Article Contents
ABOUT THIS ARTICLE
The Innovation > 2024 Vol. 5 > No. 3
Next Article Previous Article
LETTER   Open Access     Cite

Carbon-neutral pathway to mitigating transport-power grid cross-sector effects

  • 1.

    State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

  • 2.

    National Engineering Laboratory for Big Data Analysis and Applications, Peking University, Beijing 100871, China

  • 3.

    Peking University Ordos Research Institute of Energy, Ordos 017000, China

  • 4.

    State Key Laboratory of Power Systems and Generation Equipment, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China

  • 5.

    School of Electrical Engineering, Guangxi University, Nanning 530004, China

  • 6.

    Department of Industrial Engineering and Management, College of Engineering, Peking University, Beijing 100871, China

  • 7.

    Energy and Resources Group, and Goldman School of Public Policy, University of California, Berkeley, Berkeley, CA 94720, USA

    • Show all affliationsShow less
More Information
The Innovation  5(3),  https://doi.org/10.1016/j.xinn.2024.100611  |  Cite this article
    • FullText(HTML)
  • 加载中
    • REFERENCES
  • [1] Wang, K., Li, A., and Qu, X. (2023). Urban aerial mobility: Network structure, transportation benefits, and Sino-US comparison. Innovation 4(2): 100393. https://doi.org/10.1016/j.xinn.2023.100393.

    View in Article CrossRef Google Scholar

    [2] Cai, Y., Woollacott, J., Beach, R.H., et al. (2023). Insights from adding transportation sector detail into an economy-wide model: The case of the ADAGE CGE model. Energy Econ. 123: 1–24. https://doi.org/10.1016/j.eneco.2023.106710.

    View in Article CrossRef Google Scholar

    [3] Cohen, S.M., Iyer, G., Brown, M., et al. (2021). How structural differences influence cross-model consistency: An electric sector case study. Renew. Sustain. Energy Rev. 144: 111009. https://doi.org/10.1016/j.rser.2021.111009.

    View in Article CrossRef Google Scholar

    [4] Zhou, X.Y., Xu, Z., Zheng, J., et al. (2023). Internal spillover effect of carbon emission between transportation sectors and electricity generation sectors. Renew. Energy 208: 356–366. https://doi.org/10.1016/j.renene.2023.03.052.

    View in Article CrossRef Google Scholar

    [5] Bekun, F.V. (2022). Mitigating emission in India: Accounting for the role of real income, renewable energy consumption and investment in energy. Int. J. Energy Econ. 12(1): 188–192. https://doi.org/10.32479/ijeep.12652.

    View in Article CrossRef Google Scholar

    [6] Ahmadi, S.E., Kazemi-Razi, S.M., Marzband, M., et al. (2023). Multiobjective stochastic techno-economic-environmental optimization of distribution networks with G2V and V2G systems. Elec. Power Syst. Res. 218: 109195. https://doi.org/10.1016/j.epsr.2023.109195.

    View in Article CrossRef Google Scholar

    [7] Ahmad, F., Ashraf, I., Iqbal, A., et al. (2022). A novel AI approach for optimal deployment of EV fast charging station and reliability analysis with solar based DGs in distribution network. Energy Rep. 8: 11646–11660. https://doi.org/10.1016/j.egyr.2022.09.058.

    View in Article CrossRef Google Scholar

    [8] Aghdam, F.H., Mudiyanselage, M.W., Mohammadi-Ivatloo, B., et al. (2023). Optimal scheduling of multienergy type virtual energy storage system in reconfigurable distribution networks for congestion management. Appl. Energy 333: 120569. https://doi.org/10.1016/j.apenergy.2022.120569.

    View in Article CrossRef Google Scholar

    [9] Wang, F., Harindintwali, J.D., Yuan, Z., et al. (2021). Technologies and perspectives for achieving carbon neutrality. Innovation 2(4): 100180. https://doi.org/10.1016/j.xinn.2021.100180.

    View in Article CrossRef Google Scholar

    [10] Ma, J., Kong, H.W., Wang, J.X., et al. (2023). Carbon-neutral pathway to mitigating transport-power grid cross-sector effects: Supplementary information. Preprint at ResearchGate. https://doi.org/10.13140/RG.2.2.31160.93445/1.

    View in Article CrossRef Google Scholar

    • Cited by

  • Cite this article:

    Ma J., Kong H., Wang J., et al., (2024). Carbon-neutral pathway to mitigating transport-power grid cross-sector effects. The Innovation 5(3), 100611. https://doi.org/10.1016/j.xinn.2024.100611
    Ma J., Kong H., Wang J., et al., (2024). Carbon-neutral pathway to mitigating transport-power grid cross-sector effects. The Innovation 5(3), 100611. https://doi.org/10.1016/j.xinn.2024.100611

Welcome!

To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.

PDF
Figures(1)    

Share

  • Share the QR code with wechat scanning code to friends and circle of friends.

Article Metrics

Article views(2772) PDF downloads(717)

Relative Articles

Cited by

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return

    {{newsColumn.name}}

    {{newsColumn.name}}

    Collections

    Stay connected

    {{newsColumn.name}}

    Copyright © Innovation Press   Published articles are licensed under CC BY with copyright retained by the authors.
    (Website Visits: {{statistics.scanCount}})