Electric vehicles’ impacts on residential electric local profiles – A stochastic modelling approach considering socio-economic, behavioural and spatial factors

Fischer, David; Harbrecht, Alexander; Surmann, Arne; McKenna, Russell

doi:10.1016/j.apenergy.2018.10.010

Cited by 131 publications

(55 citation statements)

References 33 publications

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“…Nowadays, the majority of fuel supply is fossil, with the perspective on including different forthcoming renewable alternatives at different scales [5]. Contemporary, large-scale electrification of stationary users as well as transportation by means of Electric Vehicles (EV) [6] draws the attention to electricity sectors entailing new players in new markets such as the flexibility services offered by the buildings [7].…”

Section: Introductionmentioning

confidence: 99%

Solar Energy Data Analytics: PV Deployment and Land Use

Mancini

Nastasi

2020

Energies

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EU targets for sustainable development call for strong changes in the current energy systems as well as committed protection of environmental resources. This target conflicts if a policy is not going to promote the compatible solutions to both the issues. This is the case of the additional renewable energy sources to be exploited for increasing the share in the electricity mix and in the gross final energy consumption. Solar energy is, currently, the cheapest solution in Southern European Countries, like Italy. In this paper, thanks to the availability of three open databases provided by National Institutions, the authors compared the historic trends and policy scenarios for soil consumption, electricity consumption, and renewable electricity production to check correlations. The provincial scale was chosen as resolution of the analysis. The deviations from the policy scenarios was then addressed to identify the demand for policy recommendations and pathways to promote in order to achieve the target for renewable electricity share as well as the reduction in soli consumption trend in 2030. The role of renewables integrated in the existing contexts, such as building integrated photovoltaics, is considered a key driver for solving this issue.

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Section: Introductionmentioning

confidence: 99%

Solar Energy Data Analytics: PV Deployment and Land Use

Mancini

Nastasi

2020

Energies

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“…Moreover, it is important to consider two variables that will strongly influence the electricity demand by the end of the next decade: the spread of electric vehicles (Fischer et al, 2019) and heat pumps (Haakana et al, 2018). The Italian National Energy Strategy, published in November 2017, foresees 5 million electric vehicles in 2030, with a consequent increase of the electricity estimated between 7.5 and 9 TWh per year.…”

Section: Introductionmentioning

confidence: 99%

A GIS-based model to assess electric energy consumptions and usable renewable energy potential in Lazio region at municipality scale

Santoli

Mancini

Garcia

2019

Sustainable Cities and Society

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The ongoing energy transition processes need a rapprochement between the places of energy production and consumption with the aim of creating innovative and integrated territorial models. Consequentially, models and strategies for increasing the use of local and renewable energy sources (RES) play a key rule for enhancing energy independence and sustainability of the considered areas. The main objective of this study is to analyse the energy system of the Lazio Region in Italy, comparing electricity consumptions and production from renewable sources at municipality scale. In order to estimate the electricity consumptions and the local production by RES, the main sectors of electricity consumption together with the potential of the available RES for the electricity production have been analysed. The obtained results pinpointed the main critical aspects of the Lazio region, that are mainly focalized in the city of Rome and in the most densely inhabited municipalities. Furthermore, research outputs provide an overall framework on the regional RES potential and allowed the formulation of proposals aimed at overcoming the identified criticalities and increasing the share of electricity production from renewables. Finally, the research approach could be replicated in other areas, providing a useful process for decision makers and stakeholders.

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“…EVs significantly reduce greenhouse gas emissions in the transportation sector. However, they may increase the peak load demand and energy loss in the residential buildings and distribution power grids (Fischer et al [2], Clement-Nyns et al [3], Fernandez et al [4]) which result in inefficient operation of the system. Through EV load demand management, however, the distribution network operator (DNO) can not only decrease the negative effects of EV charging load without investment in grid capacity expansion, but also benefit by peak load shaving or load variance minimization (LVM).…”

Section: Introductionmentioning

confidence: 99%

Hierarchical distributed framework for EV charging scheduling using exchange problem

2019

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8]), the scalability issue, and EV owners' privacy preserving. In this paper, we propose an EV charging scheduling (EVCS) framework to address the scalability and privacy preserving issues.Related Work. There is a rich body of literature proposing a variety of approaches for EVCS which fall into two categories: centralized and distributed.In the former, a central entity such as DNO receives all the required data over the communication system from the dispersed EVs and coordinates their charging

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Electric vehicles’ impacts on residential electric local profiles – A stochastic modelling approach considering socio-economic, behavioural and spatial factors

Cited by 131 publications

References 33 publications

Solar Energy Data Analytics: PV Deployment and Land Use

Solar Energy Data Analytics: PV Deployment and Land Use

A GIS-based model to assess electric energy consumptions and usable renewable energy potential in Lazio region at municipality scale

Hierarchical distributed framework for EV charging scheduling using exchange problem

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