2. Big Data and Analytics in the Energy sector
In today's dynamic and competitive business environment, energy companies
are seeking innovative ways to grow profitably. This calls for improving customer
satisfaction, optimizing operations, managing costs, limiting risks and offering
new products. To achieve this, organizations must leverage available data to
identify actionable insights which will help them with decision-making and value
creation.
www.cleanergetic.com
3. About Cleanergetic
Cleanergetic is a Big Data Engineering consultancy
firm specialized in energy. Since 2012, we are com-
mitted to deliver solutions & services to enable com-
panies to leverage the business value of their enter-
prise data. We help our clients to gain competitive
advantages in areas such as Operational Excellence,
Risk management, Hazard prevention & Portfolio
management, among other challenges.
Cleanergetic aims to be a trusted partner, through
the implementation of business initiatives, where
data is a key factor for success. Not only providing
with cutting-edge technology and customer-specific
solutions that deliver results, but also helping organi-
zations to develop this new skill internally.
Why energy companies need big data?
The energy industry is more dynamic than ever be-
fore. There are tremendous forces at work: dynamic
pricing, energy storage, electric vehicles, distributed
renewable generation, zero emission buildings,
smart meters and loads. These drivers provide a real
possibility of market disruption,... or out of the game.
Energy companies must enhance customer satisfac-
tion, operational excellence and risk management,
changing their business processes. New data tech-
nologies are now taking the shape of big data as tra-
ditional technologies are no longer valid on its own.
Why Cleanergetic?
Our deep industry expertise, together with our spe-
cialized knowledge in Data management and ana-
lytics, enable us to bring a unique perspective and
innovative approach to the way we help our custom-
ers solve their business problems. Our continuous
search for excellence drives us to continually discov-
er and develop better ways to address our clients
needs.
With a successful and a proven track record across
multiple renewable energy sectors, Cleanergetic is
the right partner to address your most demanding
business challenges. We have been pioneers provid-
ing big data approach to the renewable energy in-
dustry.
Make smarter decisions
Business intelligence is revolutionized with predictive
and adaptive algorithms, interactive reporting & visu-
alization, pattern recognition and Stream Analytics.
“ Make smarter decisions, engage
customers and discover new busi-
ness models from your structured,
unstructured and streaming Inter-
net of Things data.
4. Platform Services: Selecting, config-
uring and put into production big
data platforms. SaaS. Data stores.
Solution Engineering: Providing
development, architecture and imple-
mentation services for big data solutions. Defining
data strategy, roadmap and business case.
Benefits of leveraging Cleanergetic services:
Actionable
Insights
Risks
mitigation
Customized
solutions
Agile & lean
execution
Engineering
expertise
Market
distinction
Data Mining: Anomaly detection,
pattern discovery, performance
and reliability, statistical analysis.
Data Integration: Master data man-
agement, data governance and quality, consolida-
tion, filtering, cleaning, transformation.
Artificial Intelligence: Neural Net-
works, Fuzzy Logic, adaptive algo-
rithms, image recognition.
Business Intelligence: handling large amounts of
unstructured data to identify biz. opportunities.
Tools
Services
5. Boost warranty compensation of a PV System
Cleanergetic helped a leading asset owner to prove
and quantify the energy harvest loss due to a module
quality defect. We created a new performance indi-
cator, not available in the monitoring system, able to
identify and measure energy performance defects.
With that information, our customer had legal evi-
dence on the economical damage and could acceler-
ate the warranty compensation of a multimegawatt
photovoltaic system with 30% power degradation.
Maximizing turbines availability in wind assets
A large wind operator was facing availability issues
due to large repair time, incorrect corrective mainte-
nance and improper spare parts inventory. Customer
had difficulties identifying specific areas of improve-
ment and quantifying the loss of revenue per catego-
ry. Data was very heterogeneous. We helped to iden-
tify improvements in the maintenance procedures,
contractors that required better training and capabil-
ities, the optimal inventory and ways to keep meas-
uring service levels for future operations. Customer
is now implementing changes and we are supporting
with in-depth analysis to improve.
Big data applied to Big Buildings: save energy
30% of global energy consumption is in buildings and
more in future. Some customers have energy bills
larger than 1mUSD. Stream analytics is used to con-
trol optimal temperature setpoints using weather
forecast and room occupation to minimize energy
consumption at lowest hourly electricity price.
Smart meters: predicting customers habits
Using Machine Learning to understand customers
consumption behavior and providing an artificially
intelligent way to recommend changes in behaviors
to achieve their desired monthly expenditure. We
build algorithms that can learn from data and make
predictions based on data and weather forecast.
Case Studies
