Colocation Power Costs: How Electricity Rates Impact TCO
IDACORE
IDACORE Team

Table of Contents
- The Hidden Economics of Data Center Power
- Power Usage Effectiveness (PUE) Reality Check
- Geographic Power Rate Variations
- Idaho's Strategic Power Advantage
- Hydroelectric Dominance
- Real-World Cost Comparison
- Cooling Advantages
- Calculating True TCO Impact
- Demand Charges
- Power Factor Penalties
- Scalability Considerations
- Implementation Strategy: Optimizing Power Costs
- 1. Comprehensive Power Auditing
- 2. Geographic Cost Modeling
- 3. Contract Negotiation Strategies
- 4. Efficiency Optimization
- Case Study: Healthcare SaaS Migration
- Initial Requirements
- Location Analysis
- Results
- Future-Proofing Power Costs
- Renewable Energy Growth
- Regulatory Changes
- Technology Evolution
- Power-Smart Colocation Selection
Quick Navigation
Power costs represent the largest variable expense in data center operations, often accounting for 40-60% of total operating expenses. Yet many CTOs and infrastructure teams underestimate how dramatically electricity rates impact their colocation total cost of ownership (TCO). A difference of just $0.05 per kWh can mean hundreds of thousands in annual savings for enterprise workloads.
The math is straightforward, but the implications are profound. A single rack consuming 10kW costs $876 monthly in electricity alone at $0.10/kWh. Bump that rate to $0.15/kWh – common in major metropolitan markets – and you're looking at $1,314 monthly, or an extra $5,256 per year per rack. Scale that across dozens of racks, and you're talking serious money.
Here's what makes this particularly challenging: power costs vary wildly by geography, energy source, and local utility structure. Understanding these variables isn't just about cutting costs – it's about making strategic infrastructure decisions that impact your bottom line for years to come.
The Hidden Economics of Data Center Power
Most organizations focus on obvious colocation costs like rack rental, bandwidth, and setup fees. But power consumption creates the largest long-term expense, and it's where regional differences create the biggest TCO variations.
Power Usage Effectiveness (PUE) Reality Check
Data centers measure efficiency using Power Usage Effectiveness (PUE), which compares total facility power consumption to IT equipment power consumption. A PUE of 1.0 would be perfect (impossible), while 2.0 means the facility uses twice as much power as the IT equipment requires.
Modern facilities typically achieve PUE ratings between 1.2-1.6, but here's the catch: PUE calculations often exclude important infrastructure like UPS systems, lighting, and security systems. Real-world PUE is usually 10-15% higher than advertised.
Let's break down what this means for a typical 42U rack drawing 8kW:
- IT Equipment: 8kW
- Cooling (at PUE 1.4): 3.2kW additional
- Total Facility Draw: 11.2kW
- Monthly Power Cost at $0.08/kWh: $647
- Monthly Power Cost at $0.12/kWh: $970
That's a $323 monthly difference per rack, or $3,876 annually. Multiply by 20 racks, and you're looking at $77,520 in additional yearly power costs.
Geographic Power Rate Variations
Electricity rates vary dramatically across regions due to energy sources, regulatory environments, and infrastructure age. Here's what we see across major data center markets:
High-Cost Markets ($0.12-0.20/kWh):
- California: $0.15-0.20/kWh (renewable mandates, aging grid)
- New York/New Jersey: $0.12-0.18/kWh (dense population, transmission costs)
- Massachusetts: $0.14-0.19/kWh (limited generation capacity)
Moderate-Cost Markets ($0.08-0.12/kWh):
- Virginia: $0.08-0.11/kWh (nuclear base load, deregulated market)
- Texas: $0.09-0.13/kWh (diverse generation, competitive market)
- North Carolina: $0.09-0.12/kWh (nuclear and natural gas mix)
Low-Cost Markets ($0.05-0.08/kWh):
- Idaho: $0.06-0.08/kWh (abundant hydroelectric power)
- Washington: $0.05-0.09/kWh (hydroelectric dominance)
- Wyoming: $0.06-0.09/kWh (coal and wind generation)
The difference between high and low-cost markets can represent 200-300% variation in power expenses. For enterprise deployments, this translates to six-figure annual differences.
