Solar Desalination System Model for Sizing of Photovoltaic Reverse Osmosis (PVRO)

Handle URI:
http://hdl.handle.net/10754/599655
Title:
Solar Desalination System Model for Sizing of Photovoltaic Reverse Osmosis (PVRO)
Authors:
Habib, Abdulelah; Zamani, Vahraz; Kleissl, Jan
Abstract:
The focus of this paper is to optimize the solar energy utilization in the water desalination process. Due to variable nature of solar energy, new system design is needed to address this challenge. Here, reverse osmosis units, as the electrical loads, are considered as an ON/OFF units to track these solar energy variations. Reverse osmosis units are different in sizes and numbers. Various combinations of reverse osmosis units in size and capacity provide different water desalination system performances. To assess each scenario of reverse osmosis units, the total capital cost and operation and maintenance (O&M) cost are considered. The implemented optimization algorithm search all of the possible scenarios to find the best solution. This paper deploys the solar irradiance data which is provided from west coast (Red Sea) of Saudi Arabia for model construction and optimization algorithm implementation.
Citation:
Habib A, Zamani V, Kleissl J (2015) Solar Desalination System Model for Sizing of Photovoltaic Reverse Osmosis (PVRO). ASME 2015 Power Conference. Available: http://dx.doi.org/10.1115/power2015-49386.
Publisher:
ASME International
Journal:
ASME 2015 Power Conference
Issue Date:
28-Jun-2015
DOI:
10.1115/power2015-49386
Type:
Conference Paper
Sponsors:
The authors would like to acknowledge the support of Centerfor Complex Engineering Systems (CCES) through the KACSTand MIT as a part of the joint research project for their consistentsupport and valuable contribution. As well as, King AbdullahUniversity for Since and Technology (KAUST) and Eng. TamerShahin for the critical data provided.
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Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorHabib, Abdulelahen
dc.contributor.authorZamani, Vahrazen
dc.contributor.authorKleissl, Janen
dc.date.accessioned2016-02-28T06:06:49Zen
dc.date.available2016-02-28T06:06:49Zen
dc.date.issued2015-06-28en
dc.identifier.citationHabib A, Zamani V, Kleissl J (2015) Solar Desalination System Model for Sizing of Photovoltaic Reverse Osmosis (PVRO). ASME 2015 Power Conference. Available: http://dx.doi.org/10.1115/power2015-49386.en
dc.identifier.doi10.1115/power2015-49386en
dc.identifier.urihttp://hdl.handle.net/10754/599655en
dc.description.abstractThe focus of this paper is to optimize the solar energy utilization in the water desalination process. Due to variable nature of solar energy, new system design is needed to address this challenge. Here, reverse osmosis units, as the electrical loads, are considered as an ON/OFF units to track these solar energy variations. Reverse osmosis units are different in sizes and numbers. Various combinations of reverse osmosis units in size and capacity provide different water desalination system performances. To assess each scenario of reverse osmosis units, the total capital cost and operation and maintenance (O&M) cost are considered. The implemented optimization algorithm search all of the possible scenarios to find the best solution. This paper deploys the solar irradiance data which is provided from west coast (Red Sea) of Saudi Arabia for model construction and optimization algorithm implementation.en
dc.description.sponsorshipThe authors would like to acknowledge the support of Centerfor Complex Engineering Systems (CCES) through the KACSTand MIT as a part of the joint research project for their consistentsupport and valuable contribution. As well as, King AbdullahUniversity for Since and Technology (KAUST) and Eng. TamerShahin for the critical data provided.en
dc.publisherASME Internationalen
dc.titleSolar Desalination System Model for Sizing of Photovoltaic Reverse Osmosis (PVRO)en
dc.typeConference Paperen
dc.identifier.journalASME 2015 Power Conferenceen
dc.contributor.institutionUniversity of California San Diego, La Jolla, CAen
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