4.1 Methodological Approach
The following section focuses on the quantification of the risk premium, which was done by comparing the profitability and the LCOE of a reference project (risk-free scenario) with several risk-adjusted scenarios, when the project witnessed regulatory challenges. The calculations were based on the discounted cash flow model, expressing project profitability in terms of the Net Present Value (NPV) and Internal Rate of Return (IRR), which are standard project evaluation methods in finance.Footnote 38 For the calculation of project cash flows, the authors use annual Free Cash Flow to Firm (FCFF) values.
The LCOE calculations were based on an established method of accounting for project expenses and predicted electricity production at certain periods of time. LCOE was calculated with the following formulaFootnote 39:
$$ LCOE=\frac{\sum_{t=0}^n\frac{A_t}{{\left(1+ WACC\right)}^t}}{\sum_{t=0}^n\frac{M_{t, el}}{{\left(1+ WACC\right)}^t}} $$
(1)
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LCOE is levelized cost of electricity in ct/kWh;
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At are all project expenses in cent (0.01 CHF) in year t, including permitting expenses in the pre-construction stage, construction expenses, ecological compensation, and operations and maintenance (O&M) expenses once the project is built;
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Mt is produced electricity in kWh in year t;
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WACC is the discount factor;
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n is the project lifetime, including pre-construction stage.
It should be noted that our calculations of LCOE do not take into account taxes, so caution is advised in comparing LCOE results with the level of feed-in tariffs.
The reference case assumptions were selected to describe a financially attractive wind energy project with realistic features, which have been cross-checked with project developers during the interviews (Table 1). The reference case presents a planned wind park consisting of 9 wind turbines, with a capacity of 3 MW each (27 MW in total). The capacity factor, which is a measure of annual electricity generation per MW installed, is 20.9%, based on the average production values of wind energy projects in Switzerland in 2015.Footnote 40 The turbines’ efficiency decreases at a rate of 1.6% per year.Footnote 41 The project developer expects the planning to take 7 years, construction to be completed in 1 year, and the turbines to generate electricity for 20 years. The project developer discounts her annual cash flows at the weighted average cost of capital (WACC) of 3.97%.Footnote 42 The inflation rate is set at zero for simplicity. The capital expenditure is fully depreciated in 20 years. The corporate tax rate is 17.81%, which is an average corporate Swiss tax rate.Footnote 43 The model assumes 1-year intervals for cash flows, which occur at the end of each year.
Table 1 Reference case assumptions The construction cost of the reference project is 59.4 million CHF (2.2 million CHF/MW) and it costs 660 kCHF to connect the project to the power grid. After the construction, there is an annual expense of 594 kCHF (1% of construction costs) for operations and maintenance (O&M), which increases at a rate of 1% per year. The project developer expects to receive a feed-in tariff of 21.5 ct/kWh for the first 5 years of operation, followed by a lower KEV rate of 13.5 ct/kWh for the remaining 15 years.Footnote 44 During the interviews, the project developers reported production costs ranging from 10 to 20.5 ct/kWh.
Ecological compensation measures are carried out in the year of construction only if the project is realized, and they represent the NPV of all expenses on ecological compensation over the project’s lifetime. They are assumed to cost 1.5 million CHF, which is due to the high number of planned turbines and increasingly stringent ecological requirements. After 20 years of power production, the developer expects to sell the turbines in the second-hand market, which should cover decommissioning costs; so the decommissioning is assumed to be cost-neutral. Note that project expenses in the reference case are rather conservative, tending to underestimate the project’s risks rather than overestimate them.
In the beginning of the project, the developer earmarks a planning budget of 130,000 CHF per MW of planned capacity (3.5 million CHF), corresponding to about 6% of construction cost. For the reference case, project planning and ecological compensation expenses were informed by the values summarized from the interviews (Table 2). This represents a rather conservative assumption, given that the international literature reports planning budgets reaching 10% of the construction cost.Footnote 45 The planning expenses include wind measurements, environmental studies and mitigation measures, salaries for lawyers, engineers, financial managers, as well as PR and stakeholder management expenses. The minimum and maximum values vary considerably depending on the interviewee, which can be explained by differences in project accounting, varying project complexity, and project experiences. Still, Table 2 presents a useful illustration of project planning expenses.
