Airport　terminals　provide　a　safe,　convenient　and　comfortable　environment　for　passengers.　Over　50%　of　energy　in　terminals　was　consumed　by　the　HVAC　system.　The　number　of　passengers　and　their　constant　flow　distribution　in　the　airport　is　an　important　consideration　from　the　operational　perspective　to　influence　the　energy　consumption.　This　paper　proposed　a　spatiotemporal　passenger　distribution　model.　In　this　model,　a　terminal　was　divided　into　13　different　zones　along　the　departure　or　arrival　process,　and　the　passenger　variation　for　each　day　was　described　for　each　zone.　Over　a　year,　12　monthly　average　passenger　flow　values　were　adopted　instead　of　the　peak　hour　passenger　flow　to　represent　the　yearly　passenger　flow　distribution.　The　model　was　validated　by　the　operation　data　of　the　Nanning　Airport　and　compared　the　data　against　the　validated　people　movement　model　of　passengers＇　flow　profile　in　each　zone　and　occupant　densities.　The　model　was　then　input　into　an　energy　simulation　software　to　verify　the　impact　of　the　passenger　flow　on　energy　consumption.　Based　on　the　spatiotemporal　passenger　distribution　model,　the　annual　cooling　consumption　could　be　reduced　by　17.14%　compared　to　results　based　on　the　traditional　passenger　flow　calculation　method　which　has　a　simple　assumption　of　daily　constant　passenger　flow.