IDEAS home Printed from https://ideas.repec.org/a/spr/climat/v123y2014i3p665-676.html
   My bibliography  Save this article

Impacts of different diffusion scenarios for mitigation technology options and of model representations regarding renewables intermittency on evaluations of CO 2 emissions reductions

Author

Listed:
  • Fuminori Sano
  • Keigo Akimoto
  • Kenichi Wada

Abstract

This paper evaluated the impacts of climate change mitigation technology options on CO 2 emission reductions and the effects of model representations regarding renewable intermittency on the assessment of reduction by using a world energy systems model. First, different diffusion scenarios for carbon dioxide capture and storage (CCS), nuclear power, and wind power and solar PV are selected from EMF27 scenarios to analyze their impacts on CO 2 emission reductions. These technologies are important for reducing CO 2 intensity of electricity, and the impacts of their diffusion levels on mitigation costs are significant, according to the analyses. Availability of CCS in particular, among the three kinds of technologies, has a large impact on the marginal CO 2 abatement cost. In order to analyze effects of model representations regarding renewables intermittency, four different representations are assumed within the model. A simplistic model representation that does not take into consideration the intermittency of wind power and solar PV evaluates larger contributions of the energy sources than those evaluated by a model representation that takes intermittency into consideration. Appropriate consideration of renewables intermittency within global energy systems models will be important for realistic evaluations of climate change mitigation scenarios. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Fuminori Sano & Keigo Akimoto & Kenichi Wada, 2014. "Impacts of different diffusion scenarios for mitigation technology options and of model representations regarding renewables intermittency on evaluations of CO 2 emissions reductions," Climatic Change, Springer, vol. 123(3), pages 665-676, April.
  • Handle: RePEc:spr:climat:v:123:y:2014:i:3:p:665-676
    DOI: 10.1007/s10584-013-0896-z
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10584-013-0896-z
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10584-013-0896-z?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. Georgilakis, Pavlos S., 2008. "Technical challenges associated with the integration of wind power into power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 852-863, April.
    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. Agnieszka Sompolska-Rzechuła & Agnieszka Kurdyś-Kujawska, 2021. "Towards Understanding Interactions between Sustainable Development Goals: The Role of Climate-Well-Being Linkages. Experiences of EU Countries," Energies, MDPI, vol. 14(7), pages 1-20, April.
    2. Shoai-Tehrani, Bianka & Akimoto, Keigo & Sano, Fuminori, 2018. "Low-carbon investments from the perspective of electric utilities: The burden of the past," Utilities Policy, Elsevier, vol. 51(C), pages 18-32.

