Page 338 - Fluid Power Engineering
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298   Chapter Thirteen


              selections are not necessarily the best. The choices may lead to a large
              number of permutations and combinations and a spreadsheet-based
              sensitivity analysis combined with wind analysis software can help
              to make appropriate decisions.

                    Wind speed. When making decisions about selecting among

                    competing sites, small differences (10% or less) in average
                    annual wind speed should not lead to automatic decision of
                    selecting site with higher wind speed. An extreme example is
                    used to illustrate this: Site A has a steady wind speed of 6 m/s.
                    Site B has an average wind speed of 5.5 m/s with a step profile:
                    3.0 m/s 50% of the time and 8 m/s 50% of the time. Power
                    curvesofmostturbineswillyieldmorethandoubletheenergy
                    at 8 compared to 6 m/s. As this illustrates the same amount of
                    energy is produced annually, even though the average wind
                    speed is different; therefore, annual energy production should
                    be computed and used for comparing sites.
                    Higher elevation. Sites at higher elevation tend to have higher

                    wind speed, for example, a mountaintop. Sites with higher el-
                    evation will have lower air density and, in most cases, higher
                    turbulence because of mountainous terrain. Both these fac-
                    tors lead to lower energy production. In addition, the total in-
                    stalled cost is also likely to be higher because of lack of roads
                    and infrastructure, which will lead to higher transportation,
                    turbine installation, and utility interconnection costs. An en-
                    ergy production model that takes into account air density and
                    turbulence coupled with a realistic cost estimation model is
                    required to compare the scenarios.
                    Tower height. Taller towers experience stronger winds (func-

                    tion of shear) and, therefore, higher energy production. Taller
                    towers also result in higher project cost because: Cost of tower
                    itself, cost of cranes to install, and cost of foundation to sup-
                    port the heavier tower. Project specific analysis can provide
                    the appropriate tradeoff. As an example, consider a compari-
                    son of 80- versus 100-m tower.
                      From a cost standpoint: (a) Tower cost is approximately

                      50% higher, (b) other costs like transportation cost, crane
                      cost, and foundation costs are likely to be 1.5−2 times. From
                      Table 13-1, the cost of tower is 11.6% of total installed cost;
                      total transportation cost is 8%, assume 25% is related to
                      tower transportation; construction cost is about 11%, as-
                      sume 25% is related to tower. Therefore, the total cost im-
                      pacted is about 16%. For a 2.5 MW turbine at $2,000/KW
                      the impacted cost is $800,000. If 80-m tower is replaced with
                      100-m tower, the cost is likely to increase by $360,000.
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