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Good practice #5-1 | Saint-Sulpice Smart City | ||
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Main institution involved | Municipality of Saint Sulpice la Forêt | ||
Field: | |||
Energy monitoring | X | Financial monitoring | |
Location | Saint Sulpice la Forêt / Bretagne / France | ||
Public buildings | |||
Timescale | 2016 - ongoing | ||
Good practices categories | |||
1-Good Practice measurement (hardware) | X | 5-Good data (energy and/or financial) collections system | X |
2-Good software | 6-Good energy and/or financial indicators and/or ergonomy | ||
3-Good financial tools | 7-Good data analysing system | X | |
4-Good organisation and management | X | 8-Good use of data | X |
Abstract or Summary | The energy and water consumption of communal buildings were analyzed and several points of improvement were identified: -Have “real time” consumption indicators -Identify leaks, or malfunctions as quickly as possible -Control the heating of communal facilities according to their use -Informing agents and users of the impact of their actions on the consumption of buildings in order to adapt behaviors In order to meet its energy consumption reduction problem, Saint Sulpice city set up a simple installation, requiring neither works and wiring. The deployment of a network of wireless sensors (with a very large Autonomy, 10 years on battery) allowing to study several parameters: temperature, water, gas and electricity. The data are collected and processed and the relevant information is returned, in the form of a dashboard, through an application. The equipments ( air conditioning, heating, light ) can also be controlled remotely. In addition, in case of anomaly (for example a water leak), the application send an alert allowing to act quickly. It is the alliance of the start-up Wi6Labs and the companies Alkante and TDF, which made it possible to develop this simple solution of installation, use and maintenance. The assistance of the Brittany Region, Ademe and Rennes Métropole has been necessary for the project. The experiment during 18 months, within the framework of the innovation aid Rennes Saint Malo Lab. In this project the municipality is a territory of experimentation for the two companies Wi6Labs and Alkante. The objective is to validate that the solution implemented allows us to reduce the energy consumption of buildings by at least 20% (savings of 10,000 € per year) and to have a return on investment less than 5 years. With the data collected, the municipal team will be able to define an energy optimization strategy. In addition, the savings will enable the city to get involved in other projects. The city of Saint-Sulpice-la-Forêt opens the way to a multitude of “Smart Village”, which should appear in the years to come. |
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Financial scheme | (Rennes Metropole (conurbation in which Saint Sulpice belongs) invested in the LoRa infrasctructure | ||
Further informations | https://www.saint-sulpice-la-foret.fr/la-commune/les-projets/96-projets/450-smart-saint-sulpice-installation-des-capteurs | ||
Contact details | name of the organisation or partner, email, phone… where any interested can get more detailed info about the GP | ||
Long description | (if available) | ||
Pictures, videos |
Good practice #5-2 | Arduino and Raspberry Pi electricity monitoring | ||
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Main institution involved | Agglomeration of Le Havre | ||
Field: | |||
Energy monitoring | X | Financial monitoring | |
Location | Le Havre / Normandy / France | ||
Jules Siegfried High School / several public buildings | |||
Timescale | 2016 - ongoing | ||
Good practices categories | |||
1-Good Practice measurement (hardware) | X | 5-Good data (energy and/or financial) collections system | X |
2-Good software | X | 6-Good energy and/or financial indicators and/or ergonomy | |
3-Good financial tools | X | 7-Good data analysing system | |
4-Good organisation and management | 8-Good use of data | X |
Abstract or Summary | The Energy Department of the Agglomeration community of Le Havre and the Jules Siegfried High School (Le Havre) are implementing an experiment with cheap and easy monitoring system based on free and open source hardware enhanced with self-developed software. This project started in mid-2016 | ||
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Financial scheme | (not available) | ||
Further informations | (web) | ||
Contact details | name of the organisation or partner, email, phone… where any interested can get more detailed info about the GP | ||
