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A Complex Network Approach for the Estimation of the Energy Demand of Electric Mobility

Mureddu, Mario and Facchini, Angelo and Scala, Antonio and Caldarelli, Guido and Damiano, Alfonso A Complex Network Approach for the Estimation of the Energy Demand of Electric Mobility. Scientific Reports, 8 (1). p. 268. ISSN 2045-2322 (2018)

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We study how renewable energy impacts regional infrastructures considering the full deployment of electric mobility at that scale. We use the Sardinia Island in Italy as a paradigmatic case study of a semi-closed system both by energy and mobility point of view. Human mobility patterns are estimated by means of census data listing the mobility dynamics of about 700,000 vehicles, the energy demand is estimated by modeling the charging behavior of electric vehicle owners. Here we show that current renewable energy production of Sardinia is able to sustain the commuter mobility even in the theoretical case of a full switch from internal combustion vehicles to electric ones. Centrality measures from network theory on the reconstructed network of commuter trips allows to identify the most important areas (hubs) involved in regional mobility. The analysis of the expected energy flows reveals long-range effects on infrastructures outside metropolitan areas and points out that the most relevant unbalances are caused by spatial segregation between production and consumption areas. Finally, results suggest the adoption of planning actions supporting the installation of renewable energy plants in areas mostly involved by the commuting mobility, avoiding spatial segregation between consumption and generation areas.

Item Type: Article
Identification Number: 10.1038/s41598-017-17838-5
Projects: EU project OpenMaker (grant num. 687941), EU project SoBigData (grant num. 654024), EU project DOLFINS (grant num. 640772)
Uncontrolled Keywords: Complex networks; Energy grid and networks
Subjects: H Social Sciences > HA Statistics
Q Science > QA Mathematics
Q Science > QC Physics
Research Area: Computer Science and Applications
Depositing User: Caterina Tangheroni
Date Deposited: 16 Jan 2018 09:53
Last Modified: 16 Jan 2018 09:53
URI: http://eprints.imtlucca.it/id/eprint/3859

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