An Open Science Approach for Wind Energy V&V: The GABLS3 Case Study

The Windbench portal for wind energy verification and validation (V&V) repositories is being redesigned,;using an Open Science approach, with the objective of improving data openness and reproducibility of research.;Windbench manages V&V benchmarking by allowing researchers to meet online and share their data for model;intercomparison. The portal follows the IEA Task 31 "Wakebench" model evaluation protocol 2 for wind farm;flow modelling based on a building-block validation approach that allows to systematically evaluate the wind;farm multi-scale system by decomposing it in a number of sub-system and unitary building blocks of increasingcomplexity.The new portal integrates Jupyter notebooks in the cloud to allow researchers run their scripts for post-processing and model evaluation using their own data or data shared by other benchmark participants. These;notebooks allow researchers to create and share documents that contain text, equations and visualization of;results together with the code that generates these results. This improves reproducibility and provides better;means for the community to adopt model evaluation standards by reusing contributions from previous;benchmarks in terms of, for instance, data filtering and post-processing scripts, error metrics, visualization tools,etc.The GABLS3 diurnal cycle benchmark 3,4 for mesoscale to microscale atmospheric boundary layer models is;used as case study to demonstrate the benefits of the open science approach in the Wakebench V&V framework.;The benchmark has been organized within the New European Wind Atlas (NEWA) project to help microscale;model developers implement solutions for introducing mesoscale forcings (that could be extracted from a wind;atlas). The case is also used to explain how V&V benchmarks contribute to open source community models like;CFDWind 3.0, based on OpenFOAM and developed for the NEWA model-chain.

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Polje Vrijednost
Izvor https://zenodo.org/records/1194765
Verzija 1.0
Autor Javier Sanz Rodrigo,Pawel Gancarski,Roberto Aurelio Chávez Arroyo
Održava Javier Sanz Rodrigo,Pawel Gancarski,Roberto Aurelio Chávez Arroyo
E-mail održavatelja Javier Sanz Rodrigo,Pawel Gancarski,Roberto Aurelio Chávez Arroyo
Dataset subject wind energy, wind resource assessment, open science, GABLS3, jupyter, validation, windbench, wakebench
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