The role of air density in wind energy assessment – A case study from Germany
Christopher Jung and
Dirk Schindler
Energy, 2019, vol. 171, issue C, 385-392
Abstract:
The statistical air density distribution was modeled on a high-spatial resolution scale (200 m × 200 m) and the error by using constant standard air density was estimated using Germany as study area. Daily mean air temperature and air pressure time series of 144 meteorological measuring stations operated in the period 1979–2014 were used to calculate air density in the very common hub height for newly installed wind turbines of 140 m. The parameters of the statistical air density distributions were mapped for the whole of Germany. By applying a 2.4 MW power curve and the wind speed-wind shear model, study area-wide annual energy yield was calculated assuming constant standard air density and using the modeled air density distributions. The results from the comparison of the energy yields demonstrate that the total area with energy yield >7.0 GWh/yr is slightly smaller (0.7%) when air density is considered to be variable. Based on the results of this study, the influence of air density on the wind energy yield of low elevation coastal sites and high elevation mountain sites can now be quantified in the study area. This will contribute to a more efficient use of the wind resource.
Keywords: Air density; Wakeby distribution; WSWS; Power curve; Wind turbines; Germany (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S036054421930043X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:171:y:2019:i:c:p:385-392
DOI: 10.1016/j.energy.2019.01.041
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().