Optimization Under Uncertainty of Site-Specific Turbine Configurations
Abstract
Uncertainty affects many aspects of wind energy plant performance and cost. In this study, we explore opportunities for site-specific turbine configuration optimization that accounts for uncertainty in the wind resource. As a demonstration, a simple empirical model for wind plant cost of energy is used in an optimization under uncertainty to examine how different risk appetites affect the optimal selection of a turbine configuration for sites of different wind resource profiles. Lastly, if there is unusually high uncertainty in the site wind resource, the optimal turbine configuration diverges from the deterministic case and a generally more conservative design is obtained with increasing risk aversion on the part of the designer.
- Authors:
-
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Technical Univ. of Denmark, Lyngby (Denmark). Dept. of Wind Energy
- Publication Date:
- Research Org.:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
- OSTI Identifier:
- 1335581
- Report Number(s):
- NREL/JA-5000-67549
Journal ID: ISSN 1742-6588
- Grant/Contract Number:
- AC36-08GO28308
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Physics. Conference Series
- Additional Journal Information:
- Journal Volume: 753; Journal Issue: E; Journal ID: ISSN 1742-6588
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 17 WIND ENERGY; 29 ENERGY PLANNING, POLICY, AND ECONOMY; optimization; uncertainty; decision support; turbine design; wind energy
Citation Formats
Quick, J., Dykes, K., Graf, P., and Zahle, F. Optimization Under Uncertainty of Site-Specific Turbine Configurations. United States: N. p., 2016.
Web. doi:10.1088/1742-6596/753/6/062012.
Quick, J., Dykes, K., Graf, P., & Zahle, F. Optimization Under Uncertainty of Site-Specific Turbine Configurations. United States. https://doi.org/10.1088/1742-6596/753/6/062012
Quick, J., Dykes, K., Graf, P., and Zahle, F. Mon .
"Optimization Under Uncertainty of Site-Specific Turbine Configurations". United States. https://doi.org/10.1088/1742-6596/753/6/062012. https://www.osti.gov/servlets/purl/1335581.
@article{osti_1335581,
title = {Optimization Under Uncertainty of Site-Specific Turbine Configurations},
author = {Quick, J. and Dykes, K. and Graf, P. and Zahle, F.},
abstractNote = {Uncertainty affects many aspects of wind energy plant performance and cost. In this study, we explore opportunities for site-specific turbine configuration optimization that accounts for uncertainty in the wind resource. As a demonstration, a simple empirical model for wind plant cost of energy is used in an optimization under uncertainty to examine how different risk appetites affect the optimal selection of a turbine configuration for sites of different wind resource profiles. Lastly, if there is unusually high uncertainty in the site wind resource, the optimal turbine configuration diverges from the deterministic case and a generally more conservative design is obtained with increasing risk aversion on the part of the designer.},
doi = {10.1088/1742-6596/753/6/062012},
journal = {Journal of Physics. Conference Series},
number = E,
volume = 753,
place = {United States},
year = {Mon Oct 03 00:00:00 EDT 2016},
month = {Mon Oct 03 00:00:00 EDT 2016}
}
Web of Science
Works referenced in this record:
A Review of Methodological Approaches for the Design and Optimization of Wind Farms
journal, October 2014
- Herbert-Acero, José; Probst, Oliver; Réthoré, Pierre-Elouan
- Energies, Vol. 7, Issue 11
Works referencing / citing this record:
Optimization Under Uncertainty for Wake Steering Strategies
journal, May 2017
- Quick, Julian; Annoni, Jennifer; King, Ryan
- Journal of Physics: Conference Series, Vol. 854
Active Subspaces for Wind Plant Surrogate Modeling
conference, January 2018
- King, Ryan; Quick, Julian; Adcock, Christiane
- 2018 Wind Energy Symposium