Скачать или смотреть FOSS4G 2021-Terristory : a sustainable energy observatory becoming a mutualized nation-wide platform

Terristory is a web platform providing a sustainable energy observatory oriented towards decision-makers and territory planners.

AURA-Energie Environnement is a French association acting on account of the Auvergne-Rhône-Alpes region to promote sustainable energy. Aura-EE started the Terristory project a couple of years ago, in order to put their data on the web.
Energy data is geographic by nature, and one of the main aspect of managing energy is being able to observe its characteristics on a given territory.

From a simple data viewer, Terristory evolved into a full platform for data observation. Dynamic graphs have been added, and some advanced features like :
create scenarii on Energy equipment ( e.g. build a methanizer )
impact of decisions on local employment

Terristory is based on OpenSource software : PostGIS, Python, OpenLayers, Vector tiles… The full code for the Terristory platform itself is opensource and will be published publicly in 2021.

Terristory was initially funded by a single actor and deployed in a single region. In 2020, the project accelerated : it evolved into a consortium to support the platform and deploy it in other regions. This evolution made Terristory a national project, and a reference platform for energy data visualization. This mutation is interesting on multiple levels, as it is totally coherent with an opensource project :
from a simple project to a full platform
from a single developer from a single company to multiple developers from various origins
from a single funder to multiple funders organized as a consortium
from a single actor for roadmap definition to a mutualized roadmap

This transformation makes the project's history and experience unique. The battle for climate is open, and platforms such as Terristory have a strong role to play. It should be an inspiration for any project oriented towards opensource, opendata and resource mutualization.

Terristory is a web platform providing a sustainable energy observatory oriented towards decision-makers and territory planners.

AURA-Energie Environnement is a French association acting on account of the Auvergne-Rhône-Alpes region to promote sustainable energy. Aura-EE started the Terristory project a couple of years ago, in order to put their data on the web.
Energy data is geographic by nature, and one of the main aspect of managing energy is being able to observe its characteristics on a given territory.

From a simple data viewer, Terristory evolved into a full platform for data observation. Dynamic graphs have been added, and some advanced features like :
create scenarii on Energy equipment ( e.g. build a methanizer )
impact of decisions on local employment

Terristory is based on OpenSource software : PostGIS, Python, OpenLayers, Vector tiles… The full code for the Terristory platform itself is opensource and will be published publicly in 2021.

Terristory was initially funded by a single actor and deployed in a single region. In 2020, the project accelerated : it evolved into a consortium to support the platform and deploy it in other regions. This evolution made Terristory a national project, and a reference platform for energy data visualization. This mutation is interesting on multiple levels, as it is totally coherent with an opensource project :
from a simple project to a full platform
from a single developer from a single company to multiple developers from various origins
from a single funder to multiple funders organized as a consortium
from a single actor for roadmap definition to a mutualized roadmap

This transformation makes the project's history and experience unique. The battle for climate is open, and platforms such as Terristory have a strong role to play. It should be an inspiration for any project oriented towards opensource, opendata and resource mutualization.

Authors and Affiliations –
Sylvain Beorchia, Oslandia
Vincent Picavet, Oslandia
Pierrick Yalamas, AURA-EE
Track –
Use cases & applications

Topic –
Data collection, data sharing, data science, open data, big data, data exploitation platforms

Level –
2 - Basic. General basic knowledge is required.

Language of the Presentation –
English