Controlling Rising Costs

For most condominium boards in Alberta, the monthly utility bill has become a source of growing concern. Energy costs are now among the most volatile line items to forecast. In a deregulated electricity market subject to weather events, supply constraints, and global fuel dynamics, price certainty has eroded.

In many condominium corporations, utilities now account for 35 to 50 percent of total operating budgets, rivalling or exceeding insurance, maintenance, and administrative costs. ¹ Yet the most consequential cost often remains hidden: accelerated deterioration of mechanical systems operating outside optimal conditions.

When boilers, pumps, and air handlers operate inefficiently, consequences extend beyond wasted energy. These assets experience increased stress, shortened service life, and higher failure rates. Traditional management, largely reactive, addresses symptoms rather than root causes.

This article argues for a necessary shift. By moving beyond basic submetering toward real-time energy monitoring and optimization, condominium boards can stabilize reserve funds, reduce operational risks, and protect property values—often without capital expenditure or resident disruption.

Alberta’s deregulated structure passes wholesale price volatility directly to consumers. In early 2023, residential electricity rates briefly exceeded 33 cents per kilowatt-hour—more than triple long-term averages. ²

Energy efficiency is no longer discretionary—it is a financial hedge. Every kilowatt-hour or cubic meter saved reduces exposure to current rates and future policy-driven cost increases.

Reserve Fund Studies (RFS) are the cornerstone of condominium financial planning. In Alberta, they are required every five years and form the basis for long-term contribution schedules. However, traditional RFS methodologies rely on assumed asset lifespans derived from manufacturer specifications.

A boiler rated for 20 years is assumed to have a 20-year service life. Yet these assumptions rarely account for how equipment is operated.

Here’s what happens: Mechanical assets in poorly monitored buildings often fail years ahead of schedule. One damaging culprit is “short cycling”, excessive starting and stopping caused by control issues. Each time your boiler fires up, it stresses burners, valves, motors, and heat exchangers. Over time, this accumulates until failure occurs.

When assets fail prematurely, boards face emergency replacements and unplanned special assessments that damage owner confidence and depress resale values.³ The Reserve Fund Study predicted 15 years, but the boiler failed at year 11. Who pays? Your owners.

This disconnect represents a fiduciary gap, one that real-time monitoring can close by aligning reserve planning with verified operational reality.

Submetering has become common in newer developments. While it improves fairness by allocating costs to individual units, it remains a passive accounting tool. It answers the question: Who consumed how much? It does not answer the question: Was that energy consumed efficiently?

True optimization focuses on how central systems operate. Most controllable energy use falls into three categories:

HVAC systems are typically the largest energy consumers. AI-driven optimization platforms analyze weather forecasts, internal temperature patterns, and occupancy signals to ensure systems operate only when required. Research consistently shows 10–30% energy savings from advanced HVAC optimization.⁴

Parkades, corridors, lobbies, and amenity spaces are often heated, cooled, and lit on static schedules regardless of actual usage. Your party room stays heated all day, even though it’s only used on Friday nights. Smart controls tied to occupancy routinely reduce energy use by 20–50%. ⁵

Water losses from leaks or failed valves represent both an energy cost and a catastrophic insurance risk. Continuous flow monitoring can detect subtle anomalies long before visible damage occurs—potentially preventing six-figure water damage claims. ⁶

Modern platforms rely on networks of non-intrusive IoT sensors deployed throughout your building—think of them as a building-wide nervous system. The system primarily monitors electrical consumption at a granular level, with gas and water monitoring available based on building needs and GAP Analysis findings. These sensors can monitor down to the individual asset level when required.

The solution is vendor-agnostic and integrates with existing building automation systems and sensors, leveraging the infrastructure you already have.

Unlike traditional utility meters that record total usage once per month, these sensors collect data continuously, generating millions of data points annually. This granularity allows the system to detect inefficiencies that would otherwise remain invisible.

