Demand Controlled Ventilation for High-Density Spaces
Demand Controlled Ventilation (DCV)
Demand-controlled ventilation dynamically adjusts outdoor air intake based on real-time occupancy rather than maintaining constant ventilation rates for design occupancy. DCV systems utilize CO₂ sensors as proxy indicators for occupant density, modulating ventilation to meet actual demand while minimizing energy consumption during periods of lower occupancy.
Fundamental Operating Principle
DCV systems operate on the principle that CO₂ concentration in indoor air correlates directly with occupant density. As occupants exhale CO₂ at approximately 0.3 L/min per person, indoor CO₂ levels rise above ambient outdoor concentrations (typically 400-450 ppm). By measuring CO₂ concentration and comparing it to setpoint thresholds, the building automation system adjusts outdoor air dampers to maintain acceptable indoor air quality while reducing unnecessary ventilation during partial occupancy periods.
The relationship between occupancy, CO₂ generation, and required ventilation rate follows:
$$\dot{m}{CO_2} = N \cdot G{person}$$
Where:
- $\dot{m}_{CO_2}$ = CO₂ generation rate (L/min)
- $N$ = number of occupants
- $G_{person}$ = CO₂ generation per person (≈0.3 L/min for sedentary adults)
The steady-state CO₂ concentration is:
$$C_{indoor} = C_{outdoor} + \frac{N \cdot G_{person}}{\dot{V}_{OA}}$$
Where:
- $C_{indoor}$ = indoor CO₂ concentration (ppm)
- $C_{outdoor}$ = outdoor CO₂ concentration (ppm)
- $\dot{V}_{OA}$ = outdoor air ventilation rate (CFM)
Energy Savings Potential
DCV systems reduce ventilation energy through decreased outdoor air heating, cooling, and fan power. The annual energy savings can be estimated as:
$$E_{savings} = \sum_{i=1}^{8760} \left[\dot{V}{design} - \dot{V}{DCV}(i)\right] \cdot \rho \cdot c_p \cdot \left(T_{outdoor}(i) - T_{setpoint}\right) \cdot \frac{1}{\eta_{HVAC}}$$
Where:
- $\dot{V}_{design}$ = design outdoor air flow rate (CFM)
- $\dot{V}_{DCV}(i)$ = DCV-modulated flow rate at hour $i$ (CFM)
- $\rho$ = air density (0.075 lbm/ft³)
- $c_p$ = specific heat of air (0.24 BTU/lbm·°F)
- $T_{outdoor}(i)$ = outdoor temperature at hour $i$ (°F)
- $T_{setpoint}$ = indoor temperature setpoint (°F)
- $\eta_{HVAC}$ = HVAC system efficiency
Typical energy savings range from 20-60% of ventilation-related energy consumption depending on:
- Occupancy variability
- Climate zone
- Space type
- Operating schedule
graph TD
A[CO₂ Sensors in Occupied Zones] --> B[Building Automation System]
B --> C{CO₂ Level vs Setpoint}
C -->|Below Setpoint| D[Reduce OA Damper Position]
C -->|At Setpoint| E[Maintain OA Damper Position]
C -->|Above Setpoint| F[Increase OA Damper Position]
D --> G[Lower Ventilation Rate]
E --> H[Current Ventilation Rate]
F --> I[Higher Ventilation Rate]
G --> J[Reduced Heating/Cooling Load]
H --> K[Baseline Energy Use]
I --> L[Increased Energy Use]
J --> M[Energy Savings]
K --> M
L --> M
M --> N[Fan Energy Reduction]
M --> O[Thermal Energy Reduction]
Code Requirements and Applicability
ASHRAE 62.1 Requirements
ASHRAE 62.1 permits DCV in spaces meeting specific criteria:
Allowed Applications:
- Spaces with variable occupancy
- Design occupancy density ≥25 people per 1000 ft²
- CO₂ setpoint typically 1000-1200 ppm above outdoor ambient
Prohibited Applications:
- Spaces with significant non-occupant pollutant sources
- Areas requiring constant ventilation (laboratories, medical facilities)
- Spaces where occupancy sensors cannot accurately represent zone conditions
ASHRAE 90.1 Energy Standard
ASHRAE 90.1 requires DCV for:
- Systems serving high-occupancy spaces (≥40 people per 1000 ft²)
- Air handler capacity >3000 CFM
- Minimum outdoor air >1200 CFM
Exceptions:
- Systems with economizer capability meeting 100% outdoor air requirements
- Spaces with minimum outdoor air <300 CFM per zone
- Multiple-zone systems without DDC controls
DCV System Architecture
flowchart LR
subgraph Sensing Layer
A1[Zone CO₂ Sensor 1]
A2[Zone CO₂ Sensor 2]
A3[Zone CO₂ Sensor n]
B[Outdoor Air CO₂ Sensor]
end
subgraph Control Layer
C[DDC Controller]
D[Control Algorithm]
E[Damper Position Calculator]
end
subgraph Actuation Layer
F[OA Damper Actuator]
G[Return Air Damper]
H[Exhaust Air Damper]
end
A1 --> C
A2 --> C
A3 --> C
B --> C
C --> D
D --> E
E --> F
E --> G
E --> H
F --> I[Mixed Air Plenum]
G --> I
H --> J[Exhaust Airstream]
Implementation Strategies
Sensor Placement and Calibration
Critical factors for accurate DCV operation:
Sensor Location
- Mount at breathing zone height (3-6 feet above floor)
