Revue de presse IoT / Data du 26/03/2017

Revue de presse IoT / Data du 26/03/2017
Bonjour,
Voici la revue de presse IoT/data/energie du 26 mars 2017.
Je suis preneur d'autres artices / sources !
Bonne lecture !
1. From the Edge To the Enterprise
2. The Internet of Energy: Smart Sockets
3. Google's big data calculates US rooftop solar potential
4. Energy management: Oracle Utilities launches smart grid and IoT device
management solution in the cloud
5. Are vehicles the mobile sensor beds of the future?
From the Edge To the Enterprise
Source URL: http://www.elp.com/articles/powergrid_international/print/volume-
22/issue-3/features/from-the-edge-to-the-enterprise.html
03/20/2017
Making the case for the value of IoT
By Bradley Williams, Oracle Utilities
While we are only just beginning to understand the full impact and meaning of the Internet
of Things (IoT) for the utilities industry, the industry is already changing and transforming
because of it.
To be clear, the utility industry is not unfamiliar with the IoT. The smart grid applies IoT
technology (such as smart sensors, two-way communications and data analytics) to the
electric grid infrastructure. This enables better eﬃciency, improved reliability, the
integration of more renewables and distributed energy resources, reduced emissions and
more engaged and empowered customers.
Now, utilities are perfectly positioned to use this solid foundation to take advantage of IoT
as it expands, setting the stage for continued business relevance, growth and
improvement in the years ahead.
The IoT's value proposition for utilities
In coming years, the utilities industry is expected to drive exponential growth of new IoT

applications to communicate machine-to-machine to new field devices and consumer
energy technology devices at the edge of the grid. But even more important than this
ubiquitous communication is the sensor data being gathered by these machines, and the
ways in which that data can be operationalized for more efficient and proactive utility
efforts.
IoT is all about the services: transforming data from disparate devices into valued insights
and actions. Its value proposition for utilities is clear.
IoT will allow utilities to:
• Quickly translate vast quantities of sensor-based information into action
• Securely connect devices, analyze real-time and historical data and integrate to back-
end utility applications
• Enable the business to deliver innovative new services faster and with less risk
• Track crew locations and remote parts inventories to more effectively dispatch
technicians in the field
• Transform the business from the edge to the enterprise, including the control and
maintenance of new generation assets
Deploying Utility IoT
It's not necessary to take an "all-in, boil-the-ocean" approach to IoT. Instead, taking a
phased approach allows for learning and adjusting along the way.
In the first phase, the focus is on validating the business value of IoT by quickly
connecting assets and monitoring them, with the focus being purely on monitoring the
devices and reacting to events and exceptions/failures.
In the second phase, the utility's focus shifts from reactive to proactive decision-making:
analyzing the data to predict future events for proactive operational responses, identifying
energy usage patterns, etc.
In the third phase, IoT is strongly tied into enterprise processes and applications, to
optimize the back office and proactively provide an increasingly engaged customer
experience.
What does this look like, optimally? Let's look at different ways to leverage IoT
technologies to enable the vision of the future utility.
Deeper insights into asset performance management
Asset performance management is an integral tool for utilities juggling ever-increasing
operating costs with a need to reduce expenses, decrease environmental impact and
deliver more customer-centric service. Low-cost, smart field sensors are now providing
many real-time eyes all along the grid, enabling utility operators to "keep a close eye" on
assets and make decisions about asset replacement and repair before assets break

