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Strategic Environmental Assessment for the roll out of wind and solar photovoltaic (PV) energy in South Africa Norma Malatji 1 , Kedibone Lamula 1 , Lydia Cape 2 , Fahiema Daniels 1 , Tsamaelo Malebu 1 , Abulele Adams 2 and Reinett Ramogotshi 2
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Strategic Environmental Assessment for the roll out of wind and solar

photovoltaic (PV) energy in South Africa

Norma Malatji 1, Kedibone Lamula1, Lydia Cape2, Fahiema Daniels1, Tsamaelo Malebu1, Abulele Adams2 and Reinett Ramogotshi2

- Renewable energy is energy produced using natural resources that are

constantly replaced and never run out such as wind and sunlight.

- South Africa has experienced challenges with power supply in the past

- In order to resolve some of the energy challenges, South Africa has

identified a suite of energy sources as part of the integrated resource plan

- In 2012, as part of the NDP, 18 Strategic Integrated Projects were

identified, one of them was in support of the further development of the

renewable energy industry

- In 2013, The National Department of Environmental Affairs (DEA)

commissioned the wind and solar photovoltaic (PV) Strategic

Environmental Assessment (SEA) , in support of the Strategic Integrated

Project (SIP) 8.

Introduction

The first phase of the Wind and Solar PV SEA was completed in 2015, and

identified 8 Renewable Energy Development Zones (REDZs)

The aim of this SEA was to identify areas where large scale wind and solar

(PV) energy facilities can be developed in a manner that limits significant

negative impacts on the environment, while yielding the highest possible

socio-economic benefits to the country.

Introduction continued ..

Phase 1 Renewable Energy Development Zones

• Project Objective: Identify additional Renewable Energy

Development Zones (REDZ) at a finer scale.

• Phase 2 aims to identify REDZ across the entire country.

• Use of most recent readily available scientific information

to inform responsible decision-making for the development

of renewable energy in South Africa.

Phase 2 Renewable Energy Development Zones

Socio-

economic

activity index

mapping

Delineation process of the first draft focus areas for solar (PV) energy development

Socio-economic

Intensity Index

classes

Municipal level comparative

classification process

• Population data (2011 census)

• 2016 community survey data

• The economic output data

(Gross Value Added)

Town level classification process

• CSIR Meso-frame

• The Functional City, Town and

Settlement Typology for SA

• Population data

Municipal Intensity classes • Class 1: Very High Intensity and

Growing • Class 2: High Intensity and Growing Town Weighted Growth • Large Growth Above and High

Growth Above classes within Low Intensity and Growing (Class 6) and Low Intensity and Declining (Class 7) within the Municipal Intensity Classes

Areas available

for clustering

• Protected areas

• Critical Biodiversity Areas

• Threatened ecosystems

• Birds

• Species of conservation

concern

• National Protected Areas

Expansion Strategy

• Water features

• Habitat Modification layer

• Heritage

• Defence

• Airports

• Square Kilometre Array (SKA)

• Field crop boundaries

• Protected Areas (SAPAD,

Provincial and

SANPARKS)

• Critical Biodiversity Areas

• Water Features

• Forests

• Square Kilometre Array

(SKA) Area

• Heritage

• Field Crop Boundaries

• Land Capability

• Urban Areas

• Defence

Environmental

constraints

mapping

Technical solar

PV energy

clusters

• Solar Resource • Solar PV tracking yield • Proximity to main

transmission system

(MTS) substations

• Proximity to national

roads

• Presence of dolerite and

hardrocks for

geotechnical constraints

• Presence of steep slope

for access to site

• Areas with a Photovoltaic

Yield with single axis

tracking value >1850

(kWh(electrical)/kWpeak(i

nstalled)/annum) and

located within 35 km of

MTS substation and within

10 km of national roads

• Areas without underlying

rock formation of dolorites

and other hardrocks

(including Gneiss, Granite

and Quartzite)

• Areas with slope <10%

Technical

constraints

mapping

Spatial distribution of features used for the delineation process

Technical solar PV energy clusters Socio-economic Intensity Index

Available areas for clustering

Focus areas for solar PV energy development

Socio-economic

Intensity Index

classes

Municipal level comparative

classification process

• Population data (2011 census)

• 2016 community survey data

• The economic output data

(Gross Value Added)

Town level classification

process

• CSIR Meso-frame

• The Functional City, Town and

Settlement Typology for SA

• Population data

Municipal Intensity classes • Class 1: Very High Intensity and

Growing • Class 2: High Intensity and Growing Town Weighted Growth • Large Growth Above and High

Growth Above classes within Low Intensity and Growing (Class 6) and Low Intensity and Declining (Class 7) within the Municipal Intensity Classes

Socio-

economic

activity index

mapping

Delineation process of the first draft focus areas for wind energy development

Areas available

for clustering

• Protected areas

• Critical Biodiversity Areas

• Threatened ecosystems

• Birds

• Species of conservation

concern

• National Protected Areas

Expansion Strategy

• Water features

• Habitat Modification layer

• Heritage

• Defence

• Airports

• Square Kilometre Array

(SKA) Area

• Field crop boundaries

• Protected Areas (SAPAD,

Provincial and SANPARKS)

• Critical Biodiversity Areas

• Water Features

• Forests

• Square Kilometre Array (SKA)

Area

• Heritage

• Field Crop Boundaries

• Land Capability

• Urban Areas

• Defence

• Birds (VULPRO cape vulture

colonies and restaurants, black

harrier roosts sites, important

bird areas

• Bats ( Bat Roosts, Ecoregions)

Environmental

constraints

mapping

Technical wind

energy clusters

• Wind resource

• Wind capacity factor

• Proximity to main

transmission system

(MTS) substations

• Proximity to national

roads

• Presence of dolerite

and hardrocks for

geotechnical

constraints

• Presence of steep

slope for access to site

• Areas with a wind

capacity factor value >

0.352209 and located

within 35 km of MTS

substation and within 10

km of national roads

• Areas with a wind speed

value > 5.5 m per second

at a 100m average hub

height

• Areas without underlying

rock formation of dolorites

and other hardrocks

(including Gneiss, Granite

and Quartzite)

• Areas with slope <10%

Technical

constraints

mapping

Spatial distribution of features used for the delineation process

Technical wind energy clusters Socio-economic intensity index Areas available for clustering

Focus areas for wind energy development

Project timeline continued

Thank You

[email protected]


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