Software was coming on March 18 (number) from (gold) participate in ‘sweet wind and 2020 (solar and earth energy trade fair 2020)’ to be held in Kim Dae-jung Convention Center in Gwangju by.Cloud-based energy management system (encare, enerbot) version a 2.0 connection, large-scale solar power plant and pv ess the that can be integrated at a glance in control and o and mIntegrated control monitoring system will be displayed.

EMS Integrated Monitoring Screen
Hamilton Soft has been verified by Korean customers for technical skills and system stability by launching EMS (Energy Management System), a key solution in the renewable energy sector, and has completed construction of a solar-powered microgrid system and ESS test complex located in Ulaanbaatar, Mongolia, based on EMS “Encare” and PMS “Enerbot” products.

In addition, it has signed EMS supply agreements with leading foreign companies such as the AVL Convention on Supply of EMS with Sunghrow, a global partner for Inverter and PCS production, and the Convention on Supply of EMS with REFU of Germany. Through cooperation and agreements with global companies, the company is actively seeking to find overseas markets as well as domestic markets.

Establishment of ESS Test Bed for Sunghrow Headquarters in China
To collect a large number of data from large power plants in real time, the company has developed a new system architecture for Hamilton`s software industry and plans to introduce new products at this exhibition to pioneer overseas markets where communication environment is poor as well as in Korea.

Establishment of ESS Test Bed for Sunghrow Headquarters in China
The PMS ‘ENERBOT’ is designed to be equipped with a web-based data collection middleware and algorithms developed with its own technology for efficient charging schedule management so that various types of facilities can be expanded and serviced indefinitely, and EMS ENCARE provides maximum efficiency regardless of brands such as PCS, batteries and power meters by applying the optimal weather-following algorithm to maximize the charge compared to solar power generation.