Page 135 - Fluid Power Engineering
P. 135

112   Chapter Seven


                                     Preliminary
                                     Assessment


               Multiple Sources      Acceptable?      Multiple Locs
                 of Wind Data                        Multiple Sensors
                                        YES
                                       Onsite
                                    Measurement
                                                        Multiple
                 Multiple Site         Spatial         Reference
                  Statistics         Extrapolation      Datasets
                                      Long-term
                                      Hindcast
                                    Annual Energy
                                     Production
                  Multiple           Uncertainty        Multiple
                  Turbines            Analysis         Scenarios
                                      Financial
                                      Analysis

                                     Acceptable?

                           STOP                    PROCEED


              FIGURE 7-1 Overall process of Wind Resource Assessment (WRA) and
              financial analysis. The gray boxes are steps in WRA. Inputs to each step are
              indicated.

              alsoinvolvesapreliminaryfinancialassessmenttodetermineifawind
              project is viable. If the site is acceptable, then an onsite wind measure-
              ment campaign is conducted. After wind data has been collected for
              sufficient period, typically one year or more, then a process of detailed
              WRA begins. It begins with spatial extrapolation, in which measured
              data at multiple locations within the project area are used to estimate
              wind speeds over the entire project area. This is extrapolation along
              the spatial dimension.
                 The next step in the detailed WRA is to extrapolate along the tem-
              poral dimension. A process called measure-correlate-predict (MCP)
              is used with multiple reference datasets as input. Reference datasets
              are long-term wind data from a variety of sources like reanalysis
              data from National Center for Atmospheric Research (NCAR), air-
              ports, and others. MCP extrapolates onsite measured data and gen-
              erates a long-term dataset that covers the time period covered by
              the reference dataset. Next, annual energy production (AEP) is com-
              puted with several power production curves from different turbines.
              The last step is to compute uncertainty of AEP, which consolidates the
              uncertainty in each factor that influences AEP.
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