Table 2 Estimation of average expenses of wind project planning One of the most significant cost categories is connected to EIA and ecological mitigation measures, often accounting for half of the planning budget. EIAs take 1.5 to 6 years to perform and range in total cost from 100 kCHF for simpler studies to 700 kCHF for longer and more complex estimations. Similarly, all except for one interviewee reported ecological compensation measures in excess of half a million Swiss francs. Coordination with stakeholders was a significant cost category for some project developers, leading to spending of up to 1.1 million CHF over the project lifetime. In contrast, other developers planned several hundred thousand Swiss francs on such activities per year during the planning stage, depending on the type of activities carried out (organization of site visits and informational meetings with or without catering; noise simulations; preparation of dossiers, website, posters, and flyers; communication campaigns; support of local community activities).
The technical dimension of the project requires planning by experienced engineers, which can be done in-house or outsourced to an engineering company, costing on average about 400 kCHF (might include geotechnical study, road access survey, etc.) and taking 4–5 months to complete. Similarly, wind measurements depend on project complexity and can be completed in several stages, costing from under 100 kCHF to more than half a million CHF. Obtaining the permit for wind measurements can take several months for approval and can be subject to objections. Planning for interconnection might cost about 100 kCHF.
One of the cost categories that are most difficult to predict is the HR expense for project management and expenses for legal advice, as these directly increase with project delays, the number of objections, the number of subsequent court cases, and court instances involved. We made a conservative estimation of 500 kCHF over the planning period but also provide mean values for legal expenses per court case, which would be added to the planning budget as they arise. Finally, we include the cost of insurances, land rent and leases, estimated at 50 kCHF.
In order to evaluate marginal impacts of different administrative hurdles, we compute the NPV, IRR, and LCOE in the reference case and different scenarios. Each scenario investigates two levels of risk: low risk and high risk. The overall aim of the scenarios is to determine which factors have the highest impact on project profitability and hence represent the most severe policy risk.
Scenario I investigates changes in profitability and LCOE as a result of a 3-year (low risk) and 10-year (high risk) delay in project development in the pre-construction stage. The planning budget increases by 100 k CHF for every year of delay, which accounts for additional project management hours, legal advice costs and coordination efforts.
Scenario II illustrates the detrimental effect of policy-induced reductions in the project’s capacity factor. Full load hours are usually predicted based on wind measurements in the pre-construction stage. Yet, decreased hours of operation can be a measure of ecological compensation, as the turbines might have to be switched off to protect migratory birds or vulnerable bat species. The turbines in the reference case operate with 1831 full load hours a year (20.9% capacity factor), while Scenario II evaluates the changes in LCOE if the turbines work with a capacity factor of 19.9% (low risk) and 17.9% (high risk). A similar negative effect is expected in Scenario III, where there are fewer turbines (5 in the low-risk case or 7 in the high-risk case) permitted than originally planned. In Scenario IV, we investigate cost overruns that increase the planning budgets to 200 kCHF (low risk) and 400 kCHF (high risk) per MW of installed capacity (Table 3).
Table 3 Summary of scenarios Scenario V combines multiple administrative hurdles and is, in many ways, mirroring the reality of several Swiss wind projects. First, low project risks from Scenarios I–IV are combined: planning takes 10 years, the planning expenses increase to 200 kCHF/MW, only 7 out of 9 turbines are permitted, and the capacity factor is reduced to 19.9%. In the high-risk combination scenario, we investigate a 5-turbine project with a pre-construction stage of 17 years and a planning budget of 400 kCHF/MW, with a capacity factor of 17.9%.
