on fewer assumptions. The increased detail of the model allows for proper sensitivities to key variables related to input, operating, and design conditions necessary for use in a cogeneration or hybrid system optimization process. Center for Clean Water and Clean Energy at MIT and KFUPM (Project R13-CW-10) 2014-08-26T16:45:58Z 2014-08-26T16:45:58Z 2012-07 2012-03 Article http://purl.org/eprint/type/ConferencePaper 1944-3994 1944-3986 http://hdl.handle.net/1721.1/89068 Mistry, Karan H., Mohamed A. Antar, and John H. Lienhard V. “An Improved Model for Multiple Effect Distillation.” Desalination and Water Treatment 51, no. 4–6 (January 2013): 807–821. https://orcid.org/0000-0002-2901-0638 en_US http://dx.doi.org/10.1080/19443994.2012.703383 Desalination and Water Treatment Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Desalination Publications Prof. Lienhard via Angie Locknar
spellingShingle Mistry, Karan Hemant
Antar, Mohamed Abdelkerim
Lienhard, John H.
An improved model for multiple effect distillation
title An improved model for multiple effect distillation
title_full An improved model for multiple effect distillation
title_fullStr An improved model for multiple effect distillation
title_full_unstemmed An improved model for multiple effect distillation
title_short An improved model for multiple effect distillation
title_sort improved model for multiple effect distillation
url http://hdl.handle.net/1721.1/89068
https://orcid.org/0000-0002-2901-0638
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