Most SIMIX projects generate return from a mix of five buckets:

1. Energy reduction (kWh and demand savings)
2. Labor reduction (fewer deep cleans, less downtime, faster turnaround)
3. Asset protection (slower degradation, fewer replacements, less corrosion/soil damage)
4. Performance stability (systems stay closer to “like-new” output)
5. Risk reduction (slips/falls from oily floors, indoor air quality issues, compliance cleanup)

Typical ROI timeframes vary widely by site conditions and usage, but many projects target payback within one budget cycle when energy + labor savings are both in play.

To estimate ROI consistently across applications, use this simple model:

Annual Savings = (Energy Savings $) + (Labor Savings $) + (Avoided Cost $)
ROI % = (Annual Savings − Project Cost) ÷ Project Cost × 100
Payback Period = Project Cost ÷ Annual Savings

Inputs you’ll need:

• Utility rate ($/kWh) and demand charges (if applicable)
• Baseline kWh (or runtime) for the targeted system/area
• Labor cost per hour and frequency of cleaning/maintenance cycles
• Downtime cost per hour (optional but powerful)
• Current replacement/repair cycles (coils, membranes, flooring finishes, etc.)

How ROI is created

• Restored airflow and heat transfer can reduce runtime and improve cooling output per kWh.
• Cleaner coils can reduce reactive maintenance and prevent performance drift during peak season.

ROI drivers to measure

• Pre/post: supply air temp, compressor runtime, kW draw, delta-T, static pressure
• Maintenance: coil cleaning frequency, service calls, coil replacements
• Downtime avoided: tenant complaints, lost production time

Best-fit properties

• Facilities with long cooling seasons, dirty environments (dust/grease), or high runtime (24/7)

CTA: Request a coil ROI estimate based on tonnage, runtime, and local utility rates.

How ROI is created

• Improved heat-exchange efficiency reduces fan/pump/compressor work to maintain setpoints.
• Reduced thermal resistance can stabilize cooling performance and reduce peak load stress.

ROI drivers to measure

• kW at cooling plant level (CRAC/CRAH, chillers, pumps, fans)
• PUE trend improvements (site-specific; measure before/after)
• Maintenance cadence and filter/coil service labor

Best-fit properties

• High-density rooms, warm climates, constrained mechanical capacity, peak-demand exposure

CTA: Ask for a measurement plan to validate ROI (baseline period + post-treatment period).

How ROI is created

• Cleaner, brighter membranes can reduce rooftop heat load, lowering cooling demand.
• A protective layer can help keep surfaces .er, reducing the need for repeat restoration

ROI drivers to measure

• Roof temperature reduction (infrared readings)
• HVAC runtime comparison during comparable weather windows
• Roof maintenance: cleaning frequency and cost per square foot
• Avoided premature replacement (if the membrane is being preserved)

Best-fit properties

• Big-box retail, warehouses, schools, medical facilities, any large roof footprint

CTA: Get a roof ROI model using roof area, climate zone, and HVAC profile.

How ROI is created

• Reduced deep-clean frequency and faster daily cleanup time.
• Improved surface protection can reduce staining, embedded grease, and odor persistence.

ROI drivers to measure

• Labor hours per week spent on degreasing (before vs after)
• Cost of chemicals currently used
• Slip-risk incidents and remediation costs (optional)
• Downtime: kitchen closure hours for deep clean

Best-fit properties

• High-volume kitchens, commissaries, food processing, stadium/venue kitchens

CTA: Request a kitchen labor-savings ROI worksheet.

How ROI is created

• Lower cost of ownership vs frequent re-polish/recoat cycles.
• Faster cleaning, less abrasion damage, improved appearance retention.

ROI drivers to measure

• Frequency and cost of burnishing/polishing or recoating
• Daily cleaning labor time and equipment wear
• Finish replacement costs and disruption to operations

Best-fit properties

• High-traffic aisles, forklifts, retail shine-critical floors, distribution centers

CTA: Compare annual floor maintenance costs vs a protected-surface maintenance plan.

How ROI is created

• Less frequent pressure washing and reduced surface degradation.
• Improved appearance and lower labor for restoration cycles.

ROI drivers to measure

• Cost per clean and number of cleans per year
• Staining/oxidation or grime buildup rate
• Equipment rental, lift time, and safety overhead costs

Best-fit properties

• High-visibility sites, dusty/industrial zones, high rainfall or pollution exposure

CTA: Ask for an exterior maintenance ROI estimate by square footage and access method.

To ensure ROI holds up with engineering and finance stakeholders:

1. Baseline period: Track kWh, runtime, labor hours for 2–6 weeks (or longer if seasonal).
2. Implement SIMIX: Document scope, conditions, and application method.
3. Post period: Track the same metrics for a matched period.
4. Normalize: Adjust for weather/occupancy where needed (especially HVAC/roof/data centers).
5. Report: Present savings, payback, and confidence level.

• Energy-only payback: strongest where runtime is high and utility rates/demand charges are significant.
• Labor-only payback: strongest in kitchens, floors, and large-area cleaning operations.
• Blended payback: best overall—energy + labor + avoided maintenance.

What’s the fastest way to estimate SIMIX ROI?

Start with the biggest line item: energy (kWh) for HVAC/data centers or labor hours for kitchens/floors. Add avoided costs only after you validate measurable savings.

 How quickly can ROI be validated?

Labor savings can be validated within weeks. Energy savings often need a baseline/post period and normalization for weather or load.

Do I need special sensors?

Not always. Many sites can validate using existing BAS trends, utility bills, runtime logs, and work-order labor tracking.

What data should I gather before requesting an ROI estimate?

Utility rate, equipment runtime, cleaning frequency, labor rates, square footage/tonnage, and any recent maintenance history.

Get Your ROI Estimate (No Guesswork)

Provide your use case (HVAC, roof, data center, kitchen, floors, exterior), facility size, and utility/labor costs. We’ll return a practical ROI model with recommended measurement points so you can validate results internally.