The　compressed　carbon　dioxide　(CO2)　energy　storage　(CCES)　system　has　been　attracting　more　and　more　attentions　in　recent　years.　The　CCES　system　leads　the　way　of　green　solutions　to　accommodating　the　intermittency　of　renewable　power　generation　systems　in　a　large-scale　energy　storage　pattern.　Particularly,　the　usage　of　CO2　as　the　working　medium　for　CCES　successfully　offers　a　green　solution　to　massive　carbon　capture　and　storage.　This　paper　aims　to　further　analyze　the　applicability　and　feasibility　of　a　novel　CCES　system　with　the　merit　of　efficiently　and　economically　utilizing　pressure　energy　and　thermal　energy.　Thermodynamic　and　cost　evaluation　on　the　energy　conversion　cycle　were　carried　out.　Genetic　algorithm　was　employed　to　perform　multi-objective　optimization　on　the　novel　energy　conversion　cycle　with　thermal　energy　storage　towards　maximizing　exergy　efficiency　and　economic　profits.　Results　reveal　that　the　net　output　power　monotonously　increases　with　turbine　inlet　temperature,　but　the　unit　product　cost　monotonously　decreases　with　turbine　inlet　temperature.　The　multi-objective　optimization　recommends　a　60.5%　for　the　overall　exergy　efficiency　and　0.23　$/kWh　for　the　unit　product　cost.　Moreover,　scattered　distribution　of　decision　variables　suggests　always　a　higher　outlet　pressure　for　compressor.　©　2019　Elsevier　Ltd