Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/109931
DC Field | Value | Language |
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dc.contributor | Department of Building Environment and Energy Engineering | - |
dc.contributor | Research Institute for Sustainable Urban Development | - |
dc.contributor | Research Institute for Smart Energy | - |
dc.creator | Kumar, GMS | - |
dc.creator | Cao, S | - |
dc.date.accessioned | 2024-11-20T07:30:25Z | - |
dc.date.available | 2024-11-20T07:30:25Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/109931 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.rights | © 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/). | en_US |
dc.rights | The following publication Kumar, G. M. S., & Cao, S. (2024). Quantifying and enhancing the energy resilience of zero-emission train station systems against power outages via electrified train-building integrations. Energy Conversion and Management: X, 22, 100531 is available at https://doi.org/10.1016/j.ecmx.2024.100531. | en_US |
dc.subject | Energy management | en_US |
dc.subject | Energy resilience | en_US |
dc.subject | Metro railway | en_US |
dc.subject | Power outage | en_US |
dc.subject | Sector coupling | en_US |
dc.subject | Zero energy system | en_US |
dc.title | Quantifying and enhancing the energy resilience of zero-emission train station systems against power outages via electrified train-building integrations | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 22 | - |
dc.identifier.doi | 10.1016/j.ecmx.2024.100531 | - |
dcterms.abstract | Addressing power outages due to renewable energy penetration and conventional utility grid issues is vital to ensure the reliability and resilience of any energy system. Therefore, this project begins by modelling a renewable energy-supported swappable battery-powered railway system with stochastically driven power outages. Then, it comprehensively quantified energy resilience using novel technological, economic and environmental indicators for different annual power outage percentages and renewable energy capacities. Two implementations are systematically analysed: one that uses a unique control strategy for dynamically handling the power outage periods in addition to the existing control strategy, and another that finds the right renewable energy mix within and between the stations. The first one improves the autonomous net-zero energy system by enhancing the energy-based resilience factor, annual carbon emissions from the system, and net present value for the estimated lifetime of 20 years from 0.83 to 0.99, 264.7 to 12.7 ton and –7.3 × 106 to 51.4 × 106 HKD, respectively. The second investigation reveals that technological and environmental indicators favour solar energy of 70 %, and the economic indicator prefers more wind energy. Using 100 % wind energy on both stations of the metro railway system is economically consistently effective as it provides a net present value of up to 59.8 × 106 HKD owing to the 30 % lower capital cost of wind energy compared to solar energy. | - |
dcterms.abstract | Graphical abstract: [Figure not available: see fulltext.] | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Energy conversion and management: X,, Apr. 2024, v. 22, 100531 | - |
dcterms.isPartOf | Energy conversion and management: X, | - |
dcterms.issued | 2024-04 | - |
dc.identifier.scopus | 2-s2.0-85183745760 | - |
dc.identifier.eissn | 2590-1745 | - |
dc.identifier.artn | 100531 | - |
dc.description.validate | 202411 bcch | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Research Institute for Smart Energy (RISE), The Hong Kong Polytechnic University | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.oaCategory | CC | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S2590174524000096-main.pdf | 16.42 MB | Adobe PDF | View/Open |
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