Long description | Electricity consumption increases every year in public buildings despite energy efficiency efforts (lights, exhaust system, regulated systems…). In order to foster electricity savings - and save money, the first step is to know exactly which equipment consumes (and when) in the building. DIY monitoring systems are cheap, easy to modify, upgrade and share. For on-the-spot datalogging (2 or 3 weeks), an Arduino Uno [+SD card and RTC shield] is used to collect data from the ENEDIS (French electricity network manager) electricity meter already installed on all sites. Old and new electricity meters can easily deliver data for power, consumption and intensity. \\On a simple request (and low price: 30 EUR), ENEDIS open the data flow port of their meters. With simple and low-cost electronical materials (resistances, wires, optocoupler…) and few lines of code, signal is received by Arduino, converted and saved on a SD card each minute during 2 or 3 weeks. For long-term datalogging installation, a Raspberry Pi - with Python3, is used with a more complex architecture still in development: network connection is needed to store data on a remote server. At the moment, only few prototypes with three Arduino and one with Raspberry Pi are used to collect electricity data on four sites of the Agglomeration community. After a year, results are great and several buildings have been optimized with cheap but specific improvements: - decreasing and optimized subscribed power (kW), -new heating and water production regulation or improvement, -decreased consumption during high cost period. New electricity meters (Linky) with new code will probably increase and improve data monitoring. |
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Pictures, videos |
Good practice #5-3 | Arduino and Raspberry Pi electricity monitoring | ||
---|---|---|---|
Main institution involved | Agglomeration of Le Havre | ||
Field: | |||
Energy monitoring | X | Financial monitoring | |
Location | Le Havre / Normandy / France | ||
Jules Siegfried High School / several public buildings | |||
Timescale | 2016 - ongoing | ||
Good practices categories | |||
1-Good Practice measurement (hardware) | X | 5-Good data (energy and/or financial) collections system | X |
2-Good software | X | 6-Good energy and/or financial indicators and/or ergonomy | |
3-Good financial tools | X | 7-Good data analysing system | |
4-Good organisation and management | 8-Good use of data | X |
Abstract or Summary | The Energy Department of the Agglomeration community of Le Havre and the Jules Siegfried High School (Le Havre) are implementing an experiment with cheap and easy monitoring system based on free and open source hardware enhanced with self-developed software. This project started in mid-2016 | ||
---|---|---|---|
Financial scheme | (not available) | ||
Further informations | (web) | ||
Contact details | name of the organisation or partner, email, phone… where any interested can get more detailed info about the GP | ||
Long description | Electricity consumption increases every year in public buildings despite energy efficiency efforts (lights, exhaust system, regulated systems…). In order to foster electricity savings - and save money, the first step is to know exactly which equipment consumes (and when) in the building. DIY monitoring systems are cheap, easy to modify, upgrade and share. For on-the-spot datalogging (2 or 3 weeks), an Arduino Uno [+SD card and RTC shield] is used to collect data from the ENEDIS (French electricity network manager) electricity meter already installed on all sites. Old and new electricity meters can easily deliver data for power, consumption and intensity. \\On a simple request (and low price: 30 EUR), ENEDIS open the data flow port of their meters. With simple and low-cost electronical materials (resistances, wires, optocoupler…) and few lines of code, signal is received by Arduino, converted and saved on a SD card each minute during 2 or 3 weeks. For long-term datalogging installation, a Raspberry Pi - with Python3, is used with a more complex architecture still in development: network connection is needed to store data on a remote server. At the moment, only few prototypes with three Arduino and one with Raspberry Pi are used to collect electricity data on four sites of the Agglomeration community. After a year, results are great and several buildings have been optimized with cheap but specific improvements: - decreasing and optimized subscribed power (kW), -new heating and water production regulation or improvement, -decreased consumption during high cost period. New electricity meters (Linky) with new code will probably increase and improve data monitoring. |
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Pictures, videos |
Good practice #X-X | Please provide a title | ||
---|---|---|---|
Main institution involved | name of the institution | ||
Field: | |||
Energy monitoring | Financial monitoring | ||
Location | Name the city / region / state | ||
Name the type of building (school, library, etc.) | |||
Timescale | (start/end date / ongoing) | ||
Good practices categories | |||
1-Good Practice measurement (hardware) | 5-Good data (energy and/or financial) collections system | ||
2-Good software | 6-Good energy and/or financial indicators and/or ergonomy | ||
3-Good financial tools | 7-Good data analysing system | ||
4-Good organisation and management | 8-Good use of data | ||
Abstract or Summary | max 300 words | ||
Further informations | link to the web-info or similar | ||
Contact details | name of the organisation or partner, email, phone… where any interested can get more detailed info about the GP | ||
Long description | (if available) | ||
Pictures, videos | (if avaiable) |