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.
EG Ines automatically identifies the potential for energy optimisation and reduction of carbon emissions based on the current consumption data.
With the help of consumption and weather data, EG Ines can warn you when it discovers a property with an abnormally high energy consumption and provide relevant suggestions on how you can optimise consumption. In addition EG Ines can help you react to consumption deviations faster and more efficiently.
Read more about the solution (pdf)EG Ines offers data-driven energy management, which frees up your time from analysis to action.
EG Ines automates and updates the manual analysis work normally performed by energy consultants.
EG Ines quickly and continuously identifies your potential for financial savings and reducing carbon consumption.
EG Ines builds on your own consumption data and provides specific suggestions for optimisation, where it is easy to see which investments provide the most value – both financially and environmentally.
EG Ines supports the continuous energy improvement efforts, by enabling you to quickly correct errors and obtain immediate results based on real-time data rather than planning with historical data.
EG Ines provides a comprehensive overview of optimisation and savings potential and carbon gains, as well as benchmarking your results with similar buildings across data.
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.
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.
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.
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.
In practice, the systems work very well together. It is an absolute requirement in property management to be able to switch from the service book to the energy management system, all with one login.Jouni Arola Director of Facilities at City of Lahti
With EG EnerKey’s new built in intelligence called Ines, we discovered and were able to optimize the ventilation operating times of our properties.Eero Takala, HVAC expert, City of Riihimäki
Long co-operation with Enerkey has generated annual savings og 5 million euros.Matti Kalervo, Director of Corporate Responsibility Kesko PLC
I’m extremely excited: Ines found optimizations for ventilation time programs and proposed new setting for those based on the measurement data.Aki Paavola, Maintenance manager, S-Pankki Kiinteistöt Ltd.
