Simulation of transcontinental wind and solar PV generation time series

Abstract

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Using time series simulation tools for assessing the effects of variable renewable energy generation on power and energy systems

“…As has been shown in González‐Aparicio et al (), Nuño et al () and Staffell and Pfenninger (), using meteorological reanalysis wind speeds directly can cause significant errors in capacity factors. To correct for this, historical capacity factor data can be used to calibrate wind speeds in CorRES.…”

“…The application of WRF reanalysis data in large‐scale wind and solar PV generation simulation has been shown, for example, in Marinelli et al (), Nuño et al (), Nuño and Cutululis (). Although they show a good fit to historical data in terms of spatial and temporal dependencies, further calibration is carried out in terms of capacity factors.…”

“…For the study of future scenarios, the models need to be applicable to a changing geographical distribution and technological development of installations. VRE generation time series for future scenarios can be generated using stochastic time series simulation (Ekström, Koivisto, Mellin, Millar, & Lehtonen, ; Klöckl & Papaefthymiou, ; Koivisto et al, ), or meteorological reanalysis techniques (i.e., using historical weather data) (González‐Aparicio et al, ; Marinelli et al, ; Nuño et al, ; Staffell & Pfenninger, ). Such VRE generation simulation tools can be used, for example, in the estimation of adequacy of reserves in power systems (Das et al, ), in stability analyses (Flynn et al, ), in long‐term transmission system planning (Marinelli et al, ), and in electricity market studies (Traber, Koduvere, & Koivisto, ).…”

Europe's offshore winds assessed with synthetic aperture radar, ASCAT and WRF

“…Previous investigations show that applying a long-term stability correction is superior to a neutral logarithmic wind profile in the Baltic Sea (Badger et al, 2016) and in the North Sea (Karagali et al, 2018a). For the NEWA offshore wind atlas, the extrapolation is performed similarly to Karagali et al (2018a, b) using 10 years of WRF model simulations from Nuño Martinez et al (2018) for the long-term stability correction.…”

“…Recently, new technological advancements have provided opportunities for horizontal spatial data comparison, e.g. the dual Doppler radar (Nygaard and Newcombe, 2018;Valldecabres et al, 2018). Three other spatial data types are horizontally scanning lidar, long rows of turbines providing SCADA (supervisory control and data acquisition) data and ship-mounted vertical profiling lidar.…”