IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v328y2022ics0306261922014532.html
   My bibliography  Save this article

Incentivising multi-stakeholders’ proactivity and market vitality for spatiotemporal microgrids in Guangzhou-Shenzhen-Hong Kong Bay Area

Author

Listed:
  • Zhou, Yuekuan

Abstract

Sustainability transformation calls for renovation and reformation on traditional energy systems. E-mobility and electrification in building sectors provide a promising alternative for cleaner power sharing in cross-boundary regions. Meanwhile, the renewable and sustainable transition requires multi-stakeholders’ collaboration from techno-economic-environmental perspectives. In this study, spatiotemporal energy sharing mechanisms were investigated for an E-mobility-based cross-boundary energy network in Guangdong-Hong Kong-Macao Greater Bay Area. In according to the energy boundary within the district energy network, diversity in energy pricing policies for external power trading (e.g., buildings and vehicles with power grid) was integrated for cost-optimal energy interaction modes (e.g., Vehicle-to-Building (V2B) and Vehicle-to-Grid (V2G) interaction). Furthermore, dynamic energy pricing strategies in internal power trading were explored based on supply-to-demand ratio, to promote multi-stakeholders’ participation. Through the parametrical and comparative analysis, trade-off strategies on V2G price and integrated wind turbine capacity have been proposed, to comprehensively balance battery depreciation cost, internal and external trading costs. Results show that roles of hotel and commercial building transit from economic payers to income earner along with the increase in integrated capacity of renewable systems, while commercial building always acts as an income earner, and residential buildings always act as economic payers. Moreover, the annual battery depreciation cost in the V2B interaction accounts for 6.5% of the vehicle cost (0.934 × 105 RMB), and the V2G interaction can reduce the vehicle cost from 1.33 × 106 to 1.15 × 106 RMB. By adopting the dynamic energy pricing in internal power trading, the roles of vehicles will transit from economic payer (1.01 × 106 RMB in Policy 2) to income earner (0.70 × 106 RMB in Policy 5), offsetting the battery degradation cost and economically incentivising participation willingness of vehicle owners. Furthermore, to compromise battery depreciation cost, internal and external trading cost and ensure the economic benefits of vehicle owners, V2G price is identified as 2.4 RMB/kWh and 2.3 RMB/kWh for scenarios with integrated wind turbine capacity at 1 and 2 MW. Research results can provide frontier guidelines on system designers and planners, pricing policy-makers, and energy managers to collaboratively develop a smart Greater Bay Area for sustainability transformation.

