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AI Energy Optimization FAQ
Technical and commercial responses to common stakeholder concerns, including safety, deployment, and measurement.
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Product briefs and intake templates
Download standardized documents to streamline discovery, savings validation, and stakeholder conversations.
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HVAC Data Intake Template
A standardized data collection form for chillers, pumps, and terminal units to accelerate project scoping.
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Site Walkthrough Checklist
On-site checklist to capture control strategies, point counts, and comfort observations during commissioning prep.
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Some assets are currently available by request. Email info@climamind.com for the latest versions.
Complete FAQ
Technical and commercial answers in one place—filter what matters most to your operation.
Technical
Does the AI layer compromise the stability of the existing BMS or plant control?
ClimaMind runs in parallel with your BMS. Every command is constrained by multi-level safety limits and rate-of-change policies. If telemetry is out of bounds, the system reverts to the native sequence, and operators retain manual override at all times.
Technical
Do we need new sensors or significant hardware retrofits?
Most deployments reuse existing plant instrumentation—supply/return temperatures, flow, and power meters. We add a hardened edge server with UPS backup and networking gear but avoid intrusive sensor retrofits whenever possible.
Technical
How long before energy savings are measurable?
We enable reinforcement learning immediately after commissioning. Within 1–2 weeks we stabilize policy updates, and a 30-day alternating-day test or historical baseline comparison produces auditable savings results.
Commercial
How do the CapEx and shared savings models differ?
CapEx projects include a perpetual license for the edge platform with optional service agreements. Shared savings engagements are 5–8 year partnerships where ClimaMind funds the deployment and is paid from verified energy reductions.
Commercial
How are savings calculated and validated?
We prioritize alternating-day comparisons—AI control one day, native control the next—using utility metering or plant power data. Where historical data is reliable, we also offer multi-year baseline models to satisfy ESG reporting requirements.
Technical
Can the platform run in the cloud?
Yes. ClimaMind can operate fully on-premises via the edge appliance or integrate with a secure cloud environment. Commissioning typically uses an isolated network segment with firewall rules that align to your cybersecurity policies.