Rather than sending all data to remote servers, “edge computing” means intelligent processing happens right in your building—like having an on-site analyst working 24/7. This provides real-time problem detection, continued operation during internet outages, enhanced cybersecurity, and immediate alerts for safety-critical events. ⁷

The platform combines three critical components:

1. Technology/Hardware – Sensors and edge computing devices that collect and process data locally
2. Real-Time Analytics Software – Sophisticated algorithms that identify inefficiencies as they occur
3. Virtual Energy Management (VEM) – The intelligence layer combining AI/machine learning with human expertise to continuously monitor, optimize, and provide insights

Think of VEM as an energy manager and building superintendent that never sleeps—continuously learning how your building responds to weather, occupancy, and operational changes, then adapting dynamically to anticipate demand rather than react to complaints. Unlike static building automation systems that follow rigid schedules, this integrated approach delivers sustained efficiency gains that manual management cannot match. ⁸

Traditional energy management is retrospective; utility bills arrive weeks after consumption occurs. Live monitoring changes this. Problems are flagged as they happen. A boiler short-cycling at 2 a.m. is addressed before running inefficiently for weeks. This shift from reactive to predictive management is among the most financially consequential aspects of modern energy systems. ⁹

Modern platforms simplify governance by filtering millions of data points into clear insights. Your board receives exception-based alerts, plain-language explanations, estimated financial impact, and recommended corrective actions—enabling informed decisions without technical expertise.

Energy monitoring functions as comprehensive risk mitigation. Water damage remains the largest source of condominium insurance claims in Canada. Continuous monitoring detects abnormal flow patterns before catastrophic damage occurs, reducing claim frequency and severity.¹⁰ Electrical anomaly detection lowers fire risk, while ventilation monitoring supports indoor air quality. Boards deploying continuous monitoring demonstrate due diligence, reducing liability exposure.

Perhaps the most underappreciated benefit is the impact on future Reserve Fund Studies. Instead of relying solely on age-based assumptions, engineers can incorporate verified runtime hours, load profiles, and performance trends into asset forecasts.

This enables condition-based planning rather than age-based guessing, improving contribution accuracy and reducing the likelihood of special assessments. Buildings with continuous monitoring consistently exhibit smoother reserve fund trajectories because problems are caught early and capital planning is based on evidence rather than estimates. ¹¹

Historically, upfront capital costs have been the primary barrier to advanced energy management. Energy-as-a-Service (EaaS) models remove this barrier entirely. Hardware, software, analytics, and ongoing management are provided at no CAPEX and require no construction or intrusion to owners. Your costs are offset by the verified savings, funding the system from energy waste you’re already paying for.

This model transforms energy waste into a predictable cash flow improvement. Incentives are aligned: the service provider only succeeds if your building achieves measurable, verified savings.

For many boards, the most difficult question is not whether energy optimization makes sense, but where to begin. Meaningful action starts with understanding where you actually stand.

Global Energy Benchmarking provides that context. Before any optimization strategy is deployed, your board needs clear answers to three questions:

1. How efficiently is our building performing today?
2. How does that performance compare to similar buildings globally?
3. What financial and environmental upside is realistically achievable?

A comprehensive Energy Gap (GAP) Analysis answers these questions by evaluating your building’s historical utility consumption combined with infrastructure information—number of rooftop units, boilers, equipment size, operational parameters, and geographical location—and comparing this against similar buildings around the globe.

Unlike traditional benchmarking, relying on simple metrics like “energy use per square foot,” the GAP Analysis benchmarks like versus like with a 95 percent confidence interval. It shows precisely how much utility and carbon reduction can be achieved based on the verified performance of comparable buildings in similar climates with similar infrastructure.

When your building’s profile is compared against a global dataset from thousands of monitored buildings across 75+ countries, the analysis reveals your realistic efficiency potential—not theoretical maximums, but achievable savings grounded in real-world performance data.

The analysis quantifies your building’s efficiency potential with precision:

• Utility savings potential – Estimated annual dollar savings achievable through optimization
• Carbon reduction potential – Quantified emissions reductions in tonnes of CO₂-equivalent
• Performance gap – How your building compares to best-in-class similar buildings globally
• Confidence interval – All projections delivered with 95% statistical confidence

Crucially, these findings are based on historical utility consumption and infrastructure comparisons, not assumptions. Your board receives estimated ranges of achievable savings and emissions reduction grounded in empirical performance data from comparable buildings worldwide, with the statistical confidence required for defensible governance decisions.

