๐ฑ
๐
โ๏ธ
Total Annual Usage
252.5M kWh
โ 18% vs 5yr ago
Annual Energy Cost
$33.6M/yr
โ Peak cost +60% vs off-peak
Critical Hotspots
7buildings
โ Top 6% drive 38% of usage
Projected Annual Savings
$7.7M/yr
โ Post full GreenGrid deploy
๐บ๏ธ Campus Insight Map โ Energy Risk Zones
โ ๏ธ Live Insight Feed
RL Research Lab
RH Residence Hall
AB Academic Building
AF Athletic Facility
๐ฑ Carbon to Goal
2025 Baseline โ 2035 Target (โ40%)
Progress today: 18% of the 40% carbon-reduction goal
GreenGrid path to target:
38%
projected total carbon reduction
That reaches 95% of the 40% campus carbon goal.
-23% site energy use reduction from GreenGrid automation
+15% carbon benefit from solar PPA offsets
Investment Logic
GreenGrid should fund the software and controllable-load wins before the heavier infrastructure moves.
That sequencing is the point of the plan. Year 1 captures the fastest operational savings and builds the insight layer. Year 2 uses that operating foundation to add solar and heat reuse for bigger carbon impact. Year 3 adds thermal storage only after the lab load shape is measured, not guessed.
1
Start where GreenGrid can act immediately
Software, HVAC scheduling, and lab ventilation controls produce early savings without waiting for major construction.
2
Use the data layer to scale carbon impact
Once buildings are connected, solar and heat reuse extend the value of the control platform rather than operating as stand-alone projects.
3
Delay storage until the peak signature is known
Thermal storage is intentionally last because it should be sized around measured post-control peaks, not around rough assumptions made before GreenGrid is live.
Program CapEx
Three-year deployed capital across controls, solar-adjacent execution, heat reuse, and storage.
Steady-State Savings
Annual savings once the full GreenGrid rollout is operating together.
Phase 1 Savings
Annual value captured before the larger infrastructure layers even start.
Carbon Path
38%
Projected total carbon reduction with solar included, reaching 95% of the campus target.
๐ง Why This Order Works
Phase 1 is about controllable waste, not hardware theater
Lab VAV, academic HVAC scheduling, and the GreenGrid operating layer attack the biggest controllable loads first and create the measurements needed for every later decision.
Phase 2 extends the control platform into carbon strategy
Solar closes the emissions gap, while lab heat reuse turns a byproduct of the highest-energy spaces into useful campus value elsewhere.
Phase 3 waits for proof before sizing storage
Thermal storage is intentionally last because it should be sized around measured post-control peaks, not around rough assumptions made before GreenGrid is live.
๐ Demand Profile by Building Type (kW aggregate)
๐ฅ
๐
๐๏ธ Priority Queue โ Buildings Requiring Intervention
โก Hourly Electricity Cost Window
โ๏ธ
๐ก๏ธ
Lab Annual Usage
47.9M kWh
โ 19% of total campus
Avg kWh/sqft (Labs)
157kWh/sqft
โ 4.9ร campus avg
Fume Hoods (Total)
299units
โ ~$2,000/yr ea. unoptimized
Potential Lab Savings
$4.1M/yr
โ VAV + scheduling + heat reuse
โฐ Load Scheduling
๐จ Smart Ventilation
โจ๏ธ Heat Reuse Routing
๐ง Thermal Storage
๐
Deferrable Equipment Scheduling
๐งฎ Schedulable Equipment by Lab
๐จ Fume Hood VAV Savings Model
๐ Fume Hood Operating Insights
โ ๏ธ Fume hoods at 100% exhaust when unoccupied = $598/hood/yr wasted
โจ๏ธ Heat Reuse Routing
๐ง Thermal Storage โ Charge/Discharge Cycle
๐ต
๐
๐ Investment Portfolio by Phase
๐ 5-Year Savings Curve
๐บ๏ธ 3-Year Rollout Story