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Smart grid sensor future market size analysis forecast

2021-04-25

Although the smart grid sensor market is expected to double in size by 2014, revenues will easily exceed 200 million U.S. dollars by 2018, and this market is only a small part of the global machine-to-machine (M2M) data acquisition, convergence and drive device market. In addition, an analysis report released recently by MachinaResearch Company shows that today's machine-to-machine communication has reached 2 billion M2M connections, and by 2022, the number of connections will increase to 18 billion, and the compound annual growth rate will reach 22% that is difficult to believe. .

At the recently held Paris Smart Grid Conference, in addition to hardware meter reading solutions, visitors quickly noticed that the focus of the show was on data management, analysis, and data monetization opportunities. Although utility providers exhibited a number of meter reading solutions, such as Linky smart meters from ERDF, and various smart plugs, the power consumption data of any appliance connected through these plugs could be extracted, but the biggest highlight of the conference was actually This is how best to use this data through a simple user interface. The utility provider needs all data, but the end user is most likely to be a subset of the measurement data, and they are encouraged to develop specific energy consumption habits through simplified response scenarios and economic incentives.

Although there are many hardware solutions for power measurement, considering the user's own freedom to interpret and operate to reduce energy consumption costs, determining the data level displayed by the end user becomes a very difficult task, and Europe has introduced many Pilot projects.

Data access to the Internet makes it easier for users to manage energy usage

France has just set up a TBH (TableaudeBorddel's residence means residential environment control panel) consortium led by EcoCO2=, designed to assess how end users understand their energy consumption methods and make decisions based on the types of information and interactive platforms provided to them. reaction.

The pilot project involves 4,000 resident users covering a variety of residential environments who have the opportunity to interact with one of 10 different user interfaces. As one of the alliance partners, Fludia mainly provides analysis results of the energy consumption generated by the final use. For old measuring devices, the company has also developed an add-on optical reader, the Fludiameter, which optically reads standard non-intelligent meters (such as electricity meters with warning lights and black on the disks. Sign of electromechanical meter). This reader can send short samples within one minute or one minute.

The pulse output sends the result to any kind of remote measurement terminal. Using the collected information, Fluvia's algorithm can obtain information from heaters, water heaters, standby appliances, refrigerators, and lighting fixtures through data analysis. The results are then provided to public facility providers through web services or machine-to-machine solutions, and some of the information is pushed to their end users through the residential entrance.

This is where the Internet provider comes in because energy measurement data and smart home control interfaces can be easily bundled with Internet access points (rather than adding a dedicated screen at home) and displayed directly on the consumer’s own On the mobile device.

Optimize management mode with cloud platform

At the aforementioned smart grid conference, Bouygues Telecom, Ijenko, and IS2T demonstrated what they call the FifthPlay smart grid service embedded in Bouygues Telecom's BboxSensation internet gateway. Based on the cloud-based Ijenko platform and the IS2T MicroEJjava embedded platform, the service can control a variety of open-standard sensors and drivers locally or remotely through the Bbox gateway.

In this way, the router becomes the center of all household appliances. It can also realize the connection between the smart grid and the larger Internet of Things (IoT) world. In the Internet of Things, machine-to-machine communication is the key, generally through the cloud. Complete the transfer.

The cloud-based Ijenko energy management solution allows third parties (utilities, telecommunications and service integrators) to deploy their software and provide energy efficiency and demand response services to their residential customers. This helps balance the need for utility optimization, micro-generation and storage, including the use of smart grid cars as backup energy storage.

Designed to define the most appropriate and intuitive user interface for end users and help them use energy-related data, Ijenko initiated a co-financing initiative for the Modelec project created by the public utility provider DirectEnergie (formerly GroupePoweoDirectEnergie).

The project included a trial of 2,000 users. In the trial, half of the users were equipped with a Linky smart meter, and the Other half were equipped with another type of smart meter. The experiment also invited some sociologists to participate, and they will try to explain how end users feel about their own measurement data and energy consumption patterns (and how to increase their energy awareness).

Their idea is to determine the best (most convincing) tactics to encourage these users to adopt appropriate low-energy measures (to reduce pressure on the grid) during peak hours, the most likely way being through tax incentives.

Some people suggest that these projects could allow utilities providers to remotely shut down the appliances selected on the list during peak hours or reduce thermostat settings. In addition to providing personalized skills to improve energy efficiency, the end-user interface can encourage residents to participate in individual or group challenge programs, or share experiences with their communities on social networks and learn the best practices.

These guiding interactions with end-users are expected to allow utility providers to improve their forecasts and profits through advanced analytics and behavioral representations.

Although Ijenko's Home Energy Management Service (HEMS) was showcased on the new Intel Puma 6 Multiservice Gateway (MSG), Ijenko itself also manufactures energy gateways and smart metering plugs that can be used to monitor electrical energy consumption and perform remote control.


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