AlpSolarr vs ESS Cloud

iEMS Introduction AlpSolarr's iEMS system is based on its self-developed energy management platform. lt is a dedicated system to ESS with functions of information collection and monitoring, statistical analysis, and optimal scheduling. lt can be applied to various scenarios on the power generation side, grid side, and user side. It provides comprehensive, dimensional, and systematic solutions for the energy storage industry. The platform adopts a client-server-oriented architecture system and a service-oriented architecture system (SOA), providing general support services for the implementation of various application functions. The platform is divided into a three-layer structure, including the system layer platform layer, and application layer. Flexible in deployment, it can be both on and off the cloud and supports various standard protocols-EC101/104/61850,Modbus,etc. Highlights -Battery Management Examine and control the voltage, temperature, and internal resistance of each battery cell to achieve battery life cycle operation, maintenance, and management as well as proactive control and prevention. -Intelligent Algorithm Built-in multiple Al intelligent algorithms, which can accurately predict power generation and load, and achieve power optimization and control at the same time, so as to fit in multiple scenarios. -Massive Data Support Millions of data access points allow a big data model of the battery to be established. -Intelligent Operation and Maintenance Based on the multi-dimensional data collection and monitoring system, the overall life cycle of energy storage devices is well-managed.

ESS Cloud is an intelligent mobile application tailor-made for the operation management and data analysis of energy storage systems (ESS). Supported by cloud-based platform management, users can monitor the real-time operating status of energy storage systems anytime and anywhere, including charge and discharge volume, real-time power, State of Charge (SOC), and alarm alerts, to facilitate efficient operation & maintenance (O&M) and data-backed scientific decision-making. 【Site Monitoring & Management】 It enables centralized monitoring and management of multiple distributed energy storage sites. Users can easily query core metrics including site quantity distribution, installed capacity, and cumulative charge-discharge volume. Real-time data such as site operating status, SOC level, rated power and alarm notifications are accessible to realize multi-dimensional online monitoring and visualized management. 【Energy Analysis】 Flexible data analysis tools are available to calculate and analyze cumulative charge and discharge volume by organizational structure or individual site. This helps users gain a full picture of energy consumption and optimize the operation strategies of energy storage systems.