Finally, we investigated the impacts of the level and duration of KEV payments on the project’s profitability (represented by IRR and NPV). Since LCOE does not account for project revenues, it is not calculated here. We investigated whether wind energy projects will be developed in Switzerland without KEV (Scenario VI) and what levels of electricity market prices are necessary to make wind projects financially attractive. For modeling simplicity, we disregarded electricity price volatility and assumed a constant price of 4 ct/kWh, which was the average spot price for Swiss base load electricity in the day-ahead market between July 2015 and July 2016Footnote 46 and which is also within the range of the Swiss Federal Office of Energy’s electricity price projections.Footnote 47 The low-risk Scenario VI assumes the market price to be 8 ct/kWh.Footnote 48 Additionally, we looked at project profitability if KEV payments are delayed by 1 or 2 years and the electricity is sold at the market price of 4 ct/kWh (Scenario VII). Finally, we calculated profitability changes due to an overall reduction in KEV support (by 10% or 20%) (Scenario VIII).
4.2 Results: The Price of Policy Risk
This section provides an indication of the magnitude of the policy risk premium faced by project developers due to challenges in the pre-construction stage. We compare LCOE in the risk-free scenario to the eight scenarios with policy risks introduced in the previous section. The LCOE of the reference case is 12.57 ct/kWh. Under the base case assumptions, the project is a reasonably attractive investment with an IRR of 6.68%, an NPV of 10.3 million CHF and a payback time of 10 years after construction. The following scenarios illustrate marginal impacts of policy risks on the reference case.
Scenario I
A 3-year delay increases LCOE by 0.16 ct/kWh and results in 1.76 million in losses in NPV (Fig. 3). A 10-year delay in project development creates 4.42 million in losses in NPV for the investor, increasing LCOE by 0.37 ct/kWh. Note that these numbers account for only 100 kCHF in additional expenses per year of delay, thus increasing the planning budget by 300 kCHF and one million CHF altogether. Despite these rather small changes in the planning budget (0.5% and 1.7% of construction cost), the estimated profitability losses and LCOE increases are considerable. This observation illustrates an important lesson learned: project delays have a much larger impact on project profitability than is obvious from the direct additional expenses.
In addition to direct costs, delays in project development are connected to indirect costs, such as the opportunity cost of capital. During the years of permitting, the capital earmarked for the project is not productive; yet, it could have been invested at a profit elsewhere. A simple calculation of the opportunity cost shows that if the project developers in the reference case invested their planning budget of 3.5 million CHF into a financial vehicle with an annual yield of 3%, they would have obtained 105 kCHF in revenue per year. In 15 years, the project developers would have earned nearly two million CHF on their initial investment. In case of a wind project, the developers do not see any return on their investment for the duration of the permitting stage. Thus, the idling capital should be of the same level of concern as idling wind turbines.
Moreover, administrative delays make the project developer forego profits from electricity production, which also could have been reinvested. Depending on the assumptions, foregone profits from electricity generation also run into hundreds of thousands of francs, funds that cannot be reinvested if the project gets delayed. Even though opportunity costs of capital and foregone profits do not enter the financial accounting of the project developer, they should not be neglected, since they reduce the overall attractiveness of the project.
Scenario II
Major profit-reducing events can occur if not all planned turbines are permitted or the turbines remain idle due to restrictions. Switching off wind turbines can be a measure of environmental conservation. The reduction in capacity factor by one percentage point to 19.9%, brings about an average loss in NPV of 2.8 million CHF and increases LCOE by 0.63 ct/kWh. If the capacity factor decreases to 17.9%, the NPV losses amount to 8.4 million CHF compared to the reference case. If this high risk is present, the LCOE increases by 2.11 ct/kWh.
Scenario III
A significant decrease in profitability is experienced if multiple turbines are not permitted. If only 7 of the 9 originally planned turbines can be built, LCOE increases by 0.73 ct/kWh. If only 5 turbines are permitted, LCOE climbs by 2.04 ct/kWh. Thus, reducing the capacity factor to 17.9% due to the switching off of turbines has roughly the same impact on LCOE as having 4 of the planned 9 turbines not permitted. The reference project needs at least 14 MW of production capacity to break even. If the project faces additional costs and delays, it requires larger capacities to counterbalance the permitting expenses. This illustrates the sensitivity of wind projects to the number of hours the rotor is allowed to turn and the number of turbines in the park.
