Due to the continuous increase of renewable energies in Germany, energy suppliers and operators of conventional power stations are facing major challenges. On the one hand, coal- and gas-fired power stations must ensure the security of supply. On the other hand, these plants are partially not economic due to the low electricity prices at the power exchanges. Furthermore, the trading of emission allowances introduced in 2005 leads to additional production costs.
In order to compensate the variations of renewable energies, flexible power plants are required, such as gas power stations. In this work, both pure gas turbine and combined cycle gas turbine power plants are evaluated. The flexible use of gas-fired power plants, which can be ramped up several times a day, requires an equally flexible valuation approach. The real options method fulfills this requirement. Therefore, it is necessary to model the prices of electricity, gas and emission allowances over the plant’s lifetime of 30 years. A time series analysis of the historical time series yields the required parameters to forecast the prices for electricity and gas. The resulting linear and deterministic trend is added by a vector autoregression component in order to describe the interdependencies between the variables. The ability of changing the state of a gas-fired power plant between “production” and “shutdown” is modeled by a switching option. Using the forecasted price processes for electricity and gas by means of Monte Carlo simulations, the resulting option values are averaged to obtain the final value of the power plant.
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Due to the continuous increase of renewable energies in Germany, energy suppliers and operators of conventional power stations are facing major challenges. On the one hand, coal- and gas-fired power stations must ensure the security of supply. On the other hand, these plants are partially not economic due to the low electricity prices at the power exchanges. Furthermore, the trading of emission allowances introduced in 2005 leads to additional production costs.
In order to compensate the varia...
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