The number of electric vehicles (EVs) and solar photovoltaic panels (PVs) are rapidly increasing in many power grids. An important emerging challenge is managing their less desirable consequences (e.g. grid instability and peak load), particularly in urban environments. We present a solution that matches the temporal nature of PV generation and EV charging. This solution is a simple coordination strategy for EV charging which minimally affects EV availability for drivers while maximizing the PV electricity generation absorbed by EV batteries. The strategy is benchmarked with high-resolution data from a medium-sized European city. We find that this coordination provides large benefits compared to commonly-observed uncoordinated chargin...
The introduction of battery electric vehicles (BEV) and the expansion of rooftop photovoltaic (PV) p...
The increased use of electric vehicles puts additional pressure on the energy system. In an energy s...
The goal of this work is to build a set of computational tools to aid decision making for the modell...
Increased penetration of residential photovoltaic (PV) systems over the past decade has led to an ab...
Cities are responsible for around 75% of global primary energy use and 70% of global greenhouse gas ...
This study presents a model for estimatingbuilding-applied photovoltaic (PV) energy yield and electr...
Cities have a significant potential to host residential photovoltaic systems (PV). The direct consum...
As the state of the environment deteriorates due to the large energy consumption in the world, the i...
The decarbonization of city energy systems plays an important role to meet climate targets. We exami...
The penetration of electric vehicles (EVs) and photovoltaic (PV) systems has increased globally in t...
In order to contribute to the reduction of greenhouse gas emissions, electric vehicles (EVs) should ...
Photovoltaics (PV) and electric vehicles (EVs) are promising technologies for increasing energy effi...
AbstractThis paper investigates the possibility of charging battery electric vehicles at workplace i...
Electric vehicles (EV) and photovoltaic (PV) generation are widely recognized around the world. Most...
The aim of the European Union to drastically reduce greenhouse gas emissions in the following decade...
The introduction of battery electric vehicles (BEV) and the expansion of rooftop photovoltaic (PV) p...
The increased use of electric vehicles puts additional pressure on the energy system. In an energy s...
The goal of this work is to build a set of computational tools to aid decision making for the modell...
Increased penetration of residential photovoltaic (PV) systems over the past decade has led to an ab...
Cities are responsible for around 75% of global primary energy use and 70% of global greenhouse gas ...
This study presents a model for estimatingbuilding-applied photovoltaic (PV) energy yield and electr...
Cities have a significant potential to host residential photovoltaic systems (PV). The direct consum...
As the state of the environment deteriorates due to the large energy consumption in the world, the i...
The decarbonization of city energy systems plays an important role to meet climate targets. We exami...
The penetration of electric vehicles (EVs) and photovoltaic (PV) systems has increased globally in t...
In order to contribute to the reduction of greenhouse gas emissions, electric vehicles (EVs) should ...
Photovoltaics (PV) and electric vehicles (EVs) are promising technologies for increasing energy effi...
AbstractThis paper investigates the possibility of charging battery electric vehicles at workplace i...
Electric vehicles (EV) and photovoltaic (PV) generation are widely recognized around the world. Most...
The aim of the European Union to drastically reduce greenhouse gas emissions in the following decade...
The introduction of battery electric vehicles (BEV) and the expansion of rooftop photovoltaic (PV) p...
The increased use of electric vehicles puts additional pressure on the energy system. In an energy s...
The goal of this work is to build a set of computational tools to aid decision making for the modell...