To　prevent　COVID-19　outbreaks,　many　indoor　environments　are　increasing　the　volume　of　fresh　air　and　running　air　conditioning　systems　at　maximum　power.　However,　it　is　essential　to　consider　the　comfort　of　indoor　occupants　and　energy　consumption　simultaneously　when　controlling　the　spread　of　infection.　In　this　study,　we　simulated　the　energy　consumption　of　a　three-storey　office　building　for　postgraduate　students　and　teachers　at　a　university　in　Beijing.　Based　on　an　improved　Wells-Riley　model,　we　established　an　infection　risk-energy　consumption　model　considering　non-pharmaceutical　interventions　and　human　comfort.　The　infection　risk　and　building　energy　efficiency　under　different　room　occupancy　rates　on　weekdays　and　at　weekends,　during　different　seasons　were　then　evaluated.　Energy　consumption,　based　on　the　real　hourly　room　occupancy　rate　during　weekdays　was　43%-55%　lower　than　energy　consumption　when　dynamic　room　occupancy　rate　was　not　considered.　If　all　people　wear　masks　indoors,　the　total　energy　consumption　could　be　reduced　by　32%-45%　and　the　proportion　of　energy　used　for　ventilation　for　epidemic　prevention　and　control　could　be　reduced　by　22%-36%　during　all　seasons.　When　only　graduate　students　wear　masks　in　rooms　with　a　high　occupancy,　total　energy　consumption　can　be　reduced　by　15%-25%.　After　optimization,　compared　with　the　strict　epidemic　prevention　and　control　strategy　(the　effective　reproductive　number　R-t　=　1　in　all　rooms),　energy　consumption　during　weekdays　(weekends)　in　winter,　summer　and　transition　seasons,　can　be　reduced　by　45%　(74%),　43%　(69%),　and　55%　(78%),　respectively.　The　results　of　this　study　provide　a　scientific　basis　for　policies　on　epidemic　prevention　and　control,　carbon　emission　peak　and　neutrality,　and　Healthy　China　2030.