Airport　terminals　have　much　higher　average　energy　consumptions　than　normal　public　buildings.　This　is　caused　by　their　complicated　space　features　and　operation　characteristics.　In　China,　large　modern　airports　were　built　from　around　2004,　which　means　our　understanding　to　the　real　energy　performance　of　these　buildings　lag　behind　the　design　practice　and　with　feedback　from　operation　experience,　both　design　or　operation　of　modern　airports　shall　be　improved　in　terms　of　energy　efficiency.　Nanning　Airport　provided　an　excellent　example　for　that　purpose,　with　comprehensive　operation　data　collected　during　2016-2019.　The　data　were　firstly　presented　in　this　paper,　followed　by　clustering　and　correlation　analysis　to　establish　the　correlation　among　potential　factors.　From　the　analysis,　the　major　factors　influencing　energy　consumption　were　identified　as　passenger　flow,　meteorological　parameters　and　supply　fan　frequency.　Regression　analysis　was　performed　based　on　monthly　data　and　equations　were　provided　for　the　calculation　of　the　terminal　total　energy　consumption　and　its　three　sub　components　according　to　the　input　parameters　of　passenger　flow　data　and　meteorological　data.　These　equations　provide　guidance　on　energy　supply　for　the　operation　of　this　airport　and　more　importantly　can　be　used　as　valuable　reference　when　designing　airports　in　similar　conditions.