Journal
ENERGIES
Volume 9, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/en9050352
Keywords
capacity factor; cost of energy; turbine selection; wind farm layout optimization; wind map
Categories
Funding
- National Science Foundation [CMMI-1100948, CMMI-1437746]
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [1642340] Funding Source: National Science Foundation
Ask authors/readers for more resources
The suitability of turbine configurations to different wind resources has been traditionally restricted to considering turbines operating as standalone entities. In this paper, a framework is thus developed to investigate turbine suitability in terms of the minimum cost of energy offered when operating as a group of optimally-micro-sited turbines. The four major steps include: (i) characterizing the geographical variation of wind regimes in the onshore U.S. market; (ii) determining the best performing turbines for different wind regimes through wind farm layout optimization; (iii) developing a metric to quantify the expected market suitability of available turbine configurations; and (iv) exploring the best tradeoffs between the cost and capacity factor yielded by these turbines. One hundred thirty one types of commercial turbines offered by major global manufacturers in 2012 are considered for selection. It is found that, in general, higher rated power turbines with medium tower heights are the most favored. Interestingly, further analysis showed that rotor diameter/hub height ratios greater than 1.1 are the least attractive for any of the wind classes. It is also observed that although the cost-capacity factor tradeoff curve expectedly shifted towards higher capacity factors with increasing wind class, the trend of the tradeoff curve remained practically similar.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available