Published June 16, 2014 | Version v1
Journal article

IEA-Task 31 WAKEBENCH: Towards a protocol for wind farm flow model evaluation. Part 2: Wind farm wake models

  • 1. NREL National Renewable Energy Laboratory (United States)
  • 2. CENER National Renewable Energy Centre (United Kingdom)
  • 3. Univeristy of Wyoming (United States)
  • 4. DTU-Wind Technical University of Denmark (Denmark)
  • 5. Vattenfall (Sweden)
  • 6. University of Perugia (Italy)
  • 7. Sorgenia Green (Italy)
  • 8. Uppsala University (Sweden)
  • 9. Wind Energy Institute of Tokyo (Japan)

Description

Researchers within the International Energy Agency (IEA) Task 31: Wakebench have created a framework for the evaluation of wind farm flow models operating at the microscale level. The framework consists of a model evaluation protocol integrated with a web-based portal for model benchmarking (www.windbench.net). This paper provides an overview of the building-block validation approach applied to wind farm wake models, including best practices for the benchmarking and data processing procedures for validation datasets from wind farm SCADA and meteorological databases. A hierarchy of test cases has been proposed for wake model evaluation, from similarity theory of the axisymmetric wake and idealized infinite wind farm, to single-wake wind tunnel (UMN-EPFL) and field experiments (Sexbierum), to wind farm arrays in offshore (Horns Rev, Lillgrund) and complex terrain conditions (San Gregorio). A summary of results from the axisymmetric wake, Sexbierum, Horns Rev and Lillgrund benchmarks are used to discuss the state-of-the-art of wake model validation and highlight the most relevant issues for future development

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/524/1/012185

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
524
Journal Issue
1
Journal Page Range
[11 p.]
ISSN
1742-6596

Conference

Title
5. science of making torque from wind conference 2014
Acronym
TORQUE2014
Dates
18-20 Jun 2014
Place
Copenhagen (Denmark)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46083024
Subject category
S17: WIND ENERGY;
Resource subtype / Literary indicator
Conference
Descriptors DEI
AXIAL SYMMETRY; BENCHMARKS; DATA PROCESSING; EVALUATION; FLOW MODELS; GAS FLOW; INTERNATIONAL ENERGY AGENCY; METEOROLOGY; VALIDATION; WIND POWER; WIND POWER PLANTS; WIND TUNNELS; WIND TURBINE ARRAYS
Descriptors DEC
ENERGY SOURCES; EQUIPMENT; FLUID FLOW; INTERNATIONAL ORGANIZATIONS; MATHEMATICAL MODELS; POWER; POWER PLANTS; PROCESSING; RENEWABLE ENERGY SOURCES; SYMMETRY; TESTING