Urban Heating Networks of Rennes MétropoleRéseaux de chaleur urbains de Rennes Métropole

Name: Urban Heating Networks of Rennes Métropole
Creator: opendatasoft

Réseaux de chaleur urbains de Rennes MétropoleUrban Heating Networks of Rennes Métropole

APIExecutable4/7Query nowOpen workbench Subscribe🇫🇷France

This API provides geolocated data on the urban heating network (RCU) operated across the Rennes Métropole territory in France. Urban heating networks function by producing heat at central boiler plants and distributing it to subscribers through underground pipelines. The dataset maps the routing of these heating networks, allowing identification of covered areas. It is published and maintained by Rennes Métropole, the local metropolitan authority, as part of its open-data offering, and can support urban planning, energy infrastructure analysis, and studies of local heating provision.Les Réseaux de Chaleur Urbains (RCU) fonctionnent sur le principe suivant : des chaufferies produisent de la chaleur qui est ensuite distribuée aux abonnés via des canalisations souterraines. Cette couche localise le tracé des réseaux de chaleur urbains sur le territoire de Rennes Métropole.

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Trust score

How is this computed?

fair

Weighted across five axes. Tap a ring for what it measures.

Data schema (14 fields)

Filterable via the API (12)

gml_idid_reseau_chaleur_urbainnomtypetube_dimensionprecisionetatreleveannee_poseposetubeisolation

Click a field to see example values.

Fill	Field	Type	Description
—	geo_point_2dGeo Point	geo_point_2d	—
—	geo_shapeShape	geo_shape	—
—	gml_idGml id	text	—
—	id_reseau_chaleur_urbainId reseau chaleur urbain	int	—
—	nom	text	—
—	type	text	—
—	tube_dimensionTube dimension	int	—
—	precisionprécision	text	—
—	etat	text	—
—	releve	text	—
99.4%	annee_poseAnnee pose	int	—
83.9%	pose	text	—
34.4%	tube	text	—
48.5%	isolation	int	—

Schema captured from opendatasoft 19 hours ago.

Query the data

Pick columns and a sort, then fetch a live preview straight from the source. Choose an API-filterable column (marked ▾) under “Where” to pick from its list of values.

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Sample data (5 records)

Record 1nom: Sud · etat: En service

{
  "nom": "Sud",
  "etat": "En service",
  "pose": "Pleine terre",
  "tube": null,
  "type": "Basse pression",
  "gml_id": "reseau_chaleur_urbain.fid--7048b506_1a0850e91a2_-22ae",
  "releve": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiLineString",
      "coordinates": [
        [
          [
            -1.652525153923604,
            48.08751970195512
          ],
          [
            -1.652525490242419,
            48.08750824057542
          ],
          [
            -1.652500023772292,
            48.08750780480117
          ]
        ]
      ]
    },
    "properties": {}
  },
  "isolation": 2,
  "precision": "B",
  "annee_pose": 2015,
  "geo_point_2d": {
    "lat": 48.087509869323064,
    "lon": -1.6525166576218375
  },
  "tube_dimension": 200,
  "id_reseau_chaleur_urbain": 5784
}

Record 2nom: Sud · etat: En service

{
  "nom": "Sud",
  "etat": "En service",
  "pose": "Pleine terre",
  "tube": null,
  "type": "Basse pression",
  "gml_id": "reseau_chaleur_urbain.fid--7048b506_1a0850e91a2_-228b",
  "releve": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiLineString",
      "coordinates": [
        [
          [
            -1.65358426147805,
            48.08755644248609
          ],
          [
            -1.653447756627764,
            48.087553996297466
          ],
          [
            -1.653302639429835,
            48.087551529824296
          ],
          [
            -1.653183919342758,
            48.08754937186925
          ],
          [
            -1.65318189242511,
            48.087549271711865
          ]
        ]
      ]
    },
    "properties": {}
  },
  "isolation": 2,
  "precision": "A",
  "annee_pose": 2015,
  "geo_point_2d": {
    "lat": 48.08755289679618,
    "lon": -1.6533830757381363
  },
  "tube_dimension": 250,
  "id_reseau_chaleur_urbain": 5740
}

Record 3nom: Sud · etat: En service

{
  "nom": "Sud",
  "etat": "En service",
  "pose": "Pleine terre",
  "tube": null,
  "type": "Basse pression",
  "gml_id": "reseau_chaleur_urbain.fid--7048b506_1a0850e91a2_-2288",
  "releve": null,
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiLineString",
      "coordinates": [
        [
          [
            -1.653565646943282,
            48.087549786670166
          ],
          [
            -1.653448338775375,
            48.087548384449754
          ],
          [
            -1.653303229507068,
            48.08754600780813
          ],
          [
            -1.653188713171721,
            48.08754422454571
          ],
          [
            -1.653186954391247,
            48.08754411378457
          ]
        ]
      ]
    },
    "properties": {}
  },
  "isolation": 2,
  "precision": "A",
  "annee_pose": 2015,
  "geo_point_2d": {
    "lat": 48.08754713833131,
    "lon": -1.6533762970211245
  },
  "tube_dimension": 250,
  "id_reseau_chaleur_urbain": 5739
}

