The Impact of Electricity Consumption Profile in Underground Mines to Cooperate with RES

Sylwester Kaczmarzewski, Piotr Olczak and Maciej Sołtysik
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Sylwester Kaczmarzewski: Mineral and Energy Economy Research Institute, Polish Academy of Sciences, Wybickiego St. 7A, 31-261 Kraków, Poland
Piotr Olczak: Mineral and Energy Economy Research Institute, Polish Academy of Sciences, Wybickiego St. 7A, 31-261 Kraków, Poland
Maciej Sołtysik: Faculty of Electrical Engineering, Częstochowa University of Technology, Armii Krajowej St. 17, 42-200 Częstochowa, Poland

Energies, 2021, vol. 14, issue 18, 1-20

Abstract: In Poland, a dynamic increase in the share of renewable energy sources in the national energy mix has been observed in recent years. Until now, these were mainly installations used for the needs of single-family houses and large-scale installations used on the RES auction market. However, due to the fact that the carbon footprint of the offered products is taken into account, this aspect is becoming more and more important. The carbon footprint can be offset by, among others, by covering the energy needs of the industrial plant by its own renewable energy sources. The article analyzes four sample electricity demand profiles of production plants operating in the mining industry, mainly located in Upper Silesia. Using statistical methods, the fitting of potential photovoltaic sources production profiles to the electricity consumption profiles in the analyzed case studies was checked. The analysis was carried out for each hour of the day and for the profiles weighted by the electricity price from the Polish Power Exchange on the Day-Ahead Market, because matching profiles at different hours has a different monetary value and, as a result, a different impact on operation costs. The highest correlation coefficient between electricity consumption and insolation on an annual basis was −0.29 in the Spearman rho-statistic for the case of M1 enterprise. On the other hand, the highest value at the level of 0.48 was achieved by the Pearson r-correlation coefficient determined on a monthly basis between the monetary value of electricity consumed and insolation in June for the M2 enterprise.

Keywords: underground hard coal mining; economic efficiency; electricity costs; renewable energy sources; PV (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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