THE ENERGY INDUSTRY TIMES - SEPTEMBER 2019
13
Industry Perspective
I
n recent times, it has become
abundantly clear that something
must be done about climate
change. According to a recent Inter-
governmental Panel on Climate
Change (IPCC) report, global emis-
sions of carbon dioxide must peak
by 2020 to keep global warming be-
low 1.5°C. And with the energy sec-
tor responsible for 61.4 per cent of
global carbon emissions, people are
demanding large-scale action from
within the energy sector itself.
The detrimental effects of climate
change have put in motion an un-
precedented mass movement calling
upon governments, organisations
and businesses to take the lead. In
response to this demand for action,
the EU has proposed to cut its emis-
sions by 80-95 per cent by 2050
compared to 1990 levels. It’s a gar-
gantuan task in which digitalisation
plays a fundamental role.
While many solutions, both big
and small exist, only digitalisation
and technological innovations can
drive the renewables sector quickly
enough and on a large enough scale
to effect the changes required to
combat climate change. Digital inno-
vation and technologies must work
hand in hand to transform the world
we live in and bridge the gap be-
tween companies and this new digi-
tal world.
When it comes to combating cli-
mate change, there’s good news and
bad news. The good news is that car-
bon emissions are declining. Some
think they’ll be 20 per cent lower by
2050 than they are today, in relation
to the reference case. However, the
bad news is that they still remain far
away from the less than 2°C path-
way laid out in the 2016 Paris
Agreement.
Even in an accelerated scenario, it
is unlikely this 2°C goal will be
achieved unless extraordinary mea-
sures are taken, measures that in-
clude greater private investment and
data analytics support for more ef-
cient performance of clean power
production. Even as renewable ener-
gies like solar and wind are becom-
ing big global and protable busi-
nesses, carbon emissions continue to
be released into the atmosphere.
This is in spite of the fact that be-
tween 2014 and 2018 the average
yearly investment in clean energy
has been close to £245 billion ($300
billion). This jump in energy invest-
ment has been encouraged by lower
renewable energy costs that have
beat hydro, coal and gas options. In
fact, the most recent data available
suggests the lowest auction value for
wind and solar tariffs of under $25/
MWh in Mexico, Morocco and
Dubai show that exceptionally low
values can be translated into large
projects in countries with average
wind and solar conditions.
With a multiplicity of right loca-
tions with high wind or solar load
factors and low grid connection
costs, it is hard to believe that the
battle to decarbonise the planet is be-
ing lost.
The Internet of Things (IoT) and
Articial Intelligence (AI) are key to
changing the course of this battle
through their ability to maximise
both efciency and returns, while
providing greatly increased transpar-
ency. And that can only happen
when the management of the genera-
tion assets of the renewable sector
integrate both technical and nancial
aspects.
Although IoT is an unparalleled
source of data, it is AI that makes
this data actionable and operational-
ly functional. As AI processes data in
real-time, algorithmic decisions are
made and acted upon without any
time lag. It can also identify patterns
and undetected situations within the
data over time, which means predic-
tive and augmented analytics can be
applied to guarantee that any opera-
tion or function is running at maxi-
mum efciency.
The emerging Data as a Service
(DaaS) industry is becoming a criti-
cal link between investor and opera-
tor as well as producer and consum-
er. In the near future, other vital parts
of the system, like grid integration
and balance, blockchain, load man-
agement and storage, will be inter-
ceded by DaaS operators. Data plat-
form services are particularly
essential for maximising perfor-
mance of power generation by mini-
mising risks and costs while maxi-
mising returns. It is growing to the
extent that Statista suggests that the
market for DaaS and machine learn-
ing data preparation, something that
relies heavily on IoT, is expected to
reach $2.5 billion by 2023.
It is fundamental that this begins to
be applied more in the renewables
sector. In most industrialised coun-
tries, renewable energies already
represent around 15-25 per cent of
total power generation globally, most
of which is hydro. Looking into the
future, say by 2050, around 50 per
cent of all electricity produced will
be based on renewable sources.
Hydro will represent roughly 20 per
cent while more than half of that 50
per cent will be solar and wind.
Over the past 20 years, renewables
have grown from practically nothing
to close to 20 per cent average
worldwide. Some places may have
reached 80 per cent or more while in
others they are reaching 10 per cent.
