Temporal analysis of electricity consumption for prepaid metered low- and high-income households in Soweto, South Africa

2018 ◽  
Vol 11 (3) ◽  
pp. 375-382 ◽  
Author(s):  
Njabulo Kambule ◽  
Kowiyou Yessoufou ◽  
Nnamdi Nwulu ◽  
Charles Mbohwa
Keyword(s):  
South Africa ◽  
Electricity Consumption ◽  
Temporal Analysis ◽  
High Income

Behavioural interventions yield electricity savings among high-income households in Johannesburg, South Africa

2021 ◽  
pp. 0958305X2110443
Author(s):  
Stephanie P Williams ◽  
Gladman Thondhlana ◽  
Harn Wei Kua
Keyword(s):  
South Africa ◽  
Electricity Consumption ◽  
Positive Influence ◽  
High Income ◽  
Control Group ◽  
Behavioural Interventions ◽  
Electricity Use ◽  
Size Number ◽  
Electricity Saving ◽  
The Impact

The societal benefits of addressing wasteful electricity use practices through behavioural interventions are now well-established. Surprisingly, in South Africa, where the economy is highly dependent on fossil fuel (coal) for electricity generation, this subject remains little studied and understood. The residential sector is a major electricity consumer, and high-income households, in particular, use a substantial proportion of total electricity with serious adverse impacts on grid stability and the environment, which can disproportionately affect the poor. Using a field-based experiment, this study examines the impact of behavioural interventions on household electricity savings and the determinants of success among high-income households in Johannesburg, South Africa. Over the intervention period, households exposed to a combination of electricity-saving information, frequent reminders and feedback on monthly electricity-saving performance showed mean electricity savings of about 1.5%, ranging from 2% to 4% of electricity, while households in the control group showed increased electricity consumption by approximately 11%. Out of all the demographic and personal value factors considered, age, achievement and benevolence promoted electricity savings, while household size, number of rooms, baseline electricity consumption and security inhibited savings. The findings empirically validate the impact of behavioural interventions on, and the positive influence of, personal values in promoting participation in electricity-saving actions within households.

scholarly journals Reported Behavioural Patterns of Electricity Use among Low-Income Households in Makhanda, South Africa

2021 ◽  
Vol 13 (13) ◽  
pp. 7271
Author(s):  
Uzziah Mutumbi ◽  
Gladman Thondhlana ◽  
Sheunesu Ruwanza
Keyword(s):  
South Africa ◽  
Low Income ◽  
Sustainable Consumption ◽  
Electricity Consumption ◽  
Developed Countries ◽  
Electricity Use ◽  
Behavioural Patterns ◽  
Education Levels ◽  
Basic Services ◽  
Low Income Households

Households consume up to 20% of overall electricity consumption globally; hence, they are important role players in efforts towards promoting sustainable consumption. Research on electricity use behaviour is important for informing intervention strategies; however, relative to developed countries, research on this subject is lacking in developing countries where electricity access is limited. In South Africa, electricity use behaviour among poor neighbourhoods remains little studied and understood. This study was carried out among low-income households in Makhanda, South Africa, characterised by high poverty and unemployment rates, low education levels, and limited access to basic services. Using a self-reporting approach, electricity use behaviour of low-income households was assessed against a list of common household electricity use actions. A survey of 297 households was conducted. The findings show mixed results, with households reporting both good electricity use behaviour (e.g., cooling down hot food before refrigeration and using washing machines on full load) and wasteful actions (e.g., leaving appliances on standby). Our results show that electricity use behaviour was influenced by socio-psychological values including universalism, benevolence, hedonism, and power. Some of the reported electricity behavioural patterns are consistent with those previously reported among high-income households. The theoretical and practical implications of these results are discussed.

scholarly journals Offshore wind energy – South Africa’s untapped resource

2020 ◽  
Vol 31 (4) ◽  
pp. 26-42
Author(s):  
Gordon Rae ◽  
Gareth Erfort
Keyword(s):  
South Africa ◽  
Wind Energy ◽  
South African ◽  
Electricity Generation ◽  
Wind Farm ◽  
Energy Resource ◽  
Electricity Consumption ◽  
Offshore Wind ◽  
Offshore Wind Energy ◽  
Multi Criteria Evaluation

In the context of the Anthropocene, the decoupling of carbon emissions from electricity generation is critical. South Africa has an ageing coal power fleet, which will gradually be decommissioned over the next 30 years. This creates substantial opportunity for a just transition towards a future energy mix with a high renewable energy penetration. Offshore wind technology is a clean electricity generation alternative that presents great power security and decarbonisation opportunity for South Africa. This study estimated the offshore wind energy resource available within South Africa’s exclusive economic zone (EEZ), using a geographic information system methodology. The available resource was estimated under four developmental scenarios. This study revealed that South Africa has an annual offshore wind energy production potential of 44.52 TWh at ocean depths of less than 50 m (Scenario 1) and 2 387.08 TWh at depths less than 1 000 m (Scenario 2). Furthermore, a GIS-based multi-criteria evaluation was conducted to determine the most suitable locations for offshore wind farm development within the South African EEZ. The following suitable offshore wind development regions were identified: Richards Bay, KwaDukuza, Durban, and Struis Bay. Based on South Africa’s annual electricity consumption of 297.8 TWh in 2018, OWE could theoretically supply approximately 15% and 800% of South Africa’s annual electricity demand with offshore wind development Scenario 1 and 2 respectively.

scholarly journals Explore changes in the aspects fundamental to the competitiveness of South Africa as a preferred tourist destination

