TAP

Tools Assessing Performance (TAP)

Overview

Accurately predicting performance of distributed wind systems, particularly those with hub heights of 40 m or less, is challenging. Key gaps exist in areas of uncertainty quantification for component reliability, turbine availability, and wind resource, particularly in the area of turbulence and its impact on turbine performance. There is no industry-standardized methodology to document procedures, assumptions, or validation efforts for smaller systems.

Primary Contact(s)

Alice Orrell
Pacific Northwest National Laboratory
Heidi Tinnesand
National Renewable Energy Lab

Objective

Tools Assessing Performance (TAP) is a 4-year, multi-lab project. The objective of TAP is to enable widespread adoption of distributed wind technology by improving wind resource characterization capabilities. Reducing uncertainty in pre-construction turbine performance estimates will reduce perceived risk from the financial community and consumers, subsequently helping to reduce financing costs and increase consumer adoption of distributed wind.

This objective will be accomplished by leveraging U.S. Department of Energy (DOE) national laboratories’ high-performance computing capabilities, data, and expertise to develop a validated distributed wind-specific wind resource dataset, flow modeling tools, and common data and a computational framework. The data and computational framework will allow the distributed wind community to access resource assessment data and modeling capabilities that are needed to perform timely and accurate performance assessments for distributed wind projects at locations across the U.S.


Processed Data Related to Tools Assessing Performance (TAP)

Several datasets collected by the Atmospheric Radiation Measurement (ARM) user facility and the Atmosphere to Electrons (A2e) initiative are relevant to Tools Assessing Performance (TAP) and are linked below. These datasets are particularly relevant for the TAP project because the measurement height range spans the typical hub-height of distributed wind towers and turbines.

Sodar and Lidar Datasets Collected by WFIP2 Project

The datasets listed below were collected by the A2e Wind Forecast Improvement Project 2 (WFIP2) including data from Doppler lidars and sodars. These datasets consist of measurements of wind speed and wind direction with height above the ground.

Lidar Datasets Collected by WFIP2 Project

Sodar Datasets Collected by PNNL and NREL for WFIP2 Project

Lidar Datasets Collected by the ARM Program

The datasets listed below were collected by the ARM program using a Doppler lidar. These datasets consist of measurements of wind speed and wind direction with height above the ground at locations including the Southern Great Plains, North Slope of Alaska, among others.

ARM user facility Data Discovery

Doppler Lidar data
Additional information about ARM lidar datasets

Wind data from Carbon Dioxide Flux Measurements at 60m
Wind data from Carbon Dioxide Flux Measurements at 25m
Additional information about ARM CO2FLX datasets

Details

Project PIs
Heidi Tinnesand, NREL
Alice Orrell, PNNL
Rod Linn, LANL
Rao Kotamarthi, ANL

Starting: FY 2019
Ending: FY 2022

Browse Data

90

Datasets

15.9 K

Files Stored

767.5 GB

Stored