Evaluation of High Resolution WRF Solar

Jayesh Thaker, Robert Höller

    Research output: Contribution to journalArticlepeer-review

    3 Citations (Scopus)

    Abstract

    The amount of solar irradiation that reaches Earth’s surface is a key quantity of solar energy research and is difficult to predict, because it is directly affected by the changing constituents of the atmosphere. The numerical weather prediction (NWP) model performs computational simulations of the evolution of the entire atmosphere to forecast the future state of the atmosphere based on the current state. The Weather Research and Forecasting (WRF) model is a mesoscale NWP. WRF solar is an augmented feature of WRF, which has been improved and configured specifically for solar energy applications. The aim of this paper is to evaluate the performance of the high resolution WRF solar model and compare the results with the low resolution WRF solar and Global Forecasting System (GFS) models. We investigate the performance of WRF solar for a high-resolution spatial domain of resolution 1 × 1 km and compare the results with a 3 × 3 km domain and GFS. The results show error metrices rMAE {23.14%, 24.51%, 27.75%} and rRMSE {35.69%, 36.04%, 37.32%} for high resolution WRF solar, coarse domain WRF solar and GFS, respectively. This confirms that high resolution WRF solar performs better than coarse domain and in general. WRF solar demonstrates statistically significant improvement over GFS.

    Original languageEnglish
    Article number3518
    Pages (from-to)1-13
    Number of pages13
    JournalEnergies
    Volume16
    Issue number8
    DOIs
    Publication statusPublished - 18 Apr 2023

    Keywords

    • solar radiation
    • GHI
    • solar forecasting
    • NWP
    • GFS
    • WRF

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