down.
There's more to it than just keeping eyes on the assets, however. The ability to aggregate
all asset data, including work history and condition rating, into a single system, balance
the importance of one factor over another, and update in real-time any condition changes
as they occur, allows the utility to make more reliable and meaningful investment and
work decisions on how to best balance compliance, reliability, safety and risk.
Why is this so important? Historically, this type of insight was based upon intuition and
subjective or observed, eyes-in-the-field assessment. In an increasingly digitized utility
environment, this type of assessment is being replaced by objective data analysis that is
by its nature more accurate, providing utilities with far more actionable insight than
before. When this analysis is automated as a core business process, it has already
demonstrated significant capacity to affect margin: proactive work has been shown to
reduce asset failure rates and drive down the cost to operate each asset, thereby
increasing revenue.
Here is a specific example to illustrate: By scheduling proactive work during normal
business hours instead of having to react to a failure with an after-hours call-out, you can
reduce costs while significantly improving reliability. With smart sensor and control
devices-many of which are IP-addressable and wireless connected-along the utility's
infrastructure, you can also add automated, real-time asset analysis to your asset
management practices. Advanced asset risk analytics can then correlate the appropriate
data from across the enterprise to provide immediate prescriptive maintenance work
requests.
Improved grid optimization with new energy resources
Electric utilities recognize the need for new distribution network technologies to
accommodate sustainable growth and customers' growing interest in grid-connected,
customer-owned distributed energy resources (DER) such as rooftop solar and on-site
energy storage. This customer-led energy evolution is driving change for utilities, too, in
terms of the way the modern distribution grid will soon need to operate. These new grid
participants want to connect with their utilities in a different manner than we have seen in
the past, and become part of the electric distribution system, rather than separate from it.
The real-time data these connected DER are also providing offer a means for utilities to
change the way they manage the grid.
IoT technologies offer utilities the ability to take a data-centric approach to distribution
management, providing a means in which to monitor, control and optimize both traditional
distribution and new, consumer energy resources. By treating each DER as an asset, and
modeling its generation output profile similarly (by aggregating the asset data, as well as
its unique attributes such as location, direction and pitch of panels, condition of use, time
of day, etc.), the utility can better forecast how and where within its service territory those
DER assets will impact the distribution grid, and use this information to improve long-term
resource planning.
Distribution grid operation can be maximized, and real-time information can reduce the
capacity for intermittency issues (from solar resources) to cause disruption or safety
problems, improve generation output profiling (thereby minimizing customer interruption
minutes), and dynamically balance consumer supply and demand of DER, thereby

alleviating utility constraint on peak load days without having to shift to extremely costly
"peaker" generation plants.
Preparing for a consumer-driven energy market
As consumer-owned in-home devices and DER continue to increase, IoT technologies will
be the foundation for an even smarter smart grid, one that can support the transactive
energy market that is already beginning to take shape. This will not happen overnight.
Some states, like New York, are leading the way in raising the foundation for this future
energy platform, and other states are just beginning that journey with smart meters,
electric vehicles and DER. But there is no question that the electric utility industry, and the
grid upon which it manages and distributes its product, is transforming.
In this transformative period, utilities have a choice: they can view the challenge to their
traditional ways of doing business as a threat, or they can turn it into a business
opportunity to improve their investment performance, lower operating costs, and provide
their customers with ways in which to participate that fit their changing expectations
about the ways they use electricity.
The transactive energy construct paves the way for this future vision, and IoT
technologies will provide the tools for utilities to effectively manage this new, dynamic
market exchange equation, balancing energy supply and demand and monitoring grid
asset health in real-time.
Taking the next steps
End-to-end grid visibility, with the ability to manage, analyze and control additional grid-
edge resources being added on an often-daily basis, will be imperative for utilities as the
work their distribution grids is being asked to do evolves. The IoT enables utilities to
create a scalable, flexible and more modular infrastructure that will be much better
equipped to face new challenges, and to quickly adapt as markets and situations change.
The Internet of Energy: Smart Sockets
Source URL: http://www.azocleantech.com/article.aspx?ArticleID=641
Written by AZoCleantech Mar 25 2017
We waste too much energy and this is a direct cause of global warming. Imagine a
fully integrated electrical system thatis safer, cleaner and sustainable. By utilising
the Internet, Smart devices, sensors and switches technologists have designed
systems that save energy in an intelligent fashion, saving the consumer money in
the process.
The Internet of things

