Improving　the　solar　thermal　storage　capacity　of　the　north　wall　of　the　solar　greenhouse　can　effectively　enhance　the　indoor　thermal　environment　during　the　night-time　in　winter.　However,　the　indoor　thermal　environment　is　also　influenced　by　the　interaction　between　the　spatial　parameters　of　the　solar　greenhouse　and　outdoor　meteorological　conditions.　Additionally,　the　heat　storage　and　release　performance　of　the　north　wall　are　dynamically　affected　by　changes　in　the　indoor　thermal　environment.　This　complicates　the　quantitative　assessment　of　the　impact　of　solar　active–passive　heat　storage　methods　applied　to　north　walls　on　the　indoor　thermal　environment.　Therefore,　in　this　study,　we　develop　a　mathematical　model　that　considers　simplified　calculations　of　the　solar　greenhouse＇s　spatial　parameters　and　the　design　method　of　an　active–passive　ventilation　wall　with　latent　heat　storage,　which　was　proposed　in　the　early　stage,　for　evaluating　the　impact　of　the　solar　thermal　storage　and　release　characteristics　of　the　north　wall　on　the　indoor　thermal　environment　of　the　solar　greenhouse.　This　model　is　validated　against　measured　data　from　the　experimental　solar　greenhouse　with　high　accuracy.　Using　this　model,　we　analyze　the　quantitative　reinforcement　effects　of　a　phase　change　composite　wallboard　and　a　solar　collector　system　on　the　solar　energy　utilization　of　the　north　walls　and　its　effects　on　the　indoor　thermal　environment.　Compared　to　ordinary　solar　greenhouses　in　Wuzhong,　the　application　of　a　GH-20　composite　phase　change　thermal　storage　wallboard　to　improve　the　passive　solar　energy　utilization　of　the　north　wall　can　increase　the　solar　energy　contribution　rate　by　90.9%.　Furthermore,　integrating　a　multi-surface　solar　air　collector　with　double-receiver　tubes　on　the　phase　change　composite　wall　can　increase　the　solar　energy　contribution　rate　by　95.4%.　Also,　the　experimental　results　reveal　that　the　solar　active–passive　heat　storage　methods　applied　to　the　north　wall　can　enhance　the　indoor　thermal　environment　during　night-time　and　increase　cucumber　yield　by　more　than　10%　in　winter.　This　study　provides　a　method　reference　for　optimizing　the　active–passive　solar　thermal　utilization　of　the　solar　greenhouse.　©　2024　Elsevier　Ltd