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

Voici la revue de presse IoT/data/energie du 26 mars 2017.

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1. From the Edge To the Enterprise2. The Internet of Energy: Smart Sockets3. Google's big data calculates US rooftop solar potential4. Energy management: Oracle Utilities launches smart grid and IoT device

management solution in the cloud5. Are vehicles the mobile sensor beds of the future?

From the Edge To the EnterpriseSource URL: http://www.elp.com/articles/powergrid_international/print/volume-22/issue-3/features/from-the-edge-to-the-enterprise.html03/20/2017

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 Internetof Things (IoT) for the utilities industry, the industry is already changing and transformingbecause of it.

To be clear, the utility industry is not unfamiliar with the IoT. The smart grid applies IoTtechnology (such as smart sensors, two-way communications and data analytics) to theelectric grid infrastructure. This enables better efficiency, improved reliability, theintegration of more renewables and distributed energy resources, reduced emissions andmore engaged and empowered customers.

Now, utilities are perfectly positioned to use this solid foundation to take advantage of IoTas it expands, setting the stage for continued business relevance, growth andimprovement in the years ahead.

The IoT's value proposition for utilitiesIn 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 consumerenergy technology devices at the edge of the grid. But even more important than thisubiquitous communication is the sensor data being gathered by these machines, and theways in which that data can be operationalized for more efficient and proactive utilityefforts.

IoT is all about the services: transforming data from disparate devices into valued insightsand 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 dispatchtechnicians in the field

• Transform the business from the edge to the enterprise, including the control andmaintenance of new generation assets

Deploying Utility IoTIt's not necessary to take an "all-in, boil-the-ocean" approach to IoT. Instead, taking aphased approach allows for learning and adjusting along the way.

In the first phase, the focus is on validating the business value of IoT by quicklyconnecting assets and monitoring them, with the focus being purely on monitoring thedevices 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, identifyingenergy usage patterns, etc.

In the third phase, IoT is strongly tied into enterprise processes and applications, tooptimize the back office and proactively provide an increasingly engaged customerexperience.

What does this look like, optimally? Let's look at different ways to leverage IoTtechnologies to enable the vision of the future utility.

Deeper insights into asset performance managementAsset performance management is an integral tool for utilities juggling ever-increasingoperating costs with a need to reduce expenses, decrease environmental impact anddeliver more customer-centric service. Low-cost, smart field sensors are now providingmany real-time eyes all along the grid, enabling utility operators to "keep a close eye" onassets 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 aggregateall asset data, including work history and condition rating, into a single system, balancethe importance of one factor over another, and update in real-time any condition changesas they occur, allows the utility to make more reliable and meaningful investment andwork 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 andsubjective or observed, eyes-in-the-field assessment. In an increasingly digitized utilityenvironment, this type of assessment is being replaced by objective data analysis that isby its nature more accurate, providing utilities with far more actionable insight thanbefore. When this analysis is automated as a core business process, it has alreadydemonstrated significant capacity to affect margin: proactive work has been shown toreduce asset failure rates and drive down the cost to operate each asset, therebyincreasing revenue.

Here is a specific example to illustrate: By scheduling proactive work during normalbusiness hours instead of having to react to a failure with an after-hours call-out, you canreduce costs while significantly improving reliability. With smart sensor and controldevices-many of which are IP-addressable and wireless connected-along the utility'sinfrastructure, you can also add automated, real-time asset analysis to your assetmanagement practices. Advanced asset risk analytics can then correlate the appropriatedata from across the enterprise to provide immediate prescriptive maintenance workrequests.

Improved grid optimization with new energy resourcesElectric utilities recognize the need for new distribution network technologies toaccommodate sustainable growth and customers' growing interest in grid-connected,customer-owned distributed energy resources (DER) such as rooftop solar and on-siteenergy storage. This customer-led energy evolution is driving change for utilities, too, interms of the way the modern distribution grid will soon need to operate. These new gridparticipants want to connect with their utilities in a different manner than we have seen inthe 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 tochange the way they manage the grid.

IoT technologies offer utilities the ability to take a data-centric approach to distributionmanagement, providing a means in which to monitor, control and optimize both traditionaldistribution and new, consumer energy resources. By treating each DER as an asset, andmodeling its generation output profile similarly (by aggregating the asset data, as well asits unique attributes such as location, direction and pitch of panels, condition of use, timeof day, etc.), the utility can better forecast how and where within its service territory thoseDER assets will impact the distribution grid, and use this information to improve long-termresource planning.

Distribution grid operation can be maximized, and real-time information can reduce thecapacity for intermittency issues (from solar resources) to cause disruption or safetyproblems, improve generation output profiling (thereby minimizing customer interruptionminutes), 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 marketAs consumer-owned in-home devices and DER continue to increase, IoT technologies willbe the foundation for an even smarter smart grid, one that can support the transactiveenergy 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 futureenergy 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 thegrid upon which it manages and distributes its product, is transforming.