But we will see a situation where
half of all power generated in the
world, say by 2050, will be entirely
driven by economics. By 2025, even
with the added costs of ‘system-inte-
gration’, where batteries or other
exible sources of power generation
are needed to complement them, re-
newables will be cost effective.
Data is the key to attracting the re-
quired capital to unlock the full po-
tential of renewable energy assets
that are driving the green energy
transition. A key obstacle facing the
renewables sector is a lack of invest-
ment due to the nancial and perfor-
mance risks associated with this type
of investment.
Despite the fact that digital tech-
nologies can provide unparalleled
security and transparency, in a recent
report published by DNV GL, 40 per
cent of nance industry respondents
said they were not using digital tech-
nology at all. The potential of the
technology must therefore be har-
nessed and showcased to investors to
demonstrate how they can provide
investment security, risk manage-
ment and portfolio management for
assets from anywhere and at any
time. Only this can change the nan-
cial sector’s reluctance to take ad-
vantage of new digital technologies.
This is especially pertinent now giv-
en that the viability of investment in
fossil fuels is plummeting, which is
helping to narrow the signicant
protability gap that had put off in-
vestors before.
Indeed, a recent study conducted
by McKinsey demonstrated that by
2050, almost 26 per cent of energy
will come from renewable resources,
and notably, 7 per cent will come
from wind and solar sources. More-
over, a BNP Asset Management
Study conducted this year found that
for the same capital outlay, wind and
solar projects will produce three to
four times more useful energy at the
wheels of electric vehicles than oil
will at $60/barrel for diesel-powered
vehicles. Renewables have become
much more than an ethical or moral
imperative; investment in clean ener-
gy sources is now grounded in cold,
hard economic logic and long term
protability.
The opportunities afforded to in-
vestors by the digitalisation of ener-
gy investment are two-fold. Firstly,
computing power is constantly in-
creasing and enabling greater levels
of AI and machine learning to build
the digital platforms and operators
that understand the investment situa-
tion on a local level. Further, thanks
to the IoT, the data available to these
computers for analysis is increasing
exponentially, which means that in-
vestments can be optimised more
readily and risks drastically reduced.
Digital platforms that mobilise AI
tools are able to process nancial in-
formation and create an all-inclusive
data package by aggregating techni-
cal, meteorological and nancial
data to create a database. This is then
used to provide digestible informa-
tion to investors in the form of KPIs,
thereby helping to maximise the per-
formance of assets and portfolios.
Such advances in the digitalisation
of energy allows for better decisions
to be made and automated, which
provides investors with greater lev-
els of transparency.
This condence in the guarantee of
returns on investment through great-
er investment security can only be
attained through the aggregation of
technical and nancial data stored in
digital platforms, and transmitted in
real-time to investors. The capabili-
ties of the IoT, machine learning and
AI to position renewables as a ratio-
nal, viable, and protable economic
investment are limitless.
The advent of digital platforms
and technological advances also
have the potential to impact every-
day consumers in vast and tangible
ways. It also means that energy con-
sumption is more controlled, ef-
cient and kept to reasonable levels.
This can also be applied in the mo-
tor industry. Rolling out smart charg-
ing technologies for electric vehicles
could help shift charging to periods
when electricity demand is low and
supply is abundant. This would pro-
vide further exibility to the grid
while saving $100-$280 billion in
avoided investment in new electrici-
ty infrastructure between 2016 and
2040.
The possibilities that the digitalisa-
tion of the energy sector presents are
endless. If we capitalise on digital
innovations we can gain insight into
optimised forecasting of asset per-
formance, lifetime and generation
level, which is something we have
never had before. Now more than
ever, the EU and other national and
supranational organisations and gov-
ernments have the digital solutions
and the incentive required to further
propel the renewable energy transi-
tion and increase the global market
for clean energy sources.
Hanno Schoklitsch is a Civil
Engineer and founder & CEO of
Kaiserwetter, an energy IntelliTech
company.
Digital innovation combined with technologies such as the Internet of Things and articial intelligence are key to
ensuring climate neutrality by 2050, says Hanno Schoklitsch
Schoklitsch: condence in the guarantee of returns on investment
can only be attained through the aggregation of technical and
nancial data stored in digital platforms, and transmitted in real-
time to investors
A digital approach to tackling
climate change