COVID-19　is　a　global　threat.　Non-pharmaceutical　interventions　were　commonly　adopted　for　COVID-19　prevention　and　control.　However,　during　stable　periods　of　the　pandemic,　energy　would　be　inevitably　wasted　if　all　interventions　were　implemented.　The　study　aims　to　reduce　the　building　energy　consumption　when　meet　the　demands　of　epidemic　prevention　and　control　under　the　stable　period　of　COVID-19.　Based　on　the　improved　WellsRiley　model　considering　dynamic　quanta　generation　and　pulmonary　ventilation　rate,　we　established　the　infection　risk　-　equivalent　fresh　air　volume　-　energy　consumption　model　to　analyze　the　infection　risk　and　building　energy　consumption　during　different　seasons　and　optimized　the　urban　building　energy　consumption　according　to　the　spatio-temporal　population　distribution.　Shopping　centers　and　restaurants　contributed　the　most　in　urban　energy　consumption,　and　if　they　are　closed　during　the　pandemic,　the　total　infection　risk　would　be　reduced　by　25%-40%　and　15%-25%　respectively　and　the　urban　energy　consumption　would　be　reduced　by　30%-40%　and　13%-20%　respectively.　If　people　wore　masks　in　all　public　indoor　environments　(exclude　restaurants　and　KTV),　the　infection　risk　could　be　reduced　by　60%-70%　and　the　energy　consumption　could　be　reduced　by　20%-60%.　Gyms　pose　the　highest　risk　for　COVID-19　transmission.　If　the　energy　consumption　kept　the　same　with　the　current　value,　after　the　optimization,　infection　risk　in　winter,　summer　and　the　transition　season　could　be　reduced　by　65%,　53%　and　60%,　respectively.　After　the　optimization,　under　the　condition　of　Rt　＜　1,　the　energy　consumption　in　winter,　summer,　and　the　transition　season　could　be　reduced　by　72%,　64%,　and　68%　respectively.