What is the Siemens White Space Cooling Optimization?
White Space Cooling Optimization is Siemens' data-hall control platform based on Vigilent technology. A distributed wireless sensor network measures air temperature at server inlets. An artificial-intelligence engine models how each cooling unit affects those readings, then adjusts airflow and cooling output to reduce hot spots and overcooling. Siemens says the system can run on a virtual machine or dedicated on-site hardware and integrate with building controls. It is a supervisory layer, not a replacement for local equipment safeties or the plant sequence. Performance depends on sensor placement, wireless reliability, cooling-unit interfaces, model training, guardrails, and the thermal service-level agreement. Project requirements should set sensor count, accuracy, battery maintenance, network ownership, and local or cloud hosting. The bid must list supported protocols and commands, manual override, fail-safe behavior, change control, alarm ownership, data retention, cyber review, licenses, and support response. Siemens provides named use cases, but the flyer gives no universal savings figure, fixed bill of materials, control-loop response time, or performance data for racks with little residual air load. A pilot should keep existing thermal alarms and local controls active while testing sensor coverage, command limits, communication loss, and hot-spot response under representative load changes. Acceptance should measure inlet-temperature compliance and cooling power against a documented baseline. The contract must also define model retraining after rack moves, containment changes, or direct-to-chip adoption.