Clean　coal　technology　is　a　green　technology　and　it　can　improve　the　efficiency　of　thermal　coal　usage　and　helps　to　speed　up　the　green　development　of　the　power　generation　industry.　To　better　understand　the　actual　effect　of　clean　coal　generating　technology　on　CO2　emission　reduction,　we　take　the　ultra-supercritical　power　generation　technology　as　an　example　to　illustrate　the　positive　impact　on　the　environment.　Since　support　vector　machine　has　widely　been　used　in　the　field　of　time　series　prediction　due　to　its　advantages　compared　with　other　prediction　models,　in　this　paper　we　will　use　support　vector　machine　to　build　a　prediction　model　and　estimate　the　electricity　demand　from　2020　to　2040　in　China.　Then,　based　on　the　future　electricity　demand　with　ultra-supercritical　power　generation　technology,　we　calculate　the　amount　of　carbon　emission　reduction　which　uses　the　carbon　emission　calculation　method　of　UNFCCC.　Our　results　show　that:　1.　The　coal-fired　electricity　demand　will　reach　5070.1　billion　kWh　in　2020.　2.　The　amount　of　carbon　emissions　reduction　due　to　the　application　of　ultra-supercritical　power　generation　technology　in　coal-fired　electricity　will　be　0.233　billion　tons.　3.　Carbon　emissions　will　only　reduce　by　2.1%-3.0%,　which　means　that　traditional　clean　coal　generation　technology　can　only　decrease　CO2　emissions　to　a　certain　extent,　and　the　achievement　of　larger　reductions　may　have　to　rely　on　carbon　capture　and　storage　and　renewable　energy.　(C)　2019　Elsevier　B.V.　All　rights　reserved.