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Harmonizing Solar Energy and Public Transit: A Data-Driven Analysis of Integrating Photovoltaic Systems with Electric Bus Charging Infrastructure

  • Wenxin Ma
  • , Long Wen
  • , Wenjun Jia
  • , Xiaolei Ma
  • , Xiaohan Liu*
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As an energy-intensive sector, transportation is accountable for nearly 29% of global energy usage and 20% of worldwide carbon emissions. To identify viable avenues toward eco-friendly and sustainable transportation, this study examines the integration of distributed photovoltaic (PV) power generation systems within public transit infrastructure. In this paper, a sophisticated, data-driven framework is introduced for assessing the feasibility of harmonizing bus charging depots with PV power generation. The framework amalgamates diverse datasets, including solar angles, irradiance, meteorological temperature readings, public transport infrastructure characteristics, and bus GPS trajectories, collected in Beijing during 2020. The correlation between PV energy generation and the electrical demand of bus charging depots is analyzed and quantified. To optimize the adoption of PV energy, energy storage solutions are strategically deployed at bus charging depots. A case study, employing GPS data from 20,992 buses and geospatial data from 678 bus depots, serves to evaluate the effectiveness of the proposed model. The empirical results reveal a substantial reduction in charging costs by approximately 3.16 billion yuan, coupled with a decrease in carbon emissions by 231,800 tons. Additionally, over a 25-year lifecycle, the PV systems supply an estimated 4.92 billion kWh of energy to electric buses.

Original languageEnglish
Title of host publicationSmart Transportation and Green Mobility Safety - Green Mobility
EditorsWuhong Wang, Lisheng Jin, Haiqiu Tan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages361-378
Number of pages18
ISBN (Print)9789819724420
DOIs
StatePublished - 2024
Event13th International Conference on Green Intelligent Transportation Systems and Safety, GITSS 2022 - Qinghuangdao, China
Duration: 16 Sep 202218 Sep 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume1181 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference13th International Conference on Green Intelligent Transportation Systems and Safety, GITSS 2022
Country/TerritoryChina
CityQinghuangdao
Period16/09/2218/09/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Data-driven
  • Electric bus
  • Energy storage
  • Photovoltaic power generation
  • Transport decarbonization

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