IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v238y2019icp401-412.html
   My bibliography  Save this article

Techno-economic evaluation of a hybrid fuel cell vehicle with on-board MeOH-to-H2 processor

Author

Listed:
  • Wu, Wei
  • Chuang, Bo-Neng
  • Hwang, Jenn-Jiang
  • Lin, Chien-Kung
  • Yang, Shu-Bo

Abstract

A new on-board MeOH-to-H2 processor, which is a combination of multi-tube annular membrane methanol reformer (MTAMMR), plate-fin heat exchangers, fuel tank, and auxiliary equipment, is installed into the hybrid fuel cell vehicle named as the methanol reformer-based hybrid fuel cell (MRHFC) vehicle. Compared to the high-pressure hydrogen tank in the direct hydrogen fuel cell (DHHFC) vehicle, e.g. 2016 Toyota Mirai hybrid fuel cell vehicle, we found that (i) the estimated size of the MeOH-to-H2 processor is smaller than that of the hydrogen tank by 46.6% if the sizes of auxiliary equipment are not taken into account, and (ii) the estimated capital cost of the stainless steel MeOH-to-H2 processor is lower than that of the hydrogen tank by 77% if the present high cost of the tubular membrane is ignored. To explore the fuel economy of the MRHFC vehicle with different batteries, the urban/highway driving cycles in terms of the acceleration performance and the hybrid ratio (HR) of battery power and motor peak power is investigated by an advanced vehicle simulator (ADVISOR). The simulations show that (i) the high HR can reduce the total cost as well as increase the fuel economy of the MRHFC vehicle, and (ii) the Li-ion battery is better equipped to ensure the high fuel economy and avoid the undesired state of charge (SOC) of battery while HR = 0.6.

