This　work　concerns　the　simulating　of　corrosion　behavior　of　316L　stainless　steel　in　Solar　salt　(binary　salt　of　NaNO3-KNO3),　for　which　little　work　has　been　reported　in　the　literatures.　A　so-called　2D　cellular　automata　model　is　adopted　for　modelling,　and　the　aims　are　to　gain　a　deeper　understanding　of　corrosion　mechanism　of　Solar　saltsteel　alloy　system　through　simulation　approach.　A　set　of　experiment　is　performed　to　verify　the　simulating　model.　The　simulated　results　aligned　well　with　the　1000-h　corrosion　experiment　data,　showing　a　consistent　decreasing　trend　in　corrosion　rate　between　the　experiments　and　simulations,　with　an　error　margin　of　around　12　%,　confirming　the　reliability　of　the　model.　In　addition,　extensive　simulation　studies　were　carried　out　on　the　depth　and　diameter　of　individual　corrosion　pits,　as　well　as　the　corrosion　rate,　under　different　operating　parameters　such　as　alloy　content,　temperature,　and　Cl-impurity　concentration.　The　results　confirm　that　using　such　a　predictive　model　facilitates　the　study　of　the　long-term　corrosion　behavior　of　stainless　steel　in　solar　salt　and　provides　an　important　reference　for　material　development　and　improvement　of　corrosion　resistance.