Active-passive　phase　change　heat　storage　technologies　have　been　obtained　extensive　application　to　decrease　greenhouse＇s　demands　for　fossil　energy　during　off-seasons.　To　develop　the　utilization　ratio　of　solar　energy　in　solar　greenhouses　during　winter,　the　active-passive　ventilation　wall　with　latent　heat　storage　(APVW-L)　was　introduced　and　could　be　integrated　into　greenhouse＇s　back-wall.　However,　system　design　and　operation　parameters　are　subjected　to　numerous　factors,　including　its　structure,　material　performance　and　outdoor　meteorological　parameters.　To　achieve　optimization　in　the　energy　performance　of　this　system,　this　study　used　finite　element　analysis　and　lumped　parameter　analysis　to　establish　coupled　energy　balance　equations　of　the　APVW-L　and　the　air　inside　vertical　air　passages,　and　the　cubic　spline　interpolation　was　used　to　calculate　the　continuous　relationship　between　phase　change　material＇s　equivalent　specific　heat　capacity　and　temperature.　This　modeling　method　of　the　APVW-L　was　accurately　validated　against　the　measured　data,　and　then　used　in　the　optimization　design　and　operation　strategy　of　the　APVW-L　in　the　greenhouses.　This　study　demonstrated　that　the　optimized　APVW-L　could　store　5.36　MJ/(m(2).day)　of　solar　energy　in　Beijing.　Compared　to　the　identical　conventional　greenhouses,　after　midnight,　the　experimental　greenhouse　having　APVW-L　increased　the　back-wall＇s　interior　surface　temperature　by　2.2-3.4　degrees　C,　and　the　average　indoor　air　temperature　by　0.8-1.4　degrees　C.　This　study　provides　methods　for　the　APVW-L＇s　optimization　design　and　its　operation　strategy,　even　for　the　rationalization　of　the　near-zero　energy　consumption　of　the　solar　greenhouse　during　winter.　(C)　2021　Elsevier　B.V.　All　rights　reserved.