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We are proud to show the specific ways in which Enertiv has helped owners and operators save operating costs, avoid equipment replacement, and maximize tenant health & comfort.
Enertiv's platform can detect equipment malfunctions and supoptimal building conditions in real time. When issues occur, building operators receive an alert immediately.
Included are specific data sets for equipment fault detection in elevators, exhaust fans, basement flooding and more.
Sometimes poor operational performance is due to human error. Whether it is accidentally hitting an on/off switch or forgetting to reset an equipment schedule after maintenance, these oversights can be costly.
Included are the specific data sets for human error in pump shutdowns, exhaust fan scheduling mistakes and more.
Retrofit projects can have large upfront costs and are expected to drive significant operational savings. It's important to verify that the savings expected are actually materializing.
Included are the specific data sets for LED lighting retrofits and more.
Most utilities charge based on the highest 15-minute span of usage over a billing period. Tracking which loads are contributing to peak demand can provide extremely valuable insights.
Included are the specific data sets for peak demand driven by battery chargers for electric vehicles and more.
Preventative maintenance schedules are better than being reactive to problems, but often it is not an efficient use of maintenance dollars. In some cases, time is wasted checking systems too frequently, in others, problems go undetected for the time between rounds.
Included are the specific data sets for predictive maintenance activities on fan coil units and more.
Equipment schedules are often programmed once and left to run. Very often, these schedules are not optimal and do not reflect actual occupancy rates. These inefficiencies can be a major drag on net operating income if not addressed.
Included are the specific data sets for scheduling optimizations made on lighting, HVAC, and more.
Short cycling is a common cause of equipment issues, yet almost impossible to detect without real time tracking. When equipment short cycles, it can trip breakers and cause shut downs or even cause total failure.
Included are the specific data sets for short cycling occuring in A/C units, rooftop air handling units, variable frequency drives, chillers and more.