Optimal Coordinated Control of Multi-Renewable-to-Hydrogen Production System for Hydrogen Fueling Stations
Under the pressure of climate change, the demands for alternative green hydrogen (H 2 ) production methods have been on the rise to conform to the global trend of transition to a H 2 society. This article proposes a multirenewable-to-hydrogen production method to enhance the green H 2 production eff...
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| Published in | IEEE transactions on industry applications Vol. 58; no. 2; pp. 2728 - 2739 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.03.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0093-9994 1939-9367 |
| DOI | 10.1109/TIA.2021.3093841 |
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| Abstract | Under the pressure of climate change, the demands for alternative green hydrogen (H 2 ) production methods have been on the rise to conform to the global trend of transition to a H 2 society. This article proposes a multirenewable-to-hydrogen production method to enhance the green H 2 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 electrolysis current and temperature are taken into account for facilitating on-site H 2 production and reducing the electricity consumption. Moreover, a capsule network based H 2 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 framework. Comparative studies validate the superior performance of the proposed methodology over the power-to-gas scheme on electrolysis efficiency and economic benefits. |
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| AbstractList | Under the pressure of climate change, the demands for alternative green hydrogen (H2) production methods have been on the rise to conform to the global trend of transition to a H2 society. This article proposes a multirenewable-to-hydrogen production method to enhance the green H2 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 electrolysis current and temperature are taken into account for facilitating on-site H2 production and reducing the electricity consumption. Moreover, a capsule network based H2 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 framework. Comparative studies validate the superior performance of the proposed methodology over the power-to-gas scheme on electrolysis efficiency and economic benefits. Under the pressure of climate change, the demands for alternative green hydrogen (H 2 ) production methods have been on the rise to conform to the global trend of transition to a H 2 society. This article proposes a multirenewable-to-hydrogen production method to enhance the green H 2 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 electrolysis current and temperature are taken into account for facilitating on-site H 2 production and reducing the electricity consumption. Moreover, a capsule network based H 2 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 framework. Comparative studies validate the superior performance of the proposed methodology over the power-to-gas scheme on electrolysis efficiency and economic benefits. |
| Author | Zhou, Bin Chung, Chi Yung Or, Siu Wing Voropai, Nikolai Zhang, Kuan Li, Canbing |
| Author_xml | – sequence: 1 givenname: Kuan surname: Zhang fullname: Zhang, Kuan email: zhankuan1994@qq.com organization: College of Electrical and Information Engineering, Hunan University, Changsha, China – sequence: 2 givenname: Bin orcidid: 0000-0002-1376-4531 surname: Zhou fullname: Zhou, Bin email: binzhou@hnu.edu.cn organization: College of Electrical and Information Engineering, Hunan University, Changsha, China – sequence: 3 givenname: Siu Wing orcidid: 0000-0003-2536-5658 surname: Or fullname: Or, Siu Wing email: eeswor@polyu.edu.hk organization: Department of Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong – sequence: 4 givenname: Canbing orcidid: 0000-0001-9116-7487 surname: Li fullname: Li, Canbing email: licanbing@sjtu.edu.cn organization: School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China – sequence: 5 givenname: Chi Yung orcidid: 0000-0001-6607-2240 surname: Chung fullname: Chung, Chi Yung email: c.y.chung@usask.ca organization: Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada – sequence: 6 givenname: Nikolai surname: Voropai fullname: Voropai, Nikolai email: voropai@isem.irk.ru organization: Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia |
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| Cites_doi | 10.1109/TPWRS.2020.2989533 10.1109/TSTE.2020.2975609 10.1109/TSTE.2020.2970078 10.1016/j.ijepes.2020.106040 10.1109/TITS.2020.2984813 10.1039/C5EE03019F 10.1016/j.energy.2020.119384 10.1021/acssuschemeng.8b01701 10.1186/s41601-019-0147-z 10.1016/j.ijhydene.2019.10.014 10.1016/j.rser.2019.109292 10.1016/j.enconman.2020.113240 10.1016/j.ijhydene.2016.11.142 10.1039/D0SE01149E 10.1039/C8TA03741H 10.1016/j.cjche.2020.11.005 10.1109/TIA.2020.3037264 10.1109/TEC.2010.2066977 10.1109/TII.2019.2926779 10.1016/j.jclepro.2019.118345 10.1109/TIA.2020.2993760 10.1016/j.jpowsour.2016.03.074 10.1093/amrx/abq002 10.1109/TIA.2019.2904927 10.1016/j.enconman.2021.113910 10.1109/TIA.2021.3076020 10.1016/j.rser.2017.09.003 10.1126/science.aad4998 10.1016/j.ijhydene.2020.11.047 10.1021/acscatal.9b04099 10.1016/j.eng.2020.02.021 10.1016/j.elecom.2019.01.016 10.1016/j.jpowsour.2020.227810 10.1109/TITS.2018.2797697 10.1021/acssuschemeng.0c01054 10.1016/j.rser.2018.04.067 10.1109/MELE.2017.2784631 10.1109/TSG.2017.2703126 10.1109/TSG.2020.3025082 10.1109/TSG.2018.2863247 |
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| Snippet | Under the pressure of climate change, the demands for alternative green hydrogen (H 2 ) production methods have been on the rise to conform to the global trend... Under the pressure of climate change, the demands for alternative green hydrogen (H2) production methods have been on the rise to conform to the global trend... |
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| SubjectTerms | Aqueous electrolysis Biomass Climate change Comparative studies Economic forecasting Electricity consumption Electrochemical processes Electrolysis Electrolytes Energy management Feature extraction Fluctuations Green products hybrid energy system Hydrogen hydrogen economy hydrogen filling station (HFS) Hydrogen production Predictive control Production Production methods Transportation networks |
| Title | Optimal Coordinated Control of Multi-Renewable-to-Hydrogen Production System for Hydrogen Fueling Stations |
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