This　project　aims　to　study　the　optimal　control　model　of　the　ice-storage　system　which　is　theoretically　close　to　the　optimal　control　and　also　applicable　to　actual　engineering.　Using　EnergyPlus,　the　energy　consumption　simulation　software,　and　the　simple　solution　method　of　optimal　control,　researchers　can　analyze　and　compare　the　annual　operation　costs　of　the　ice-storage　air-conditioning　system　of　a　project　in　Beijing　under　different　control　strategies.　Researchers　obtained　the　power　rates　of　the　air-conditioning　system　in　the　office　building　under　the　conditions　of　chiller-priority　and　optimal　contro1　throughout　the　cooling　season.　Through　analysis　and　comparison,　they　find　that　after　the　implementation　of　optimal　control,　the　annually　saved　power　bills　mainly　result　from　non-design　conditions,　especially　in　the　transitional　seasons.　The　simulation　and　optimization　of　the　ice-storage　system　control　which　is　based　on　load　simulation　results,　can　guide　the　energy　saving　and　significantly　reduce　operation　costs.　This　research　project　provides　evidence　for　the　control　strategy　optimization　of　the　air-conditioning　system　in　public　buildings.