Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/93389
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical Engineering | en_US |
dc.creator | Zhang, K | en_US |
dc.creator | Zhou, B | en_US |
dc.creator | Or, SW | en_US |
dc.creator | Li, C | en_US |
dc.creator | Chung, CY | en_US |
dc.creator | Voropai, NI | en_US |
dc.date.accessioned | 2022-06-21T08:23:24Z | - |
dc.date.available | 2022-06-21T08:23:24Z | - |
dc.identifier.issn | 0093-9994 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/93389 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication K. Zhang, B. Zhou, S. W. Or, C. Li, C. Y. Chung and N. Voropai, "Optimal Coordinated Control of Multi-Renewable-to-Hydrogen Production System for Hydrogen Fueling Stations," in IEEE Transactions on Industry Applications, vol. 58, no. 2, pp. 2728-2739, March-April 2022 is available at https://doi.org/10.1109/TIA.2021.3093841 | en_US |
dc.subject | Biomass | en_US |
dc.subject | Electrochemical processes | en_US |
dc.subject | Electrolytes | en_US |
dc.subject | Energy management | en_US |
dc.subject | Fluctuations | en_US |
dc.subject | Green products | en_US |
dc.subject | Hybrid energy system | en_US |
dc.subject | Hydrogen | en_US |
dc.subject | Hydrogen economy | en_US |
dc.subject | Hydrogen filling station | en_US |
dc.subject | Production | en_US |
dc.title | Optimal coordinated control of multi-renewable-to-hydrogen production system for hydrogen fueling stations | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 2728 | en_US |
dc.identifier.epage | 2739 | en_US |
dc.identifier.volume | 58 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.doi | 10.1109/TIA.2021.3093841 | en_US |
dcterms.abstract | Under the pressure of climate change, the demands for alternative green hydrogen H<sub>2</sub> production methods have been on the rise to conform to the global trend of transition to a H<sub>2</sub> society. This paper proposes a multi-renewable-to-hydrogen production method to enhance the green H<sub>2</sub> production efficiency for renewable-dominated hydrogen fueling stations (HFSs). In this method, the aqueous electrolysis of native biomass can be powered by wind and solar generations based on electrochemical effects, and both of electrolysis current and temperature are taken into account for facilitating on-site H<sub>2</sub> production and reducing the electricity consumption. Moreover, a capsule network (CN)-based H<sub>2</sub> demand forecasting model is formulated to estimate the gas load for HFS by extracting the underlying spatial features and temporal dependencies of traffic flows in the transportation network. Furthermore, a hierarchical coordinated control strategy is developed to suppress high fluctuations in electrolysis current caused by volatility of wind and solar outputs based on model predictive control (MPC) framework. Comparative studies validate the superior performance of the proposed methodology over the power-to-gas (P2G) scheme on electrolysis efficiency and economic benefits. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on industry applications, Mar. 2022, v. 58, no. 2, p. 2728-2739 | en_US |
dcterms.isPartOf | IEEE transactions on industry applications | en_US |
dcterms.issued | 2022-03 | - |
dc.identifier.scopus | 2-s2.0-85112210913 | - |
dc.identifier.eissn | 1939-9367 | en_US |
dc.description.validate | 202206 bchy | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | EE-0054, a2310 | - |
dc.identifier.SubFormID | 47454 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Rail Transit Electrification and Automation Engineering Technology Research Center; National Natural Science Foundation of China | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 54607274 | - |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Or_Optimal_Coordinated_Control.pdf | Pre-Published version | 1.55 MB | Adobe PDF | View/Open |
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