In this transformative period, utilities have a choice: they can view the challenge to theirtraditional ways of doing business as a threat, or they can turn it into a businessopportunity to improve their investment performance, lower operating costs, and providetheir customers with ways in which to participate that fit their changing expectationsabout the ways they use electricity.

The transactive energy construct paves the way for this future vision, and IoTtechnologies will provide the tools for utilities to effectively manage this new, dynamicmarket exchange equation, balancing energy supply and demand and monitoring gridasset health in real-time.

Taking the next stepsEnd-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 thework their distribution grids is being asked to do evolves. The IoT enables utilities tocreate a scalable, flexible and more modular infrastructure that will be much betterequipped to face new challenges, and to quickly adapt as markets and situations change.

The Internet of Energy: Smart SocketsSource 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 afully integrated electrical system thatis safer, cleaner and sustainable. By utilisingthe Internet, Smart devices, sensors and switches technologists have designedsystems that save energy in an intelligent fashion, saving the consumer money inthe process.

The Internet of things

Sometimes the simplest ideas are the best: The Internet of Things uses the existinginfrastructure of the Internet to allow devices to communicate and share data. Thesedevices include sensors, Smart devices, lights, motors and vehicles as well as anycompatible 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 inprovision 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 forseamless, secure connectivity and interoperability achieved by connecting the Internetwith the energy grids. The implementation of IoE services involves the use of multiplecomponents, including embedded systems, power electronics or sensors; which are anessential part of the infrastructure dedicated to the generation and distribution energy.

The Smart Grid

Large territories have developed interconnected electrical supply systems that use thesame voltages and currents; these are most evident in large countries/continents likeUSA, Brazil and the EU where the electrical grids are standardised.

The IOE makes use of millions of sensors across the grid (devices, sockets etc) andintegrated computing systems, connected using existing Internet infrastructure, allowingthe prediction of future energy requirements: The Smart Grid. This affords huge savings inthe amount of energy usage, in the form of fossil fuels and others. Encouragingly thereare 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 hasbeen achieved in the lab; available devices can turn off appliances, run schedules andmonitor consumption but they are not fully automated ie. they do not respond intelligentlyto real time changes.

The importance of Smart devices in the IOE cannot be underestimated and researchers atThe University of Coruña have recently presented a system that monitors electrical usagein the home and optimises consumption according to user preferences and electricityprices.

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 userintervention. All of the software is open source, allowing its modification by futuredevelopers 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 receivesa 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 thecurrent status of all modules, modifying their configuration and acting directly on themremotely 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 thenetwork to connect to the Internet.

The Future of the IOE

It has been demonstrated that this system can be used to operate devices at optimumtimes, 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, washingmachines would be used at midday, when the electricity generated from solar panels is ata maximum. Smart sockets, thermostats and motion detectors are well establishedtechnologies that are integrated into the IOE in Smart Houses; these monitor all energyused 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 monitorsand predicts consumption patterns. Eventually systems like the one presented here willexist in all homes and feedback data that optimises power generation. This system willoffer 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 naturaldisasters. The IOE can operate on a small scale, saving the user money in the home; aswell on the grid scale, allowing more efficient electricity generation and decreasing fossilfuel usage.

References

1. Steinbach, E., Kranz, M., Maier, W., Schweiger, F. & Alt, N. Advances in mediatechnology. Camera5, 247–8 (2011).

2. Blanco-Novoa, Ó., Fernández-Caramés, T., Fraga-Lamas, P. & Castedo, L. AnElectricity Price-Aware Open-Source Smart Socket for the Internet of Energy.Sensors17, 643 (2017)

Google's big data calculates US rooftopsolar potentialSource URL: http://www.decentralized-energy.com/articles/2017/03/google-s-big-data-calculates-us-rooftop-solar-potential.html20/03/2017By Tildy BayarFeatures Editor

In an application of big-data capabilities to the decentralized energy sector, a project byGoogle 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 millionbuildings in all 50 US states, determining overall that 79% have enough unshaded area toinstall photovoltaic (PV)panels.

In sunnier states such as Hawaii, Arizona, Nevada and New Mexico, the analysis foundthat over 90% of rooftops could support PV, while rooftops in more northerly states suchas Pennsylvania, Maine and Minnesota are only around 60% suitable.

Among cities, Houston in Texas has the most solar potential, with an estimated 18,940GWh of rooftop solar generation potential per year. Other sunny cities such as LosAngeles 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.

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Google said the Project Sunroof tool uses imagery from its Google Maps and GoogleEarth in combination with 3D modelling and machine learning. For every building includedin the data, Project Sunroof calculates the amount of sunlight received by each portion ofits roof over the course of a year, taking into account weather patterns, the sun’s positionin the sky at different times of the year, and shade from trees and tall buildings. Thisestimated sunlight is translated into energy production using industry standard models forsolar installation performance.

According to Google, if the top 10 cities reached their full rooftop solar potential, theycould produce enough energy to power eight million homes across the US.

