Pressure　swing　adsorption　(PSA)　is　an　attractive　technology　for　low-concentration　CO2　removal　from　confined　spaces.　In　this　study,　the　dynamic　process　simulation　of　PSA　with　four　adsorbents　(e.g.,　Zeolite　13X,　carbon　molecular　sieve　(CMS),　silica　gel,　and　MOF-508b),　the　sensitivity　analysis,　and　the　minimum　energy　optimization　of　the　PSA　process　were　employed.　The　adsorption　isotherm　Langmuir　models　of　CO2　and　N-2　with　four　absorbents　were　built,　and　the　estimated　values　agreed　well　with　the　experimental　data　of　the　literature.　Considering　the　sensitivity　analysis,　the　minimization　of　energy　consumption　of　PSA　process　was　conducted　to　obtain　the　optimal　adsorption　pressure,　desorption　pressure,　and　purge/feed　ratio.　The　results　indicated　that　Zeolite　13X　is　the　best　candidate　that　meets　the　separation　goals　(CO2　concentration　below　500　ppm)　with　the　lowest　specific　energy　consumption　(108.8　kJ.Nm(-3)　N-2).　The　results　provide　a　novel　strategy　and　guidance　for　low-concentration　CO2　removal.