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Beyond carbon: Quantifying environmental externalities as energy for hydroelectric and nuclear power

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  • Sheldon, Seth
  • Hadian, Saeed
  • Zik, Ory

Abstract

Together, hydroelectric and nuclear power account for roughly 30% of all electricity generated on earth. Both technologies are often presented as answers to the dual challenge of meeting ever-increasing global energy demand while meeting stricter GHG (greenhouse gas) emissions targets. Indeed, the last two decades have witnessed a great deal of research on the life cycle GHG emissions of these technologies. On the basis of carbon intensity, the general consensus is that these technologies are more efficient than all other technologies of similar scale (e.g. coal, natural gas). However, hydroelectric and nuclear power come with environmental costs that sit outside the boundaries of traditional energy-based accounting methods, including water consumption, land change, and waste generation. We provide a novel framework that integrates energy and environmental life cycle assessment techniques so that dissimilar impacts can be more equitably assessed. The analysis considers diffusion- and centrifuge-based nuclear technologies, as well as reservoir and run-of-river hydropower. Results suggest that these resources are substantially less efficient (in our examples, anywhere from 5 to 85%) when key externalities are included. In the conclusion, we reflect on the benefits of using a physics-based method of measuring the externalities of power generation.

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  • Sheldon, Seth & Hadian, Saeed & Zik, Ory, 2015. "Beyond carbon: Quantifying environmental externalities as energy for hydroelectric and nuclear power," Energy, Elsevier, vol. 84(C), pages 36-44.
  • Handle: RePEc:eee:energy:v:84:y:2015:i:c:p:36-44
    DOI: 10.1016/j.energy.2015.01.116
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    Cited by:

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    2. Laura Rodríguez-Penalonga & B. Yolanda Moratilla Soria, 2017. "A Review of the Nuclear Fuel Cycle Strategies and the Spent Nuclear Fuel Management Technologies," Energies, MDPI, vol. 10(8), pages 1-16, August.
    3. Yao, Huizong & Zang, Chuanfu, 2021. "The spatiotemporal characteristics of electrical energy supply-demand and the green economy outlook of Guangdong Province, China," Energy, Elsevier, vol. 214(C).
    4. Corsatea, Teodora Diana & Giaccaria, Sergio, 2018. "Market regulation and environmental productivity changes in the electricity and gas sector of 13 observed EU countries," Energy, Elsevier, vol. 164(C), pages 1286-1297.
    5. Jacqueline Adelowo & Mathias Mier & Christoph Weissbart, 2021. "Taxation of Carbon Emissions and Air Pollution in Intertemporal Optimization Frameworks with Social and Private Discount Rates," ifo Working Paper Series 360, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.

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