Smart energy and consumption management

EG Ines gives you a unique tool for digital energy and sustainability management and energy optimisation. EG Ines automatically finds the opportunities for energy saving and carbon footprint reduction with the help of artificial intelligence.

 

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Ines building

Why you should choose EG Ines

EG Ines – Intelligent energy and sustainability manager

EG Ines Ventilation

EG Ines Ventilation

Ventilation analytics suggests right time schedules for ventilation in each facility. Ines is able to tell the occupation times from water data and the analyse ventilation on/off hours from energy data. If there is something to optimize in ventilation hours, the energy, cost and CO2-savings are calculated and visualized automatically.

Ines suggests schedules for weekdays, Saturdays, Sundays and week-day-holidays.

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EG Ines Heating Consumption

EG Ines Heating Consumption

Heating consumption analytics divides the heating energy into three parts: Water heating, ventilation heating, and baseload. Ines checks if the levels of each part are on the right level compared to similar buildings. For anomalous values Ines tells the most probable reason of this and how to correct the situation. Service is going to have also wind – consumption analysis which will reveal building’s airtightness level.EG Ines Heatingdistribution.png

EG Ines Heating Power

EG Ines Heating Power

Heating power analytics analyses and benchmarks the heating setpoint of the building and the maximum power at the rated outdoor temperature. It also checks the cooling of the district heating water is at the right level at different outdoor temperatures. The water flow of district heating is analyzed and exceptions in water flow are pointed out. The electric heating in non-electric heated buildings is analyzed to discover unnecessary electric heating.

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EG Ines Benchmarking

EG Ines Benchmarking

Smart benchmarking compares the energy use and key-figures of energy use to similar buildings to the whole EnerKey database of over 20 000 facilities. It is easy to pinpoint from data the buildings that are not performing well compared to other similar buildings and to find out the probable causes of such behavior. Smart Benchmarking includes several analysis types depending on energy type and analyzed time of year.

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