Modeling South Africa’s Energy Landscape

Modeling South Africa’s Energy Landscape

An Analysis of Power Supply and Demand till 2035 Using Excel Modeling

RELEASE DATE
24-Aug-2016
REGION
Africa
Research Code: 9AAE-00-42-00-00
SKU: EG01673-AF-MR_18915
$1,500.00
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EG01673-AF-MR_18915
$1,500.00
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Description

A central database where information relating to South Africa's power supply and demand can be analysed does not exist. Every time an investor, an academic, or private or public organisation needs information on this, the research has to start from the beginning. This study considers a set of assumptions and models the power supply and demand in South Africa up till 2035, as well as models only the supply up till 2060. The results aim to explain how a centralised, interactive model will be more efficient and provide a platform to analyse the effects of changes in the energy mix. The alternative relies on speculative information that poses risks, especially if the information is outdated.

Table of Contents

Key Findings

Motivation and Objectives of Analysis

Scope of Research

Geographical and Technological Scope

Research Methodology

Assumptions

South Africa—Power Sector Analysis

Power Supply—A Glance till 2060, BAU

Power Supply—A Glance till 2060, BAU (continued)

Power Supply—A Glance till 2060, BAU (continued)

Power Supply—A Glance Until 2035, BAU

Power Supply—A Glance Until 2034, BAU (continued)

Power Supply—A Glance Until 2034, BAU Discussion

Power Demand

Assumptions

Bringing IPPs to Light

Power Supply—A Glance till 2060

Power Supply—A Glance till 2060 (continued)

How Does this Align with Other Forecasts

How Does this Align with Other Forecasts (continued)

Conclusions

Legal Disclaimer

Abbreviations

The Frost & Sullivan Story

Value Proposition: Future of Your Company & Career

Global Perspective

Industry Convergence

360º Research Perspective

Implementation Excellence

Our Blue Ocean Strategy

Related Research
A central database where information relating to South Africa's power supply and demand can be analysed does not exist. Every time an investor, an academic, or private or public organisation needs information on this, the research has to start from the beginning. This study considers a set of assumptions and models the power supply and demand in South Africa up till 2035, as well as models only the supply up till 2060. The results aim to explain how a centralised, interactive model will be more efficient and provide a platform to analyse the effects of changes in the energy mix. The alternative relies on speculative information that poses risks, especially if the information is outdated.
More Information
No Index No
Podcast No
Author Tilden Hellyer
Industries Energy
WIP Number 9AAE-00-42-00-00
Is Prebook No