2018
DOI: 10.3390/en11092206
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The Impacts of High V2G Participation in a 100% Renewable Åland Energy System

Abstract: A 100% renewable energy (RE) scenario featuring high participation in vehicle-to-grid (V2G) services was developed for the Åland islands for 2030 using the EnergyPLAN modelling tool. Hourly data was analysed to determine the roles of various energy storage solutions, notably V2G connections that extended into electric boat batteries. Two weeks of interest (max/min RE) generation were studied in detail to determine the roles of energy storage solutions. Participation in V2G connections facilitated high shares o… Show more

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Cited by 75 publications
(25 citation statements)
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“…Future research will have to tackle full hourly resolution for the transport sector and further investigate the impact on the solar PV demand. Additional effects may be induced by more flexibility because of sector coupling, in particular via smart charging of BEVs as well as vehicle‐to‐grid benefits . Moreover, the high share of indirect fuels, all requiring hydrogen in the first step, may drastically reduce the battery storage capacity demand, since water electrolysers and hydrogen storage can provide additional flexibility, this may lead to even higher solar PV shares in the electricity supply, since less batteries may be needed, which could further reduce cost.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Future research will have to tackle full hourly resolution for the transport sector and further investigate the impact on the solar PV demand. Additional effects may be induced by more flexibility because of sector coupling, in particular via smart charging of BEVs as well as vehicle‐to‐grid benefits . Moreover, the high share of indirect fuels, all requiring hydrogen in the first step, may drastically reduce the battery storage capacity demand, since water electrolysers and hydrogen storage can provide additional flexibility, this may lead to even higher solar PV shares in the electricity supply, since less batteries may be needed, which could further reduce cost.…”
Section: Discussionmentioning
confidence: 99%
“…Additional effects may be induced by more flexibility because of sector coupling, in particular via smart charging of BEVs as well as vehicle-to-grid benefits. 58,59 Moreover, the high share of indirect fuels, all requiring hydrogen in the first step, may drastically reduce the battery storage capacity demand, since water electrolysers and hydrogen storage can provide additional flexibility, this may lead to even higher solar PV shares in the electricity supply, since less batteries may be needed, which could further reduce cost. A full hourly modelling of the transport sector will provide further insights on the cost structure of electricity-based energy supply of the transport sector.…”
Section: Discussionmentioning
confidence: 99%
“…A very elaborate and scrutinized study of various DC to DC bi-directional topologies suited for PHEV application is provided in [5,6]. All the bi-directional converter topologies discussed in [5,6] have employed a full bridge on either side of the galvanic isolation. The topologies are discussed based on the advantages and disadvantages of each topology.…”
Section: State Of the Artmentioning
confidence: 99%
“…The converter work with an input voltage of 750 Vdc to achieve a variable output voltage between 300 V-600 Vdc. None of the converters discussed in [1][2][3][4][5][6] can be used as first stage power conversion preceded by a renewable energy source because of the huge switching losses and inadequate gain ratio. Whereas maintaining a high voltage at the converter end will help to minimize the conductor size [7] in PHEV charging system.…”
Section: State Of the Artmentioning
confidence: 99%
“…The outputs are PES, share of renewable energy sources (RES), CO 2 emissions, import/export electricity imbalance, fuel consumption and critical excess electricity production (CEEP). As a simulation tool EnergyPLAN offers the opportunity to model and analyze an energy system through different scenarios showing their advantages and weaknesses, depending of the input parameters as type of energy sources, emission factors, costs etc [48].…”
Section: Energyplan Toolmentioning
confidence: 99%