Feedback Solutions is committed to accelerating decarbonization initiatives and reducing utility costs with data-driven hardware-enabled software solution to optimize HVAC systems.
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Real-Time Occupant Count-Based DCV by Feedback Solutions. The operation of buildings accounts for approximately 30% of global GHG emissions. Inefficient HVAC systems are a significant contributing factor. Feedback Solutions offers a new strategy for Demand Control Ventilation in buildings using real-time occupant counts to address this problem.
Feedback leverages best in class 3rd party people counting sensors with its patented technology platform to continuously calculate highly accurate, real-time occupant counts within each HVAC zone in a building. This data is then communicated via BACnet/IP, (sent as an analog input value to the BMS or DDC) so that ventilation requirements are optimized seamlessly based on actual occupant demand. Feedback works with the clients’ BMS supplier to define a new sequence of operations to modulate the fan speeds and damper positions to supply the required amount of outdoor air based on the actual ventilation requirement. These real-time adjustments reduce HVAC-related energy consumption by as much as 40%, significantly reducing GHG emissions and resulting in less wear and tear on critical HVAC equipment. This is achieved while meeting important ASHRAE guidelines and ensuring required Indoor Air Quality. They call it ‘Sustainable IAQ’. This immediately deployable solution takes the pressure off of the need to complete deep retrofits to meet pressing GHG reduction targets.
The highly accurate space utilization data that they produce helps key stakeholders make informed operational decisions and supports business analytics. This critical data set is made available with an ROI and short payback period given the energy savings achieved. Also, additional incentives of up to 50% of the implementation fee are available in an increasing number of jurisdictions. Feedback Solutions is a Launch NY portfolio company supported by New York Ventures/ESD. They are a proud member of the 2022/2023 USGBC-LA Net Zero Accelerator cohort.
Despite unusable BMS data at one pilot site and slower-than-expected operational cost savings, Amazon's FDD pilot still delivered enough value to trigger a broader rollout across its portfolio.
Hannah Baker, engineer at Willow, walks through how DFW Airport built a CBM program that actually stuck, from training a non-technical QA team to triage thousands of faults, to graduating recurring issues into automated work orders, to tracking a single KPI called 'unsuccessfully actioned' that finally gave leadership visibility into whether closed work orders were actually fixing the problem.
Jose de Castro, CTO of Mapped, shows how one of the world's largest retailers moved restroom operations from schedule-based janitorial rounds to condition-based workflows by combining foot traffic sensors, flush counts, soap levels, and occupancy predictions into AI-summarized work orders that land directly in the existing CMMS, with no new dashboards or tools for technicians to learn.
Brad Dameron from the University of Iowa's Asset Optimization Team and Katie Rossman from Clockworks Analytics walk through how Iowa handles 3,500 faults per day without burying their maintenance shops, showing the exact triage, routing, and closeout workflow they built to turn fault detection into planned work orders that look and feel identical to every other work order in the system.
Tearle Whitson, VP of OT at Metronational and a 26-year facilities veteran, digs into the infrastructure layer that makes or breaks CBM programs—explaining why bad sensor data, uncalibrated instruments, and communication failures will undermine your fault detection before you ever get to triage, and how to build the 'building DNA' foundation that everything else depends on.
Travis Criner, Executive Director of FM Programs at CBRE, makes the case that the hardest part of condition-based maintenance isn't the technology—it's redesigning your maintenance workflows, from validating which PM tasks actually need to exist, to updating CMMS job plans, renegotiating third-party contracts, and deciding what to do with the technician capacity you free up.
James Dice introduces the Nexus Labs Condition-Based Maintenance Playbook, built from 50+ case studies, walking through why CBM is best understood as a layer on top of existing maintenance programs—not a replacement—and outlining the eight-step framework for setup, piloting, and rollout that the industry's leading building owners are using to reduce reactive work, extend asset life, and prove value to leadership.
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