Calculating ROI of Monitoring and Maintenance Service Contracts for New Data Centers
Schneider Electric · Patrick Donovan, Wendy Torell
Schneider Electric WP 152 provides a framework and tool to quantify the return on remote-monitoring and predictive-maintenance contracts against run-to-fail or run-to-alarm operation.
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Overview
The benefits modeled are reduced downtime, lower MTTR, avoided energy penalty from degrading equipment, and lower staff and truck-roll costs. The core contract functions are 24x7 remote monitoring, predictive maintenance and automated dispatch with parts. The energy penalty is given concretely, derived from an Oak Ridge study: unmaintained equipment uses about 119% of baseline energy in year 2, 129% in year 3, 139% in year 4 and 151% in year 5. An average truck roll costs about $1,000 per dispatch.
A cited survey reports about 80% of sites without DCIM had a major outage against about 29% with DCIM, with MTTR reduction up to about 90%. In the sensitivity cases ROI ranges from 11% to 180% for downtime costs of $350/min to $700/min. The 11% case marks the cheap-downtime end and the 180% case the expensive end, a roughly 16-fold spread in return driven only by the downtime-cost input.
The conclusion is that the return depends mostly on the cost of downtime: modest where outages are cheap, very high where they are expensive. The survey data are a cited source, not the paper's own measurement. The 119% to 151% energy penalty is derived from an Oak Ridge study rather than measured by the paper, and the survey figures are likewise cited, so only the downtime-cost input is specific to each site.
Key points
- Energy penalty for unmaintained equipment: about 119% of baseline in year 2, 129% year 3, 139% year 4, 151% year 5.
- Average truck roll costs about $1,000 per dispatch.
- Example ROI ranges from 11% to 180% for downtime costs of $350/min to $700/min.
- Cited survey: about 80% of sites without DCIM had a major outage versus about 29% with DCIM; MTTR reduction up to about 90%.
- Core contract functions: 24x7 remote monitoring, predictive maintenance, automated dispatch with parts.
Using it in design
- Add an efficiency-degradation factor to the opex model for run-to-fail operation (+19%/+29%/+39%/+51% cooling energy in years 2 to 5) against the maintained case.
- Let users enter downtime cost per minute to compute service-contract ROI.
- Add a 'monitoring present' flag to the availability model that lowers MTTR.
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Who should read it
Operations and finance decision makers building the case for a monitoring and maintenance contract.
Related standards
- EN 50600-3-1
Publication details
- Authors
- Patrick Donovan; Wendy Torell
- Publisher
- Schneider Electric
- Year
- 2024
- Document number
- WP 152
- Document language
- English
- Source type
- Manufacturer
- Access
- Free to read
- Licence
- Copyright retained; citation only — the publisher’s terms apply to the original document
Citation
Patrick Donovan; Wendy Torell (2024). Calculating ROI of Monitoring and Maintenance Service Contracts for New Data Centers. Schneider Electric. WP 152. https://download.schneider-electric.com/files?p_Doc_Ref=SPD_WP152_EN
Events on this subject
- Data Center World Middle East
- ELECO 2026 Elektrik-Elektronik ve Biyomedikal Mühendisliği Konferansı
- Datacenter Forum Stockholm
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