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Enertiv's platform can detect equipment malfunctions and supoptimal building conditions in real time. When issues occur, building operators receive an alert immediately.
See the specific data sets for equipment fault detection in elevators, exhaust fans, basement flooding and more. Explore how detecting problems immediately can save expenses related to capital expenditures and third party services, as well as improve tenant comfort and health.
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.
See the specific data sets for human error in pump shutdowns, exhaust fan scheduling mistakes and more. Explore how detecting problems immediately can save on capital expenditures and improve tenant comfort and health.
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. This is easy to do with equipment level data.
See the specific data sets for LED lighting retrofits and more. Explore how determining exactly how much operating expenses will be saved by a small retrofit can be used to model savings going forward.
Most utilities will charge based on the highest 15-minute span of consumption over a billing period. Tracking which loads are contributing to peak demand can provide extremely valuable insights.
See the specific data sets for peak demand driven by battery chargers for electric vehicles and more. Explore how determining exactly which equipment systems are contributing most can save operating costs.
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.
See the specific data sets for predictive maintenance activities on fan coil units and more. Explore how eliminating unnecssary maintenance can reduce operating costs.
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.
See the specific data sets for scheduling optimizations made on lighting, HVAC, and more. Explore how optimizing equipment schedules can significantly reduce operating costs.
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.
See the specific data sets for short cycling occuring in A/C units, rooftop air handling units, variable frequency drives, chillers and more. Explore how correcting short cycling can delay replacement and save on capital expenditure costs.