Determining energy storage amount for development of novel microgrid energy flow optimization system with photovoltaic energy generation

Rubenis, Aivars; Adrian, Leslie R.

doi:10.1016/j.egypro.2018.07.113

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…Data from the JRC Photovoltaic geographical information system [16] for 11 years 2005-2016 about solar radiation and temperature were used to calculate the predicted amounts of energy. Monthly and hourly PV profiles described in [17] were used for solar energy production schedule simulation. The power generation scenario assumed generic microcrystalline solar cells with a 14 % efficiency.…”

Section: Methodsmentioning

confidence: 99%

Development of model for increasing electric vehicle charging capacity with limited available grid power

Rubenis

Tropins

Zvirbule

2019

Engineering for Rural Development

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The article focuses on developing an operation model, how to decrease the necessary grid connection power for electric vehicle fast charging stations, based on the current electric vehicle (EV) charging tendencies in Latvia. In order to reach the goals of decreasing CO2 emissions in the transportation sector, Latvia has rolled out electric vehicle fast charging infrastructure on the main TENT roads. However, because this infrastructure will not be uniformly used all across Latvia, the maintenance and infrastructure costs are high. This article is examining a possibility of decreasing these costs by introduction of energy storage and renewable energy sources to lower the required grid connection power level. The specific task of the article was development of a model based on the charging data from EV charging sessions to reliably simulate possible charging scenarios as EV use will increase in the future. The model was then validated using Monte Carlo simulations and compared with the empirical results. The possibilities of grid connection power decrease were analysed. The results demonstrated that introduction of energy storage and photovoltaic energy would currently decrease the operational costs for 93 % of the EV charging stations in the Latvian fast charging network.

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Section: Methodsmentioning

confidence: 99%

Development of model for increasing electric vehicle charging capacity with limited available grid power

Rubenis

Tropins

Zvirbule

2019

Engineering for Rural Development

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“…The model for energy flows is structured in the following blocks: Annual solar irradiation level ranges from 675 to 1100 kWh•m -2 in Latvia [10], however, because of the intermittent nature of solar radiation, the exclusive use of solar energy for EV charging is challenging, requiring energy storage facilities. Detailed hourly and daily solar radiation information for locations in Europe is available from the JRC Photovoltaic geographical information system [11], which was used to develop a model for solar energy generation simulation in [12] using microcrystalline solar cells. The energy production distribution during a year is displayed in Table 1.…”

Section: Methodsmentioning

confidence: 99%

Opportunities for electric vehicle fast charging networks in Northern regions using smart charging

Rubenis

Tropins

Adrian

2019

Engineering for Rural Development

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The article examines the possibilities of charging electric vehicles from renewable resources in Latvia. Electric vehicles (EV) have been recognized as a way to decrease CO2 emissions in the transportation sector. Still, the real benefit of EV's depends on the source of the energy. Solar energy has been established to become a viable source for environmentally friendly energy as the costs of solar panels have been decreasing. However, in northern areas the amount of solar energy is limited during wintertime, which complicates using solar energy as the only energy source. This article models two possible operational scenarios for energy consumption for EV charging, based on empirical data from charging station use in Latvia-one prioritizing energy security, the other-use of locally produced solar energy. The article then evaluates how both scenarios perform, by looking at the capacity for energy production from photovoltaics obtained from solar radiation data in Latvia and combining with an option of energy storage in batteries. It then assesses the costs for solar energy comparing with the energy price in the grid, to estimate the economic benefits of using solar energy for EV charging. The results of the research show that for northern regions like Latvia solar energy can be effectively used to bring down the energy costs by 31 % compared with the standard scenario, with the algorithm preferring local energy being more cost-efficient at the same grid connection level, but the security prioritizing algorithm performing better altogether, by allowing larger grid connection power level decrease.

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“…Individually, the generation profiles for wind and solar energy are subject to strong fluctuations [Olulope, Odetoye and Olanrewaju 2022]. Consequently, an increased expansion of one technology, for example photovoltaics, leads to an increased peak output, but the additional energy can only be used directly to a marginal extent, since the same generation periods are available in which energy is already being generated [Rubenis and Adrian 2018]. Due to the low probability of parallel availability of solar and wind energy, the situation is different.…”

Section: Utilisation Of Renewable Energy Generationmentioning

confidence: 99%

Analysis of Energy Flows of a Sector-Coupled Power Generation Unit (Hydrogen Microgrid)

Stephan,

Werner

2023

SJGMU

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This paper investigates the dynamic characteristics of the energy flows of the energy sectors electricity, heat, and gas, and evaluates the necessary components of the reconversion chain during operation. In addition to providing electrical energy, the H2 microgrid can also serve as a heat and gas supplier by generating the gas (hydrogen) within the electrolysis plant, storing it at different pressure levels, and then making it available to other processes. Furthermore, the electrical energy sector is addressed, where batteries, power electronics, electrical loads of the microgrid are analysed for their behaviour and impact on grid stability. Finally, the overall efficiencies of the coupling between the electric power and gas sectors resulting from the electrolyser and the fuel cell are compared and evaluated.

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Determining energy storage amount for development of novel microgrid energy flow optimization system with photovoltaic energy generation

Cited by 4 publications

References 5 publications

Development of model for increasing electric vehicle charging capacity with limited available grid power

Development of model for increasing electric vehicle charging capacity with limited available grid power

Opportunities for electric vehicle fast charging networks in Northern regions using smart charging

Analysis of Energy Flows of a Sector-Coupled Power Generation Unit (Hydrogen Microgrid)

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