Suggested Citation

  • Zhou, Yuekuan, 2022. "Incentivising multi-stakeholders’ proactivity and market vitality for spatiotemporal microgrids in Guangzhou-Shenzhen-Hong Kong Bay Area," Applied Energy, Elsevier, vol. 328(C).
  • Handle: RePEc:eee:appene:v:328:y:2022:i:c:s0306261922014532
    DOI: 10.1016/j.apenergy.2022.120196
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922014532
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2022.120196?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. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M. & Lund, Peter D., 2019. "Energy integration and interaction between buildings and vehicles: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 114(C), pages 1-1.
    2. Ani?oara DUICA & Nicoleta - Valentina FLOREA, 2018. "Challenges For Business- E-Recruitment And Modeling," Contemporary Economy Journal, Constantin Brancoveanu University, vol. 3(3), pages 19-29.
    3. Zhou, Yuekuan, 2022. "A regression learner-based approach for battery cycling ageing prediction―advances in energy management strategy and techno-economic analysis," Energy, Elsevier, vol. 256(C).
    4. Rajagopal & Vladimir Zlatev, 2018. "Business Dynamics in North America," Springer Books, Springer, number 978-3-319-57606-0, December.
    5. Atabani, A.E. & Badruddin, Irfan Anjum & Mekhilef, S. & Silitonga, A.S., 2011. "A review on global fuel economy standards, labels and technologies in the transportation sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4586-4610.
    6. Rismanchi, B., 2017. "District energy network (DEN), current global status and future development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 571-579.
    7. Liu, Jia & Zhou, Yuekuan & Yang, Hongxing & Wu, Huijun, 2022. "Uncertainty energy planning of net-zero energy communities with peer-to-peer energy trading and green vehicle storage considering climate changes by 2050 with machine learning methods," Applied Energy, Elsevier, vol. 321(C).
    8. Daniel R. A. Schallmo & Christopher A. Williams, 2018. "Digital Transformation of Business Models," SpringerBriefs in Business, in: Digital Transformation Now!, chapter 0, pages 9-13, Springer.
    9. , Aisdl, 2018. "BUSINESS DIGITALIZATION OF SMEs IN ALBANIA," OSF Preprints m9vgw, Center for Open Science.
    10. He, Yingdong & Zhou, Yuekuan & Wang, Zhe & Liu, Jia & Liu, Zhengxuan & Zhang, Guoqiang, 2021. "Quantification on fuel cell degradation and techno-economic analysis of a hydrogen-based grid-interactive residential energy sharing network with fuel-cell-powered vehicles," Applied Energy, Elsevier, vol. 303(C).
    11. UNCTAD & World Bank, 2018. "Choosing Appropriate Business Models," World Bank Publications - Reports 29465, The World Bank Group.
    12. Tumminia, Giovanni & Guarino, Francesco & Longo, Sonia & Ferraro, Marco & Cellura, Maurizio & Antonucci, Vincenzo, 2018. "Life cycle energy performances and environmental impacts of a prefabricated building module," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 272-283.
    13. Zhou, Yuekuan, 2022. "Transition towards carbon-neutral districts based on storage techniques and spatiotemporal energy sharing with electrification and hydrogenation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    14. Zhou, Yuekuan, 2022. "Energy sharing and trading on a novel spatiotemporal energy network in Guangdong-Hong Kong-Macao Greater Bay Area," Applied Energy, Elsevier, vol. 318(C).
    15. Zhang, Zutao & Zhang, Xingtian & Chen, Weiwu & Rasim, Yagubov & Salman, Waleed & Pan, Hongye & Yuan, Yanping & Wang, Chunbai, 2016. "A high-efficiency energy regenerative shock absorber using supercapacitors for renewable energy applications in range extended electric vehicle," Applied Energy, Elsevier, vol. 178(C), pages 177-188.
    16. He, Yingdong & Zhou, Yuekuan & Liu, Jia & Liu, Zhengxuan & Zhang, Guoqiang, 2022. "An inter-city energy migration framework for regional energy balance through daily commuting fuel-cell vehicles," Applied Energy, Elsevier, vol. 324(C).
    17. GhaffarianHoseini, AmirHosein & Dahlan, Nur Dalilah & Berardi, Umberto & GhaffarianHoseini, Ali & Makaremi, Nastaran & GhaffarianHoseini, Mahdiar, 2013. "Sustainable energy performances of green buildings: A review of current theories, implementations and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 1-17.
