Determination of electricity demand by personal light electric vehicles (PLEVs): an example of e-motor scooters in the context of large city management in Poland

Anna Brdulak , Grażyna Chaberek , Jacek Jagodziński

Abstract

Personal light electric vehicles (PLEVs) are a phenomenon that can currently be observed in cities, intended to be an ecological form of transport. The authors of the paper make an attempt to determine electricity consumption by PLEVs in the context of managing a large city in accordance with the concept of sustainable development. The article is of a cognitive nature. Research questions posed against the background of the goal formulated are as follows: how strong will the demand for PLEVs be (in the example of e-motor scooters, taking into consideration the number of vehicles) and for the electricity consumed by PLEVs. The method used is a simulation model. The conducted analyses demonstrate that a dynamic growth of PLEVs will result in an increased energy demand, which must be taken into account by the cities, developing according to the sustainable development conception.
Author Anna Brdulak
Anna Brdulak,,
-
, Grażyna Chaberek (FOG/IG/DSpatM)
Grażyna Chaberek,,
- Department of Spatial Management
, Jacek Jagodziński
Jacek Jagodziński ,,
-
Journal seriesEnergies, [ENERGIES], ISSN 1996-1073, (N/A 140 pkt)
Issue year2020
Vol13
No1
Pages1-18
Publication size in sheets0.85
Article number194
Keywords in Englishpersonal light mobility vehicle, PLEV, city management, smart city, simulation model, strategy, sustainable development, green energy, e-motor scooter
ASJC Classification1700 General Computer Science
DOIDOI:10.3390/en13010194
URL https://www.mdpi.com/1996-1073/13/1/194
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa (CC-BY); with publication
Score (nominal)140
Score sourcejournalList
ScoreMinisterial score = 140.0, 28-01-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.156; WoS Impact Factor: 2018 = 2.707 (2) - 2018=2.990 (5)
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