Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Garrett H. Good"'
Publikováno v:
Geoscientific model development 16(3), 1083-1104 (2023). doi:10.5194/gmd-16-1083-2023
Geoscientific model development discussions (2022). doi:10.5194/gmd-2022-118
Geoscientific model development discussions (2022). doi:10.5194/gmd-2022-118
We present the largest sensitivity study to date for cloud cover using the Weather Forecasting and Research model (WRF V3.7.1) on the European domain. The experiments utilize the meteorological part of a large-ensemble framework, ESIAS-met (Ensemble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e4a9f9cfbe74ce9039d011fc049940c
https://gmd.copernicus.org/preprints/gmd-2022-118/
https://gmd.copernicus.org/preprints/gmd-2022-118/
Publikováno v:
Solar Energy
Solar Energy, Elsevier, 2017, 147, pp.257-276. ⟨10.1016/j.solener.2017.03.007⟩
Solar Energy, Elsevier, 2017, 147, pp.257-276. ⟨10.1016/j.solener.2017.03.007⟩
International audience; Forecasting the total photovoltaic (PV) power generated in the control areas of the transmission system operators (TSO) is an important step in the integration of the large amounts of PV energy into the German electricity supp
Publikováno v:
Solar Energy. 135:536-550
The estimation of the regional photovoltaic (PV) power generation is an important step prior to the forecast of the PV power generation and its integration into the energy supply system. The large majority of PV plants not being measured in Germany,
Autor:
Garrett H. Good, Stefan Bofinger, Yves-Marie Saint-Drenan, Rafael Fritz, Stephan Vogt, J. Dobschinski
Publikováno v:
Solar Energy. 120:479-493
The aim of this work is to develop an algorithm that can utilize historical PV power measurements to establish the parameters of a physical model for power production. The chosen approach consists in evaluating the parameters of a PV model that maxim