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330                        CONCEPTUAL DESIGN OF HORIZONTAL-AXIS TURBINES


          6.2.1 Cost modelling

          The sensitivity of the cost of energy to changes in the values of parameters
          governing turbine design can be examined with the aid of a model of the way
          component costs vary in response. The normal procedure is to start with a baseline
          design, for which the costs of the various components are known. In a rigorous
          analysis, the chosen parameter is then assigned a different value and a fresh design
          developed, leading to revised component weights, based on which new component
          costs can be assigned.
            In general, the cost of a component will not simply increase pro rata with its mass,
          but will contain elements that increase more slowly. An example is the tower
          surface protective coating , the cost of which increases approximately as the square
          of the tower height, if all dimensions are proportional to this height. If the design
          parameter variation considered is only about þ/ 50 percent, it is usually suffi-
          ciently accurate to represent the relationship between component cost and mass as
          a linear one with a fixed component:

                                              m(x)
                                  C(x) ¼ C B ì     þ (1   ì)                    (6:1)
                                               m B

          where C(x) and m(x) are the cost and mass of the component respectively when the
          design parameter takes the value x, and C B and m B are the baseline values; ì is the
          proportion of the cost that varies with mass, which will obviously differ for differ-
          ent baseline machine sizes.
            The choice of the value of ì inevitably requires considerable expertise as regards
          the way manufacturing costs vary with scale, which may be limited in the case of
          products at the early stage of development. In view of this, the effort of developing
          fresh designs for different design parameter values may well not be justified, so
          resort is often made to scaling ratios based on similarity relationships. This
          approach is adopted in the investigation of optimum machine size which follows.


          6.2.2 Simplified cost model for machine size optimization—an
                 illustration

          The baseline machine design is taken as a 60 m diameter, 1.5 MW turbine, with the
          costs of the various components taken from Fuglsang and Thomsen (1998). These
          are given in Table 6.1 as a percentage of the total.
            Machine designs for other diameters are obtained by scaling all dimensions of all
          components in the same proportion, except in the case of the gearbox, generator,
          grid connection and controller. Rotational speed is kept inversely proportional to
          rotor diameter to maintain constant tip speed, and hence constant tip speed ratio at
          a given wind speed. As a result, all machine designs reach rated power at the same
          wind speed, so that rated power is proportional to diameter squared. Consequently
          the low-speed shaft torque increases as diameter cubed, which is the basis for
          assuming the gearbox mass increases as the cube of rotor diameter, even though the
          gearbox ratio changes. Hence, if a blanket value of ì of 0.9 is adopted for simplicity,
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