Idaho's Strategic Power Advantage
Idaho presents a compelling case study in how geography and energy policy create sustainable cost advantages for data center operations.
Hydroelectric Dominance
Idaho generates approximately 60% of its electricity from hydroelectric sources, with the remainder coming from natural gas and renewable sources. This creates several advantages:
Cost Stability: Hydroelectric generation has minimal fuel costs and extremely low marginal costs once infrastructure is built. Unlike natural gas or coal plants, hydro facilities don't face commodity price volatility.
Environmental Benefits: Clean hydroelectric power helps organizations meet sustainability goals without premium pricing. Many California and East Coast companies pay significant premiums for renewable energy certificates (RECs) to offset carbon-intensive grid power.
Grid Reliability: Hydroelectric systems provide excellent grid stability and can respond quickly to demand changes, reducing the risk of power quality issues that can damage sensitive IT equipment.
Real-World Cost Comparison
Let's examine a practical scenario: a financial services company evaluating colocation options for a 100kW deployment (roughly 12-15 racks of high-density equipment).
Annual Power Costs by Location:
| Location | Rate ($/kWh) | Annual Cost | Difference from Idaho |
|---|---|---|---|
| Idaho | $0.07 | $61,320 | Baseline |
| Virginia | $0.10 | $87,600 | +$26,280 |
| California | $0.16 | $140,160 | +$78,840 |
| New York | $0.14 | $122,640 | +$61,320 |
Over a five-year period, the California deployment would cost $394,200 more in electricity alone – enough to fund significant additional infrastructure or personnel.
Cooling Advantages
Idaho's climate provides natural cooling advantages that further reduce power consumption. Average temperatures in Boise range from 30°F in winter to 75°F in summer, with low humidity year-round.
This enables:
- Extended Economizer Hours: Outside air can be used for cooling 70-80% of the year
- Reduced Chiller Load: Less mechanical cooling required during moderate weather
- Lower PUE: Facilities can achieve PUE ratings of 1.2-1.3 more easily
A data center in Phoenix might require year-round mechanical cooling, while an Idaho facility can use free outside air cooling for most of the year.
Calculating True TCO Impact
Understanding power costs requires looking beyond simple per-kWh rates. Several factors influence your actual power expenses:
Demand Charges
Many utilities charge both for energy consumption (kWh) and peak demand (kW). Demand charges can represent 30-50% of your total power bill, especially for facilities with variable loads.
Example Demand Charge Structure:
- Energy: $0.08/kWh
- Demand: $15/kW for peak monthly usage
- 100kW facility running at 80% average utilization
- Monthly energy: 100kW × 0.8 × 730 hours = 58,400 kWh = $4,672
- Monthly demand: 100kW × $15 = $1,500
- Total monthly cost: $6,172 ($0.106 effective rate)
Power Factor Penalties
Poor power factor (caused by certain types of IT equipment) can result in utility penalties. Modern servers typically maintain good power factor, but older equipment or certain specialized hardware can create issues.
Scalability Considerations
Power capacity planning affects long-term costs. Overprovisioning wastes money on unused capacity, while underprovisioning limits growth and may require expensive upgrades.
