In the theory and modeling part, theprinciples of VAV box optimization areinvestigated. The simulations show thatoptimizing cold and hot deck reset schedules cansignificantly reduce the amount of energyconsumption.During a Continuous Commissioning (CC)process, the optimal cold and hot deck resetschedules were implemented in 12 dual ductvariable air volume systems which serve a324,000 ft2 university building. The improvedcold and hot deck reset schedules combined withother CC measures reduced the chilled waterenergy consumption by 7,571 MMBtu/yr (18%)and 303 MWh/yr (18%) for the fan power. Theestimated heating energy savings are 2,327MMBtu/yr. The estimated annual cost savingsare $75,040/yr. This paper presents the buildingand AHU system information, optimal resetschedule, and measured results.
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