Ricerca e sviluppo di sistemi cloud da integrare su piattaforma ERP proprietaria per il monitoraggio energetico e l'ottimizzazione dei consumi su architettura distribuita per smart buildings


Device energy monitoring

Consumption optimization in smart building

Efficient energetic monitoring and consumption optimization



The cloud system for energetic monitoring and consumption optimization



definition of annual energy plans for building


optimal and customized electric systems configuration


optimization and profiling algorithms

- 9 %

plant energetic cost


The objectives of this R&D activity were:

  • integration in an existing ERP platform with a cloud system based on distributed architecture;

  • energy monitoring of the devices;

  • optimization of consumption within intelligent buildings;

  • efficient energy management of a hybrid electrical system.  


In the realization, the following constraints must be taken into account:

  • load demand must always be met;

  • storage and DC / AC conversion losses;

  • priority of energy sources in serving loads:

    • renewables;

    • accumulation with batteries;

    • hydrogen storage;

    • diesel / network generator.

Overall system to be controlled


Idea75 has developed SmartEnergy, a tool capable of:

  • intelligently controlling devices in buildings and energy storage systems by defining future energy plans (with Profiling algorithms);

  • optimize consumption through optimal sizing of all the components of a hybrid electrical system (with Optimization algorithms).

SmartEnergy integrates into the proprietary ERP platform through the SOAP protocol (Simple Object Access Protocol).

SmartEnergy is a cloud platform on distributed architecture


Thanks to the integration of SmartEnergy the functionalities of the ERP system have been extended, through profiling and optimization algorithms, with the possibility of:

  • define the annual energy plan on an hourly basis of a building with hourly granularity; search for the plant configuration that makes the unit energy cost lower;

  • the optimal configuration of the electrical system is determined in terms of:

    • size of the photovoltaic system [kW];

    • size of the electrolyser [kW];

    • fuel cell size [kW];

    • number of hydrogen storage tanks [pz];

    • battery capacity [kWh];

    • size of the Diesel generator [kWh].


To verify the performance of the implemented algorithms, 4 test sessions were performed by varying the input configuration and the population data.

Comparative tests of the results obtained with the two methods have shown that, for the same population, SmartEnergy is able to reduce the energy cost of the plant by approximately 9%.

SmartEnergy report

Test session for the algorithm performance valutation

Comparison of SmartEnergy and previous method

SmartEnergy is able to reduce the energy cost of the plant by approximately 9%.

stakeholders & Credits

Hs system


H.S. Systems offers business management software, analytics and cloud services to help organizations to improve performance and apply digital technologies to stop traditional thinking and enable new business models.




Energy Efficiency

Cloud services

Hybrid electric system



Smart Building

Distributed architecture


© 2019 by Idea75 srl. Proudly created with

  • Facebook Social Icon
  • Twitter Social Icon