Energy management
Solutions
Optimize energy consumption, reduce costs and minimize environmental impact
With the MePIS Energy information system, you can manage energy consumption data in one place, analyze it and convert it into useful information for energy savings, improving operations and reporting. We also offer expert consulting to increase energy efficiency.
Key Features:
- Advanced MePIS Energy information system
- Tools for energy consumption analysis and optimization
- Tools for ensuring energy and environmental sustainability in operations and reporting
- Key energy efficiency indicators
- Weather normalization of measurements
- Calculation of specific energy consumption based on user requirements
- Automatic or manual data collection
- Automatic data transfer from e-invoices
- Generation of energy reports
- Automated peak load management / peak shaving
- Consulting on energy efficiency improvements
- Equipment Supply
- Operational and Technical Consulting
References
Agrana Fruit, Aquardens, Atlantic Droga Kolinska, Belupo, Blaj Fasteners, Cinkarna Celje, JP Energetika Ljubljana, Ljubljanske mlekarne, Marifarm, Medex, Mercator, Ministry of Justice RS, Mlekarna Celeia, Pliva, Premogovnik Velenje, Brežice General Hospital, Murska Sobota General Hospital, Novo mesto General Hospital, Ptuj General Hospital, Terme Čatež, Thermana Laško, University of Ljubljana, UKC Ljubljana, Vossen, Weiler Abrasives
Automatic management of active electricity consumption in industry and buildings
- in-depth analyses of electricity consumption and simulations to determine theoptimal billing power
- configuration of permissible changes to the operation of individual consumers (consumption profile, characteristics, limits, etc.)
- calculating optimal customer management scenarios using artificial intelligence
- real-time monitoring of consumption peaks with the ability to take preventive action based on predictive simulations
- automatic peak load balancing through appropriate consumer management
Key benefits
- easy and proactive adaptation to changes in network fee billing to avoid increased electricity costs
- preventive adjustments to consumer behavior based on consumption forecasts and artificial intelligence algorithms
- balancing peaks with automatic management of consumers, achieving savings without employee intervention
- determination of optimal billing power based on simulations
- the possibility of reducing network fee costs by more than 10 percent *
* Depending on consumption profile and flexibility.
Improve process control and energy efficiency
Complete MES for a new packaging center in Turda, Romania
Digitalize production processes and create a smart factory