- Avoid locations near doors, windows, or supply diffusers
- Multiple sensors for large or irregularly shaped zones
- Return air duct sensors acceptable for uniform spaces
Calibration Protocol
- Factory calibration accuracy: ±50 ppm
- Field calibration interval: 12-24 months
- Verification against reference-grade instrument
- Zero-point and span adjustment procedures
Sensor Technology Selection
| Technology | Accuracy | Drift | Lifespan | Cost | Application |
|---|---|---|---|---|---|
| NDIR (Non-Dispersive Infrared) | ±30-50 ppm | Low | 10-15 years | $$$ | Commercial standard |
| Electrochemical | ±100 ppm | Moderate | 2-5 years | $$ | Residential, light commercial |
| Metal Oxide | ±200 ppm | High | 3-5 years | $ | Not recommended for DCV |
Control Strategies
Proportional Control: $$\dot{V}{OA} = \dot{V}{min} + K_p \cdot (C_{measured} - C_{setpoint})$$
Where:
- $\dot{V}_{min}$ = minimum ventilation rate per code (CFM)
- $K_p$ = proportional gain constant
- $C_{measured}$ = measured CO₂ concentration (ppm)
- $C_{setpoint}$ = target CO₂ concentration (ppm)
Multiple-Zone Systems: For VAV systems serving multiple zones, the critical zone approach applies:
$$\dot{V}{OA,system} = \max\left(\dot{V}{min,system}, \max_{z=1}^{n}\left[\dot{V}_{OA,z}\right]\right)$$
The system outdoor air intake equals the maximum zone requirement among all zones.
Performance Verification
Commissioning Requirements:
- Verify sensor accuracy against reference instrument
- Confirm minimum outdoor air rates under all conditions
- Test control response across full occupancy range
- Document baseline CO₂ levels at design occupancy
- Verify damper response time and linearity
Ongoing Monitoring:
- Trend CO₂ levels and outdoor air damper position
- Compare energy consumption to baseline
- Monitor sensor drift through periodic calibration
- Alert on sensor failure or out-of-range readings
DCV Performance Comparison
| System Type | Ventilation Control | Energy Savings | Capital Cost | Complexity | Best Application |
|---|---|---|---|---|---|
| Constant Volume | Fixed OA damper | Baseline (0%) | $ | Low | Constant occupancy spaces |
| Scheduled DCV | Time-based modulation | 10-25% | $$ | Low | Predictable schedules |
| CO₂-Based DCV | Real-time sensor control | 20-60% | $$$ | Medium | Variable occupancy |
| Occupancy Sensor DCV | People counting | 25-65% | $$$$ | High | Critical applications |
| Hybrid DCV | CO₂ + schedule + occupancy | 30-70% | $$$$$ | High | High-value applications |
Economic Analysis
The simple payback period for DCV implementation:
$$PBP = \frac{C_{capital}}{E_{savings} \cdot C_{energy} + M_{avoided}}$$
Where:
- $C_{capital}$ = installed cost of DCV system
- $E_{savings}$ = annual energy savings (kWh or therms)
- $C_{energy}$ = blended energy cost ($/kWh or $/therm)
- $M_{avoided}$ = avoided HVAC equipment capacity costs
Typical payback periods:
- High-occupancy density spaces: 2-4 years
- Moderate occupancy variability: 4-7 years
- Low occupancy variability: 7-12 years (marginal case)
Design Considerations
System Integration:
- Compatibility with existing building automation system protocols (BACnet, Modbus, LonWorks)
- Coordination with economizer controls to prevent conflicts
- Integration with demand response programs
- Interface with energy management systems for trending and optimization
Potential Issues:
- Sensor fouling in dusty or contaminated environments
- Time lag between occupancy changes and CO₂ response (10-30 minutes)
- Non-representative sensor locations in stratified or compartmentalized spaces
- Outdoor CO₂ concentration variations affecting control accuracy
DCV systems provide significant energy savings in spaces with variable occupancy while maintaining code-compliant ventilation rates. Proper sensor selection, placement, calibration, and control strategy implementation are critical for achieving predicted performance and energy savings.
Sections
CO2 Sensors for Demand-Controlled Ventilation
Technical guide to CO2 sensor technology, calibration, placement strategies, and control integration for ASHRAE 62.1-compliant demand-controlled ventilation systems.
Occupancy Sensors for Demand-Controlled Ventilation
Technical analysis of occupancy sensor technologies for HVAC demand-controlled ventilation systems, including PIR, ultrasonic, video analytics, and integration strategies.
Outdoor Air Reset for Demand-Controlled Ventilation
Engineering analysis of OA reset strategies for DCV systems, covering reset schedules, economizer integration, control algorithms, and energy optimization.