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  4. KliWiSt - Predicting future wind speeds based on climate model data and MCP methods
 
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June 10, 2024
Presentation
Title

KliWiSt - Predicting future wind speeds based on climate model data and MCP methods

Title Supplement
Presentation held at EAWE PhD-Seminar 2024, September 24-26, 2024, Visby, Sweden
Abstract
▪ State-of-the-Art (TR6-Rev.10): Assumption of persistence of past wind climate (+ maybe additional uncertainty) ▪ Still valid? ▪ Timing of energy production (e.g. by time of day and season) becomes more crucial ▪ How to improve? ▪ Include future climate information in wind resource assessment ▪ Perform time series analysis in addition to mean values → Data based uncertainty estimation → Analysis of seasons and time of day possible Motivation High resolution time series-based analysis Copernicus Interactive Climate Atlas
Author(s)
Borowski, Sarah
Fraunhofer-Institut für Angewandte Polymerforschung IAP  
Schwegmann, Sandra
Fraunhofer-Institut für Windenergiesysteme IWES  
Dörenkämper, Martin  
Fraunhofer-Institut für Windenergiesysteme IWES  
Project(s)
Der Einfluss des Klimawandels auf die Windenergie-Standortbewertung  
Funder
Bundesministerium für Wirtschaft und Klimaschutz  
Conference
European Academy of Wind Energy (EAWE PhD Seminar) 2024  
Open Access
DOI
10.24406/publica-3897
File(s)
Vortrag_Predicting future wind speeds with MPC Modells.pdf (1.36 MB)
Rights
CC BY-ND 4.0: Creative Commons Attribution-NoDerivatives
Language
English
Fraunhofer-Institut für Windenergiesysteme IWES  
Fraunhofer-Institut für Angewandte Polymerforschung IAP  
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