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Sungrow Outlines 10 Must-Know Technological Trends Driving Solar and Storage Development

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MUNICH, March 20, 2025 /PRNewswire/ — Recently, Dr. David Zhao, Senior Vice President of Sungrow, presented in his latest speech the 10 major technological trends in the solar and storage industry, which will drive the energy transition and ensure sustainable economic development.

Dr. Zhao noted that despite the rapid expansion of PV installations worldwide, the evolving power infrastructure faces five challenges: supply chain security, clean energy consumption, power system stability, resilience to load variability, and cost management. As a vital part of power decarbonization, the energy storage sector is going through a period of intense accelerated growth.

Drawing on his deep understanding of the industry, Dr. Zhao identified ten crucial technological trends essential for advancing solar and storage development.

1. High Density and High Efficiency

With the declining costs and increased localization of third-generation wide-bandgap semiconductors, inverters are progressively incorporating Silicon Carbide (SiC) and Gallium Nitride (GaN) devices. Enhanced by advanced control algorithms, increased computing power, and novel thermal packaging technologies, these changes will significantly boost the power density and efficiency of equipment. Sungrow was at the forefront of commercializing SiC devices in PV inverters. In 2021, the company introduced the 1500V string inverter SG350HX, marking a pioneering move with the adoption of 2000V SiC devices.

2. Development of High-Voltage and High-Power Systems

Over the past decade, inverter single-unit power has undergone a major improvement cycle every 2-3 years, with DC voltage moving toward 2000V. Sungrow deployed the world’s first 2000V DC PV system in China’s Shaanxi province, reducing Balance of System (BOS) costs by over 0.04 yuan (USD cent 0.55) per watt compared to 1500V systems, setting a new industry benchmark for cost reduction and efficiency improvement.

3. Grid Forming

As renewable energy penetration increases, grid-forming technologies are becoming essential to ensure a flexible, reliable, and resilient power system. Since 2006, Sungrow has been at the forefront of grid-forming technology research, honing core capabilities such as flexible inertia support, wide-frequency oscillation suppression, enhanced continuous high/low voltage ride-through, microsecond-level voltage construction, adaptive harmonic management, rapid off-grid debugging, seamless switch between on-grid and off-grid modes, and gigawatt-scale project black-start technology. Sungrow has abundant global grid-forming practices, providing customized solutions tailored to diverse grid conditions, ensuring grid safety and stability worldwide.

4. Digitalization and AI Empowerment

Digitalization and AI are revolutionizing the entire lifecycle of PV plants, boosting both reliability and operational efficiency. Sungrow has utilized advanced AI training techniques for inverters to create a sophisticated AI-driven battery management system.

This system constantly tracks and analyzes multiple parameters of battery cell states, such as temperature, current, voltage, and pressure. By doing so, it enables real-time health assessments, offers early alerts for cells showing signs of potential issues, and prevents the onset of thermal runaway, significantly improving the safety and performance of PV installations.

5. Secure and Reliable Systems

Dr. Zhao noted that a 30-year system design lifespan is set to become a new trend and standard for future inverters. He outlined more than a dozen advanced designs and technologies integral to system security and reliability, including modular design, multi-tier active fault alarms, arc detection, and shutdown mechanisms.

In addition, Sungrow invested in two large-scale, real-world energy storage system burn tests, each costing over 10 million yuan (approx. USD 1.4 million), to affirm the safety of its liquid-cooled energy storage system PowerTitan series. These tests safeguard personnel, assets, and operational safety, setting a new safety benchmark for the energy storage industry.

6. Topology Innovation

Topology innovation plays a crucial role in enhancing power conversion efficiency. In 2018, Sungrow spearheaded a major R&D project and developed the world’s first 6MW 35kV Solid State Transformer based (SST-based) PV inverter. This inverter replaced traditional low-frequency transformer with a high-frequency one, achieving an overall maximum efficiency of 98.5%. This is just one instance of how innovative topologies are continually evolving and being applied across various solar and storage applications.

7. High-Precision Simulation

For different global scenarios and grid conditions, system-level modeling and simulation capabilities are needed to mimic the performance of solar, wind, and storage systems in on-grid/off-grid and steady-state/transient processes. As simulation systems evolve, they will increasingly approximate real-world conditions, significantly shortening inverter and power system development cycles while reducing costs.

8. Virtual Power Plants

Virtual power plants (VPPs) leverage internet technologies to aggregate distributed PV, energy storage, and loads into a unified entity for grid dispatch. VPPs optimize energy utilization, promote clean energy consumption, reduce grid congestion and negative pricing, and enable control in patches for grid ancillary services, ensuring rapid response and grid stability. This significantly reduces grid construction and operational costs. By leveraging real-time monitoring and demand forecasting, VPPs can guide users to optimize their electricity consumption, and, by doing so, enhance supply reliability.

9. Source-Grid-Load-Storage-Carbon Integration

Dr. Zhao proposed, for the first time in the industry, that integrated management of source-grid-load-storage-carbon systems can promote large-scale clean energy integration, reduce curtailment, and achieve clear carbon reduction goals.

He cited as an illustration how Sungrow is providing integrated solutions for the world’s largest 2.2GW wind-PV-storage-hydrogen multi-energy complementary microgrid project in Saudi Arabia. He further commented that 2025 will mark the beginning of zero-carbon parks, with source-grid-load-storage-carbon integration becoming the preferred solution.

10. Green Hydrogen, Ammonia, and Methanol

The global demand for green hydrogen is soaring, and renewable energy-based electrolysis represents a critical future pathway. Moreover, ammonia and methanol are becoming increasingly popular due to their ease of storage and transport. Decoupling power generation from hydrogen production systems allows for the remote production of hydrogen through power transmission.

Hydrogen production rectifiers, designed with fast dynamic response capabilities, are adept at managing the power fluctuations inherent in renewable energy sources. These features make them well-suited for use in large-scale renewable hydrogen production facilities and central hydrogen production stations.

“Sungrow embeds technological innovation in our DNA. We commit to tackle the difficulties and pursue a long-term sustainable future with industry partners and peers,” concluded Dr. Zhao.

About Sungrow

Sungrow, a global leader in renewable energy technology, has pioneered sustainable power solutions for over 28 years. As of December 2024, Sungrow has installed 740 GW of power electronic converters worldwide. The Company is recognized as the world’s No. 1 on PV inverter shipments (S&P Global Commodity Insights) and the world’s most bankable energy storage company (BloombergNEF). Its innovations power clean energy projects in over 180 countries, supported by a network of 520 service outlets guaranteeing excellent customer experience. At Sungrow, we’re committed to bridging to a sustainable future through cutting-edge technology and unparalleled service. For more information, please visit: www.sungrowpower.com.

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SOURCE Sungrow Power Supply Co., Ltd.

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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