    18. Koh, S.C.L. & Smith, L. & Miah, J. & Astudillo, D. & Eufrasio, R.M. & Gladwin, D. & Brown, S. & Stone, D., 2021. "Higher 2nd life Lithium Titanate battery content in hybrid energy storage systems lowers environmental-economic impact and balances eco-efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    19. Luisetto M, 2018. "Mindset Kinetics in Management and Business World," Annals of Social Sciences & Management studies, Juniper Publishers Inc., vol. 1(2), pages 28-31, May.
    20. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M., 2021. "An energy paradigm transition framework from negative towards positive district energy sharing networks—Battery cycling aging, advanced battery management strategies, flexible vehicles-to-buildings in," Applied Energy, Elsevier, vol. 288(C).
    21. Casalicchio, Valeria & Manzolini, Giampaolo & Prina, Matteo Giacomo & Moser, David, 2022. "From investment optimization to fair benefit distribution in renewable energy community modelling," Applied Energy, Elsevier, vol. 310(C).
    22. Hsieh, I-Yun Lisa & Pan, Menghsuan Sam & Chiang, Yet-Ming & Green, William H., 2019. "Learning only buys you so much: Practical limits on battery price reduction," Applied Energy, Elsevier, vol. 239(C), pages 218-224.
    23. Mimica, Marko & Dominković, Dominik F. & Kirinčić, Vedran & Krajačić, Goran, 2022. "Soft-linking of improved spatiotemporal capacity expansion model with a power flow analysis for increased integration of renewable energy sources into interconnected archipelago," Applied Energy, Elsevier, vol. 305(C).
    24. Nejat, Payam & Jomehzadeh, Fatemeh & Taheri, Mohammad Mahdi & Gohari, Mohammad & Abd. Majid, Muhd Zaimi, 2015. "A global review of energy consumption, CO2 emissions and policy in the residential sector (with an overview of the top ten CO2 emitting countries)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 843-862.
    25. Lu, Qingchang & Farooq, Muhammad Umar & Ma, Xiaoyu & Iram, Robina, 2022. "Assessing the combining role of public-private investment as a green finance and renewable energy in carbon neutrality target," Renewable Energy, Elsevier, vol. 196(C), pages 1357-1365.
    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. Zhou, Yuekuan & Lund, Peter D., 2023. "Peer-to-peer energy sharing and trading of renewable energy in smart communities ─ trading pricing models, decision-making and agent-based collaboration," Renewable Energy, Elsevier, vol. 207(C), pages 177-193.
    2. Zhou, Yuekuan, 2023. "A dynamic self-learning grid-responsive strategy for battery sharing economy—multi-objective optimisation and posteriori multi-criteria decision making," Energy, Elsevier, vol. 266(C).
    3. Zhou, Yuekuan, 2024. "AI-driven battery ageing prediction with distributed renewable community and E-mobility energy sharing," Renewable Energy, Elsevier, vol. 225(C).
    4. Zhou, Yuekuan, 2023. "Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimisation," Renewable Energy, Elsevier, vol. 202(C), pages 1324-1341.
    5. Luo, Jianing & Yuan, Yanping & Joybari, Mahmood Mastani & Cao, Xiaoling, 2024. "Development of a prediction-based scheduling control strategy with V2B mode for PV-building-EV integrated systems," Renewable Energy, Elsevier, vol. 224(C).
    6. Can Cui & Yu Zhang, 2024. "Integration of Shared Micromobility into Public Transit: A Systematic Literature Review with Grey Literature," Sustainability, MDPI, vol. 16(9), pages 1-18, April.
    7. Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Zhou, Yuekuan & Mansouri, Seyed Amir & Jurado, Francisco, 2024. "Best-case-aware planning of photovoltaic-battery systems for multi-mode charging stations," Renewable Energy, Elsevier, vol. 225(C).
    8. Zhou, Yuekuan & Zheng, Siqian, 2024. "A co-simulated material-component-system-district framework for climate-adaption and sustainability transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    9. Zhou, Yuekuan & Liu, Xiaohua & Zhao, Qianchuan, 2024. "A stochastic vehicle schedule model for demand response and grid flexibility in a renewable-building-e-transportation-microgrid," Renewable Energy, Elsevier, vol. 221(C).

