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May 31, 2026Sustainable Energy Technologies and Assessments0 citationsOpen Access

Dynamic modelling of South Africa’s emissions reduction pathways under its 2030 Nationally Determined Contribution (NDC) targets

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OIOliver I. InahUAUdochukwu Bola AkuruPSProsper Zanu Sotenga

Key Points

  • This research aims to analyze South Africa's emissions reduction pathways under its 2030 NDC targets. It explores the impact of various factors driving historical emissions growth and potential mitigation strategies.
  • Utilized dynamic modeling to project emission pathways under different scenarios
  • Conducted Monte Carlo analysis to estimate the probability of peak emissions
  • Assessed investment requirements for the Just Energy Transition Investment Plan (JET-IP)
  • Historical emissions growth attributed to population, income, and economic structure, totaling 173.2 MtCO2 contribution.
  • Energy efficiency efforts led to a reduction of 253.34 MtCO2, primarily impacted by load-shedding afterwards.
  • Probabilities suggest peak emissions by 2023 under optimal scenarios, while business-as-usual delays peak to 2048-2049.

Abstract

• Historical emissions growth is driven by population (83.4 MtCO 2 ), income (57.2 MtCO 2 ), and economic structure (32.6 MtCO 2 ), reinforcing carbon lock-in. • Energy efficiency provided the only sustained mitigation (−253.34 MtCO 2 ), but post-2012 gains were crisis-coincident with load-shedding-induced output suppression, not structural transformation. • The 239.1 MtCO 2 of carbon space is not a buffer to fill, but a choice: lock in fossil-dependent growth or invest in a just transition that makes the ceiling irrelevant. • Closing the implementation gap requires scaling JET-IP investment of R13,175 billion by 2050, with 63% required after 2035. • Monte Carlo analysis confirms peak emissions occur in 2023 with near-certainty under Moderate and Advanced scenarios, while BAU and NDC-Ceiling delay peaking to 2048–2049 (61–66% probability).

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Cite This Study

Inah et al. (2026) studied this question.

synapsesocial.com/papers/6a1bcfb05783ba022b6fb9f3https://doi.org/10.1016/j.seta.2026.105103
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