摘要
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.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Smart Transportation and Green Mobility Safety - Green Mobility |
| 编辑 | Wuhong Wang, Lisheng Jin, Haiqiu Tan |
| 出版商 | Springer Science and Business Media Deutschland GmbH |
| 页 | 361-378 |
| 页数 | 18 |
| ISBN(印刷版) | 9789819724420 |
| DOI | |
| 出版状态 | 已出版 - 2024 |
| 活动 | 13th International Conference on Green Intelligent Transportation Systems and Safety, GITSS 2022 - Qinghuangdao, 中国 期限: 16 9月 2022 → 18 9月 2022 |
出版系列
| 姓名 | Lecture Notes in Electrical Engineering |
|---|---|
| 卷 | 1181 LNEE |
| ISSN(印刷版) | 1876-1100 |
| ISSN(电子版) | 1876-1119 |
会议
| 会议 | 13th International Conference on Green Intelligent Transportation Systems and Safety, GITSS 2022 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Qinghuangdao |
| 时期 | 16/09/22 → 18/09/22 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 7 经济适用的清洁能源
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可持续发展目标 9 产业、创新和基础设施
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可持续发展目标 13 气候行动
指纹
探究 'Harmonizing Solar Energy and Public Transit: A Data-Driven Analysis of Integrating Photovoltaic Systems with Electric Bus Charging Infrastructure' 的科研主题。它们共同构成独一无二的指纹。引用此
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