Scenario IV
The planning budget is likely to increase when the project is experiencing delays. If the planning costs increase to 200 k per MW of installed capacity, the project developer will not only have to invest 1.89 million CHF more into the project in the pre-construction stage, but the LCOE also increases by 0.38 ct/kWh. In a high-risk case, the planning costs would reach 400 kCHF/MW, which would increase LCOE by 1.44 ct/kWh, making the project only marginally attractive with an IRR of 4.88% (Fig. 4). From the interviews we have learned that some project developers would abandon a project if the planning cost reaches half a million CHF per MW. The planning costs for abandoned projects need to be implicitly won back by successful projects, putting an upward pressure on the required level of KEV payments.
Scenario V
So far, the calculations estimated the marginal impacts of policy risks on project profitability and LCOE levels. The low-risk combination scenario illustrates a case that is fairly representative of many Swiss wind projects: 3 years of delays, a lower than planned capacity factor of 19.9%, 7 turbines permitted, the planning budget amounting to 200 kCHF/MW. The IRR of the combination scenario is 4.87%, which is still higher than WACC but does not represent a high-yield investment. At the same time, LCOE would rise to 14.22 ct/kWh, which is higher than the nominal KEV remuneration in years 6–20. This implies that the profitability of the project would be substantially lower than initially projected.
If we combine the high-risk scenarios (10 years delay, reduction in capacity factor to 17.9%, 5 turbines permitted, increase of planning costs to 400 kCHF/MW), LCOE rises to the unsustainable level of 18.67 ct/kWh. The cumulative policy risks would reduce the IRR below WACC, yielding a negative NPV, which suggests that an economically rational developer would abandon the project, as it will not be profitable. The combination scenario illustrates how multiple policy risks that are present in reality can have a significant negative impact on a project’s financial performance. Unless minimized, these policy risks can hamper the prospects of development of wind energy projects.
Figure 3 presents the effects of the policy risks illustrated in Scenarios I–V on the risk-adjusted LCOE of wind energy in Switzerland. In order to make a positive investment decision, a project developer would compare LCOE with achievable revenues, i.e., remuneration from KEV or electricity sales.
Scenarios VI–VIII
The highest risks to a project’s financial viability are related to the unavailability, reduction, or delays of KEV payments. In line with the information received during the interviews, we find that no wind project can be developed without KEV in the current market conditions. If KEV payments are not available for 1 year and the electricity price is 40 CHF/MWh, the profitability of the whole project drops by 1.03 percentage points, which would cost the project developer 3.5 million CHF. Delaying KEV for 2 years in the initial years of operation is equivalent to not allowing 4 out of 9 wind turbines to be built in NPV terms. A relatively high market price for electricity is required for the project to be financially viable in the absence of a feed-in tariff: with the assumed WACC (3.97%), the wind project’s NPV was positive when the average market price of electricity reached 13.5 ct/kWh for all years of operation. A minimum KEV support of 16.0 ct/kWh is required for all years of operation to maintain the profitability of 6%. If the level of KEV support is reduced by 10%, the project’s NPV decreases by more than 5.84 million CHF (1.51 percentage point loss in terms of IRR). More significant reductions of KEV, say by 20%, are likely to deter investment, as the net present value of cash flows turns negative and IRR (3.08%) is below WACC. Note that the relationship between the reduction of KEV and losses in profitability is not one to one: if KEV is reduced by 10%, the profitability decreases by more than 22%.
Figure 4 summarizes the discussions in this section, illustrating how the initial project IRR of 6.68% would be affected by the policy risks discussed in Scenarios I to VIII. The dotted green line represents the assumed weighted average cost of capital of 3.97%. Policy risks can significantly reduce the expected rate of return, and let it fall below WACC and even to negative absolute values in some cases, suggesting that the project would turn unprofitable if the assumptions in some of the high-risk scenarios materialize.