Development of a Model Output Statistic and implementation of an operational solar photovoltaic energy forecast model based in WRF

Porrini, Claudio; Gutierrez, Alejandro; Boezio, Gabriel Cazes; Hermida, Gonzalo; Oroño, Diego; Puppo, Martín

doi:10.1109/isgt-la.2015.7381162

Cited by 3 publications

(3 citation statements)

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“…Finally, the forecast of the photovoltaic energy produced in the solar power plant is calculated using a numerical model of the solar panels employed to harvest this energy. More details on the last two stages can be found in Reference .…”

Section: Wrf Modelmentioning

confidence: 99%

“…We consider the WRF with the current architecture, calculating the radiation in each step of the simulation (3 minutes), as the baseline implementation for assessing the numerical accuracy. The original version of the forecasting tool, which includes the WRF model with the current architecture, has been previously validated with real values of the downward short wave flux at ground surface (SWDOWN) for a 1‐year period …”

Section: Experimental Evaluationmentioning

confidence: 99%

“…The inclusion of solar photovoltaic energy in the electric power generation matrix is recent and represents up to 5% of the total installed power (229 MW out of 4220 MW) . The growth in the use of photovoltaic energy, and the nature of this type of energy, has motivated the development of a software tool to forecast the electrical power injected into the grid generated from this source . This sort of tools can be a crucial assistance in the decision‐making process associated with the management of the electrical grid.…”

Section: Introductionmentioning

confidence: 99%

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An asynchronous computation architecture for enhancing the performance of the Weather Research and Forecasting model

Bayá

Pedemonte

Arce

et al. 2020

Concurrency and Computation

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Summary The Weather Research and Forecasting (WRF) model does not usually show an adequate scalability for small‐sized domains in large computing platforms. With this in mind, we propose a novel asynchronous software architecture for the WRF model that decouples the calculation of the solar radiation from the rest of the model. The experimental evaluation was conducted on real‐world data for forecasting the photovoltaic energy fed into the electrical grid of Uruguay by twelve solar power plants. The experimental results show that the proposed architecture can make a better use of the hardware resources available on the computing platform, reducing the total runtime of the WRF while maintaining the numerical accuracy.

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Section: Wrf Modelmentioning

confidence: 99%

Section: Experimental Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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