Sometimes the simplest ideas are the best: The Internet of Things uses the existing
infrastructure of the Internet to allow devices to communicate and share data. These
devices include sensors, Smart devices, lights, motors and vehicles as well as any
compatible electronics. The advantages of such a system are increases in automation,
accuracy, efficiency and experience quality; going beyond current “machine : machine”
systems. It is estimated that the IOT will contain over 50 billion objects by 2020.
The Internet of Energy
As a subset of the IOT, the Internet of Energy (IOE) encompasses all objects involved in
provision and use of electricity from the power grid down to individual electronic devices.
The main objective of the IOE is to develop hardware, software and middleware for
seamless, secure connectivity and interoperability achieved by connecting the Internet
with the energy grids. The implementation of IoE services involves the use of multiple
components, including embedded systems, power electronics or sensors; which are an
essential part of the infrastructure dedicated to the generation and distribution energy.
The Smart Grid
Large territories have developed interconnected electrical supply systems that use the
same voltages and currents; these are most evident in large countries/continents like
USA, Brazil and the EU where the electrical grids are standardised.
The IOE makes use of millions of sensors across the grid (devices, sockets etc) and
integrated computing systems, connected using existing Internet infrastructure, allowing
the prediction of future energy requirements: The Smart Grid. This affords huge savings in
the amount of energy usage, in the form of fossil fuels and others. Encouragingly there
are currently over 500 Smart Grid projects throughout the EU.
Smart Energy Devices
Smart socket devices on the market offer basic functionality that trails behind what has
been achieved in the lab; available devices can turn off appliances, run schedules and
monitor consumption but they are not fully automated ie. they do not respond intelligently
to real time changes.
The importance of Smart devices in the IOE cannot be underestimated and researchers at
The University of Coruña have recently presented a system that monitors electrical usage
in the home and optimises consumption according to user preferences and electricity
prices.
Researchers have a produced an integrated system that uses live electricity prices,
obtained from the Internet, in order to optimise usage for the user. This system also self-
organises, using the WiFi infrastructure so that it can collect data with minimal user
intervention. All of the software is open source, allowing its modification by future
developers and uses.
The System
Sensor and actuation subsystem: This controls the sensors and actuators of the system;
responsible for collecting current data and for activating the power outlet when it receives
a request from the control subsystem.

Communications subsystem: This consists of wireless transceivers that join an auto-
configurable star topology.
Management subsystem: This provides the user with the possibility of obtaining the
current status of all modules, modifying their configuration and acting directly on them
remotely through a web interface.
Control subsystem:This oversees controlling and managing the remaining subsystems,
processing the data through the appropriate algorithms and acts as the gateway of the
network to connect to the Internet.
The Future of the IOE
It has been demonstrated that this system can be used to operate devices at optimum
times, saving energy and money (up to 70€ / year /device) by using online energy prices.
It could also be optimised according to energy availability; for example, washing
machines would be used at midday, when the electricity generated from solar panels is at
a maximum. Smart sockets, thermostats and motion detectors are well established
technologies that are integrated into the IOE in Smart Houses; these monitor all energy
used by the home and data can be analysed / modelled for specific streets or areas.
The Internet of Energy will ultimately provide a beautifully integrated system that monitors
and predicts consumption patterns. Eventually systems like the one presented here will
exist in all homes and feedback data that optimises power generation. This system will
offer high levels of participation to the user; plug and play convenience for new devices;
faster response to power outages and faults; and resilience to attack and natural
disasters. The IOE can operate on a small scale, saving the user money in the home; as
well on the grid scale, allowing more efficient electricity generation and decreasing fossil
fuel usage.
References
1. Steinbach, E., Kranz, M., Maier, W., Schweiger, F. & Alt, N. Advances in media
technology. Camera5, 247–8 (2011).
2. Blanco-Novoa, Ó., Fernández-Caramés, T., Fraga-Lamas, P. & Castedo, L. An
Electricity Price-Aware Open-Source Smart Socket for the Internet of Energy.
Sensors17, 643 (2017)
Google's big data calculates US rooftop
solar potential
Source URL: http://www.decentralized-energy.com/articles/2017/03/google-s-big-data-
calculates-us-rooftop-solar-potential.html
20/03/2017
By Tildy Bayar
Features Editor

