Determinants of household electricity consumption in South Africa

Ye, Yuxiang; Koch, Steven F.; Zhang, Jiangfeng

doi:10.1016/j.eneco.2018.08.005

Cited by 80 publications

(56 citation statements)

References 43 publications

(58 reference statements)

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“…Similarly, Nawaz & Iqbal (2020) used a Regression Discontinuity Design to measure the causal impact of a cash transfer program on fuel choice and expenditure in Pakistan and found a significant impact on monthly per capita fuel expenditure. These findings are consistent with observational studies based on survey data in wide range of urban contexts, including Brazil (De Martino Jannuzzi & Schipper, 1991), China (Cao et al, 2019;Zhou & Teng, 2013), Ghana (Sakah et al, 2019), India (Filippini & Pachauri, 2004), Mexico (Gertler et al, 2016) and South Africa (Ye et al, 2018). The link between income and electricity consumption (as opposed to other fuels) is particularly strong in urban areas where access is near universal: globally, an estimated 97% of urban residents have access to electricity (World Bank, 2017).…”

Section: Electricity Consumption and Urban Living Standardssupporting

confidence: 81%

Mapping urban living standards in developing countries with energy consumption data

Agyemang¹,

Fox²,

Memon³

2021

Preprint

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Data deficits in developing countries impede evidence-based urban planning and policy, as well as fundamental research. We show that residential electricity consumption data can be used to partially address this challenge by serving as a proxy for relative living standards at the block or neighbourhood scale. We illustrate this potential by combining infrastructure and land use data from Open Street Map with georeferenced data from ~2 million residential electricity meters in the megacity of Karachi, Pakistan to map median electricity consumption at block level. Equivalent areal estimates of economic activity derived from high-resolution night lights data (VIIRS) are shown to be a poor predictor of intraurban variation in living standards by comparison. We argue that electricity data are an underutilised source of information that could be used to address empirical questions related to urban poverty and development at relatively high spatial and temporal resolution. Given near universal access to electricity in urban areas globally, this potential is significant

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Section: Electricity Consumption and Urban Living Standardssupporting

confidence: 81%

Mapping urban living standards in developing countries with energy consumption data

Agyemang¹,

Fox²,

Memon³

2021

Preprint

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“…Thus, the main contribution of this study is three-fold: i) the South African literature has dealt with electricity demand in aggregate (Pouris, 1987;Ziramba, 2008), or per economic sector (Inglesi-Lotz and Blignaut, 2011) or at a microlevel (Ye et al, 2018). However, when it comes to the residential sector, economic and energy policies are implemented in a more aggregate level.…”

Section: Introductionmentioning

confidence: 99%

Examining the determinants of electricity demand by South African households per income level

Bohlmann

Inglesi‐Lotz

2021

Energy Policy

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For the period 1975-2016, this paper examines the determinants of the residential demand for electricity in South Africa including disposable income, electricity prices, food prices as well as the impact of the 2007/08 load-shedding wave and the 2008 electricity price restructuring. Given the high income inequality levels in South Africa, this relationship was investigated at aggregated and disaggregated income levels. Based on an Autoregressive Distributed Lag (ARDL) model, the empirical results indicate long-run cointegration between residential electricity consumption, gross national disposable income, electricity prices and food prices. Disposable income elasticities have a positive sign for the aggregate and all income groups, indicating that as income increases, South African households consume more electricity (normal good). As expected, price elasticities are negative and significant-for both the aggregated and disaggregated models-indicating that electricity prices do influence electricity demand for all South African households. The paper also examines the complementarity or substitutability of food and electricity. At both the aggregated and disaggregated income levels, the results showed that food and electricity are substitute goods for all South African households. However, as expected, the magnitude of this relationship is marginally different for each income group.

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“…Based on typical average wind speed in Ghana of 6.1 m/s reported by the Ghana Energy Commission, the estimated power production from the EYO7-8, EYO8-8, and EYO9-8 rotors according to Equation (11) is 1488 W, 1468 W, and 1435 W, respectively. This potential power generation from the small wind turbines meets the power demand of most residential facilities in developing countries as reported in the works of [48][49][50][51].…”

Section: Power Generation Potentialmentioning

confidence: 78%

Development of High Performance Airfoils for Application in Small Wind Turbine Power Generation

et al. 2020

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Small wind turbine power generation systems have the potential to meet the electricity demand of the residential sector in developing countries. However, due to their exposure to low Reynolds number (Re) flow conditions and associated problems, specific airfoils are required for the design of their blades. In this research, XFOIL was used to develop and test three high performance airfoils (EYO7-8, EYO8-8, and EYO9-8) for small wind turbine application. The airfoils were subsequently used in conjunction with Blade Element Momentum Theory to develop and test 3-bladed 6 m diameter wind turbine rotors. The aerodynamic performance parameters of the airfoils tested were lift, drag, lift-to-drag ratio, and stall angle. At Re = 300,000, EYO7-8, EYO8-8, and EYO9-8 had maximum lift-to-drag ratios of 134, 131, and 127, respectively, and maximum lift coefficients of 1.77, 1.81, and 1.81, respectively. The stall angles were 12°for EYO7-8, 14°for EYO8-8, and 15°for EYO9-8. Together, the new airfoils compared favourably with other existing low Re airfoils and are suitable for the design of small wind turbine blades. Analysis of the results showed that the performance improvement of the EYO-Series airfoils is as a result of the design optimization that employed an optimal thickness-to-camber ratio (t/c) in the range of 0.85-1.50. Preliminary wind turbine rotor analysis also showed that the EYO7-8, EYO8-8, and EYO9-8 rotors had maximum power coefficients of 0.371, 0.366, and 0.358, respectively.

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Determinants of household electricity consumption in South Africa

Cited by 80 publications

References 43 publications

Mapping urban living standards in developing countries with energy consumption data

Mapping urban living standards in developing countries with energy consumption data

Examining the determinants of electricity demand by South African households per income level

Development of High Performance Airfoils for Application in Small Wind Turbine Power Generation

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