This study examined the use of zoned ventilation systems using a coupled CONTAM/EnergyPlus model for new California dwellings. Several smart control strategies were developed with a target of halving ventilation-related energy use, largely through reducing dwelling ventilation rates based on zone occupancy. The controls were evaluated based on the annual energy consumption relative to continuously operating non-zoned, code-compliant mechanical ventilation systems. The systems were also evaluated from an indoor air quality perspective using the equivalency approach, where the annual personal concentration of a contaminant for a control strategy is compared to the personal concentration that would have occurred using a continuously operating, non-zoned system. Individual occupant personal concentrations were calculated for the following contaminants of concern: moisture, CO₂, particles and a generic contaminant. Zonal controls that saved energy by reducing outside airflow achieved typical reductions in ventilation-related energy of 10 to 30%, compared to the 7% savings from the unzoned control. However, this was at the expense of increased personal concentrations for some contaminants in most cases. In addition, care is required in the design and evaluation of zonal controls, because control strategies may reduce exposure to some contaminants while increasing exposure to others.

This data file represents summary results for 2,967 annual co-simulations of EnergyPlus and CONTAM at one-minute time-steps, including data outputs addressing zone and whole-dwelling ventilation airflows (fan flows, infiltration, exfiltration), zone and personal contaminant concentrations (PM_2.5, CO₂, Generic and water vapor), and energy use. Each simulation represents a unique combination of California climate zone (CEC CZ 1, 3, 10 and 16), building prototype (apartment, 1-story and 2-story), envelope air leakage (0.6, 2 and 3 ACH₅₀), ventilation fan type/configuration (multi- and single-point configurations of exhaust, supply and balanced fans), and ventilation control type (10 smart control types and 2 baseline types). Detailed descriptions of the simulation effort can be found in the project final report. Annual, one-minute time-series outputs were recorded from EnergyPlus, and each time-series file was post-processed to produce a one-line summary of the results. All data pre- and post-processing is characterized in detail at the project bitbucket repository available here.  

Three files are included in this dataset are:

1. "SVACH_zonalSims_allCases.csv" is the data file containing annual summary output values for each of 2,967 simulations. Each simulation is represented by a single row, including the case data and all corresponding reference data (see column descriptions in "dataFileColumnDescriptions.xlsx" and in "README.txt"). 
2. "dataFileColumnDescriptions.xlsx" contains a field representing each column in the data file (n=2,901), along with a variable type (input/output) and a human-readable description of the variable.
3. "README.txt" describes additional details about column names, including alias values in the column names spreadsheet.