Life　cycle　assessment　(LCA)　is　the　most　widely　used　tool　for　the　environmental　evaluation　of　system　and　its　capabilities　no　need　to　be　proved.　However,　there　are　still　several　limitations　in　its　theory　and　application,　including　the　lack　of　temporal　dimension　and　spatial　dimensionin　its　inventories　and　impact　methods.　These　limitations　mainly　include　ignoring　the　changes　of　products　and　energy　systems　over　time;　the　use　of　static　and　outdated　historical　inventory　data　instead　of　time-based　life　cycle　inventory　(LCI)　data;　and　lacking　thechoose　and　calculation　methods　of　the　dynamic　characteristics　factors　inimpact　assessment.　Dynamic　life　cycle　assessment　(DLCA)　is　an　evaluation　method　of　modeling　ofdynamic　processfor　the　industrial　and　environmental　system　with　temporal　and　spatial　dimensional　change,　which　can　accurately　and　scientifically　improves　the　traditional　life　cycle　assessment　results.　This　paper　summarized　the　present　studies　on　the　DLCA　in　three　parts:　dynamic　modeling　and　analysis　using　time　information　as　an　uncertain　factor;　dynamic　data　extraction　methods　of　production　process　or　pollutant　emissions　based　on　real　time;　impact　assessment　methods　of　dynamic　characteristic　factors　on　the　basis　of　time　differentiation.　At　present,　the　DLCA　method　doesn＇t　have　uniform　framework.　Besides,　there　is　no　scientific　mathematical　model　and　software　for　time-differentiated　LCI　calculation　and　modeling　solution　for　life　cycle　impact　assessment.　So　this　paper　will　provide　an　outlook　of　the　future　development　of　DLCA　in　order　to　support　for　the　research,　application,　development　and　improvement　of　LCA　method.　©　2018,　Editorial　Board　of　China　Environmental　Science.　All　right　reserved.