IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v38y2010i5p2431-2437.html
   My bibliography  Save this article

Projections of US GHG reductions from nuclear power new capacity based on historic levels of investment

Author

Listed:
  • Besmann, Theodore M.

Abstract

Historical rates of capital investment in nuclear plant construction were used as a guide to estimate the potential rate of future capacity introduction. The total linear rate of capital expenditure over the entire period of historical construction from 1964 to 1990 was determined to equal $11.5 billion/yr, and that for the period of peak construction from 1973 to 1985 was computed as $17.9 billion/yr, all in 2004$. These values were used with a variety of current capital cost estimates for nuclear construction to obtain several scenarios for possible future nuclear capacity additions. These values were used to obtain the effect of projected nuclear generating capacity on GHG emissions assuming nuclear would directly replace coal-fired generation. It was concluded that actual reductions in emissions would not be experienced until 2038, yet growth in emissions from electrical production would be slowed through that period. Due to the significant time to introduce large-scale changes in the utility sector, nuclear energy cannot have a dramatic short-term effect on emissions. Nuclear power, however, can have a major positive longer term impact, particularly under more favorable cost and investment conditions.

Suggested Citation

  • Besmann, Theodore M., 2010. "Projections of US GHG reductions from nuclear power new capacity based on historic levels of investment," Energy Policy, Elsevier, vol. 38(5), pages 2431-2437, May.
  • Handle: RePEc:eee:enepol:v:38:y:2010:i:5:p:2431-2437
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(09)00992-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Koomey, Jonathan & Hultman, Nathan E., 2007. "A reactor-level analysis of busbar costs for US nuclear plants, 1970-2005," Energy Policy, Elsevier, vol. 35(11), pages 5630-5642, November.
    2. Weisser, Daniel, 2007. "A guide to life-cycle greenhouse gas (GHG) emissions from electric supply technologies," Energy, Elsevier, vol. 32(9), pages 1543-1559.
    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. Kiriyama, Eriko & Kajikawa, Yuya & Fujita, Katsuhide & Iwata, Shuichi, 2013. "A lead for transvaluation of global nuclear energy research and funded projects in Japan," Applied Energy, Elsevier, vol. 109(C), pages 145-153.
    2. Tang, Ling & Yu, Lean & He, Kaijian, 2014. "A novel data-characteristic-driven modeling methodology for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 128(C), pages 1-14.
    3. Ding, Song & Li, Ruojin & Wu, Shu & Zhou, Weijie, 2021. "Application of a novel structure-adaptative grey model with adjustable time power item for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 298(C).
    4. Tolón-Becerra, A. & Lastra-Bravo, X. & Bienvenido-Bárcena, F., 2010. "Methodology proposal for territorial distribution of greenhouse gas reduction percentages in the EU according to the strategic energy policy goal," Applied Energy, Elsevier, vol. 87(11), pages 3552-3564, November.
    5. Tang, Ling & Yu, Lean & Wang, Shuai & Li, Jianping & Wang, Shouyang, 2012. "A novel hybrid ensemble learning paradigm for nuclear energy consumption forecasting," Applied Energy, Elsevier, vol. 93(C), pages 432-443.
    6. Ling Tang & Shuai Wang & Kaijian He & Shouyang Wang, 2015. "A novel mode-characteristic-based decomposition ensemble model for nuclear energy consumption forecasting," Annals of Operations Research, Springer, vol. 234(1), pages 111-132, November.

