Schlüsselwörter
(Englisch)
|
Wind energy, complex terrain, modelling, CFD, decision-making
|
Kurzbeschreibung
(Deutsch)
|
Das Ziel dieses Projektes ist es, einen neuen industrierelevanten Prozess für die Auswahl des optimalsten Windmodells mit dem kleinsten Rechenaufwand und Kosten für die genaue Abbildung der Strömungsverhältnisse im komplexen Gelände zu entwickeln. Dieser Prozess soll Modellierern,
beispielsweise bei Windgutachten, eine Entscheidungshilfe bieten, da die Genauigkeit der Simulation einen grossen Einfluss auf die zu erwartende Rentabilität hat.
|
Kurzbeschreibung
(Englisch)
|
The goal of this project is to develop a new industry-relevant process for selecting the wind model that gives the best results with the least computational effort and costs for any given wind energy project, with a focus on complex terrain. This will help modellers decide which model is optimal for
each application, e.g. for wind resource assessments where the wind model accuracy has an enormous effect on the project’s expected rate of return.
|
Schlussbericht
(Englisch)
|
In this work, a new industry-relevant process for selecting the wind model that gives the best results with the least computational effort and costs for any given wind energy project has been developed, with a focus on complex terrain. This will help modellers decide which model is optimal for each application, e.g. for Wind Resource Assessments (WRA) where the wind model accuracy has an enormous effect on the project’s expected rate of return. The final result of the project is the design of a new commercial decision tool, which is being tested as part of the on-going SFOE-funded project "Comparison metrics simulation challenge". In order to achieve this goal, a large number of simulations with different wind modelling tools and WRA workflows have been carried out at four complex terrain wind energy sites, followed by a detailed analysis of the results. The project was carried out by OST and Meteotest in collaboration with the Hochschule Esslingen, who are implementing a separate German-funded project with the same goal at two mutual wind energy sites (Stötten and Enercon). This collaboration has enabled us to develop the modelling and WRA workflow methods together and to compare our results with a wider range of different tools than would otherwise have been possible. The wind modelling tools applied in this project by the research partners include WindPro, WindSim and PALM (Meteotest), Fluent and Palabos LBM (OST), as well as CFX (HSE). The project was split into two main parts: (1) Design of the decision process; (2) Demonstration and validation of the decision process. For part (1), the test site Stötten in Germany was focused on, because data was available to all project partners including Hochschule Esslingen. In this part, WRAs were carried out using different combinations of wind modelling tools and WRA workflows, and the results compared and analysed in detail. Based on this, automated WRA processes were developed for the wind modelling tools used in this project. For Fluent and CFX, this resulted in a library of automated scripts, which enabled the other sites to be efficiently simulated and easily compared to each other. These libraries can be applied in future projects. Following this, a set of parameters (called "Comparison Metrics") for deciding the most optimal wind modelling tool and WRA workflow were developed. This resulted in several publications, a new SFOE-funded project studying the topic in more detail ("Comparison metrics simulation challenge"), as well as a new publicly-available template for estimating the Comparison Metrics. In part (2), three other sites (ewz, Enercon and ADEV) were used to demonstrate and validate the Comparison Metrics parameters and method. This was done by firstly applying the new automated WRA processes to each of these sites and analysing the results. Finally, a comparison and evaluation of all the results at all four sites enabled the new decision tool to be designed, as well as several improvements to the WRA process and to the Comparison Metrics method to be suggested. The decision tool with the suggested improvements will be developed and tested as part of the on-going SFOE-funded project "Comparison metrics simulation challenge".
Zugehörige Dokumente
|
