2019
DOI: 10.1016/j.egypro.2019.01.405
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Techno-economic uncertainty quantification and robust design optimization of a directly coupled photovoltaic-electrolyzer system

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Cited by 4 publications
(1 citation statement)
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“…However, during the planning, construction and operation stage of the system, such parameters are subject to real-world uncertainties [3]. To address the effect of these uncertainties on the system performance, Robust Design Optimization (RDO) considers uncertainties on these system parameters and provides robust designs that are least sensitive to these inherent parameter variations [4][5][6]. Despite the clear importance of considering uncertainties in design optimization, its application to accurate renewable energy system models is minimal, as the stochastic evaluation of such complex models becomes computationally intractable when more than a handful of uncertain parameters are considered (>10 parameters) [7].…”
Section: Introductionmentioning
confidence: 99%
“…However, during the planning, construction and operation stage of the system, such parameters are subject to real-world uncertainties [3]. To address the effect of these uncertainties on the system performance, Robust Design Optimization (RDO) considers uncertainties on these system parameters and provides robust designs that are least sensitive to these inherent parameter variations [4][5][6]. Despite the clear importance of considering uncertainties in design optimization, its application to accurate renewable energy system models is minimal, as the stochastic evaluation of such complex models becomes computationally intractable when more than a handful of uncertain parameters are considered (>10 parameters) [7].…”
Section: Introductionmentioning
confidence: 99%