Capacity Planning Best Practices:
- Plan for 70-80% utilization at full deployment
- Account for N+1 redundancy requirements
- Consider seasonal load variations
- Factor in equipment refresh cycles
Implementation Strategy: Optimizing Power Costs
1. Comprehensive Power Auditing
Before selecting a colocation provider, conduct detailed power analysis:
# Example power monitoring for current infrastructure
# Track these metrics over 30-90 days:
- Peak kW demand by time of day
- Average kW consumption
- Power factor measurements
- Cooling load correlation with outside temperature
- UPS efficiency under various loads
Key Metrics to Track:
- Peak Demand: Highest 15-minute average during billing period
- Load Factor: Average demand ÷ Peak demand (higher is better)
- Diversity Factor: How loads vary across different systems
- Growth Trajectory: Historical and projected power requirements
2. Geographic Cost Modeling
Create a comprehensive model comparing total costs across locations:
Total Monthly Cost =
(Energy Rate × kWh) +
(Demand Rate × Peak kW) +
(Rack Rental × Racks) +
(Bandwidth × GB) +
(Remote Hands × Hours) +
(Travel/Management × Trips)
Don't forget to include:
- Staff travel costs for remote locations
- Time zone differences affecting support coverage
- Local talent availability for on-site support
- Network connectivity costs and latency impact
3. Contract Negotiation Strategies
Power costs are often negotiable, especially for larger deployments:
Negotiation Points:
- Blended Rates: Fixed rate combining energy and demand charges
- Commitment Discounts: Lower rates for longer-term contracts
- Growth Incentives: Reduced rates as deployment scales
- Off-Peak Pricing: Lower rates for flexible workloads
- Power Factor Guarantees: Avoid penalties through SLA commitments
4. Efficiency Optimization
Maximize the value of every kWh consumed:
Server-Level Optimization:
- Enable aggressive power management features
- Implement dynamic frequency scaling
- Use power-efficient processors (look for ENERGY STAR ratings)
- Optimize virtualization ratios to reduce idle servers
Infrastructure Optimization:
- Deploy high-efficiency UPS systems (96%+ efficiency)
- Use variable-speed cooling fans
- Implement hot/cold aisle containment
- Consider liquid cooling for high-density deployments
Case Study: Healthcare SaaS Migration
A healthcare SaaS company recently evaluated colocation options for their expanding infrastructure. They were running 50 servers across multiple AWS availability zones, facing $28,000 monthly bills with unpredictable spikes.
Initial Requirements
- Compute: 50 servers, average 4kW per rack (200kW total)
- Compliance: HIPAA-ready infrastructure
- Growth: 25% annual expansion planned
- Uptime: 99.95% SLA requirement
Location Analysis
Option 1: Northern Virginia
- Power Rate: $0.095/kWh
- Annual Power Cost: $166,440
- Rack Rental: $350/month per rack
- Total Annual Infrastructure: $376,440
Option 2: California (Bay Area)
- Power Rate: $0.155/kWh
- Annual Power Cost: $271,560
- Rack Rental: $450/month per rack
- Total Annual Infrastructure: $499,560
Option 3: Idaho (Boise)
- Power Rate: $0.07/kWh
- Annual Power Cost: $122,640
- Rack Rental: $275/month per rack
- Total Annual Infrastructure: $289,140
Results
The Idaho deployment saved $87,300 annually compared to Virginia and $210,420 compared to California. Over their five-year planning horizon, this represented over $1 million in savings – money they reinvested in product development and additional redundancy.
The company also found that Idaho's renewable energy profile helped them meet corporate sustainability goals without purchasing expensive carbon offsets.
Future-Proofing Power Costs
Energy markets continue evolving, and smart infrastructure decisions account for future trends:
Renewable Energy Growth
- Solar and wind costs continue declining
- Battery storage enabling better grid integration
- Corporate renewable energy purchasing programs expanding
Regulatory Changes
- Carbon pricing spreading to more jurisdictions
- Renewable portfolio standards increasing
- Energy efficiency mandates tightening
Technology Evolution
- ARM processors offering better performance-per-watt
- Liquid cooling enabling higher density deployments
- Edge computing reducing long-haul data transmission
Organizations making infrastructure decisions today should consider how these trends might affect their 5-10 year TCO.
Power-Smart Colocation Selection
When evaluating colocation providers, power economics should drive your decision-making process. The difference between high and low-cost power markets can represent 30-40% of your total infrastructure spend – savings that compound year over year.
Idaho's combination of low electricity rates, renewable energy sources, and natural cooling advantages creates compelling economics for data-intensive workloads. Companies choosing Idaho-based infrastructure typically see immediate cost reductions and long-term sustainability benefits.
But the real advantage isn't just about lower rates – it's about predictable costs in an industry known for surprise bills and complex pricing. Calculate your potential power savings and see how geography can transform your infrastructure economics.
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IDACORE
IDACORE Team
Expert insights from the IDACORE team on data center operations and cloud infrastructure.
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