<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="fr">
  <Esri>
    <CreaDate>20260902</CreaDate>
    <CreaTime>10513400</CreaTime>
    <ArcGISFormat>1.0</ArcGISFormat>
    <SyncOnce>TRUE</SyncOnce>
  </Esri>
  <dataIdInfo>
    <idAbs>L'indice de dépense de chaleur (IDC) est un indicateur de la consommation d'énergie d'un bâtiment pour couvrir ses besoins de chaleur (chauffage et eau chaude sanitaire 'ECS').&lt;br /&gt;Exprimé en mégajoules par mètre carré et par an (MJ/m2a), il représente la quantité annuelle d'énergie finale consommée pour la production de chaleur, ramenée à un mètre carré de plancher chauffé (SRE) et corrigée en fonction des données climatiques de l'année considérée.</idAbs>
    <searchKeys>
      <keyword>Cadastre</keyword>
      <keyword>aménagement</keyword>
      <keyword>Constructions et ouvrages</keyword>
      <keyword>Environnement</keyword>
      <keyword>Réseaux de distribution</keyword>
    </searchKeys>
    <idPurp>Indice De Dépense De Chaleur (Idc) Des Bâtiments - Moyenne Sur 2 Ou 3 Ans</idPurp>
    <idCredit>© 2026 SITG</idCredit>
    <resConst>
      <Consts>
        <useLimit>Accès libre &lt;br /&gt;&lt;br /&gt; None</useLimit>
      </Consts>
    </resConst>
    <idCitation>
      <resTitle>Indice De Dépense De Chaleur (Idc) Des Bâtiments - Moyenne Sur 2 Ou 3 Ans</resTitle>
    </idCitation>
  </dataIdInfo>
  <Binary>
    <Thumbnail>
      <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAB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</Data>
    </Thumbnail>
  </Binary>
</metadata>