Suggested Citation

  • Wu, Wei & Chuang, Bo-Neng & Hwang, Jenn-Jiang & Lin, Chien-Kung & Yang, Shu-Bo, 2019. "Techno-economic evaluation of a hybrid fuel cell vehicle with on-board MeOH-to-H2 processor," Applied Energy, Elsevier, vol. 238(C), pages 401-412.
  • Handle: RePEc:eee:appene:v:238:y:2019:i:c:p:401-412
    DOI: 10.1016/j.apenergy.2019.01.089
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261919300923
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2019.01.089?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jaggi, Vikas & Jayanti, S., 2013. "A conceptual model of a high-efficiency, stand-alone power unit based on a fuel cell stack with an integrated auto-thermal ethanol reformer," Applied Energy, Elsevier, vol. 110(C), pages 295-303.
    2. Wang, Ligang & Yang, Yongping & Dong, Changqing & Morosuk, Tatiana & Tsatsaronis, George, 2014. "Multi-objective optimization of coal-fired power plants using differential evolution," Applied Energy, Elsevier, vol. 115(C), pages 254-264.
    3. Sulaiman, N. & Hannan, M.A. & Mohamed, A. & Ker, P.J. & Majlan, E.H. & Wan Daud, W.R., 2018. "Optimization of energy management system for fuel-cell hybrid electric vehicles: Issues and recommendations," Applied Energy, Elsevier, vol. 228(C), pages 2061-2079.
    4. Pan, Minqiang & Wu, Qiuyu & Jiang, Lianbo & Zeng, Dehuai, 2015. "Effect of microchannel structure on the reaction performance of methanol steam reforming," Applied Energy, Elsevier, vol. 154(C), pages 416-427.
    5. Tribioli, Laura & Cozzolino, Raffaello & Chiappini, Daniele & Iora, Paolo, 2016. "Energy management of a plug-in fuel cell/battery hybrid vehicle with on-board fuel processing," Applied Energy, Elsevier, vol. 184(C), pages 140-154.
    6. Song, Ziyou & Zhang, Xiaobin & Li, Jianqiu & Hofmann, Heath & Ouyang, Minggao & Du, Jiuyu, 2018. "Component sizing optimization of plug-in hybrid electric vehicles with the hybrid energy storage system," Energy, Elsevier, vol. 144(C), pages 393-403.
    7. Ribeirinha, P. & Abdollahzadeh, M. & Boaventura, M. & Mendes, A., 2017. "H2 production with low carbon content via MSR in packed bed membrane reactors for high-temperature polymeric electrolyte membrane fuel cell," Applied Energy, Elsevier, vol. 188(C), pages 409-419.
    8. Wu, Xiaolan & Cao, Binggang & Li, Xueyan & Xu, Jun & Ren, Xiaolong, 2011. "Component sizing optimization of plug-in hybrid electric vehicles," Applied Energy, Elsevier, vol. 88(3), pages 799-804, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ioan-Sorin Sorlei & Nicu Bizon & Phatiphat Thounthong & Mihai Varlam & Elena Carcadea & Mihai Culcer & Mariana Iliescu & Mircea Raceanu, 2021. "Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies," Energies, MDPI, vol. 14(1), pages 1-29, January.
    2. Santanu Kumar Dash & Suprava Chakraborty & Michele Roccotelli & Umesh Kumar Sahu, 2022. "Hydrogen Fuel for Future Mobility: Challenges and Future Aspects," Sustainability, MDPI, vol. 14(14), pages 1-22, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vamsi Krishna Reddy, Aala Kalananda & Venkata Lakshmi Narayana, Komanapalli, 2022. "Meta-heuristics optimization in electric vehicles -an extensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    2. Peng, Hujun & Chen, Zhu & Li, Jianxiang & Deng, Kai & Dirkes, Steffen & Gottschalk, Jonas & Ünlübayir, Cem & Thul, Andreas & Löwenstein, Lars & Pischinger, Stefan & Hameyer, Kay, 2021. "Offline optimal energy management strategies considering high dynamics in batteries and constraints on fuel cell system power rate: From analytical derivation to validation on test bench," Applied Energy, Elsevier, vol. 282(PA).
    3. Ribeirinha, P. & Abdollahzadeh, M. & Sousa, J.M. & Boaventura, M. & Mendes, A., 2017. "Modelling of a high-temperature polymer electrolyte membrane fuel cell integrated with a methanol steam reformer cell," Applied Energy, Elsevier, vol. 202(C), pages 6-19.
    4. Purnima, P. & Jayanti, S., 2017. "Water neutrality and waste heat management in ethanol reformer - HTPEMFC integrated system for on-board hydrogen generation," Applied Energy, Elsevier, vol. 199(C), pages 169-179.
    5. Xiao Hu & Shikun Liu & Ke Song & Yuan Gao & Tong Zhang, 2021. "Novel Fuzzy Control Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles Considering State of Health," Energies, MDPI, vol. 14(20), pages 1-20, October.
    6. Xueqin Lü, & Wu, Yinbo & Lian, Jie & Zhang, Yangyang, 2021. "Energy management and optimization of PEMFC/battery mobile robot based on hybrid rule strategy and AMPSO," Renewable Energy, Elsevier, vol. 171(C), pages 881-901.
    7. Wang, Qing-Hui & Yang, Song & Zhou, Wei & Li, Jing-Rong & Xu, Zhi-Jia & Ke, Yu-Zhi & Yu, Wei & Hu, Guang-Hua, 2018. "Optimizing the porosity configuration of porous copper fiber sintered felt for methanol steam reforming micro-reactor based on flow distribution," Applied Energy, Elsevier, vol. 216(C), pages 243-261.
    8. Ribeirinha, P. & Abdollahzadeh, M. & Pereira, A. & Relvas, F. & Boaventura, M. & Mendes, A., 2018. "High temperature PEM fuel cell integrated with a cellular membrane methanol steam reformer: Experimental and modelling," Applied Energy, Elsevier, vol. 215(C), pages 659-669.
    9. Chen, Kui & Laghrouche, Salah & Djerdir, Abdesslem, 2019. "Degradation model of proton exchange membrane fuel cell based on a novel hybrid method," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    10. Laura Tribioli & Raffaello Cozzolino & Daniele Chiappini, 2017. "Technical Assessment of Different Operating Conditions of an On-Board Autothermal Reformer for Fuel Cell Vehicles," Energies, MDPI, vol. 10(7), pages 1-17, June.
    11. Yongbing Xiang & Xiaomin Yang, 2021. "An ECMS for Multi-Objective Energy Management Strategy of Parallel Diesel Electric Hybrid Ship Based on Ant Colony Optimization Algorithm," Energies, MDPI, vol. 14(4), pages 1-21, February.
    12. Bizon, Nicu, 2019. "Real-time optimization strategies of Fuel Cell Hybrid Power Systems based on Load-following control: A new strategy, and a comparative study of topologies and fuel economy obtained," Applied Energy, Elsevier, vol. 241(C), pages 444-460.
    13. Chen, Shiyi & Lior, Noam & Xiang, Wenguo, 2015. "Coal gasification integration with solid oxide fuel cell and chemical looping combustion for high-efficiency power generation with inherent CO2 capture," Applied Energy, Elsevier, vol. 146(C), pages 298-312.
    14. Eckert, Jony Javorski & Silva, Fabrício L. & da Silva, Samuel Filgueira & Bueno, André Valente & de Oliveira, Mona Lisa Moura & Silva, Ludmila C.A., 2022. "Optimal design and power management control of hybrid biofuel–electric powertrain," Applied Energy, Elsevier, vol. 325(C).
    15. Igor Donskoy, 2023. "Techno-Economic Efficiency Estimation of Promising Integrated Oxyfuel Gasification Combined-Cycle Power Plants with Carbon Capture," Clean Technol., MDPI, vol. 5(1), pages 1-18, February.
    16. Bizon, Nicu, 2019. "Efficient fuel economy strategies for the Fuel Cell Hybrid Power Systems under variable renewable/load power profile," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    17. Jun-bin Wang & Lufei Huang, 2021. "A Game-Theoretic Analytical Approach for Fostering Energy-Saving Innovation in the Electric Vehicle Supply Chain," SAGE Open, , vol. 11(2), pages 21582440211, June.
    18. Primabudi, Eko & Morosuk, Tatiana & Tsatsaronis, George, 2019. "Multi-objective optimization of propane pre-cooled mixed refrigerant (C3MR) LNG process," Energy, Elsevier, vol. 185(C), pages 492-504.
    19. Zhu, Tao & Wills, Richard G.A. & Lot, Roberto & Ruan, Haijun & Jiang, Zhihao, 2021. "Adaptive energy management of a battery-supercapacitor energy storage system for electric vehicles based on flexible perception and neural network fitting," Applied Energy, Elsevier, vol. 292(C).
    20. Guo, Hongqiang & Sun, Qun & Wang, Chong & Wang, Qinpu & Lu, Silong, 2018. "A systematic design and optimization method of transmission system and power management for a plug-in hybrid electric vehicle," Energy, Elsevier, vol. 148(C), pages 1006-1017.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:238:y:2019:i:c:p:401-412. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.