Page 107 - Fluid Power Engineering
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W i nd Measurement    85




                       Relative wind speed  0.985
                          1.0







                         0.97
                                    90     180      270     360
                                        Wind direction
              FIGURE 6-8 Conceptual graph of wind speed measurements using an
              anemometer on a monopole with a boom length of five times the diameter of
              the pole. The anemometer is mounted on a boom pointing in the east
                       ◦
              direction (90 ).

              Impact of Inflow Angle
              Airflow is not always in the horizontal plane. The component of ve-
              locity in the horizontal plane is:

                                 v horizontal = v total . cos α

              whereα istheinflowangle,theangleofthevelocityvectorwithrespect
              to the horizontal plane. The actual wind measurement compared to
              theoretical wind speed is compared in Fig. 6-9.
                 When the inflow angle is greater than a few degrees, then signifi-
              cant deviations occur as shown in the Class B column of Table 6-2. At
              higher tilt angles, the wind speed is usually overestimated.

              Impact of Temperature
              The other parameter that can cause deviation in measurement is tem-
              perature. The response depends on the type of bearing. In greased
              bearings, friction increases because of higher viscosity at lower tem-
              peratures (below 0 C). In sliding bearing, the friction increases as tem-
                             ◦
                                     ◦
              perature increases (above 40 C). The additional friction slows down
              the rotor of the anemometer.

              Uncertainty in Wind Speed Measurement with Anemometers
              In any measurement endeavor, it is important to understand the ac-
              curacy of measurement and reasons for uncertainties. There are two
              types of uncertainties: Random and systematic (or bias). Random er-
              rors are because of the variability in the quantity that is measured or
              variability in the measurement process. Random errors are assumed
              to be normally distributed around the “true” value and repeated
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