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Sigenergy's 20 MWh Modular C&I Solution Defines the Next Generation of Energy Storage

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Sigenergy's 20 MWh Modular C&I Solution Defines the Next Generation of Energy Storage
Business

Business

Sigenergy's 20 MWh Modular C&I Solution Defines the Next Generation of Energy Storage

2025-06-04 00:13 Last Updated At:00:35

BURGAS, Bulgaria, June 3, 2025 /PRNewswire/ -- Sigenergy brought together nearly 300 global energy professionals in Burgas to explore the future of commercial and industrial (C&I) energy storage. A key highlight of the event was a visit to a landmark 20 MWh project in Malko Tarnovo, powered by Sigenergy's modular C&I battery energy storage system (BESS). The project highlights the scalability and real-world impact of next-generation storage technology.

In partnership with Trakia MT Ltd., a leading Bulgarian solar company, the system is installed on a solar farm and features 90 Sigenergy C&I hybrid inverters combined with the SigenStack modular storage solution.

Tony Xu, Founder and CEO of Sigenergy, commented: "Sigenergy's mission is to accelerate the global transition to clean energy with innovative and scalable storage solutions. This project exemplifies how advanced battery systems can drive business growth and decarbonization across industries."

Modularity Transforming C&I Energy Storage

SigenStack introduces a truly modular approach to C&I energy storage—replacing bulky containerized systems with stackable 12 kWh battery packs. With plug-and-play connectors and tool-free installation, the system eliminates complex wiring, the need for cranes, and heavy machinery.

Thanks to this design, the entire 20 MWh system was installed in just 10 days and fully commissioned within 2 days. Galina Peycheva-Miteva, Owner of Trakia MT Ltd., noted: "The installation was incredibly smooth—more like assembling building blocks than deploying industrial infrastructure. This modular design is a game-changer for the C&I energy storage sector."

Safety Engineered at the Pack Level

Sigenergy's C&I BESS solutions set new benchmarks for system safety. At the heart of this innovation is the SigenStack system, engineered with safety at every level. Each 12 kWh battery pack features six layers of protection: temperature sensors, internal fire suppression units, aerogel insulation, decompression valves, high-temperature-resistant insulation pads, and smoke detectors. This configuration enables early detection of thermal runaway at the pack level and initiates a rapid, localized response within seconds.

In contrast, conventional cabinet-style systems typically lack compartmentalization and may take over a minute to react, increasing the risk of fire propagation. By isolating incidents at the module level, SigenStack significantly enhances system reliability and operational safety.

Its advanced inverter platform includes ultra-fast 500 ms anti-backflow protection and long-range arc fault circuit interrupter (AFCI) technology capable of detecting faults up to 500 meters.

To further validate its safety performance, Sigenergy partnered with global assurance provider Intertek to publish a C&I Safety White Paper. The results confirm full compliance with UL 9540A and IEC 62619, structural stability under extreme testing, and sustained operational efficiency above 95%.

Resilience Made for Zero Maintenance

Built on robust safety and modular design, Sigenergy's C&I BESS supports 24/7 autonomous operation. With an IP66 rating for dust and water resistance, it delivers reliable performance across diverse environmental conditions. Conventional cabinet-style systems, however, often contain more vulnerable components and demand monthly inspections, half-year part replacements, and comprehensive annual maintenance.

Real-time monitoring via a cloud-based platform provides full visibility into system status, energy throughput, and alarms, significantly reducing the need for on-site inspections. Maintenance is also streamlined: faulty battery packs can be replaced individually within two hours, without full system diagnostics or on-site technician intervention. This reduces downtime, simplifies spare parts logistics, and minimizes operational costs.

The successful delivery of this project demonstrates Sigenergy's excellence in installation speed, safety, operational reliability, and smart management. Looking ahead, Sigenergy is committed to expanding its global footprint, driving the adoption of safer, more efficient, and sustainable energy solutions worldwide.

Photo - https://mma.prnasia.com/media2/2702396/image.jpg?p=medium600 

** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **

Sigenergy's 20 MWh Modular C&I Solution Defines the Next Generation of Energy Storage

Sigenergy's 20 MWh Modular C&I Solution Defines the Next Generation of Energy Storage

BEIJING, Dec. 17, 2025 /PRNewswire/ -- Realsee announced the official opening of Realsee3D, a dataset of 10,000 indoor 3D scenes, for academic research and non-commercial purposes.

This is potentially the world's largest spatial 3D dataset to date, aiming to provide a high-quality data foundation for researchers and developers in the field of spatial intelligence, and accelerate the technological iteration and application implementation of the entire industry. 

Prior to this, Realsee released Argus 1.0, a large model for spatial depth estimation. As the first large model for spatial depth estimation that supports panoramic image input, Argus 1.0 was trained based on the 10-million-level 3D spatial database accumulated by Realsee. The Realsee3D 3D dataset opened this time is precisely a selection of high-quality samples from this massive database. 

Overview

Realsee3D is a large-scale multi-view RGB-D dataset designed to advance research in indoor 3D perception, reconstruction, and scene understanding.

Features

  • Large Scale: 10,000 unique indoor scenes, comprising 95,962 rooms and 299,073 viewpoints/RGB-D pairs.
  • Rich Data: Panoramic RGB-D captures with complete room-level coverage.
  • Comprehensive Annotations: Includes CAD drawings, floor plans, semantic segmentation, 3D detection labels and more (forthcoming).
  • Diverse Scenes: Comprising 1,000 real-world scenes with varied layouts and decoration styles, and 9,000 procedurally generated scenes utilizing over 100 designer-curated style templates, ensuring diverse furniture models and styles for robust training and testing.

Data Types

  • HDR RGB  Panoramic 
  • Depth Map
  • Poses 
  • CAD Drawings 
  • Floorplans
  • Segmentation
  • 3D object detection information

Applicable Research Directions

For a long time, research and applications in the field of spatial intelligence have faced a bottleneck challenge: there has always been a huge gap in high-quality spatial data. Relying on its technological accumulation and resource reserves in the field of 3D spatial data, Realsee is filling this gap. 

This dataset is suitable for core research directions in spatial intelligence such as geometric reconstruction, multi-modal learning, and embodied AI. Researchers and developers worldwide are welcome to download and use the Realsee3D 3D dataset to jointly explore the future boundaries of spatial intelligence research. 

Data Organization & Access

Currently, the Realsee3D dataset is open for application through official channels.
Visit the Realsee GitHub repository to access it: 
https://github.com/realsee-developer/RealSee3D

About Realsee

As a leading tech company providing digital space integrated solutions, Realsee has built the world's largest 3D spatial database by replicating physical spaces, covering over 50 million spaces and boasting over 600 global authorized patents.

Realsee offers digital solutions for your space, spanning from its design and construction stage, to online marketing and visual operation.

Trust Realsee to elevate your real estate transactions, commercial retail, industrial facilities, cultural exhibitions, public affairs, and home decor to the next level.

 

** The press release content is from PR Newswire. Bastille Post is not involved in its creation. **

The Largest-Scale Globally: Realsee Open-Sources Indoor 3D Dataset Realsee3D

The Largest-Scale Globally: Realsee Open-Sources Indoor 3D Dataset Realsee3D

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