SmartEnergy
SMARTENERGY
“Thanks to Idea75’s R&D work, we have enhanced our ERP systems with new features for the energy consumption optimization in smart buildings, increasing our supply capacity towards customers.”
SmartEnergy
SMARTENERGY
“Thanks to Idea75’s R&D work, we have enhanced our ERP systems with new features for the energy consumption optimization in smart buildings, increasing our supply capacity towards customers.”
PROJECT DATA
Customer: HS Systems
Category: Research and development
Start: 04/2016 – End: 12/2016
PROJECT DATA
Customer: HS Systems
Category: Research and development
Start: 04/2016 – End: 12/2016
RESULTS
Definition of annual energy plans for building
Optimal and customized electric systems configuration
Optimization
and profiling algorithms
Plant energetic cost
OBJECTIVES
- the integration of a cloud system based on distributed architecture in an existing ERP platform ;
- the energy monitoring of the devices;
- the optimization of consumption within intelligent buildings;
- the efficient energy management of a hybrid electrical system.
In the realization, the following constraints must be taken into account:
- the load demand must always be met;
- the storage and DC / AC conversion losses;
- the priority of energy sources in serving loads: renewables / accumulation with batteries / hydrogen storage / diesel / network generator
SOLUTIONS
- intelligently controlling devices in buildings and energy storage systems by defining future energy plans (with Profiling algorithms);
- optimizing 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).
MORE IN DEPTH
Thanks to the integration of SmartEnergy the functionalities of the ERP system have been extended through profiling and optimization algorithms, with the possibility:
- to defining the annual energy plan on an hourly basis of a building with hourly granularity;
- to 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%.
Architecture
System performance analysis
STAKEHOLDERS & CREDITS
H.S. Systems offers business management software, analytics and cloud services to help organizations improve performance and apply digital technologies to break traditional thinking and enable new business models.
www.hssystems.it