    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. Ahmad, Ali & Ramana, M.V., 2014. "Too costly to matter: Economics of nuclear power for Saudi Arabia," Energy, Elsevier, vol. 69(C), pages 682-694.
    2. Schmeda-Lopez, Diego & McConnaughy, Thomas B. & McFarland, Eric W., 2018. "Radiation enhanced chemical production: Improving the value proposition of nuclear power," Energy, Elsevier, vol. 162(C), pages 491-504.
    3. Jacobson, Mark Z. & Delucchi, Mark A., 2011. "Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials," Energy Policy, Elsevier, vol. 39(3), pages 1154-1169, March.
    4. Yi, Ji Hyun & Ko, Woong & Park, Jong-Keun & Park, Hyeongon, 2018. "Impact of carbon emission constraint on design of small scale multi-energy system," Energy, Elsevier, vol. 161(C), pages 792-808.
    5. Zhang, Ruirui & Wang, Guiling & Shen, Xiaoxu & Wang, Jinfeng & Tan, Xianfeng & Feng, Shoutao & Hong, Jinglan, 2020. "Is geothermal heating environmentally superior than coal fired heating in China?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    6. Emblemsvåg, Jan, 2022. "Wind energy is not sustainable when balanced by fossil energy," Applied Energy, Elsevier, vol. 305(C).
    7. Kumar, Indraneel & Tyner, Wallace E. & Sinha, Kumares C., 2016. "Input–output life cycle environmental assessment of greenhouse gas emissions from utility scale wind energy in the United States," Energy Policy, Elsevier, vol. 89(C), pages 294-301.
    8. Kim, Dongin & Han, Jeehoon, 2020. "Comprehensive analysis of two catalytic processes to produce formic acid from carbon dioxide," Applied Energy, Elsevier, vol. 264(C).
    9. Yu, Shiwei & Wei, Yi-Ming & Guo, Haixiang & Ding, Liping, 2014. "Carbon emission coefficient measurement of the coal-to-power energy chain in China," Applied Energy, Elsevier, vol. 114(C), pages 290-300.
    10. Lovering, Jessica R. & Yip, Arthur & Nordhaus, Ted, 2016. "Historical construction costs of global nuclear power reactors," Energy Policy, Elsevier, vol. 91(C), pages 371-382.
    11. Hao, Xiaoli & Yang, Hongxing & Zhang, Guoqiang, 2008. "Trigeneration: A new way for landfill gas utilization and its feasibility in Hong Kong," Energy Policy, Elsevier, vol. 36(10), pages 3662-3673, October.
    12. Ozcan, Mustafa, 2016. "Estimation of Turkey׳s GHG emissions from electricity generation by fuel types," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 832-840.
    13. Byun, Hyunsuk & Shin, Jungwoo & Lee, Chul-Yong, 2018. "Using a discrete choice experiment to predict the penetration possibility of environmentally friendly vehicles," Energy, Elsevier, vol. 144(C), pages 312-321.
    14. Howard, B. & Waite, M. & Modi, V., 2017. "Current and near-term GHG emissions factors from electricity production for New York State and New York City," Applied Energy, Elsevier, vol. 187(C), pages 255-271.
    15. Avri Eitan, 2021. "Promoting Renewable Energy to Cope with Climate Change—Policy Discourse in Israel," Sustainability, MDPI, vol. 13(6), pages 1-17, March.
    16. Sovacool, Benjamin K., 2008. "Valuing the greenhouse gas emissions from nuclear power: A critical survey," Energy Policy, Elsevier, vol. 36(8), pages 2940-2953, August.
    17. repec:ces:ifodic:v:10:y:2012:i:4:p:19074526 is not listed on IDEAS
    18. Elaine Aparecida Rodrigues & Maurício Lamano Ferreira & Amanda Rodrigues de Carvalho & José Oscar William Vega Bustillos & Rodrigo Antonio Braga Moraes Victor & Marcelo Gomes Sodré & Delvonei Alves de, 2022. "Land, Water, and Climate Issues in Large and Megacities under the Lens of Nuclear Science: An Approach for Achieving Sustainable Development Goal (SDG11)," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    19. Paul E. Hardisty & Tom S. Clark & Robert G. Hynes, 2012. "Life Cycle Greenhouse Gas Emissions from Electricity Generation: A Comparative Analysis of Australian Energy Sources," Energies, MDPI, vol. 5(4), pages 1-26, March.
    20. Helge Bormann & Inge Andersen Martinez, 2014. "Towards an Indicator Based Framework Analysing the Suitability of Existing Dams for Energy Storage," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(6), pages 1613-1630, April.
    21. Kaldellis, John K. & Zafirakis, D., 2011. "The wind energy (r)evolution: A short review of a long history," Renewable Energy, Elsevier, vol. 36(7), pages 1887-1901.

    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:enepol:v:38:y:2010:i:5:p:2431-2437. 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/locate/enpol .

    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.