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Atmosphere 2015, 6(12), 1871-1888; doi:10.3390/atmos6121835

Review and Extension of Suitability Assessment Indicators of Weather Model Output for Analyzing Decentralized Energy Systems

Institute for Industrial Production (IIP), Karlsruhe Institute for Technology (KIT), Karlsruhe, Germany
This paper is based on a conference contribution by the same authors at the 7th International Scientific Conference on Energy and Climate Change (2014, Athens).
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Author to whom correspondence should be addressed.
Academic Editor: John Boland
Received: 2 October 2015 / Revised: 23 November 2015 / Accepted: 24 November 2015 / Published: 3 December 2015
(This article belongs to the Special Issue Climate Variable Forecasting)
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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. View Full-Text
Keywords: energy systems analysis; decentralization; solar irradiation; weather data energy systems analysis; decentralization; solar irradiation; weather data
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Schermeyer, H.; Bertsch, V.; Fichtner, W. Review and Extension of Suitability Assessment Indicators of Weather Model Output for Analyzing Decentralized Energy Systems. Atmosphere 2015, 6, 1871-1888.

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