In an application of big-data capabilities to the decentralized energy sector, a project by
Google has found that almost 80% of rooftops in the US are suitable for solar systems.
Since its inception in 2015, the company’s Project Sunroof has analyzed around 60 million
buildings in all 50 US states, determining overall that 79% have enough unshaded area to
install photovoltaic (PV)panels.
In sunnier states such as Hawaii, Arizona, Nevada and New Mexico, the analysis found
that over 90% of rooftops could support PV, while rooftops in more northerly states such
as Pennsylvania, Maine and Minnesota are only around 60% suitable.
Among cities, Houston in Texas has the most solar potential, with an estimated 18,940
GWh of rooftop solar generation potential per year. Other sunny cities such as Los
Angeles in California, Phoenix in Arizona and San Antonio in Texas follow in the rankings,
with northern and often snow-bound (yet roof-plentiful) New York City in fifth place.
[Native Advertisement]
Google said the Project Sunroof tool uses imagery from its Google Maps and Google
Earth in combination with 3D modelling and machine learning. For every building included
in the data, Project Sunroof calculates the amount of sunlight received by each portion of
its roof over the course of a year, taking into account weather patterns, the sun’s position
in the sky at different times of the year, and shade from trees and tall buildings. This
estimated sunlight is translated into energy production using industry standard models for
solar installation performance.
According to Google, if the top 10 cities reached their full rooftop solar potential, they
could produce enough energy to power eight million homes across the US.
Energy management: Oracle Utilities
launches smart grid and IoT device
management solution in the cloud
Source URL: http://www.utilityproducts.com/articles/2017/03/energy-management-
oracle-utilities-launches-smart-grid-and-iot-device-management-solution-in-the-
cloud.html
03/23/2017
Energy management: Oracle has introduced Oracle Utilities Operational Device Cloud
Service (ODCS), a new cloud offering that enables utilities to further automate the
management of their grid assets and devices, at a total lower cost of ownership.

The utilities industry is going through tremendous transformation as a result of IoT and
increasing distributed energy resources. The United States alone has more than 70 million
smart meters installed [footnote] and utilities are increasingly deploying smart field
sensors. As each smart device has its own unique requirements for maintenance,
inspection, firmware upgrades and security, utilities are struggling to manage the lifecycle
of these assets in a single, centralized way. In response to these challenges, Oracle has
unveiled a cloud-based version of its Operational Device Management Solution that
provides a scalable and future-proof way to manage IoT device operations.
Available as a new stand-alone cloud service, ODSC automates the management of
smart grid and IoT devices. When combined with Oracle Utilities Work and Asset
Management solution, it delivers a unified solution in the cloud to extend asset
performance management to smart devices at a massive scale. This complete visibility of
smart assets delivers detailed insights into each device’s location, characteristics, health,
and firmware upgrade status. In addition, utilities can extend ODCS for customer—owned
asset registration processes such as smart thermostats and solar PVs. Additionally, by
leveraging the cloud, utilities can reduce their total cost of ownership.
“We’re in front of the dramatic shifts the utilities industry is experiencing, providing new
technologies that meet the needs of our customers as they navigate this changing
landscape,” said Rodger Smith, general manager and senior vice president for Oracle
Utilities. “We’re committed to innovation, and to providing cloud solutions that make
operational excellence a reality for electric, gas and water utilities worldwide.”
The solution can be added to Oracle Utilities Work and Asset Cloud Service and Oracle
Utilities Meter Data Analytics Cloud Service or used as a stand-alone solution depending
on a utility’s requirements.
New Features in Oracle Utilities Operational Device Management Cloud Service:
• Proactively adjust, update, and repair smart grid and IoT devices as needed
• Enable significant cost savings by eliminating labor costs due to physical data collection
with automated processes
• Reduce total cost of ownership by using the most up to date IT infrastructure in the
cloud and alleviating the need to continually maintain older systems
• Find risks of device failures faster with increased visibility into the age and reliability of
each device
• Prepare for asset registration capabilities of customer-owned assets
Are vehicles the mobile sensor beds of
the future?
Source URL: http://readwrite.com/2017/03/22/are-vehicles-the-mobile-sensor-beds-of-
the-future-tl1/
Posted on March 22, 2017 in Connected Devices, Smart Cities, Transport

