Energy system modeling increasingly includes electric vehicle fleets both as additional electric demands and as a source of flexibility for load-shifting since approximately 10 years. Recently, tools for calculating electricity demand and flexibility profiles are opening up, fulfilling a pre-requisite for easy reproducibility of research results. Two tools that are used for the analysis of sector-coupling effects between electricity and transport sector are emobpy (developed by Carlos Gaete at DIW) and VencoPy (developed by Niklas Wulff at DLR-TT). The talk sheds light on both tools’ concepts and compares output and research applications
Εlectric vehicles are replacing the internal combustion engine vehicles rapidly and they will domina...
Growing Electric Vehicle penetration presents unwanted problems to grid reliability. For nearly ever...
The emergence of plug-in electric vehicles (PEVs) is unveiling new opportunities to de-carbonise the...
Energy system modeling increasingly includes electric vehicle fleets both as additional electric dem...
As electric vehicle fleets grow, rising electric loads necessitate energy systems models to incorpor...
As electric vehicle fleets grow, rising electric loads necessitate energy systems models to incorpor...
The presentation showcases VencoPy, an interface between travel survey data and energy system models...
emobpy is a Python tool that can create battery electric vehicle profiles. Three different time seri...
emobpy is a tool developed to generate electric vehicle time-series based on empirical data. This da...
emobpy is a tool developed to generate electric vehicle time-series based on empirical data. This da...
Abstract There is substantial research interest in how future fleets of battery-electric vehicles wi...
This paper provides a prototype of an Electric Vehicles Load Profile Generator based on the probabil...
This dataset includes Python code required to simulate the smart charging of an Electric Vehicle (EV...
A new electricity market model was drafted in Denmark (1) to define the roles of different players a...
Electric vehicles are becoming more and more prevalent, especially with major manufacturers announci...
Εlectric vehicles are replacing the internal combustion engine vehicles rapidly and they will domina...
Growing Electric Vehicle penetration presents unwanted problems to grid reliability. For nearly ever...
The emergence of plug-in electric vehicles (PEVs) is unveiling new opportunities to de-carbonise the...
Energy system modeling increasingly includes electric vehicle fleets both as additional electric dem...
As electric vehicle fleets grow, rising electric loads necessitate energy systems models to incorpor...
As electric vehicle fleets grow, rising electric loads necessitate energy systems models to incorpor...
The presentation showcases VencoPy, an interface between travel survey data and energy system models...
emobpy is a Python tool that can create battery electric vehicle profiles. Three different time seri...
emobpy is a tool developed to generate electric vehicle time-series based on empirical data. This da...
emobpy is a tool developed to generate electric vehicle time-series based on empirical data. This da...
Abstract There is substantial research interest in how future fleets of battery-electric vehicles wi...
This paper provides a prototype of an Electric Vehicles Load Profile Generator based on the probabil...
This dataset includes Python code required to simulate the smart charging of an Electric Vehicle (EV...
A new electricity market model was drafted in Denmark (1) to define the roles of different players a...
Electric vehicles are becoming more and more prevalent, especially with major manufacturers announci...
Εlectric vehicles are replacing the internal combustion engine vehicles rapidly and they will domina...
Growing Electric Vehicle penetration presents unwanted problems to grid reliability. For nearly ever...
The emergence of plug-in electric vehicles (PEVs) is unveiling new opportunities to de-carbonise the...