The EU - Russia - Turkey energy triangle: legal and economic conditions of gas transportation via the TurkStream pipeline

Schislyaeva, Elena; Evgrafova, Irina V.; Butakova, Nadezhda; Mishalchenko, Yuri

doi:10.1016/j.trpro.2022.06.220

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…According to [1], the parameters of Gumbel distribution presented in Figure 1 are: U=32.4, 1/a=5.14. As it has been presented, this fitting works well for the maximum wind speed below 47m/s, which covers about 95% of all cases.…”

Section: Methodsmentioning

confidence: 99%

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Environmental Factors Affecting Requirements for Wind Power Stations

Orynycz,

Ruchała,

Tucki

et al. 2024

Preprint

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The paper presents modelling of relationships between wind velocity distributions observed in Poland and technical requirements for wind power stations design. The wind velocities distributions for various locations in Poland are determined, and expressed in Weibull distribution parameters. Theoretical computations concerning the dependence of wind power station as function of wind speed and aire physical properties are presented. Conclusions important for design of power stations fitted to atmospheric conditions in Poland are given. Wind power plants have been an important source of electricity generation for many years.Wind power modelling with the use of wind speed is used to improve the accuracy of forecasts and analyses of the power production of wind farms.

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Section: Methodsmentioning

confidence: 99%

“…The energy policy and environmental policy of European Union (EU) for years have an impact on the renewable energy [1,2]. The renewable energy sources are a starting point of many debates between European politics, representatives of energy companies, scientists and consumers [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Environmental Factors Affecting Requirements for Wind Power Stations

Orynycz,

Ruchała,

Tucki

et al. 2024

Preprint

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“…Further, economic factors such as fuel prices and incomes play an essential role in selecting the economical type of fuel and vehicles. In this regard, Schislyaeva et al [17] discuss the economic condition of gas resources for the transportation sector. This article analyzes the relationship of Russia with Turkey and the EU from the point of view of trilateral economic relations.…”

Section: Energy Requirements In Urban Logisticsmentioning

confidence: 99%

On the Use of Agile Optimization for Efficient Energy Consumption in Smart Cities’s Transportation and Mobility

Ghorbani

Herrera

Ammouriova

et al. 2022

Future Transportation

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Urban logistics consumes a large portion of energy resources worldwide. Thus, optimization algorithms are used to define mobility modes, vehicle fleets, routing plans, and last-mile delivery operations to reduce energy consumption such as metaheuristics. With the emergence of smart cities, new opportunities were defined, such as carsharing and ridesharing. In addition to last-mile delivery, these opportunities form a challenging problem because of the dynamism they possess. New orders or ride requests could be placed or canceled at any time. Further, transportation times might evolve due to traffic conditions. These dynamic changes challenge traditional optimization methods to propose solutions in real-time to large-scale energy-optimization problems. Thus, a more `agile optimization’ approach is required to provide fast solutions to optimization problems when these changes occur. Agile optimization combines biased randomization and parallelism. It provides `good’ solutions compared to solutions found by traditional optimization methods, such as in-team orienteering problems. Additionally, these solutions are found in short wall clock, real-time.

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