The paper analyzes the impact of potential changes in the price relation between domestic and imported coal and its influence on the volume of coal imported to Poland. The study is carried out with the application of a computable model of the Polish energy system. The model reflects fundamental relations between coal suppliers (domestic coal mines, importers) and key coal consumers (power plants, combined heat and power plants, heat plants, industrial power plants). The model is run under thirteen scenarios, differentiated by the ratio of the imported coal price versus the domestic coal price for 2020–2030. The results of the scenario in which the prices of imported and domestic coal, expressed in PLN/GJ, are equal, indicate that the volume of supplies of imported coal is in the range of 8.3–11.5 million Mg (depending on the year). In the case of an increase in prices of imported coal with respect to the domestic one, supplies of imported coal are at the level of 0.4–4.1 million Mg (depending on the year). With a decrease in the price of imported coal, there is a gradual increase in the supply of coal imports. For the scenario in which a 30% lower imported coal price is assumed, the level of imported coal almost doubles (180%), while the supply from domestic mines is reduced by around 28%, when compared to the levels observed in the reference scenario. The obtained results also allow for the development of an analysis of the range of coal imports depending on domestic versus imported coal price relations in the form of cartograms.
The dynamic development of wind power in recent years has generated the demand for production forecasting tools in wind farms. The data obtained from mathematical models is useful both for wind farm owners and distribution and transmission system operators. The predictions of production allow the wind farm operator to control the operation of the turbine in real time or plan future repairs and maintenance work in the long run. In turn, the results of the forecasting model allow the transmission system operator to plan the operation of the power system and to decide whether to reduce the load of conventional power plants or to start the reserve units. The presented article is a review of the currently applied methods of wind power generation forecasting. Due to the nature of the input data, physical and statistical methods are distinguished. The physical approach is based on the use of data related to atmospheric conditions, terrain, and wind farm characteristics. It is usually based on numerical weather prediction models (NWP). In turn, the statistical approach uses historical data sets to determine the dependence of output variables on input parameters. However, the most favorable, from the point of view of the quality of the results, are models that use hybrid approaches. Determining the best model turns out to be a complicated task, because its usefulness depends on many factors. The applied model may be highly accurate under given conditions, but it may be completely unsuitable for another wind farm.
Taking the importance of time and risk into account has a significant impact on the value of investment projects. Investments in the energy sector are long-term projects and, as such, are burdened with uncertainty associated with the long-term freezing of capital and obtaining the expected return. In the power industry, this uncertainty is increased by factors specific to the sector, including in particular changes in the political and legal environment and the rapid technological development. In the case of discounted cash flow analysis (DCF), commonly used for assessing the economic efficiency of investments, the only parameter expressing investor uncertainty regarding investment opportunities is the discount rate, which increases with the increasing risk of the project. It determines the value of the current project, thus becoming an important criterion affecting investors’ decisions. For this reason, it is of great importance for the assessment of investment effectiveness. This rate, usually in the form of the weighted average cost of capital (WACC), generally includes two elements: the cost of equity capital and borrowed capital. Due to the fluctuant relationship between these two parameters in project financing, performing a WACC analysis in order to compare the risks associated with the different technologies is not completely justified. A good solution to the problem is to use the cost of equity. This article focuses on the analysis of this cost as a measure of risk related to energy investments in the United States, Europe and worldwide.
With the upcoming implementation of the centralized capacity market in Poland, capacity auctions will be organized where domestic power companies will offer their available capacities. It is assumed that bidding will be auctioned according to the so called descending clock auction system with uniform-price (Pay-as-Clear), which will lead to the market equilibrium price. Some analysts, however, are of the view that it is more appropriate to organize capacity auctions in the Pay-as-Bid formula, as this system should lead to lower prices that those of Pay-as-Clear, hence lower costs of capacity purchase. However, this opinion does not confirm the practice – theoretical considerations do not take into account such important factors as the behavior of market players and the tendency of bidders to accept a higher risk or the lack of access to advanced analyses, and thus better information for all market participants. This paper presents a hypothetical calculation of the prices in the centralized capacity market using Monte Carlo simulations. The results of the study confirm that the price level for the Pay-as-Bid system, due to the asymmetry of information and the level of concentration of the power generation sector in Poland would lead to higher prices than for the Pay-as-Clear system on average by approximately 2.5%. The implementation of the PAB system would, therefore, be less efficient to electricity consumers.
The paper investigates the supply structure of the capacity market in Poland in the coming years. The results of the capacity auctions conducted in 2018 are analyzed for this purpose. Three auctions were held at that time. The products traded in the capacity market are capacity obligations for the following years: 2021, 2022 and 2023. The auctions were organized in accordance with (i) he Act of December 8, 2017 on the Capacity Market and the (ii) Capacity Market Regulations published by the Polish Power Grid. The source of data used in this study is the official information of the President of the Energy Regulatory Office on the final results of the main auctions for 2021–2023 delivery periods. The list of the capacity suppliers who won capacity auctions contains the type of capacity market units, the volume of capacity obligations, the duration of capacity agreements and the business name of the capacity suppliers. The conducted analysis indicates that the auction for 2021 was won mainly by existing units (45.81%) and refurbishing units (33.51%). In subsequent years, the share of existing generating units is significantly higher and amounts to 91.67% for 2022 and 84.54% for 2023. The results of the study carried out in this paper also show that one energy company, being the owner of power generating daughter companies, has a very high share in these capacity auctions. The PGE Capital Group contracted 51.95% for 2021, 69.92% for 2022 and 64.44% for 2023 of the total capacity obligation. The volume amounts to over 70% of their total installed capacity.
Recent empirical research has provided compelling evidence that the proliferation of intellectual property rights (IP) and the fragmentation of patent rights among different patent holders have created barriers to innovation and impediments to the commercialization of scientific discoveries. Legal and economic scholars have suggested that due to the rising number of patent applications, the limited resources in patent offices around the world and the lack of sufficient time to prior art search, examiners have failed to conduct thorough patent examination processes. Moreover, researchers have linked the growing number of overlapping intellectual property rights to the tragedy of the anticommons and to the concept of patent thickets. Multiple studies have been performed in order to develop measures that could verify the existence of patent thickets and to better understand the social and economic impact of fragmentary patent owners. When it comes to the energy sector, the problem of patent thickets is now even more important. As the technological innovation in this sector increases and the energy-related patenting continues to grow, it has been argued that the issue of patent thickets may have a direct impact on investment decisions and the long-run development of this sector. This paper presents an overview of literature on the definition of a patent thicket and summarizes some of the possible factors causing thickets to arise. Additionally, it discusses the recent developments in patent thicket measures and patent thicket identification methods.