Energy management: Oracle Utilitieslaunches smart grid and IoT devicemanagement solution in the cloudSource URL: http://www.utilityproducts.com/articles/2017/03/energy-management-oracle-utilities-launches-smart-grid-and-iot-device-management-solution-in-the-cloud.html03/23/2017

Energy management: Oracle has introduced Oracle Utilities Operational Device CloudService (ODCS), a new cloud offering that enables utilities to further automate themanagement 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 andincreasing distributed energy resources. The United States alone has more than 70 millionsmart meters installed [footnote] and utilities are increasingly deploying smart fieldsensors. As each smart device has its own unique requirements for maintenance,inspection, firmware upgrades and security, utilities are struggling to manage the lifecycleof these assets in a single, centralized way. In response to these challenges, Oracle hasunveiled a cloud-based version of its Operational Device Management Solution thatprovides a scalable and future-proof way to manage IoT device operations.

Available as a new stand-alone cloud service, ODSC automates the management ofsmart grid and IoT devices. When combined with Oracle Utilities Work and AssetManagement solution, it delivers a unified solution in the cloud to extend assetperformance management to smart devices at a massive scale. This complete visibility ofsmart assets delivers detailed insights into each device’s location, characteristics, health,and firmware upgrade status. In addition, utilities can extend ODCS for customer—ownedasset registration processes such as smart thermostats and solar PVs. Additionally, byleveraging the cloud, utilities can reduce their total cost of ownership.

“We’re in front of the dramatic shifts the utilities industry is experiencing, providing newtechnologies that meet the needs of our customers as they navigate this changinglandscape,” said Rodger Smith, general manager and senior vice president for OracleUtilities. “We’re committed to innovation, and to providing cloud solutions that makeoperational excellence a reality for electric, gas and water utilities worldwide.”

The solution can be added to Oracle Utilities Work and Asset Cloud Service and OracleUtilities Meter Data Analytics Cloud Service or used as a stand-alone solution dependingon 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 collectionwith automated processes• Reduce total cost of ownership by using the most up to date IT infrastructure in thecloud and alleviating the need to continually maintain older systems• Find risks of device failures faster with increased visibility into the age and reliability ofeach device• Prepare for asset registration capabilities of customer-owned assets

Are vehicles the mobile sensor beds ofthe 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 thenext. 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 goingto change. Just like phones have evolved over the last two decades from a single purposetool 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 notonly measuring how the vehicle is operating, but are starting to measure theenvironmental conditions they are being used in too. Future vehicles will effectivelybecome 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 ofmachine learning. The created algorithms will have an unprecedented level ofunderstanding 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 icypatch was up ahead because the car that drove past that point an hour ago sensed wetroad 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 tovehicles on the road.

Startups are leading the chargeCurrent technology tends to revolve around the creation or aggregation of data with anintended future application to machine learning. Nauto and UrbanLogiq are two startupsin this space.

Nauto is building a data set to help OEMs and other partners develop the next generationof autonomous capability for vehicles in urban areas. However, their data set alsoincludes things such as road conditions and how they change over time. This could beused, alongside machine learning, in the future to determine when and where citiesshould do maintenance to optimize their budgets and road safety.

UrbanLogiq is not building a data set, but preparing governments for the arrival smart cartechnology. They’re building a platform that would integrate data from systems like Nautowith 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 andpredict the evolution of their communities

This month, Google has also made a play in this space to tackle a common pain in citydriving – finding where to park. They are using the data they collect to create predictionson where there might be free parking.

Creating an intelligent futureThese technologies are just the start of how environment data collected from vehicles willchange 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, andpotentially even wind speed and uploading all that data to a centralized system. Withmillions of vehicles on the road, you have a geographic data set that is extremely granularallowing strong predictions on how the weather will change over time. With machinevision added to these vehicles, the possibilities increase exponentially, allowing for exactpositioning 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 chaindata. This will allow companies to optimize their supply chain and inventory based onfuture weather. The concept of shelves being out of stock due to weather or amanufacturing bottleneck due to parts being unexpectedly delayed will become a thing ofthe past. Companies will be able to leverage theenvironmentaldata coming off vehicles toallow them to optimize their operations around future weather.

Another situation you will see is machine learning driven advice on when to scheduleevents. You might be able to get a warning that by scheduling an event at one time, theweather coupled with traffic will make it take an hour to get there. However, if youschedule it an hour earlier, it may only take 15 minutes.

Environmental sensors could even be merged with sensors monitoring the driver orpassengers in the vehicle. Knowledge of what conditions make a driver feel stressed orrelaxed could be used to determine when they should drive or be driven for them to feelbest.

We can look forward to a future where our vehicles will understand the environments theywill be operating in and how that knowledge will be used to optimize our lives.

Allowing vehicles to understand the environmentRethinking what a vehicle is. Vehicles transitioning from simply a transportation tool to aseries of sensors that travel across the world. These sensors could pick up changing roadconditions or weather patterns. These large new data sets can then be used bygovernments (road repairs), insurance, or routing purposes and will allow people to makethe best data-driven decisions.

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