Wind Engineering Module 6.1: Cost and Weight Models
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Wind Engineering Module 6.1: Cost and Weight Models. Lakshmi N. Sankar lsankar@ae.gatech.edu. Overview. In this module, we will briefly examine models for estimating the cost of energy (in cents per KWhr) that the operator needs to charge. We will look at two approaches
Wind Engineering Module 6.1: Cost and Weight Models
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Wind EngineeringModule 6.1: Cost and Weight Models Lakshmi N. Sankar lsankar@ae.gatech.edu
Overview • In this module, we will briefly examine models for estimating the cost of energy (in cents per KWhr) that the operator needs to charge. • We will look at two approaches • Engineering models based on weight and cost (This module 6.1) • Models suitable for hybrid power systems (Module 6.2)
Some Definitions • Debt: Money the operator borrows to finance a wind turbine project • Interest on debt: Interest charged per year by finance institution (expressed in percentage) • Equity: Funds the operator raises by issuing stocks • Return on equity: Return the share-holders expect on their investments (expressed in percentage per $1 invested).
Definitions, continued.. • AWCC: Average weighted cost of capital • Example: • 20% equity • 13% return on equity • 80% loan • 6.94% interest on loan • AWCC for this example is (0.20*13+0.80*6.94) = 8.15%=0.0815 • Inflation-adjusted AWCC = (AWCC-Inflation)/(1+Inflation). • For example if inflation is 3%, the inflation adjusted AWCC is (0.0815-0.03)/(1.03) = 0.05=5% • This is sometimes called discount rate.
Definition • FCR: fixed charge rate. It includes • AWCC (payment to the bank loan and equity holders) • Depreciation • Income tax • Property tax • Insurance • Other finance fees
Initial Capital Cost Sum of turbine system cost for elements listed below + balance of station costs
Annual operating Expenses • Include land lease, operation and maintenance, cost of replacing or overhauling parts. • Expressed in dollars per KWh.
Net Average Energy Production (AEP)Overview • Units are in KWh • We may view this as power production integrated over time for a whole year. • Here is a very crude description of how this is computed. • Power production depends on how hard wind blows and how often • It is assumed that the wind speed at a particular site has a Weibull distribution. • This distribution gives the probability that the wind is blowing at a given speed • With some knowledge of the wind turbine power characteristics (rated power, peak Cp, tip speed ratio at which peak Cp occurs, etc), power production at different wind speeds is estimated. • This is multiplied by the Weibull probability that wind is blowing at that speed. • Summation is done over all the wind speeds. • The result is multiplied by 365 days x 24 hours/day • Capacity Factor = AEP / (Rated Power x 365 x 24) may also be computed. • See weibull_betz5_lswt_baseline.xls for example calculations.
Example, continued.. • We next compute probability of wind blowing at a particular speed. • Weibull probability function is used. • This depends on a parameter called K factor, and wind speed at the hub.
Weibull Distribution • K: Shape factor • Changing k shifts probability to the left or right. • l : Scale parameter • In our example, k= 2 • l = Wind Speed at the hub
Efficiency of the Turbine • We next compute efficiency of the turbine when it operates at power other than rated power. • If field data is available, it is used. • Otherwise a simple logic is used:
Hub Power • If wind velocity is less than cut-in speed, hub power is zero. • If wind velocity less than rates speed it is found from • At higher than rated speeds, rated power is used. • At greater than cutout speeds, power is zero. • The hub power, when multiplied by Weibull probability and efficiency h, gives turbine energy output at that speed.
Annual Energy Production • Other losses may include electrical system losses • We divide by 4 because the wind speeds are binned (or grouped by • ¼ m/sec increments. • We will find power, for example at 2, 2.25, 2.50, and 2.75 m/sec and take • the average. • 365 x 24 is 8760
Cost of Energy • Once all the information is available, we can find the cost of energy per KWh.