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Engelina Du Plessis ◽  
Melville Saayman ◽  
Annari Van der Merwe
Keyword(s):  
South Africa ◽  
Frequency Analysis ◽  
Temporal Analysis ◽  
Value For Money ◽  
Tourist Destination ◽  
The Past ◽  
Role Players ◽  
The Relationship ◽  
Shed Light

Background: Tourism is an evolving and changing industry, and keeping up with these changes requires an understanding of the forces and changes that shape this industry’s outcomes. Tourism managers struggle daily to stay ahead in the competition to attract more tourists to destinations. Understanding the strengths and weaknesses of the past could shed light on the advantages of the future.Aim: The aim of this study was to do a temporal analysis of the competitiveness of South Africa as a tourism destination.Setting: This research investigated the competitive position of South Africa as a tourism destination just after the 1994 elections and compared those results to the results of a similar study in 2014.Methods: In this article, a frequency analysis revealed South Africa’s strengths and weaknesses, after which t-tests indicated the relationship between the strengths and weaknesses of the destination and the factors that contribute to South Africa’s competitiveness.Results: South Africa’s strengths include the quality of the food and experience, scenery, variety of accommodation climate and geographical features. It is clear that respondents identified different attributes that contributed to the strengths of the destination in comparison with 2002, where the strengths were wildlife, scenery, cultural diversity, climate, value for money, variety of attractions and specific icons.Conclusion: This research is valuable for South Africa because it informs tourism role players about what respondents perceive to be South Africa’s strengths. Role players can then form strategies that incorporate the strengths to create competitive advantage. This article also indicates the areas in which the country has grown in the past decade as well as indicating which weaknesses remain a problem.

scholarly journals Patterns of SES Health Disparities Among Older Adults in Three Upper Middle- and Two High-Income Countries

2018 ◽  
Vol 74 (6) ◽  
pp. e25-e37 ◽  
Author(s):  
Mary McEniry ◽  
Rafael Samper-Ternent ◽  
Carmen Elisa Flórez ◽  
Renata Pardo ◽  
Carlos Cano-Gutierrez
Keyword(s):  
South Africa ◽  
Older Adults ◽  
Health Behaviors ◽  
Chronic Conditions ◽  
High Income ◽  
Middle Income ◽  
Logistic Regression Models ◽  
Prevalence Of Obesity ◽  
Obesity Hypertension ◽  
Health Gradient

Abstract Objectives To examine the socioeconomic status (SES) health gradient for obesity, diabetes, and hypertension within a diverse group of health outcomes and behaviors among older adults (60+) in upper middle-income countries benchmarked with high-income countries. Method We used data from three upper middle-income settings (Colombia-SABE-Bogotá, Mexico-SAGE, and South Africa-SAGE) and two high-income countries (England-ELSA and US-HRS) to estimate logistic regression models using age, gender, and education to predict health and health behaviors. Results The sharpest gradients appear in middle-income settings but follow expected patterns found in high-income countries for poor self-reported health, functionality, cognitive impairment, and depression. However, weaker gradients appear for obesity, hypertension, diabetes, and other chronic conditions in Colombia and Mexico and the gradient reverses in South Africa. Strong disparities exist in risky health behaviors and in early nutritional status in the middle-income settings. Discussion Rapid demographic and nutritional transitions, urbanization, poor early life conditions, social mobility, negative health behavior, and unique country circumstances provide a useful framework for understanding the SES health gradient in middle-income settings. In contrast with high-income countries, the increasing prevalence of obesity, an important risk factor for chronic conditions and other aspects of health, may ultimately change the SES gradient for diseases in the future.

Using energy profiles to identify university energy reduction opportunities

2016 ◽  
Vol 17 (2) ◽  
pp. 188-207 ◽  
Author(s):  
Nandarani Maistry ◽  
Harold Annegarn
Keyword(s):  
South Africa ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Quantitative Research ◽  
Electricity Consumption ◽  
Working Hours ◽  
Content Type ◽  
Academic Calendar ◽  
The University

Purpose – The purpose of this paper is to outline efforts at the University of Johannesburg, a large metropolitan university in Gauteng province, to examine energy efficiency within the context of the green campus movement, through the analysis of electricity consumption patterns. The study is particularly relevant in light of the cumulative 230 per cent increase in electricity costs between 2008 and 2014 in South Africa that has forced institutions of higher education to seek ways to reduce energy consumption. Design/Methodology/Approach – A quantitative research design was adopted for the analysis of municipal electricity consumption records using a case study approach to identify trends and patterns in consumption. The largest campus of the University of Johannesburg, which is currently one of the largest residential universities in South Africa, was selected as a case study. Average diurnal consumption profiles were plotted according to phases of the academic calendar, distinguished by specific periods of active teaching and research (in-session); study breaks, examinations and administration (out-of-session); and recesses. Average profiles per phase of the academic calendar were constructed from the hourly electricity consumption and power records using ExcelTM pivot tables and charts. Findings – It was found that the academic calendar has profound effects on energy consumption by controlling the level of activity. Diurnal maximum consumption corresponds to core working hours, peaking at an average of 2,500 kWh during “in-session” periods, 2,250 kWh during “out-of-session” periods and 2,100 kWh during recess. A high base load was evident throughout the year (between 1,300 and 1,650 kWh), mainly attributed to heating and cooling. By switching off the 350 kW chiller plant on weekdays, a 9 per cent electricity reduction could be achieved during out-of-session and recess periods. Similarly, during in-session periods, a 6 per cent reduction could be achieved. Practical implications – Key strategies and recommendations are presented to stimulate energy efficiency implementation within the institution. Originality Value – Coding of consumption profiles against the academic calendar has not been previously done in relation to an academic institution. The profiles were used to establish the influence of the academic calendar on electricity consumption, which along with our own observation were used to identify specific consumption reduction opportunities worth pursuing.

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