Event Schedules and HVAC Load Diversity
Event-Based HVAC Scheduling
Event schedules in high-occupancy venues create intermittent thermal loads that require strategic pre-conditioning, peak capacity management, and post-event recovery protocols. The temporal nature of event occupancy enables load diversity strategies that reduce installed capacity and operational costs while maintaining occupant comfort.
Pre-Conditioning Load Calculations
Pre-event conditioning establishes baseline thermal conditions before occupant arrival. The required pre-conditioning time depends on building thermal mass, outdoor conditions, and target setpoints.
Pre-Conditioning Time Equation
The time required to condition a space from initial temperature $T_i$ to target temperature $T_t$ is:
$$t_{precool} = \frac{C_p \cdot m_{air} \cdot (T_i - T_t)}{Q_{sys} - Q_{infiltration}}$$
where $C_p$ is specific heat capacity (1.006 kJ/kg·K), $m_{air}$ is air mass in the conditioned space, $Q_{sys}$ is system cooling capacity, and $Q_{infiltration}$ accounts for envelope heat gains during pre-conditioning.
Thermal Mass Considerations
For spaces with significant thermal mass (concrete, masonry), the effective conditioning time increases:
$$t_{effective} = t_{precool} \cdot \left(1 + \frac{C_{mass} \cdot m_{mass}}{C_{air} \cdot m_{air}}\right)$$
where $C_{mass}$ and $m_{mass}$ represent the thermal mass properties.
Event Load Profiles
Event occupancy generates predictable thermal load patterns that enable optimized HVAC scheduling.
gantt
title Event Day HVAC Load Profile
dateFormat HH:mm
axisFormat %H:%M
section Pre-Event
System Startup :a1, 06:00, 1h
Pre-Conditioning :a2, 07:00, 2h
Final Adjustment :a3, 09:00, 1h
section Event Period
Door Opening :b1, 10:00, 30m
Peak Occupancy :crit, b2, 10:30, 3h
Exit Period :b3, 13:30, 1h
section Post-Event
Purge Ventilation :c1, 14:30, 1h
Temperature Recovery :c2, 15:30, 2h
System Shutdown :c3, 17:30, 30m
Occupancy-Based Load Diversity
The diversity factor for multiple events accounts for non-coincident peak loads across different venues or time periods.
Diversity Factor Calculation
$$DF_{event} = \frac{\sum_{i=1}^{n} Q_{peak,i}}{\max(Q_{simultaneous})}$$
where $Q_{peak,i}$ represents individual event peak loads and $Q_{simultaneous}$ is the maximum coincident load.
| Number of Event Spaces | Typical Diversity Factor | Design Load Multiplier |
|---|---|---|
| 1 venue | 1.00 | 1.00 |
| 2 venues | 0.85-0.90 | 0.90 |
| 3-4 venues | 0.75-0.85 | 0.80 |
| 5+ venues | 0.65-0.80 | 0.75 |
Event Scheduling Patterns
Single Event Daily Schedule
graph LR
A[Night Setback<br/>75°F] --> B[Pre-Conditioning<br/>6:00-9:00 AM]
B --> C[Event Ready<br/>68°F by 10:00]
C --> D[Peak Load<br/>10:30-13:30]
D --> E[Post-Event Purge<br/>14:30-15:30]
E --> F[Recovery Mode<br/>15:30-17:30]
F --> G[Night Setback<br/>75°F]
Multi-Event Coordination
For facilities hosting overlapping events, HVAC scheduling coordinates system capacity across zones.
$$Q_{total,t} = \sum_{i=1}^{n} \left[Q_{sensible,i}(t) + Q_{latent,i}(t)\right] \cdot OF_i(t)$$
where $OF_i(t)$ is the occupancy fraction (0 to 1) for event $i$ at time $t$.
Peak Load Management Strategies
Demand-Controlled Ventilation
Minimum outdoor air during pre-conditioning reduces load:
$$Q_{precool,reduced} = Q_{sensible,envelope} + (OA_{min} \cdot \rho \cdot C_p \cdot \Delta T)$$
During occupancy, ventilation increases to ASHRAE 62.1 requirements:
$$OA_{event} = \max\left(\frac{R_p \cdot P_z + R_a \cdot A_z}{E_z}, V_{min}\right)$$
where $R_p$ = 5 cfm/person for assembly spaces (ASHRAE 62.1 Table 6.2.2.1).
Post-Event Recovery
Post-event periods require ventilation purging and temperature recovery.
Purge Ventilation Duration
$$t_{purge} = \frac{V_{space} \cdot N_{ACH,required}}{Q_{OA,max}}$$
ASHRAE 62.1 recommends 3-5 air changes for post-occupancy purging in assembly spaces.
Temperature Recovery Optimization
Post-event setpoint recovery balances energy costs against next-event readiness:
$$E_{recovery} = \int_{t_{end}}^{t_{next}} Q_{sys}(t) \cdot dt$$
Optimal recovery timing minimizes this integral while meeting next-event pre-conditioning requirements.
Seasonal Event Variations
Event scheduling patterns vary seasonally, affecting HVAC design and operation.
| Season | Pre-Conditioning Time | Peak Load Factor | Post-Event Duration |
|---|---|---|---|
| Summer (>85°F OAT) | 3-4 hours | 1.15-1.25 | 2-3 hours |
| Shoulder (65-85°F) | 2-3 hours | 1.00 | 1.5-2 hours |
| Winter (<65°F OAT) | 2-2.5 hours | 0.85-0.95 | 1-1.5 hours |
Control Sequence Integration
Building automation systems integrate event schedules with HVAC control sequences.
stateDiagram-v2
[*] --> Unoccupied
Unoccupied --> PreConditioning: Event-3hrs
PreConditioning --> EventReady: Target Temp Reached
EventReady --> PeakOccupancy: Door Opening
PeakOccupancy --> ExitMode: Event End
ExitMode --> PurgeVentilation: 90% Vacated
PurgeVentilation --> Recovery: Air Quality OK
Recovery --> Unoccupied: Next Event>4hrs
Recovery --> PreConditioning: Next Event<4hrs
Design Considerations
- System Capacity: Size equipment for peak event loads with appropriate diversity factors, not continuous operation
- Thermal Storage: Leverage building mass for load shifting during pre-conditioning periods
- Zoning: Separate event spaces allow independent scheduling and reduced simultaneous peak loads
- Energy Recovery: ERV/HRV systems reduce pre-conditioning loads during transition periods
- Monitoring: Real-time occupancy sensors override scheduled events when actual attendance deviates from predictions
ASHRAE Standards Application
- ASHRAE 62.1: Ventilation rates for assembly occupancy (5 cfm/person minimum)
- ASHRAE 55: Thermal comfort during event occupancy (operative temperature 68-76°F)
- ASHRAE 90.1: Automatic setback controls and demand-controlled ventilation requirements
- ASHRAE Handbook - HVAC Applications: Chapter 5 (Places of Assembly) provides specific guidance for event venue HVAC design
Operational Best Practices
Effective event HVAC scheduling requires coordination between facility operations, HVAC controls, and event management. Pre-event checklists verify system readiness, while post-event reviews optimize future scheduling parameters based on actual performance data.