Simple payback period Energy management systems: 3.5 months.
SYSTEM INSTALLATION RESULT AND SOLVED PROBLEMS
Energy consumption down 28%, energy cost down 34% since we save more in peak hours
Peak power requirements for new restaurants down by 65%. This means that we can now open stores in new location that were previously unavailable for us due to lack of power from the grid
We now have the additional power reserve to expand our operations - for instance we can now put EV chargers without paying extra connection fee next to your restaurant to attract customer with electric vehicles
New store installation cost down 10%. Since now we know exactly how much power, ventilation, cooling, heating, refrigerating capacity we need and can control peak consumption we can design a new store at lower cost and higher efficiency and open the store faster
All critical equipment and processes monitored - we now know exactly what is going on in the restaurants – how production, is the technologic process observes, how is personnel performing, see more information about our customer behavior
We now really know how energy efficient our equipment is in the real-world environment and have established new specs for our kitchen equipment supplier.
RESULT OF APPLYING THE SOLUTIONS WE PROVIDE Affordability:
2x Reduction in heating energy bill;
14% reduction in total electricity use;
Democratize & increase access to sustainable energy.
Resilience:
5x reliability/resilience;
30% power reserves unlocked using internal resources;
Virtual Storage solution.
Carbon Footprint:
Decrease 30% own generation cost;
Decrease 2x grid connection investments;
Decrease 20% renewable integration cost.
WHAT SOLUTIONS DO WE HAVE? Internet of Energy platform unifying all assets with machine learning-driven analytics. There are 2 main solutions, the Energy Droid for optimization and the Energy Router for management and storage.
The Energy droid:
IoT-based, end device microgrid model predictive control, energy mgt & DR based on digital twin
Agnostic smart thing mesh connection
Two-level optimization: AI-enabled real-time control + insights for structural efficiency investments.
Smart allocation of storage & DR among applications
Aggregation of small-scale distributed resources.
HOW DOES IOE HELP SAVE ENERGY? Each enterprise possesses numerous devices that consume energy. Each device can be very efficient however the devices usually know nothing about each other. This lack of communication can cause huge energy losses. The Internet of Things allows all devices to perform as a single microgrid which can save as much as 30-40% energy and carbon.
Affordability:
Cooling and heating work together 37% of the time
44% of the AC are on when not needed
In 27% cases serviceman charge for the work that was not done
22% equipment faults could be fixed without calling the serviceman
90% of the time the thermostats are set to wrong temperature
Meters show wrong consumption in 12% cases
90% of the time the temperature set point of the AC is set too low
67% customers don't choose the best tariff plan available
78% of the energy of heat curtains is wasted
76% of the time ventilation is excessive
36% of the equipment is not turned off on time
Internet energy system solves all these problems.
Resilience: Control and optimize energy cost, thermal comfort, air quality, refrigerator temperature, choose optimal tariff plans, equipment health, do peak shaving and demand response, other things. The model predictive control algorithms are based on a digital twin of the entity
Carbon Footprint:
Demonstrate the energy savings and decarbonization progress
Energy droid will show how the energy consumption and CO2 emission will gradually decline from the baseline to reference level
The digital twin allows to determine the reference (optimal) energy consumption and CO2 emissions. and find where biggest savings are.
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EnZu Energie Zukunft GmbH
DE320942794 +49 302 061 6200 Friedrichstr, 95 10117 Berlin