How do you calculate a downtime risk score for a heat pump?

Multiply the three FMEA factors — process heat impact severity, downtime likelihood, and detection difficulty — then subtract your mitigation credit. With severity 9, likelihood 5, and detection 4 the raw product is 180, and after the mitigation credit the worked example lands at a mitigated score of 6.35.

What is a good downtime risk score?

Lower is better. On a relative basis, prioritize anything in the top quartile of your asset list for redundancy or monitoring; a mitigated score that has dropped well below your raw product, like the 6.35 example, signals that controls are materially reducing exposure.

Why subtract a mitigation strength credit?

Raw severity-times-likelihood-times-detection captures inherent risk, but spare units, dual-fuel backup, and alarms genuinely reduce residual exposure. The mitigation credit lets you compare assets after the protections they actually have are accounted for.

Severity vs detection difficulty — which matters more?

Severity caps the damage a trip can cause and rarely changes, while detection difficulty is the factor you can most cheaply attack with sensors and analytics. High severity plus high detection difficulty is the worst combination and should be addressed first.

How is this different from a standard RPN?

It uses the same severity-occurrence-detection multiplication as a classic Risk Priority Number but adds an explicit mitigation credit so you see residual risk after redundancy and controls, rather than only the inherent number.

How often should I rerun the score?

Re-score after any reliability event, after adding redundancy or monitoring, and at least annually so the mitigation credit reflects controls that are actually working.

Industrial Heat Pumps & Electrified Thermal Systems calculator

Heat Pump Downtime Risk Score Calculator

Downtime Risk is an FMEA-style priority score that ranks how dangerous an unplanned outage of an industrial heat pump or electrified thermal loop would be to your process. Reliability engineers and energy managers use it to decide which thermal assets get redundancy, spare compressors, or condition monitoring first. Because electrified heat often sits on the critical path of drying, evaporation, or sterilization steps, a single trip can stall an entire line. The score combines how badly a trip hurts the process, how often it is likely to happen, and how hard the failure is to catch before it bites.

What this calculator does

Score downtime risk for industrial heat pump assets by combining process impact, failure likelihood, detection difficulty, and mitigation strength.
Use it when maintenance, reliability, and production teams need to rank compressors, pumps, controls, exchangers, or defrost systems by operational criticality.
It multiplies process heat impact severity, downtime likelihood, and detection difficulty into a risk number, then subtracts a mitigation credit to give a net residual score.

Formula used

Downtime risk score = process heat impact severity × downtime likelihood × detection difficulty
Mitigated downtime risk score = downtime risk score - mitigation strength credit

Inputs explained

Process heat impact severity if the heat pump trips:
Likelihood of an unplanned thermal outage:
Difficulty of detecting the fault early:
Mitigation/redundancy credit in place:

How to use the result

Use it when prioritizing maintenance budgets, redundancy spend, or monitoring upgrades across multiple heat pump and electrified thermal assets.
It is a relative ranking tool, not a probability of failure in hours; two assets with the same score can still have very different real-world failure mechanisms.

Current U.S. benchmarks

Global copper trades at $13,484 per tonne (IMF via FRED, May 2026), up 41.5% in a year, and U.S. industrial electricity averages 8.66 cents per kWh. Both feed electrified-hardware unit economics.
The U.S. has 21,668 machinery manufacturing establishments employing about 1,086,146 workers (Census County Business Patterns, 2023).

Common questions

How do you calculate a downtime risk score for a heat pump? Multiply the three FMEA factors — process heat impact severity, downtime likelihood, and detection difficulty — then subtract your mitigation credit. With severity 9, likelihood 5, and detection 4 the raw product is 180, and after the mitigation credit the worked example lands at a mitigated score of 6.35.
What is a good downtime risk score? Lower is better. On a relative basis, prioritize anything in the top quartile of your asset list for redundancy or monitoring; a mitigated score that has dropped well below your raw product, like the 6.35 example, signals that controls are materially reducing exposure.
Why subtract a mitigation strength credit? Raw severity-times-likelihood-times-detection captures inherent risk, but spare units, dual-fuel backup, and alarms genuinely reduce residual exposure. The mitigation credit lets you compare assets after the protections they actually have are accounted for.
Severity vs detection difficulty — which matters more? Severity caps the damage a trip can cause and rarely changes, while detection difficulty is the factor you can most cheaply attack with sensors and analytics. High severity plus high detection difficulty is the worst combination and should be addressed first.
How is this different from a standard RPN? It uses the same severity-occurrence-detection multiplication as a classic Risk Priority Number but adds an explicit mitigation credit so you see residual risk after redundancy and controls, rather than only the inherent number.

Last reviewed 2026-05-12.