    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. Hughes, Larry, 2010. "Meeting residential space heating demand with wind-generated electricity," Renewable Energy, Elsevier, vol. 35(8), pages 1765-1772.
    2. Da Liu & Shou-Kai Wang & Jin-Chen Liu & Han Huang & Xing-Ping Zhang & Yi Feng & Wei-Jun Wang, 2017. "Optimum Subsidy to Promote Electric Boiler Investment to Accommodate Wind Power," Sustainability, MDPI, vol. 9(6), pages 1-11, May.
    3. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    4. Rabiee, Abdorreza & Khorramdel, Hossein & Aghaei, Jamshid, 2013. "A review of energy storage systems in microgrids with wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 18(C), pages 316-326.
    5. William Paul Bell & John Foster, 2017. "Using solar PV feed-in tariff policy history to inform a sustainable flexible pricing regime to enhance the diffusion of energy storage and electric vehicles," Journal of Bioeconomics, Springer, vol. 19(1), pages 127-145, April.
    6. Lewis, Matt & McNaughton, James & Márquez-Dominguez, Concha & Todeschini, Grazia & Togneri, Michael & Masters, Ian & Allmark, Matthew & Stallard, Tim & Neill, Simon & Goward-Brown, Alice & Robins, Pet, 2019. "Power variability of tidal-stream energy and implications for electricity supply," Energy, Elsevier, vol. 183(C), pages 1061-1074.
    7. Fogelberg, Sara & Lazarczyk, Ewa, 2017. "Wind power volatility and its impact on production failures in the Nordic electricity market," Renewable Energy, Elsevier, vol. 105(C), pages 96-105.
    8. Bell, William Paul & Wild, Phillip & Foster, John & Hewson, Michael, 2017. "Revitalising the wind power induced merit order effect to reduce wholesale and retail electricity prices in Australia," Energy Economics, Elsevier, vol. 67(C), pages 224-241.
    9. Rappaport, Ron D. & Miles, John, 2017. "Cloud energy storage for grid scale applications in the UK," Energy Policy, Elsevier, vol. 109(C), pages 609-622.
    10. Zhang, Chi & Wei, Haikun & Zhao, Junsheng & Liu, Tianhong & Zhu, Tingting & Zhang, Kanjian, 2016. "Short-term wind speed forecasting using empirical mode decomposition and feature selection," Renewable Energy, Elsevier, vol. 96(PA), pages 727-737.
    11. Furuoka, Fumitaka, 2017. "Renewable electricity consumption and economic development: New findings from the Baltic countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 450-463.
    12. Ayman M. Mansour & Abdulaziz Almutairi & Saeed Alyami & Mohammad A. Obeidat & Dhafer Almkahles & Jagabar Sathik, 2021. "A Unique Unified Wind Speed Approach to Decision-Making for Dispersed Locations," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    13. Tarroja, Brian & Mueller, Fabian & Eichman, Joshua D. & Samuelsen, Scott, 2012. "Metrics for evaluating the impacts of intermittent renewable generation on utility load-balancing," Energy, Elsevier, vol. 42(1), pages 546-562.
    14. Robles, Eider & Haro-Larrode, Marta & Santos-Mugica, Maider & Etxegarai, Agurtzane & Tedeschi, Elisabetta, 2019. "Comparative analysis of European grid codes relevant to offshore renewable energy installations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 102(C), pages 171-185.
    15. Kar, Sanjay Kumar & Sharma, Atul, 2015. "Wind power developments in India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 264-275.
    16. Ukashatu Abubakar & Saad Mekhilef & Hazlie Mokhlis & Mehdi Seyedmahmoudian & Ben Horan & Alex Stojcevski & Hussain Bassi & Muhyaddin Jamal Hosin Rawa, 2018. "Transient Faults in Wind Energy Conversion Systems: Analysis, Modelling Methodologies and Remedies," Energies, MDPI, vol. 11(9), pages 1-33, August.
    17. Chiou-Jye Huang & Ping-Huan Kuo, 2018. "A Short-Term Wind Speed Forecasting Model by Using Artificial Neural Networks with Stochastic Optimization for Renewable Energy Systems," Energies, MDPI, vol. 11(10), pages 1-20, October.
    18. Zhao, Pan & Wang, Peizi & Xu, Wenpan & Zhang, Shiqiang & Wang, Jiangfeng & Dai, Yiping, 2021. "The survey of the combined heat and compressed air energy storage (CH-CAES) system with dual power levels turbomachinery configuration for wind power peak shaving based spectral analysis," Energy, Elsevier, vol. 215(PB).
    19. Malhotra, Abhishek & Battke, Benedikt & Beuse, Martin & Stephan, Annegret & Schmidt, Tobias, 2016. "Use cases for stationary battery technologies: A review of the literature and existing projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 705-721.
    20. Devlin, Joseph & Li, Kang & Higgins, Paraic & Foley, Aoife, 2016. "The importance of gas infrastructure in power systems with high wind power penetrations," Applied Energy, Elsevier, vol. 167(C), pages 294-304.

    More about this item

    Statistics

    Access and download statistics

    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:spr:climat:v:123:y:2014:i:3:p:665-676. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.