Applications
Ranging from a single household to large industrial systems, the Hybrid Power Pods combined with any renewable energy source are the best, proven alternative for all traditional fossil fuel burning power plants.
The energy cluster configuration of the compact Hybrid Power Plant may include 4 MW photovoltaics farm; 2 MW wind turbine; 1 MWh energy storage and 500 kW natural gas peak power generator that combined guarantee continous supply of clean power for up to 3000 households.
GAS STATIONS & EV CHARGING
Hybrid Power Pods can be configured to fulfill all needs for safe and reliable power for any stand-alone power island, such as gas stations, including those locations with developing electric vehicle charging infrastructure. Three default configurations are recommended consisting of one 20’ container system for compact gas stations, and two or three modules for larger gas stations with 8x7m and 10x7 meters of footprint respectively.
OFF GRID POWER ISLAND
Whether it’s on or off-grid location, the Hybrid Power Pods with Diffused Energy systems can be deployed rapidly and easily moved, that is very convenient for constantly developing urban landscape. The integrated transformator station allows power distribution from nearby solar, wind, biogas or hydro power plants to the national grid as well as to the local grid’s AC and/or DC outputs.
RENEWABLE ENERGY PLANT PROFIT BOOSTER
Hybrid Power Pods not only store the electrons produced by renewable energy source - they also use an advanced deep learning algorithms to predict the energy supply levels under constantly changing weather conditions. Diffused Energy software solutions guarantee added value for the renewable energy industry by increasing business efficiency while reducing costs far beyond savings on energy bills.
INDUSTRIAL POWER EFFICIENCY OPTIMIZER
The Energy Management Systems integrated with Diffused Energy platform are based on advanced deep learning algorithms analysing great amount of data gathered by multiple power sensors distributed along the factory machinery or industrial infrastructure. The deep-learned data in form of the power consumption profiles are crucial to accurately predict the demand for power ahead of time. Stock market analysts know best what happens when one knows things ahead of time.