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Adaptive scheduling algorithm for a PV-powered irrigation system

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dc.contributor.authorFadel, Moustafa A., author
dc.contributor.authorU.S. Committee on Irrigation and Drainage, publisher
dc.date.accessioned2020-05-21T11:39:16Z
dc.date.available2020-05-21T11:39:16Z
dc.date.issued2009-11
dc.descriptionPresented at the fifth international conference on irrigation and drainage, Irrigation and drainage for food, energy and the environment on November 3-6, 2009 in Salt Lake City, Utah.
dc.description.abstractOptimal management of irrigation systems and their efficient use of energy is a major global concern where energy resources are jeopardized. Effective solar irradiance in the United Arab Emirates is available most of the year which makes it easy to project PV (Photo Voltaic) system output and the produced flow and pressure produced by a PV-powered DC pump. A PV- irrigation system was developed in the experimental farm of the College of Food and Agriculture, United Arab Emirates University. In this paper an adaptive scheduling scheme is developed to provide an adaptive control of a photovoltaic powered irrigation system according to the availability of solar energy as well as the field conditions of the irrigated zones. Simulation of the PV irrigation system including PV module, pump and irrigation network is carried out using Matlabâ„¢ to predict power output using historical data, and water application rates accordingly. An executive irrigation schedule is also developed utilizing direct weather data from weather station to implement unexpected variation in weather conditions and field water requirements as well.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.urihttps://hdl.handle.net/10217/207087
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofIrrigation Management
dc.relation.ispartofIrrigation and drainage for food, energy and the environment, Salt Lake City, Utah, November 3-6, 2009
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.sourceContained in: Irrigation and drainage for food, energy and the environment, Salt Lake City, Utah, November 3-6, 2009, http://hdl.handle.net/10217/46491
dc.titleAdaptive scheduling algorithm for a PV-powered irrigation system
dc.title.alternativeUSCID fifth international conference
dc.typeText

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