Because the GAP Analysis is non-intrusive and requires no capital expenditure or cost, it aligns naturally with fiduciary responsibility. It allows your board to evaluate optimization potential before committing funds, altering systems, or entering long-term contracts.

Buildings that fail to benchmark are managing in the dark. Boards that establish a global performance baseline know where inefficiencies exist, what they cost, and what correcting them could deliver.

For condominium corporations, the greatest risk in pursuing energy efficiency is mis-sequencing—investing in expensive technologies before understanding where actual problems lie. An intelligent journey follows a disciplined progression:

Step One: Global Energy Benchmarking and GAP Analysis

The logical starting point. The GAP Analysis evaluates your historical utility consumption against infrastructure data (equipment inventory, sizes, operational parameters, and location) and benchmarks it against similar buildings globally. The result: quantified utility and carbon savings potential with 95 percent statistical confidence—enabling defensible governance decisions without monitoring installation or operational disruption.

Step Two: Monitoring and Optimization

Where the GAP reveals material savings potential, monitoring is installed—primarily focused on electrical consumption, with gas and water monitoring added based on the analysis findings. The vendor-agnostic solution integrates with existing building systems where possible. Once deployed, the combination of hardware, real-time analytics software, and Virtual Energy Management (AI/ML + human expertise) continuously identifies and eliminates waste through control strategy refinement, schedule optimization, setpoint corrections, and early anomaly detection. These interventions reduce waste immediately, improving operating budgets within weeks.

Step Three: Process Optimization

Energy intelligence becomes an asset management tool. Runtime hours and performance trends inform preventive maintenance, extend equipment life, and improve Reserve Fund Study accuracy. The focus shifts from reactive intervention to condition-based stewardship.

Step Four: Technology and Capital Recommendations—Only Where Justified

Only after operational inefficiencies have been addressed does it become appropriate to evaluate capital upgrades. Recommendations are precise, right-sized, and grounded in verified data. This sequencing prevents the most common error: deploying expensive technologies to compensate for avoidable waste.

Step Five: Potential On-Site Generation and Deep Decarbonization

Technologies like geothermal heat pumps and solar photovoltaics deliver optimal value only after waste has been eliminated. By first reducing demand, you avoid oversizing systems, reduce capital costs, and ensure clean energy investments deliver intended returns.

Energy management is no longer discretionary; it is a financial, operational, and governance imperative.

Alberta condominium corporations face volatile electricity pricing, aging infrastructure, and increasing insurance scrutiny. These forces amplify the consequences of inefficiency.

Real-time monitoring and optimization offer a practical response. By converting your building from passive infrastructure into an actively managed asset, your board can stabilize budgets, protect reserve funds, extend equipment life, and reduce risk, often without capital expenditure or disruption.

Yet the journey begins with clarity. Global Energy Benchmarking provides the insight required to act responsibly. By understanding how your building performs relative to global peers, you can quantify efficiency potential before making commitments,

fulfilling your fiduciary duty to manage costs and safeguard property value.

The “digital superintendent”—continuous monitoring powered by artificial intelligence—is no longer theoretical. It is an accessible tool for condominiums navigating a complex energy landscape.

Those who adopt data-driven energy intelligence early will be better positioned to:

• Weather energy price volatility with predictable budgets
• Manage reserve funds based on verified performance rather than assumptions
• Demonstrate proactive due diligence to owners, regulators, and insurers
• Protect and enhance property values

In the years ahead, energy performance will increasingly distinguish well-governed buildings from the rest. The question for condominium boards is no longer whether optimization is coming, but whether they will lead with insight or follow under pressure.

SmartFix Asphalt Solutions is an Edmonton based company specialising in pavement maintenance. This article is based on industry best practices used in SmartFix projects across Alberta. For more information visit: www.smartfixasphalt.ca