Record 4nom: Nord-Est · etat: En service

{
  "nom": "Nord-Est",
  "etat": "En service",
  "pose": "Pleine terre",
  "tube": "Aller",
  "type": "Basse pression",
  "gml_id": "reseau_chaleur_urbain.fid--7048b506_1a0850e91a2_-2281",
  "releve": "Fouille ouverte",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiLineString",
      "coordinates": [
        [
          [
            -1.643088108496406,
            48.10818929510718
          ],
          [
            -1.643086198715776,
            48.10818288027688
          ],
          [
            -1.643082276422409,
            48.10816735046856
          ]
        ]
      ]
    },
    "properties": {}
  },
  "isolation": 3,
  "precision": "A",
  "annee_pose": 2021,
  "geo_point_2d": {
    "lat": 48.108178349050746,
    "lon": -1.6430850969612136
  },
  "tube_dimension": 50,
  "id_reseau_chaleur_urbain": 8772
}

Record 5nom: Nord-Est · etat: En service

{
  "nom": "Nord-Est",
  "etat": "En service",
  "pose": "Pleine terre",
  "tube": "Aller",
  "type": "Basse pression",
  "gml_id": "reseau_chaleur_urbain.fid--7048b506_1a0850e91a2_-227f",
  "releve": "Fouille ouverte",
  "geo_shape": {
    "type": "Feature",
    "geometry": {
      "type": "MultiLineString",
      "coordinates": [
        [
          [
            -1.645027950410449,
            48.109670518230914
          ],
          [
            -1.645031888071538,
            48.10967550093441
          ],
          [
            -1.645052909969357,
            48.10970180410469
          ],
          [
            -1.645076544386617,
            48.109736387312815
          ],
          [
            -1.645100463042121,
            48.109772671969566
          ],
          [
            -1.645110477251458,
            48.109788592425076
          ],
          [
            -1.645115109442755,
            48.109795350549945
          ],
          [
            -1.645158393370201,
            48.1098589952407
          ],
          [
            -1.645176251560668,
            48.10988605416651
          ],
          [
            -1.64518547649007,
            48.10989912125468
          ],
          [
            -1.645209442538759,
            48.10993441247964
          ],
          [
            -1.645243738391132,
            48.109984620149966
          ],
          [
            -1.645259576292784,
            48.11000707144089
          ],
          [
            -1.645300611093403,
            48.11006350341631
          ],
          [
            -1.645314026601487,
            48.11008442770985
          ],
          [
            -1.645317404100063,
            48.110089162081245
          ],
          [
            -1.645316031513677,
            48.110091920438116
          ],
          [
            -1.645305695823644,
            48.110095302765664
          ],
          [
            -1.645296945998254,
            48.11009835210339
          ],
          [
            -1.645294555502288,
            48.110100249207726
          ],
          [
            -1.645293349147632,
            48.11010795874195
          ],
          [
            -1.645294447072969,
            48.11011891258777
          ],
          [
            -1.645294518853639,
            48.11012585058019
          ],
          [
            -1.645293369982509,
            48.11015410990115
          ],
          [
            -1.64529423125139,
            48.11016543363861
          ],
          [
            -1.645294185688643,
            48.11018175088783
          ],
          [
            -1.645293673536461,
            48.11018817106533
          ],
          [
            -1.645293811869168,
            48.11022647536158
          ],
          [
            -1.645295882985233,
            48.1103342017971
          ],
          [
            -1.645296080998149,
            48.11034104466528
          ]
        ]
      ]
    },
    "properties": {}
  },
  "isolation": 3,
  "precision": "A",
  "annee_pose": 2021,
  "geo_point_2d": {
    "lat": 48.10999274126097,
    "lon": -1.6452151745112147
  },
  "tube_dimension": 150,
  "id_reseau_chaleur_urbain": 8806
}

Live sample captured at profiling time — values may have changed upstream.

Verification Status

Using the API

Configuration

Base URL: https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/reseau_chaleur_urbain_rennes

License

Open Data Commons Open Database License 1.0Open

✓ Redistributable
✓ Attribution required

Query examples

curl -s 'https://data.rennesmetropole.fr/api/explore/v2.1/catalog/datasets/reseau_chaleur_urbain_rennes/records?limit=20' -H 'Accept: application/json'

First 20 records of the dataset as JSON.

Uses the Opendatasoft Explore v2.1 syntax — supports select, where, group_by and order_by.

Full API documentation ↗

Rate limits

7 000 req/day

per ipmeasured

observed 19 hours ago

Dataset

Volume & freshness

Records

6.5k

6541

Last upstream update

1 day ago

2026-09-09

License

No license declared upstream.

○ Documentation○ Data dictionary○ Versioning

Source: opendatasoft

Machine-readable & source

JSON

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