Green Economy Journal Issue 48
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ENERGY<br />
POWER<br />
FROM BITS TO WATTS<br />
According to The Global Carbon Atlas, South Africa is the 12th biggest emitter of greenhouse<br />
gases on the planet. It is clear that the country needs to reduce its carbon emissions and<br />
accelerate the growth of renewable energy across the region to ensure an affordable and<br />
reliable energy supply.<br />
RESIDENTIAL ELECTRICITY<br />
CONSUMPTION IN SA<br />
DMRE, SANEDI and UCT recently published a ground-breaking report on residential energy<br />
use. The study assesses the impact of energy efficient appliances on electrical energy<br />
consumption in South Africa.<br />
“In sub-Saharan Africa, more than 50% of the population still<br />
don’t have access to electricity,” said Huang Su, CEO of South<br />
Africa Digital Energy Business, Huawei. “Beyond that, thousands<br />
of hospitals and schools don’t have a stable power supply. This can<br />
easily become disastrous.”<br />
While South Africa is the leading power on the continent when it comes<br />
to power generation, Su points out that it’s currently unable to meet all its<br />
electricity demands all the time. “There is still a massive gap to be bridged,”<br />
he says, “We have to ensure we provide sufficient electricity to every<br />
African household.”<br />
To achieve this, Huawei is backing renewable energy coupled with<br />
technology-driven data and intelligence. As Su points out, renewable energy<br />
is much cheaper than fossil-fuel-based options, with a kilowatt-hour of solar<br />
power costing less than a rand in South Africa. It is clear then, that solar power<br />
should – and likely will – play a large role in the world’s future power mix.<br />
That is just one of the reasons why Huawei has invested heavily in<br />
smart photovoltaic (PV) solutions. By integrating AI and Cloud, Huawei<br />
has incorporated its ICT expertise with PV for optimal power generation.<br />
This allows for the construction of highly efficient, safe, and reliable solar<br />
power plants with smart O&M and grid supporting capabilities.<br />
“Huawei is already a household name in the ICT world,” Su says. “All<br />
ICT requires power supply and Huawei has always provided that to<br />
one degree or another. Our efforts in the solar PV space are simply an<br />
extension of that.”<br />
“Over time, Huawei will deploy more and more scalable power stations,”<br />
he adds. “These power stations can be managed and maintained online,<br />
further reducing their carbon footprint.”<br />
“We are uniquely positioned to bring electricity, power supply, and data<br />
management together,” he concludes. “The journey from bits to watts is<br />
accelerating and we plan on leading it.”<br />
On a global basis, the residential sector consumes one fifth<br />
of the world’s energy (IEA 2018:2) and has a large untapped<br />
potential to benefit from the multiple positive economic and<br />
social impacts of energy efficiency. These benefits include increased<br />
disposable income, poverty alleviation, improved health and wellbeing,<br />
better energy security and macro-economic benefits.<br />
Improved energy efficiency means that less energy is used while<br />
maintaining the same level of service or increasing service levels<br />
while maintaining energy use. In the residential context, efficiency<br />
improvements may be affected both by investments in technical<br />
interventions and by changes in behaviour.<br />
According to StatsSA, the residential sector in South Africa comprised of<br />
approximately 16.9-million households in 2016, of which about 86% were<br />
electrified. Electrified households consume roughly 17% of the country’s<br />
total grid electrical energy to provide energy services (DOE 2018:47), the<br />
most significant of which is resistive water heating. During peak periods, the<br />
residential sector accounts for up to 35% of national electricity demand.<br />
South African households are heterogeneous, and electricity use is<br />
not well characterised by averages. Appliance ownership, age, utilisation<br />
patterns and monthly spend on electricity all varies with household<br />
income. Poverty remains high and limits household electricity and<br />
appliance purchases. Almost 55.5% of the population were living below<br />
the Upper-Bound Poverty Line.<br />
The study found that South Africa’s Standards and Labelling<br />
(S&L) Programme was effective in achieving meaningful savings in<br />
appliance energy consumption between 2015 and 2020. The S&L<br />
Programme provides information about an appliance’s energy efficiency<br />
with an easy-to-read label displayed on the front of the appliance.<br />
The initiative will continue to provide energy savings into the future as<br />
appliances reach their end of life, and consumers purchase newer, more<br />
modern and energy efficient appliances. The highest energy savings were<br />
seen in refrigeration by a hefty margin, especially in low- and middleincome<br />
homes.<br />
In 2018, Berkeley Lab developed the South Africa Energy Demand<br />
Resource (EDR) model in The Low Emissions Analysis Platform (LEAP), in<br />
collaboration with the DMRE, SANEDI and the UNDP. The EDR provides a<br />
comprehensive forecast of the energy savings and emissions reductions<br />
that could result from the implementation of minimum energy<br />
performance standards.<br />
DEBATE BUSTERS<br />
• While dishwashers are likely to be more energy efficient than<br />
handwashing, this is only true for a fully-loaded dishwasher.<br />
• Induction stoves often consume large amounts of standby power and<br />
ultimately may consume more energy than an equivalent thermal plate.<br />
• A washing machine’s energy efficiency is typically measured based on<br />
energy used during its longer cycles, which is rarely used in practice.<br />
The more popular shorter and convenient cycle times tend to be less<br />
energy efficient.<br />
READ REPORT<br />
[ECO]NOMIC THOUGHT<br />
greeneconomy/the upshot<br />
TOP 10 TRENDS OF DIGITAL POWER | Power Digitalisation, Creating New<br />
Values | Whitepaper released by Digital Power Industry Work Group, Huawei Technologies<br />
With the rapid development of the digital world, the number of data centers and sites are<br />
increasing rapidly. Digital and intelligent technologies can effectively improve power generation,<br />
maintenance, and energy efficiency, helping to achieve the goal of carbon neutrality.<br />
In the coming decade, digital power will be a vital component in the evolution and upgrade of vast<br />
domains from ICT to electrical vehicles and solar power. Digital power modernisation will be at the<br />
foundation and will be applicable to large diaspora from rural, suburban, and diverse industries<br />
such as mining and smart factories.<br />
In December 2020, a number of authoritative experts and scholars in the digital power industry<br />
established a workgroup to discuss the energy digital transformation, and jointly released the<br />
Whitepaper on “Top 10 Trends of Digital Power” to provide strategic reference for the transformation<br />
and upgrade of the digital power industry.<br />
09<br />
READ REPORT<br />
[ECO]NOMIC THOUGHT<br />
greeneconomy/the upshot<br />
RESIDENTIAL ELECTRICITY CONSUMPTION IN SOUTH AFRICA<br />
Research Project Report by SANEDI, DMRE and UCT [May 2021]<br />
In this study the electrical energy consumption of low-, middle- and high-income households<br />
is characterised within a South African Residential Sector LEAP model. Within each of these<br />
income groups, appliance penetration rates together with appliance average annual energy<br />
consumption estimates are used to approximate the national annual electricity consumption<br />
of the sector.<br />
The disaggregation of energy services and appliances within the model, expands upon those of<br />
the EDR model, and includes lighting, cooking, refrigeration, dishwashers, washing machines,<br />
tumble dryers, water heating, space heating, televisions, pool pumps, air conditioning and other<br />
plug loads.<br />
28 61 63<br />
Survey<br />
findings<br />
LEAP<br />
model<br />
structure<br />
Assessment<br />
of the S&L<br />
programme<br />
Key<br />
recommendations<br />
40<br />
41