Page 196 - Fluid Power Engineering
P. 196

168   Chapter Eight


                    Based on measurements at multiple heights and in which the

                    highest anemometer is close to planned hub height, and not
                    based on lower height measurements
                 Nonbankable resource estimate is a preliminary assessment of
              wind conditions normally used during prospecting for wind sites. It is
              normally the first stage of resource estimation when not all the uncer-
              tainties in wind conditions are completely understood or completely
              quantified and, therefore, the return on investment has a high degree
              of uncertainty. Nonbankable resource estimates may be sufficient for
              self-financed small and micro wind projects.


        References
              1. Nielsen, Per. WindPRO 2.5 Users Guide, EMD International, Aalborg,
                Denmark, 2006.
              2. Mortensen,N.G.,Bowen,A.J.,andAntoniou,I.ImprovingWAsPPredictions
                in (too) Complex Terrain, EWEC, Athens, 2006.
              3. WAsP. Wake Effect Model. WAsP [Online] 2007. http://www.wasp.dk/
                Products/WAsP/WakeEffectModel.html.
              4. Nielsen, M., Jørgensen, H. E., and Frandsen, S. T. Wind and Wake Mod-
                els for IEC 61400-1 Site Assessment, EWEC, Marceille, 2009. http://www.
                ewec2009proceedings.info/allfiles2/529 EWEC2009presentation.pdf.
              5. International Electrotechnical Commission. Wind Turbine Part 1 Design Re-
                quirements, International Electrotechnical Commission, Geneva, 2005. IEC
                61400-1 Edition 3.
              6. Schlez, W., and Tindal, A. Wind farm siting and layout design [Online] Gar-
                rad Hassan and Partners, Ltd. http://www.wwindea.org/technology/
                ch02/en/2 4 2.html.
              7. VanLuvanee, D., Rogers, T., Randall, G., Williamson, A., and Miller, T. Com-
                parison of WAsP, MS-Micro/3, CFD, NWP, and Analytical Methods for Estimat-
                ing Site-Wide Wind Speeds, AWEA Wind Resource Assessment Workshop,
                Minneapolis, MN, 2009.
              8. Siddabathini, S., and Sorensen, T. Uncertainty of Long Term Correction of
                Wind Speed: The Importance of Consistency of Data, EWEC, Marseille, 2009.
              9. Derrick, A., Uncertainty, the Classical Approach. AWEA Wind Resource As-
                sessment Workshop, Minnesota, MN, 2009.
              10. Burton, T. Sharpe, D., Jenkins, N., and E. Bossanyi, E. Wind Energy Hand-
                book, Wiley, Hoboken, NJ, 2001.
              11. DNV/Risoe. Guidelines for Design of Wind Turbines, Det Norske Veritas and
                Risø National Laboratory, Copenhagen, 2002.
   191   192   193   194   195   196   197   198   199   200   201