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Return and Verified Announce First 100% Wind-Powered Direct Air Capture Hub, Designed To Scale to 500,000 Tons Annually

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‘Project Concho’ Combines Proven DAC Technology, New Local Wind Power And Texas’ Carbon Storage Capacity

SAN ANGELO, Texas, Nov. 21, 2024 /PRNewswire/ — Carbon capture and removal project developers Return Carbon and Verified Carbon today announced ‘Project Concho,’ a pioneering Direct Air Capture (DAC) hub to be built in Tom Green County, Texas. Project Concho will be the first DAC hub in the world to run entirely on wind power and will leverage advanced DAC technology as well as onsite geological carbon storage to capture and permanently remove CO₂ from the atmosphere. In its first phase, the facility aims to remove 50,000 tons annually before 2030, with expansion plans to reach 500,000 tons per year, in turn creating premium, verified carbon credits that hold significant value in carbon markets.

Project Concho will be powered by a new wind farm to be built and operated by Greenalia, a leading global renewable energy producer with presence in wind and solar in Europe and the United States. The technology underpinning Project Concho will be provided by Skytree, an industry-leading carbon removal company born out of the European Space Agency with DAC units in deployment across Europe, Canada, and the United States.

“Project Concho is a significant step forward in scaling up DAC,” said Martijn Verwoerd, Managing Director of Return Carbon. “This opportunity aligns perfectly with Return Carbon and Verified Carbon’s joint mission to mitigate climate change through the scalable commercialization of new technologies in impactful infrastructure projects. We’re thrilled to make West Texas a home for this groundbreaking DAC hub and create new opportunities for the region.”

Collaboration Sets Stage For Future Renewable Power-DAC Projects

Project Concho is the result of an unprecedented collaboration between a wind energy provider and a DAC developer: the DAC hub guarantees a reliable offtake of wind energy in return for access to low-cost power, one of the challenges associated with large-scale DAC projects. Project Concho’s energy optimization will be enabled through its flexible use of power, leveraging the agreement of Greenalia and Concho partners to develop a unique Power Purchase Agreement (PPA) structure that allows for price stability and full energy deliverability. This symbiotic arrangement sets the stage for future joint renewable power-DAC projects that enable greater scale, lower risk, and reduced costs.

“We are excited about the partnership with Project Concho and there is a vision and a framework for collaboration that our companies share,” said Alexandre Alonso, SVP of Business Development at Greenalia. “The flexibility offered by the DAC hub to optimize around energy price peaks is a game changer for renewable energy projects. It not only strengthens the business case for our wind farm under development in Texas but also contributes to adding innovative business models and alternatives for a greener energy landscape in the U.S.”

State-of-the-art DAC Technology

Project Concho will feature a connected array of Skytree Stratus DAC units. Skytree’s patented DAC technology continuously optimizes energy use and drives down energy consumption while ensuring optimal CO2 capture efficiency. In addition, its modular design and 24/7 uptime guarantee made it a logical choice for a large-scale project like Project Concho in which units will be added over time.

“Project Concho is a first-of-its-kind collaboration that opens the door to even more ambitious and transformative carbon removal projects,” said Elena Nikonova, VP North America at Skytree. “Deploying DAC at scale is necessary to drive down costs across the value chain and achieve greater impact and we are thrilled to provide the technology needed to bring Project Concho to life.”

Revenue and Environmental Benefits to Concho Valley

Through carbon sequestration, local landowners can take advantage of passive revenue streams while promoting sustainable land use. “Project Concho brings significant benefits to the Concho Valley, providing new economic opportunities for landowners beyond traditional activities,” said Coleman White, co-founder of Verified Carbon and Concho Valley landowner. “Projects like these allow us to maintain traditional land uses while benefiting from a new income source and supporting projects that sustain both our environment and local economy”.

About Return Carbon

Return Carbon is a project development and investment company focused on sustainable infrastructure and energy transition projects, with a focus on the development of Direct Air Capture. Return Carbon is part of the Return group, a leading investor in solar and energy storage, with an extensive portfolio in Europe. Return has gained prominence in Europe’s energy transition, having raised EUR 100 million to support its portfolio companies, including leading energy storage companies such as SemperPower, Lion Storage, and J&P Batterie Projekte.

About Verified Carbon

Verified Carbon is a Texas-based carbon capture company, originating from the University of Texas at Austin. The company specializes in deploying DAC technology to sequester carbon and mitigate climate change while delivering financial benefits to local stakeholders. Verified Carbon, whose founding members have contributed to over 35 different Carbon Capture and Storage (CCS) projects, brings vital knowledge of the subsurface and strong landowner partnerships to the project, creating new revenue opportunities for landowners while advancing sustainable carbon sequestration in the region.

About Greenalia

Greenalia is an Independent Power Producer exclusively for renewable energy. The company harnesses wind, sun, and forestry biomass from certified plantations’ remains to generate and store energy sustainably. Greenalia promotes employment and innovation in the regions where it operates, driving growth across Europe and the U.S.

About Skytree

Born out of the European Space Agency in 2014 and headquartered in Amsterdam, Skytree harnesses CO2 from ambient air through the power of direct air capture technology (DAC). Its patented technology can be set up quickly at any location and scaled to meet the needs of businesses of all sizes. With Skytree’s unique Uptime Assurance Guarantee, all DAC systems are monitored to ensure uninterrupted operations and measured to provide valuable insights. Skytree’s Stratus DAC units are field-upgradable to newer generations as capture materials evolve, reducing energy consumption costs while improving unit capacity over time. For more information, visit skytree.eu.

View original content:https://www.prnewswire.com/news-releases/return-and-verified-announce-first-100-wind-powered-direct-air-capture-hub-designed-to-scale-to-500-000-tons-annually-302312841.html

SOURCE Return Carbon

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

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12 minutes ago

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July 24, 2026

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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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View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

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Video: CNPC offers green chemical answer

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12 minutes ago

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July 24, 2026

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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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12 minutes ago

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July 24, 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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