When people think of a car, they think of the thing that gets them from one place to the
next. Traditionally they have been just that: a tool with a single function – to get someone,
or something, from one place to another.
With the advent of new vehicle designs and the addition of new technology, that is going
to change. Just like phones have evolved over the last two decades from a single purpose
tool to one with countless functions, vehicles are now undergoing something similar.
New vehicles are being built with an increasing number of sensors. These sensors are not
only measuring how the vehicle is operating, but are starting to measure the
environmental conditions they are being used in too. Future vehicles will effectively
become mobile sensor beds, collecting data, at a granular level, across the whole planet.
The massive amounts of data being generated will be perfect for the application of
machine learning. The created algorithms will have an unprecedented level of
understanding on how the environments outside the vehicles will change over time,
Imagine a car that selected a playlist based on driving conditions. Or that knew an icy
patch was up ahead because the car that drove past that point an hour ago sensed wet
road conditions and the temperature has just dropped to the point that it will freeze.
These are just the tip of the iceberg on some of the things machine learning will bring to
vehicles on the road.
Startups are leading the charge
Current technology tends to revolve around the creation or aggregation of data with an
intended future application to machine learning. Nauto and UrbanLogiq are two startups
in this space.
Nauto is building a data set to help OEMs and other partners develop the next generation
of autonomous capability for vehicles in urban areas. However, their data set also
includes things such as road conditions and how they change over time. This could be
used, alongside machine learning, in the future to determine when and where cities
should do maintenance to optimize their budgets and road safety.
UrbanLogiq is not building a data set, but preparing governments for the arrival smart car
technology. They’re building a platform that would integrate data from systems like Nauto
with the government’s own traffic sensor data to facilitate responsive traffic light timing.
Using machine-learning, this aggregation of data will help city planners understand and
predict the evolution of their communities
This month, Google has also made a play in this space to tackle a common pain in city
driving – finding where to park. They are using the data they collect to create predictions
on where there might be free parking.
Creating an intelligent future
These technologies are just the start of how environment data collected from vehicles will
change the world. With millions of vehicles on the roads every day, they will be collecting

data everywhere and on potentially everything they come across.
A change that will probably happen in the near future is related to weather data, patterns,
and forecasts. Each vehicle could be constantly collecting temperature, pressure, and
potentially even wind speed and uploading all that data to a centralized system. With
millions of vehicles on the road, you have a geographic data set that is extremely granular
allowing strong predictions on how the weather will change over time. With machine
vision added to these vehicles, the possibilities increase exponentially, allowing for exact
positioning of lightning, and high-resolution, three-dimensional modeling of storm fronts.
Once you have strong weather predictions you can merge the data set with supply chain
data. This will allow companies to optimize their supply chain and inventory based on
future weather. The concept of shelves being out of stock due to weather or a
manufacturing bottleneck due to parts being unexpectedly delayed will become a thing of
the past. Companies will be able to leverage theenvironmentaldata coming oﬀ vehicles to
allow them to optimize their operations around future weather.
Another situation you will see is machine learning driven advice on when to schedule
events. You might be able to get a warning that by scheduling an event at one time, the
weather coupled with traﬃc will make it take an hour to get there. However, if you
schedule it an hour earlier, it may only take 15 minutes.
Environmental sensors could even be merged with sensors monitoring the driver or
passengers in the vehicle. Knowledge of what conditions make a driver feel stressed or
relaxed could be used to determine when they should drive or be driven for them to feel
best.
We can look forward to a future where our vehicles will understand the environments they
will be operating in and how that knowledge will be used to optimize our lives.
Allowing vehicles to understand the environment
Rethinking what a vehicle is. Vehicles transitioning from simply a transportation tool to a
series of sensors that travel across the world. These sensors could pick up changing road
conditions or weather patterns. These large new data sets can then be used by
governments (road repairs), insurance, or routing purposes and will allow people to make
the best data-driven decisions.

This article is part of our connected cars series. You can download a high-resolution
version of the landscape featuring 250 companies here.

Revue de presse IoT / Data du 26/03/2017

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Revue de presse IoT / Data du 26/03/2017