The article proposes a method of multipurpose optimization of the size of an autonomous hybrid energy system consisting of photovoltaic, wind, diesel, and battery energy storage systems, and including a load-shifting system. The classical iterative Gauss–Seidel method was applied to optimize the size of a hybrid energy system in a remote settlement on Sakhalin Island. As a result of the optimization according to the minimum net present value criterion, several optimal configurations corresponding to different component combinations were obtained. Several optimal configurations were also found, subject to a payback period constraint of 5, 6, and 7 years. Optimizing the size of the hybrid power system with electric load shifting showed that the share of the load not covered by renewable energy sources decreases by 1.25% and 2.1%, depending on the parameters of the load shifting model. Net present cost and payback period also decreased, other technical and economic indicators improved; however, CO2 emissions increased due to the reduction in the energy storage system.
Global climate change poses a challenge to the mineral development industry in the Arctic regions. Civil and industrial buildings designed and constructed without consideration of warming factors are beginning to collapse due to changes in the permafrost structure. St. Petersburg Mining University is developing technical and technological solutions for the construction of remote Arctic facilities and a methodology for their design based on physical and mathematical predictive modeling. The article presents the results of modeling the thermal regimes of permafrost soils in conditions of thermal influence of piles and proposes measures that allow a timely response to the loss of bearing capacity of piles. Designing pile foundations following the methodology proposed in the article to reduce the risks from global climate change will ensure the stability of remote Arctic facilities located in the zone of permafrost spreading.
Renewable power sources (RPS) play an ever growing role in power production. With the green power cost decreasing, the RPS share (including hydro power plants) in power production grows fast. Using RPS in supplying power to various facilities reduces the CO 2 emission into atmosphere, thus reducing the greenhouse effect and being a fundamental factor in fighting the global warming. Every type of RPS possesses certain drawbacks that need to be eliminated. RPS units do have disadvantages, too, including low efficiency coefficient, and low specific power. However, there is the need for specific technological conditions. The present work describes the issue of photoelectric module heating. Photoelectric module heating results in both lower output voltage and module aging acceleration. The present work offers the method for assessing the practicability of development and implementation of solar power cell module active cooling systems, based on the photoelectric module daily performance schedules, drawing on statistic meteorological data collected over many years, and also it presents the brief description of various methods for cooling photoelectric modules.
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