@inproceedings{2478d8e91f7e4616a927c17d436a5f38,
title = "Scheduling Shore Power Usage at Port",
abstract = "In shipping industry, ships typically use their auxiliary engines to generate electrical power for lighting, ventilation and other on-board equipment and as a result emit harmful gases and particles at berth. Using shore power to power ships is a way to reduce the emissions and realize the objective of green port when ships dock at ports. But how to allocate ships to shore power is unresolved. Therefore, this paper aims to determine the allocation of shore power to maximize shore power usage and thus reduce air emissions when ship berth at the ports. An integer programming model for shore power allocation problem is proposed and it is validated by numerical experiments.",
keywords = "Air emissions, At berth, Green port, Shipping industry, Shore power",
author = "Yu Guo and Yiwei Wu and Wei Wang and Shuaian Wang",
note = "Funding Information: Acknowledgements This research is supported by the Research Grants Council of the Hong Kong Special Administrative Region, China (Project number 15201718). Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 4th International Symposium on Smart Transportation Systems, KES-STS 2021 ; Conference date: 14-06-2021 Through 16-06-2021",
year = "2021",
month = jun,
doi = "10.1007/978-981-16-2324-0_1",
language = "English",
isbn = "9789811623233",
series = "Smart Innovation, Systems and Technologies",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "1--7",
editor = "Xiaobo Qu and Lu Zhen and Howlett, {Robert J.} and Jain, {Lakhmi C.}",
booktitle = "Smart Transportation Systems 2021 - Proceedings of 4th KES-STS International Symposium",
address = "Germany",
}