South Africa’s electricity consumption: A sectoral decomposition analysis

Inglesi‐Lotz, Roula; Blignaut, James Nelson

doi:10.1016/j.apenergy.2011.06.018

Cited by 71 publications

(40 citation statements)

References 38 publications

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“…This paper will also disaggregate the energy efficiency trends in the main sectors of the economy. Various sectors have different energy profiles and hence, different reasons for their change in energy efficiency [4]. Identifying these will confirm the fact that different sectors should be treated differently with regards to future policy measures.…”

Section: Introductionmentioning

confidence: 78%

“…Decomposition techniques have become a useful tool for energy modelling and analysis over the last two decades with special focus on energy consumption and efficiency [4,11,14,18,19,20,21,22,23,24] as well as carbon emissions [25,26,27,28,29,30] or both energy intensity and emission intensity [31]. For South Africa, Inglesi-Lotz and Blignaut (2011) have used decomposition techniques to examine the factors that affected electricity consumption in the economy-wide and sectoral level.…”

Section: Methodsmentioning

confidence: 99%

“…In the literature, a number of studies [4,14,35] employed decomposition techniques to separate changes in energy consumption into mainly three driving factors: (i) changes in economic structure, (ii) efficiency and (iii) production. Many studies also recently used decomposition techniques to unfold the determinants of emissions' trends in countries [25,26,27].…”

Section: Methodsmentioning

confidence: 99%

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Energy efficiency in South Africa: A decomposition exercise

Inglesi‐Lotz

Pouris

2012

Energy

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Improvement of energy efficiency has been accepted as one of the most cost-effective approaches towards sustainable economic development and reduction of the continuously increasing energy consumption internationally. South Africa, being among the developing countries, is not an exception even though historically low energy prices and the lack of appropriate policies have created an energy-intensive economy. This paper examines the factors affecting the trends in energy efficiency in South Africa from 1993 to 2006 and particularly the impact of structural changes and utilisation efficiency of the country's energy intensity. Identifying and understanding the driving forces are necessary ingredients in the development of appropriate policy-making. This paper also provides disaggregation of the energy efficiency trends in the main sectors of the economy.We determine that structural changes of the economy have played an important and negative role in the increasing economy-wide energy efficiency. On the other hand, the energy usage's intensity was a contributing factor to the decreasing trend of energy efficiency. We suggest that differentiated price policies may be required if South Africa is to create an effective energy efficiency policy.

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Section: Introductionmentioning

confidence: 78%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Energy efficiency in South Africa: A decomposition exercise

Inglesi‐Lotz

Pouris

2012

Energy

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“…According to the World Bank data (2015), SA economic growth per-capita has an average increase of 0.83% over the study period; that means the country economy is pretty stable with a slowing growth trend. In addition, the new (post-1994) South African government considered electricity provision as very imperative for the growth and development of the country (Inglesi-Lotz and Blignaut, 2011). Moreover according to Letschert et al (2013) the electricity price in South Africa is one of the lowest in the world.…”

Section: Decomposition Analysismentioning

confidence: 99%

Decomposition Analysis of CO2 Emissions from Coal - Sourced Electricity Production in South Africa

Beidari

Lin

Lewis

2017

Aerosol Air Qual. Res.

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In 2013, the electricity sector was the largest source of South Africa's CO 2 emissions, accounting for about 60% of its total. South Africa (SA) is one of the highest CO 2 emitters on a per capita basis when compared to many developed and developing countries. For a better understanding of the driving forces leading the electricity-related CO 2 emission per person, this paper applies the Log Mean Divisia Index (LMDI) to analyze the influence of the factors which ruled electricity generation-related CO 2 emission in SA over the period 1990-2013. We focused on coal which is the dominant fuel used in SA for electricity generation. The results show that the electricity generation intensity effect plays the dominant role in decreasing CO 2 emissions. However, the effect of economic activity is the major determinant that contributes to increasing CO 2 emissions. In order to reduce its greenhouse gas emissions levels, meet the agreement of the COP21 agreement, and fight against CO 2 emissions per-capita associated with electricity generation, it is recommended that SA's government should improve the efficiency of its existing electricity power generation plants and expand more of its renewable energy sources (nuclear included).

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“…From a financial point of view, energy costs in refineries in the U.S. are approximated at between 50% and 60% of total fixed cost and at 30% to 40% for chemical plants [3]. In South Africa, the petrochemical industry was responsible for more than 20% of electricity consumption in manufacturing between 1993 and 2006 [4]. Therefore, the potential for considerable 20 savings exits by reducing energy consumption in this industry.…”

Section: Introductionmentioning

confidence: 99%

Modelling of a dual circuit induced draft cooling water system for control and optimisation purposes

Muller

Craig

2015

Journal of Process Control

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The successful operation of any petrochemical plant is dependent on the use of several utilities which may include electricity, steam, compressed air, cooling media, refrigeration media, nitrogen, condensate and fuel gas. These utilities form a significant portion of the fixed cost associated with running a plant. Utility optimisation has not received much attention until recently, driven by rising energy costs, stricter environmental policies, more competitive markets, and the threat of climate change. The generation, preparation, and transportation of utilities require energy and therefore should be optimised to reduce losses and improve operating efficiency. One example of such a utility is a cooling water system. This paper describes the modelling of a dual circuit induced draft cooling water system for control and optimisation purposes. The derived model is verified with plant data indicating promising results. The model is represented in a steady-state algebraic form as well as a dynamic state-space form.This provides a convenient basis for simulation studies and controller/optimiser design.

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South Africa’s electricity consumption: A sectoral decomposition analysis

Cited by 71 publications

References 38 publications

Energy efficiency in South Africa: A decomposition exercise

Energy efficiency in South Africa: A decomposition exercise

Decomposition Analysis of CO2 Emissions from Coal - Sourced Electricity Production in South Africa

Modelling of a dual circuit induced draft cooling water system for control and optimisation purposes

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