    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. Zhou, Yuekuan, 2022. "Energy sharing and trading on a novel spatiotemporal energy network in Guangdong-Hong Kong-Macao Greater Bay Area," Applied Energy, Elsevier, vol. 318(C).
    2. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M., 2021. "An energy paradigm transition framework from negative towards positive district energy sharing networks—Battery cycling aging, advanced battery management strategies, flexible vehicles-to-buildings in," Applied Energy, Elsevier, vol. 288(C).
    3. Tiwary, Nishant Kumar & Kumar, Rishi Kant & Sarraf, Shagun & Kumar, Prashant & Rana, Nripendra P., 2021. "Impact assessment of social media usage in B2B marketing: A review of the literature and a way forward," Journal of Business Research, Elsevier, vol. 131(C), pages 121-139.
    4. He, Yingdong & Zhou, Yuekuan & Liu, Jia & Liu, Zhengxuan & Zhang, Guoqiang, 2022. "An inter-city energy migration framework for regional energy balance through daily commuting fuel-cell vehicles," Applied Energy, Elsevier, vol. 324(C).
    5. Zhou, Yuekuan, 2023. "A dynamic self-learning grid-responsive strategy for battery sharing economy—multi-objective optimisation and posteriori multi-criteria decision making," Energy, Elsevier, vol. 266(C).
    6. Luo, Jianing & Yuan, Yanping & Joybari, Mahmood Mastani & Cao, Xiaoling, 2024. "Development of a prediction-based scheduling control strategy with V2B mode for PV-building-EV integrated systems," Renewable Energy, Elsevier, vol. 224(C).
    7. Zhou, Yuekuan, 2022. "A regression learner-based approach for battery cycling ageing prediction―advances in energy management strategy and techno-economic analysis," Energy, Elsevier, vol. 256(C).
    8. Zhou, Yuekuan, 2023. "Sustainable energy sharing districts with electrochemical battery degradation in design, planning, operation and multi-objective optimisation," Renewable Energy, Elsevier, vol. 202(C), pages 1324-1341.
    9. Liu, Zhengxuan & Zhou, Yuekuan & Yan, Jun & Tostado-Véliz, Marcos, 2023. "Frontier ocean thermal/power and solar PV systems for transformation towards net-zero communities," Energy, Elsevier, vol. 284(C).
    10. Tostado-Véliz, Marcos & Rezaee Jordehi, Ahmad & Zhou, Yuekuan & Mansouri, Seyed Amir & Jurado, Francisco, 2024. "Best-case-aware planning of photovoltaic-battery systems for multi-mode charging stations," Renewable Energy, Elsevier, vol. 225(C).
    11. Zhou, Yuekuan & Liu, Xiaohua & Zhao, Qianchuan, 2024. "A stochastic vehicle schedule model for demand response and grid flexibility in a renewable-building-e-transportation-microgrid," Renewable Energy, Elsevier, vol. 221(C).
    12. Zhou, Yuekuan & Zheng, Siqian, 2024. "A co-simulated material-component-system-district framework for climate-adaption and sustainability transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    13. Zhou, Yuekuan, 2022. "Transition towards carbon-neutral districts based on storage techniques and spatiotemporal energy sharing with electrification and hydrogenation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    14. Liu, Jia & Zhou, Yuekuan & Yang, Hongxing & Wu, Huijun, 2022. "Net-zero energy management and optimization of commercial building sectors with hybrid renewable energy systems integrated with energy storage of pumped hydro and hydrogen taxis," Applied Energy, Elsevier, vol. 321(C).
    15. Liu, Jia & Yang, Hongxing & Zhou, Yuekuan, 2021. "Peer-to-peer trading optimizations on net-zero energy communities with energy storage of hydrogen and battery vehicles," Applied Energy, Elsevier, vol. 302(C).
    16. Zhou, Yuekuan, 2024. "AI-driven battery ageing prediction with distributed renewable community and E-mobility energy sharing," Renewable Energy, Elsevier, vol. 225(C).
    17. Bartolozzi, Irene & Rizzi, Francesco & Frey, Marco, 2017. "Are district heating systems and renewable energy sources always an environmental win-win solution? A life cycle assessment case study in Tuscany, Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 408-420.
    18. Zhou, Yuekuan & Zheng, Siqian & Hensen, Jan L.M., 2024. "Machine learning-based digital district heating/cooling with renewable integrations and advanced low-carbon transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    19. Buonomano, Annamaria, 2020. "Building to Vehicle to Building concept: A comprehensive parametric and sensitivity analysis for decision making aims," Applied Energy, Elsevier, vol. 261(C).
    20. Hemmati, Reza & Bornapour, Seyyed Mohammad & Saboori, Hedayat, 2024. "Standalone hybrid power-hydrogen system incorporating daily-seasonal green hydrogen storage and hydrogen refueling station," Energy, Elsevier, vol. 295(C).

    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:328:y:2022:i:c:s0306261922014532. 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.