Feasibility study of a building-integrated PV manager to power a last-mile electric vehicle sharing system

Fuentes, Manuel and Fraile Ardanuy, Jesús and Risco Martín, José Luis and Moya Fernández, José Manuel (2017). Feasibility study of a building-integrated PV manager to power a last-mile electric vehicle sharing system. "International Journal of Photoenergy", v. 2017 ; pp. 8679183-1. ISSN 1110-662X. https://doi.org/10.1155/2017/8679183.

Description

Title: Feasibility study of a building-integrated PV manager to power a last-mile electric vehicle sharing system
Author/s:
  • Fuentes, Manuel
  • Fraile Ardanuy, Jesús
  • Risco Martín, José Luis
  • Moya Fernández, José Manuel
Item Type: Article
Título de Revista/Publicación: International Journal of Photoenergy
Date: 2017
ISSN: 1110-662X
Volume: 2017
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Transportation is one of the largest single sources of air pollution in urban areas. This paper analyzes a model of solar-powered vehicle sharing system using building-integrated photovoltaics (BIPV), resulting in a zero-emission and zero-energy mobility system for last-mile employee transportation. As a case study, an electric bicycle sharing system between a public transportation hub and a work center is modeled mathematically and optimized in order to minimize the number of pickup trips to satisfy the demand, while minimizing the total energy consumption of the system. The whole mobility system is fully powered with BIPV-generated energy. Results show a positive energy balance in e-bike batteries and pickup vehicle batteries in the worst day of the year regarding solar radiation. Even in this worst-case scenario, we achieve reuse rates of 3.8 people per bike, using actual data. The proposed system manages PV energy using only the batteries from the electric vehicles, without requiring supportive energy storage devices. Energy requirements and PV generation have been analyzed in detail to ensure the feasibility of this approach.

Funding Projects

TypeCodeAcronymLeaderTitle
FP7270833DATA SIMUNIVERSITEIT HASSELTData Science for Simulating the Era of Electric Vehicles

More information

Item ID: 49952
DC Identifier: http://oa.upm.es/49952/
OAI Identifier: oai:oa.upm.es:49952
DOI: 10.1155/2017/8679183
Official URL: https://www.hindawi.com/journals/ijp/2017/8679183/
Deposited by: Memoria Investigacion
Deposited on: 25 Apr 2018 14:47
Last Modified: 30 May 2019 10:28
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