Kids Library Home

Welcome to the Kids' Library!

Search for books, movies, music, magazines, and more.

     
Available items only
Print Material
Author Lee, Joseph C. Y. (Joseph Cheuk Yi), author.

Title The Power Curve Working Group’s assessment of wind turbine power performance prediction methods / Joseph C. Y. Lee [and eight others].

Publication Info. [Golden, Colorado] : National Renewable Energy Laboratory, 2019.

Copies

Description 1 online resource (1 page) : color illustrations.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series NREL/PO ; 5000-74924
NREL/PO ; 5000-74924.
Note "American Wind Energy Association, Wind Resource and Project, Energy Assessment Conference, Renton, Washington, September 10–11, 2019."
"Funding was provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy, Wind Energy Technologies Office."
Funding DE-AC36-08GO28308
Note Description based on online resource, PDF version; title from caption (NREL, viewed July 16, 2019).
Summary A wind turbine power curve is often only strictly valid for a subset of all atmospheric conditions (i.e., the inner range), while wind turbines also operate in other scenarios (i.e., the outer range). Hence, modeling the power output in real-world conditions is a fundamental challenge. For example, the power deviation matrix (PDM) in Figure 1 displays an overprediction of power production using a reference power curve when wind speed (WS) and turbulence intensity (TI) are both low. Many experts use the PDM approach to observe any systematic bias in power curves and correct this in energy yield models. The mission of the Power Curve Working Group (PCWG) is to bring together wind industry stakeholders to help identify, validate, and develop ways to improve modeling of wind turbine performance in all atmospheric conditions.
Subject Wind turbines -- Evaluation.
Wind energy conversion systems -- Evaluation.
Wind power.
Electric power production.
Éoliennes -- Évaluation.
Systèmes de conversion de l'énergie éolienne -- Évaluation.
Énergie éolienne.
Électricité -- Production.
wind power.
electric power production.
Electric power production (OCoLC)fst00905475
Wind power (OCoLC)fst01175627
Indexed Term energy yield model
power-curve modeling
turbines
wind energy
Added Author National Renewable Energy Laboratory (U.S.), issuing body.
United States. Department of Energy. Wind Energy Technologies Office, sponsoring body.
American Wind Energy Association.
Standard No. 1580498 OSTI ID
0000-0003-1897-6290
0000-0003-1571-1887
Gpo Item No. 0430-P-17 (online)
Sudoc No. E 9.28:NREL/PO-5000-74924

 
    
Available items only