Hazama Ando Corp (Japan) has developed a new smart energy system using an AI (artificial intelligence)-based energy management system (EMS).
The system, “AHSES (Adjusting to Human Smart Energy System),” was developed with help from MirrorLife Corp, Saitech Inc, Aval Nagasaki Corp and FirstLily, which deal with technologies related to the system.
The new technology is expected to become one of the technologies that realize “ZEB (Net Zero Energy Building).”
The system enables to make full use of electricity generated by a solar power plant, whose output fluctuates depending on weather conditions. It efficiently and effectively supplies electricity to a building while enabling to reduce the capacity of a storage battery to be introduced.
In addition to a solar power generation system and a lithium-ion (Li-ion) rechargeable battery, it consists of (1) software that predicts power demand and makes an optimal operation plan, a display that visualizes energy management, etc.
Based on data on the use of the building and weather, it predicts power demand by using machine learning and mathematical methods and supplies power from the solar power generation system and the Li-ion battery at optimal timings. The solar power generation system and the battery are connected by using direct-current electricity to smoothly control charge/discharge.
Because the control can be conducted by minutes, the system can support “dynamic pricing” (a method to adjust demand by changing price in accordance with supply-demand balance), which power companies plan to introduce in the future.
In a time of emergency, as a stand-alone power source, it can supply power to important facilities such as servers. Also, it is possible to flexibly expand/downsize the system in accordance with the scale of the building.
The development of the system started in April 2013. After testing each machine/device, it was introduced to Hazama Ando Technical Research Institute, and the entire system started to be tested. As a result, Hazama Ando confirmed the peak cut adjustment effect for electric power load and the function as an emergency power source with the prediction of power demand and the optimal operation plan.
The company also plans to add a co-generation system, aiming to optimally supply electricity and heat. And it intends to apply the new system to a smart grid that helps exchange electricity between buildings.