As　the　heat　exchange　component　of　the　organic　Rankine　cycle　(ORC)　system,　the　evaporator　directly　affects　the　overall　operation　performance　of　the　system.　In　this　paper,　an　analytical　method　for　energy　level　on　the　working　fluid　side　of　evaporator　is　proposed　based　on　the　energy　level　and　enerty　theory.　The　reliability,　validity,　and　correlation　of　the　proposed　analytical　method　are　studied　by　means　of　theoretical　analysis,　experimental　evaluation,　and　Elman　neural　network　(ElmanNN).　The　bilinear　interpolation　algorithm　is　used　to　analyze　the　non-linear　relationship　between　the　system　parameters　and　the　energy　level　on　the　working　fluid　side.　In　addition,　the　correlation　between　the　heat　exchange　efficiency　of　the　evaporator　and　the　operating　performance　of　the　system　is　compared.　Based　on　the　back　propagation　neural　network　(BPNN),　the　high　energy　level　area　on　working　fluid　side　is　accurately　evaluated　and　verified,　the　direction　and　degree　of　the　non-linear　mapping　relationship　between　the　working　fluid　side　energy　level　and　the　system　performance　are　quantitatively　evaluated,　and　the　sensitivity　of　thermodynamic　cycle　parameters　in　the　high　energy　level　area　on　working　fluid　side　is　quantitatively　evaluated.　This　study　provides　a　novel　approach　to　evaluate　the　operation　of　the　evaporator　in　the　ORC　system.　In　addition,　this　study　also　provides　guidance　on　how　to　keep　the　evaporator　operating　continuously　in　the　high　energy　level　area　throughout　the　experiment.　(c)　2022　THE　AUTHORS.　Published　by　Elsevier　BV　on　behalf　of　Faculty　of　Engineering,　Alexandria　University　This　is　an　open　access　article　under　the　CC　BY-NC-ND　license　(http://creativecommons.org/