Temporal downscaling of test reference years: Effects on the long-term evaluation of photovoltaic systems

García, Ignacio; Torres, José Luis

doi:10.1016/j.renene.2018.01.108

Cited by 2 publications

(4 citation statements)

References 27 publications

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“…In addition to PV*SOL, this company has other software tools for solar thermal systems (T*SOL) and geothermal solar systems (GeoT*SOL). PV*SOL offers the possibility of configuring different types of PV systems, i.e., stand-alone systems with or without backup generator, grid-connected systems, and grid-connected systems with electrical appliances, which can include battery systems and electric vehicles [38].…”

Section: Pv*solmentioning

confidence: 99%

Photovoltaic Prediction Software: Evaluation with Real Data from Northern Spain

et al. 2021

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Prediction of energy production is crucial for the design and installation of PV plants. In this study, five free and commercial software tools to predict photovoltaic energy production are evaluated: RETScreen, Solar Advisor Model (SAM), PVGIS, PVSyst, and PV*SOL. The evaluation involves a comparison of monthly and annually predicted data on energy supplied to the national grid with real field data collected from three real PV plants. All the systems, located in Castile and Leon (Spain), have three different tilting systems: fixed mounting, horizontal-axis tracking, and dual-axis tracking. The last 12 years of operating data, from 2008 to 2020, are used in the evaluation. Although the commercial software tools were easier to use and their installations could be described in detail, their results were not appreciably superior. In annual global terms, the results hid poor estimations throughout the year, where overestimations were compensated by underestimated results. This fact was reflected in the monthly results: the software yielded overestimates during the colder months, while the models showed better estimates during the warmer months. In most studies, the deviation was below 10% when the annual results were analyzed. The accuracy of the software was also reduced when the complexity of the dual-axis solar tracking systems replaced the fixed installation.

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Section: Pv*solmentioning

confidence: 99%

Photovoltaic Prediction Software: Evaluation with Real Data from Northern Spain

et al. 2021

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“…As noted in the last step of the general procedure, each TIY generated is compared with the long-term daylight data series using 8 metrics. Six of them (F1 to F6) are proposed by Gazela and Mathioulakis (2001) and the last two (F7 and F8) by García and Torres (2018). Indicator F1 obtained from Equation ( 6) is the root mean square difference of the yearly illuminance.…”

Section: 𝑗 Umentioning

confidence: 99%

“…An opposite case is represented by the so-called short reference years (SRY) (Feuermann et al, 1985;Lund, 1984;Petrie and McClintock, 1978), which propose the selection of a series of meteorological data shorter than one year. More recently, García and Torres (2018) proposed a temporal downscaling of the typical periods selected by 6 different procedures for TRY generation. As a result, in this case, the construction of a TRY is proposed from the concatenation of 365 typical days.…”

Section: Introductionmentioning

confidence: 99%

“…In this case, the use of global horizontal illuminance is proposed to obtain the typical global illuminance year (TGIY) and the use of diffuse horizontal illuminance for the construction of the typical diffuse illuminance year (TDIY). Likewise, two variants of the procedure are proposed: one oriented to the selection of 12 TMMs and another designed for the selection of 365 typical days according to the temporal downscaling of the typical periods proposed by García and Torres (2018). For the generation of these TIYs, a 27year data series registered at the Vaulx-en-Velin station (France) has been employed.…”

Section: Introductionmentioning

confidence: 99%

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