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We would like to invite you to come and see the posters at our upcoming conference. The posters will showcase a diverse range of research topics, and will give delegates an opportunity to engage with the authors and learn more about their work. Whether you are a seasoned researcher or simply curious about the latest developments in your field, we believe that the posters will offer something of interest to everyone. So please join us at the conference and take advantage of this opportunity to learn and engage with your peers in industry and the academic community.
On 9 April at 17:15, we’ll also hold the main poster session and distinguish the 7 best posters of this year’s edition with our traditional Poster Awards Ceremony. Join us at the poster area to cheer and meet the laureates, and enjoy some drinks with all poster presenters!
We look forward to seeing you there!
PO130: New year, new problem: The definition of a year can impact a project's preconstruction value
Billy Keegan, Analyst, Analysis Services, K2 Management
Abstract
Wind Speed Inter-Annual-Variability (IAV) is a key component of long-term energy yield analysis. IAV magnitude can have a significant impact on the P90 energy value which is standardly used in project financing. So, incorrectly specifying this value could lead to nasty surprises in financing and later when the wind farm is operating. Despite the significance and complexity of IAV, it is common for generalised values or relatively simplistic calculations using a single reference source or reanalysis data node to be applied. This introduces the possibility of significant error. Traditionally, IAV has been calculated from annual mean wind speeds where the annual period is defined by a calendar year (January to December). This investigation shows that a different specification of the annual period, for example July to June, can produce significant variation of the IAV value produced. Here we present a large-scale investigation of this observation using consistent ground-based measurement data from locations across the globe to assess the impact of the definition of the annual period on the calculated value of wind speed IAV. Across the data considered the definition of annual period results in an average IAV value variation of 1.0% and up to 3.0% in the most extreme case considered. Insight is provided into how certain climates and geographical locations are more sensitive to the definition of annual period. A 1.0% change in wind speed IAV can have material implications for the finances of some wind farm projects. Current industry best practice does not sufficiently account for the impact of this effect so there is a need for a higher fidelity approach. The volume of worldwide data used in the analysis provides a high degree of confidence in the observations shown.
No recording available for this poster.