2020
DOI: 10.36688/imej.3.1-10
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Model for evaluating the electric power output of Pressure Retarded Osmosis generation plants

Abstract: In this work a mathematical model is assembled to evaluate the electric complex power and electric current output of pressure retarded osmosis (PRO)- based generation plants. Unlike other works already reported in the literature, the assembled model allows performing that evaluation in the abc reference frame based on the salinity concentrations of the salty and fresh water bodies entering the membrane modules and the phasor voltages at the terminals of the generation plant. The induction generator is selected… Show more

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Cited by 2 publications
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“…The coefficients of (65) are given by (66). The general guidelines to Formulates (65) and (66) are given in [19]. The solution of (65) for R L1 is directly obtained from (67), which yields the values R L1a and R L1b .…”
Section: Model Of the Electric Generatormentioning
confidence: 99%
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“…The coefficients of (65) are given by (66). The general guidelines to Formulates (65) and (66) are given in [19]. The solution of (65) for R L1 is directly obtained from (67), which yields the values R L1a and R L1b .…”
Section: Model Of the Electric Generatormentioning
confidence: 99%
“…Bearing in mind the expectations for integrating PRO power units as DG and the importance of the power flow analysis for the planning and operation of distribution systems, this paper comprehensively addresses the modelling of PRO power units into the power flow analysis of three-phase radial distribution networks. For this purpose, the model of PRO power units reported in [19], assembled by authors of the present work from the basic principles to estimate electric power production [2,20], is adapted and embedded within the formulation of the power flow problem of distribution networks reported in [21]. The resulting power flow problem considering embedded PRO units is directly solved by using the forward-backward sweep (FBS) method [21].…”
Section: Introductionmentioning
confidence: 99%
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