EconPapers    
Economics at your fingertips  
 

Measurement of Risk for Wind Energy Projects: A Critical Analysis of Full Load Hours

André Koukal (), Stefan Lange () and Michael Breitner ()
Additional contact information
André Koukal: Leibniz Universität Hannover
Stefan Lange: Leibniz Universität Hannover

A chapter in Operations Research Proceedings 2013, 2014, pp 255-261 from Springer

Abstract: Abstract In scientific literature, profitability analyses of on- and offshore wind energy projects and assessments of general conditions for such projects usually make use of the full load hours (FLH) key figure to determine the annually produced energy. They also serve for the calculation of the project value and other financial key figures. This procedure leads to accurate results if only the expected value of each parameter is taken into account. However, it is difficult to choose an adequate type of distribution and to define suitable distribution parameters for the FLH when project risks are considered. In this paper, a different approach using the more basic parameter of the average wind speed and a Weibull distribution in combination with the technical availability and other discounts is provided. It aims at estimating the annual electricity generation by simultaneously taking uncertainties into account. This approach is integrated into a discounted cash flow (DCF) model on which a Monte Carlo simulation is applied. Finally, a case study for a fictitious offshore wind park in the German North Sea is conducted. It is shown that the application of the presented approach leads to more precise distributions of the outcomes than the standard analysis with FLH.

Keywords: Full Load Hours (FLH); Offshore Wind Parks; Technical Availability; Wind Energy Plants; Project Value (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:oprchp:978-3-319-07001-8_35

Ordering information: This item can be ordered from
http://www.springer.com/9783319070018

DOI: 10.1007/978-3-319-07001-8_35

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:oprchp:978-3-319-07001-8_35