Page 32 - CARILEC CE Industry Journal_Oct_2019
P. 32

ABSTRACT

            Is there value in implementing taller turbines in wind farms?
            Is there a trend in Canadian wind farms?
            Is there a limit at which turbine height no longer affects cost dynamics?
            Yes, to all the above.

            In the report at hand, we demonstrate how economies of scale impact long-run costs in operating a wind farm and
            competitiveness of utilizing taller turbines in energy auctions. Furthermore, comparing data for more than 280 wind farms
            in Canada over 25 years demonstrates that over time, the heights of wind turbines have increased along with the capacity
            in megawatts per turbine. That is, to say a turbine installed in 2017 is equivalent to four turbines installed in 2003.







            PART ONE

            LCOE Metric and PPA Pricing

            The Levelized Cost of Energy (LCOE) is an economic
            assessment. It’s the average total cost to build and
            operate a power-generating system, divided by the total
            power generated over its lifetime (Bruck, Sandborn, &
            Goudarzi, 2018). LCOE is the minimum price to sell
            energy for a project to break even (NREL, 2018).
                                                                Figure 1- Onshore Wind LCOE by Province (BNEF, 2017)
            A wind project's LCOE is influenced by four key
            parameters (IRENA, 2018):
            1  Capacity factor:                                 Agreement (PPA), and average production costs. Yet,
               •  This is the result of an interaction of several   there are other factors that influence the income of a
                   variables, influenced by the wind resource,   project. These include beneficial tax policies (i.e.
                   turbine design, and operation efficiency.    accelerated depreciation), and increased turbine prices
            2  Total installed costs:                           from suppliers. Suppliers often increase their prices when
               •  The single largest capital expenditure of a wind   they expect high returns and low competition. For this
                   project is the turbine cost itself,  accounting   reason, there is a trend of low PPA prices. This was
                   for 65%-70% of total capital expenditure.    recently seen in the Renewable Energy Program 1 in
            3  Weighted Average Cost of Capital (WACC):         Alberta. The low PPA prices often aren’t compared to the
               •  The cost of debt, the equity premium of the   LCOE of a project.
                   investors, and the capital structure of a
                   project.                                            Income=Revenue (PPA)-Expense (LCOE)
            4  Operation & Maintenance costs:                                       Equation 1
               •  Operational expenses consist of both fixed and
                   variable costs and can represent up to       PPA prices depend on a set of obligations dependent on
                   20%-25% of LCOE.                             market situations.  They don’t reflect the conditions
                                                                throughout the lifetime of the project  (IRENA, 2018).
            For every province in Canada, the LCOE for wind saw a   The LCOE metric and a project’s PPA price aren’t a direct
            reduction from 2016 to 2017, as seen in Figure 1.   comparison, as a PPA price lower than the LCOE may not
            Bloomberg New Energy Finance (BNEF) also predicts   represent a lower cost of a project (IRENA, 2018).
            that the average LCOE for wind projects in Canada will be
            37% lower than current values by 2040. The factors that   We are now seeing how economies of scale come into
            will play a key role in reducing the LCOE of wind include   play with the evolution of wind farms. There is a
            declining equipment costs, improving the efficiency of   correlation between the growing height of turbines, with
            new turbines, and declining financing and development   increasing returns and lower average cost. This growth
            costs (BNEF, 2017).                                 will continue to occur for a finite amount of time until we
                                                                reach a constant return to scale. At the next point of the
            The typical wind farm model balances two main       scale, the average cost will eventually rise because of
            concepts: expected revenue from a Power Purchase    dis-economies of scale.




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