MODELLING ENERGY CONSUMPTION AND CARBON DIOXIDE EMISSIONS OF FOSSIL FUELS AND NUCLEAR ENERGY USING LOTKA-VOLTERRA EQUATIONS

B. H. Tsai*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study applied the Lotka-Volterra model to energy consumption and carbon dioxide (CO2) emissions from 1965 to 2017 in the United States to explore the feasibility of replacing fossil fuels with nuclear energy. Parameter estimations suggested that the consumption of nuclear energy increases the consumption of fossil fuels, thereby increasing CO2 emissions. Consistent with the arguments in Sovacool (2008) and Lenzen (2008), our results suggested that the mining, milling, conversion, enrichment, fuel fabrication, construction of nuclear plants, nuclear waste treatment, and decommissioning increase the consumption of fossil fuels and hence CO2 emissions. Utilization of nuclear energy fails to reduce fossil fuel consumption and CO2 emissions to achieve the environmental protection goals in the United States. By applying the Lyapunov functions to conduct equilibrium analysis, our investigation verified that the consumption of fossil fuels will ultimately be ten-fold the consumption of nuclear energy in the long term. Furthermore, the results of forecast accuracy show that the predictive ability of our proposed Lotka-Volterra model is superior to that of Bass model both in forecasting energy consumption and CO2 emissions because the Lotka-Volterra model considers how nuclear energy affects the consumption and CO2 emissions of fossil fuels, while the Bass model does not.

Original languageEnglish
Pages (from-to)1435-1455
Number of pages21
JournalApplied Ecology and Environmental Research
Volume20
Issue number2
DOIs
StatePublished - 2022

Keywords

  • CO
  • Lyapunov functions
  • decommissioning
  • equilibrium analysis
  • forecast accuracy

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