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Modelling integrated SDG pathways: A case study analysis of goals 6, 7, 12 and 13

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Modelling integrated SDG pathways:

A case study analysis of goals 6, 7, 12 and 13

Simon Parkinson

Volker Krey, David McCollum, Edward Byers, Ned Djilali and Keywan Riahi

11th Annual IAMC Meeting, Seville, Spain, November 2018

(2)

The World in 2050 (TWI2050) is a global research initiative in support of a successful implementation of the United Nations’ 2030 Agenda.

• The goal is to provide the fact-based knowledge to support the policy process and implementation of the SDGs.

(3)

Some previous work

• GEA (2012), van Vuuren et al. (2015)

– Pathways to achieve multiple sustainability targets

• Kim et al. (2016)

– Balancing water availability and use at the basin-scale in GCAM

• Gao and Bryan (2017)

– Integrated SDG pathways from a land-use perspective for Australia

(4)

Research Questions

• How can we quantify interactions between water, energy and climate SDGs?

• How might sustainable consumption behavior impact SDG implementation costs?

(5)

`

IIASA Global IAM Framework Consistent climate and human development assumptions

Consistent systems

transformation scenarios

MESSAGEix (Energy) CWatM

(Water)

GLOBIOM (Land)

Water Demands

& Infrastructure Water Availability

Land-cover &

Irrigation schedule Water Availability

Land Mitigation / Bioenergy Potential

Land Mitigation Bioenergy

Objective of Global IAM Development

Integrated representation of water-energy-land transformation

Integrated SDG Policies

Implementation costs and other environmental impacts

Fricko et al. 2017; Burek et al. 2018

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Scenario analysis

• SSP2 setup from Fricko et al. (2017)

• Energy SDG and Paris Agreement policies implemented as in McCollum et al. (2018)

• New water SDG indicators for water access, treatment, efficiency and stress.

• Comparison between scenarios with and without multiple SDG policies to understand incremental investment costs

(7)

`

Fraction of withdrawals from improved sources

Baseline SDG6 Pathway

Access to piped water infrastructure under different scenarios

South Asia

Sub-Saharan Africa Eastern Europe M. East & N. Africa Latin America

Former Soviet Pacific Oceanic Western Europe Pacific Asia North America

Central Asia (China)

Target 6.1

Universal access to safe drinking water by 2030

Increased investment into water distribution and wastewater collection

(8)

`

Baseline SDG6 Pathway

Fraction of return-flow treated

Access to wastewater treatment under different scenarios

South Asia

Sub-Saharan Africa Eastern Europe M. East & N. Africa Latin America

Former Soviet Pacific Oceanic Western Europe Pacific Asia North America

Central Asia (China)

Target 6.3

Half of all wastewater treated by 2030

Increased investment into wastewater treatment

(9)

Projecting infrastructure gaps under clean water goals

(difference between SDG6 and baseline scenario)

Water-stressed regions need to find unconventional sources of freshwater supply to meet increasing demands for water!

Parkinson et al. (2018)

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`

Projecting infrastructure demand under clean water goals

Criteria for expansion

Distance to coastline

Water stress level from hydrological model Low stress Med stress High stress Expected capacity in 2030 [ million cubic meters ]

Recycling

Desal

Where can we expect advanced water technologies to expand?

(11)

`

Long-term energy planning under water efficiency constraints

SDG6

pathways are constrained to consume 10%

less water by 2030 than in 2010

Phase out of once-through cooling

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Global Investment Portfolios

Average annual investments 2015 to 2030

Preliminary results: Do not cite or quote Compared to Baseline

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Regional Investments

2015-2030, compared to baseline

Preliminary results: Do not cite or quote

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Incorporating representation of sustainable energy consumption

Gruebler et al. (2018)

(15)

`

Influence of energy efficiency on water costs

Preliminary results: Do not cite or quote 2030

2070

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Conclusions

Adding the SDG6 target on top of Paris Agreement increases mitigation costs due:

– Increased energy demand for water treatment

– Water efficiency investments and interplay with power plant cooling choices

– Total investment costs increase by up to 8%

– Note: this does not account for avoided adaptation costs

Water and energy conservation can significantly reduce implementation costs

Future work: Add more SDG indicators to quantify additional interactions

Thank you!

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