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Power shortfall and wastewater stress in a dense province

A conditional statement under stated assumptions, never a prediction.

2 min read0 figures0 tables5 notesNR-COUNTRY-ZAF-2026-BASELINE

Contents
  1. ·Edition home
  2. ·Executive summary
  3. 1South Africa’s risk runs through its pipes and its grid
  4. 2Key findings
  5. 3Systems and sectors at baseline
  6. 4Risks and capability
  7. 5Power shortfall and wastewater stress in a dense province
    1. 5.1 Assumptions
    2. 5.2 The cascade, step by step
    3. 5.3 The scenario as a table of steps
  8. 6Readings from the other desks
  9. 7The 2027 agenda
  10. 8Systems in depth
  11. AMethodology
  12. BData appendix
  13. CReferences and record
  14. ·Complete edition, for print

5.1Assumptions

Scenario SCN-ZAF-PWR-01: what is assumed, and what is held constant.

Baseline
the 2026 reference state in this edition
Drivers
a winter or summer supply shortfall of several weeks in a dense province, followed by heavy rain
Analogues
load-shedding of 2024 and 20255; KwaZulu-Natal 202214; Eastern Cape 202515
Interventions
none modelled; the specification describes the unmitigated case
Run state
narrative specification; quantified Foundry run scheduled for Q1 2027

5.2The cascade, step by step

  1. 1

    ENE → WAT

    pumping and treatment lose power where backup is thin

    grid evidence5

  2. 2

    WAT → HLT

    untreated discharge and supply gaps raise exposure to waterborne disease

    Green Drop evidence9

  3. 3

    CLI → INF

    heavy rain damages roads and treatment works

    KwaZulu-Natal 202214

  4. 4

    INF → FOO

    flooded roads delay food and fuel distribution

    Eastern Cape 202515

  5. 5

    ENE → FIN

    repair and tariff costs fall on municipal and household budgets

    tariff path5

  6. 6

    WAT → HLT

    clinics that treat chronic disease lose water and power

    HIV population1

5.3The scenario as a table of steps

How the shock in scenario SCN-ZAF-PWR-01 would travel through South Africa’s coupled systems, step by step, under the assumptions the edition states.

StepWhat happensSource
01 Energy to waterPumping and treatment lose power where backup is thin. Analogue or source: grid evidence [5].Edition ZAF, scenario SCN-ZAF-PWR-01, step 1
02 Water to healthUntreated discharge and supply gaps raise exposure to waterborne disease. Analogue or source: Green Drop evidence [9].Edition ZAF, scenario SCN-ZAF-PWR-01, step 2
03 Climate to infrastructureHeavy rain damages roads and treatment works. Analogue or source: KwaZulu-Natal 2022 [14].Edition ZAF, scenario SCN-ZAF-PWR-01, step 3
04 Infrastructure to foodFlooded roads delay food and fuel distribution. Analogue or source: Eastern Cape 2025 [15].Edition ZAF, scenario SCN-ZAF-PWR-01, step 4
05 Energy to financeRepair and tariff costs fall on municipal and household budgets. Analogue or source: tariff path [5].Edition ZAF, scenario SCN-ZAF-PWR-01, step 5
06 Water to healthClinics that treat chronic disease lose water and power. Analogue or source: HIV population [1].Edition ZAF, scenario SCN-ZAF-PWR-01, step 6

A teaching model of a conditional scenario under the edition’s stated assumptions: not a forecast, not a prediction and not a warning. Sources: South Africa 2026, scenario SCN-ZAF-PWR-01 (2026); South Africa 2026, references (NR-CIT-1) (2026).

Notes

Numbers are the edition’s reference numbers, so a note reads the same in every chapter. The full list, with every source and its licence, is in Annex C. Annex C, references

  1. 5Council for Scientific and Industrial Research (ed.), “Loadshedding down 82% in H1 2025 as demand eases and EAF edges up, but tariffs still exceed inflation.” CSIR, Pretoria, 2025.back
  2. 14Bloomberg (ed.), “Death toll from flooding in South Africa’s KZN rises to 459.” Bloomberg News, 29 May 2022.back
  3. 15Eastern Cape Provincial Government (ed.), flood recovery update reporting 102 flood-related deaths. Reported by Pondoland Times, Eastern Cape, 2025.back
  4. 9Parliamentary Monitoring Group (ed.), “Green, Blue and No Drop Reports 2025: Ministry briefing,” Portfolio Committee on Water and Sanitation, 9 June 2026. PMG, Cape Town, 2026.back
  5. 1Statistics South Africa (ed.), Mid-year population estimates 2026, Statistical release P0302. Stats SA, Pretoria, July 2026.back

Cite this chapter

Valadbaygi, S. (Ed.). (2026). Chapter 5: Power shortfall and wastewater stress in a dense province. In South Africa Systems Risk and Resilience Report 2026: The State of South Africa’s Interdependent Systems (Baseline Edition 2026, Report No. NR-COUNTRY-ZAF-2026-BASELINE) [Draft under review]. The Global Centre for Risk and Innovation (GCRI).

Every citation form of the whole report, BibTeX and RIS included, is on the edition home. Cite this report

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Sector signature

The sectors behind South Africa.

A reading aid: the sectors the findings run through and how strongly they depend on each other.

Select corners · hover lines6 / 15 relations

Signature

Water and its partners

Water gives irrigation to food (0.8), cooling water and hydropower to energy (0.6) and environmental flows to biodiversity (0.6).

W · E · I · F · H · B

Sectors
4 of 6
Relations
6 of 15
Coupling
0.43 share of total

Strongest relations in play

  • Food → Biodiversity · land conversion0.6
  • Water → Energy · cooling water and hydropower0.6
  • Water → Food · irrigation0.8
  • Water → Biodiversity · environmental flows0.6
Teaching values for a typical city-region, not measurements for any place. Coupling is the summed strength of the relations in play, as a share of all fifteen.
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