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Review and extension of suitability assessment indicators of weather model output for analyzing decentralized energy systems

Schermeyer, H.; Bertsch, V.; Fichtner, W.

Abstract: Electricity from renewable energy sources (RES-E) is gaining more and more influence in traditional energy and electricity markets in Europe and around the world. When modeling RES-E feed-in on a high temporal and spatial resolution, energy systems analysts frequently use data generated by numerical weather models as input since there is no spatial inclusive and comprehensive measurement data available. However, the suitability of such model data depends on the research questions at hand and should be inspected individually. This paper focuses on new methodologies to carry out a performance evaluation of solar irradiation data provided by a numerical weather model when investigating photovoltaic feed-in and effects on the electricity grid. Suitable approaches of time series analysis are researched from literature and applied to both model and measurement data. The findings and limits of these approaches are illustrated and a new set of validation indicators is presented. These novel indicators complement the assessment by measuring relevant key figures in energy systems analysis: e.g., gradients in energy supply, maximum values and volatility. Thus, the results of this paper contribute to the scientific community of energy systems analysts and researchers who aim at modeling RES-E feed-in on a high temporal and spatial resolution using weather model data. © 2015 by the authors.


Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Jahr 2015
Sprache Englisch
Identifikator DOI: 10.3390/atmos6121835
ISSN: 2073-4433
URN: urn:nbn:de:swb:90-525253
KITopen ID: 1000052525
HGF-Programm 37.06.01; LK 01
Erschienen in Atmosphere
Band 6
Heft 12
Seiten 1871-1888
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
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