Matches in SemOpenAlex for { <https://semopenalex.org/work/W1620178077> ?p ?o ?g. }
Showing items 1 to 51 of
51
with 100 items per page.
- W1620178077 abstract "The use of electricity from renewable energy sources (RES) in the transport sector has many advantages compared to the internal combustion engine (ICE). A transition from a fossil fuel based mobility to one based on electricity from renewable sources can allow for significant greenhouse gas reductions (GHG) as well as of air pollutants and noise in urban areas. In addition, greater independence from imported oil in the transport sector can be achieved.The aim of this work is to study the feasibility and system impact of electric mobility in the German power system with a high share of fluctuating renewable energy. One major advantage of electric vehicles (EV) is the high flexibility in charging times, which can be used to integrate renewable power generation and to make the operation of the system more efficient. This work will focus on the period comprised between 2030 and 2050, since at that time it can be assumed that electric vehicles under favourable conditions can reach a significant magnitude for the power system.The REMix model developed at the DLR couples the in the energy economics well established approach of linear optimisation with a geographic information system (GIS) that provides spatial and temporal information of the renewable energy potentials. The GIS-based dataset is a key element of the model and is calculated based on satellite measurements, weather service and land cover data for the whole of Europe with a high spatial (10 x 10 km) and temporal (hourly) resolution. In contrast to other planning models, in which only typical load situations are represented, REMix considers real weather conditions and thus allows representing the particularities of fluctuating renewable energy sources in an optimization model.The results prove the feasibility of a power system with a RES share of over 85% assuming an ambitious network expansion based on underground HVDC lines. The analysis points out that controlling the charging times of plug-in electric vehicles (PEV) and with a flexible hydrogen production for fuel cell vehicles (FCV) not only the additional demand of EVs but also the renewable power generation required to power these vehicles can be integrated in the system. These actions allow completely avoiding increases of the residual peak demand, of surpluses from RES, as well as of the required transmission network expansion." @default.
- W1620178077 created "2016-06-24" @default.
- W1620178077 creator A5014854090 @default.
- W1620178077 date "2014-10-20" @default.
- W1620178077 modified "2023-09-24" @default.
- W1620178077 title "Large scale renewable power integration with electric vehicles : long term analysis for Germany with a renewable based power supply" @default.
- W1620178077 doi "https://doi.org/10.18419/opus-2339" @default.
- W1620178077 hasPublicationYear "2014" @default.
- W1620178077 type Work @default.
- W1620178077 sameAs 1620178077 @default.
- W1620178077 citedByCount "4" @default.
- W1620178077 countsByYear W16201780772014 @default.
- W1620178077 countsByYear W16201780772019 @default.
- W1620178077 countsByYear W16201780772020 @default.
- W1620178077 countsByYear W16201780772021 @default.
- W1620178077 crossrefType "dissertation" @default.
- W1620178077 hasAuthorship W1620178077A5014854090 @default.
- W1620178077 hasConcept C119599485 @default.
- W1620178077 hasConcept C121332964 @default.
- W1620178077 hasConcept C127413603 @default.
- W1620178077 hasConcept C163258240 @default.
- W1620178077 hasConcept C188573790 @default.
- W1620178077 hasConcept C206658404 @default.
- W1620178077 hasConcept C39432304 @default.
- W1620178077 hasConcept C40293303 @default.
- W1620178077 hasConcept C423512 @default.
- W1620178077 hasConcept C548081761 @default.
- W1620178077 hasConcept C62520636 @default.
- W1620178077 hasConcept C68189081 @default.
- W1620178077 hasConceptScore W1620178077C119599485 @default.
- W1620178077 hasConceptScore W1620178077C121332964 @default.
- W1620178077 hasConceptScore W1620178077C127413603 @default.
- W1620178077 hasConceptScore W1620178077C163258240 @default.
- W1620178077 hasConceptScore W1620178077C188573790 @default.
- W1620178077 hasConceptScore W1620178077C206658404 @default.
- W1620178077 hasConceptScore W1620178077C39432304 @default.
- W1620178077 hasConceptScore W1620178077C40293303 @default.
- W1620178077 hasConceptScore W1620178077C423512 @default.
- W1620178077 hasConceptScore W1620178077C548081761 @default.
- W1620178077 hasConceptScore W1620178077C62520636 @default.
- W1620178077 hasConceptScore W1620178077C68189081 @default.
- W1620178077 hasLocation W16201780771 @default.
- W1620178077 hasOpenAccess W1620178077 @default.
- W1620178077 hasPrimaryLocation W16201780771 @default.
- W1620178077 hasRelatedWork W1545066953 @default.
- W1620178077 hasRelatedWork W1691935200 @default.
- W1620178077 hasRelatedWork W91245057 @default.
- W1620178077 isParatext "false" @default.
- W1620178077 isRetracted "false" @default.
- W1620178077 magId "1620178077" @default.
- W1620178077 workType "dissertation" @default.