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Nostromo Energy Secures $305 Million Conditional Commitment from US Department of Energy to Cut Climate Impact and Costs of Cooling in Large California Buildings

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2 years ago

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Nostromo will use funds to deploy its IceBrick® thermal energy storage systems in 193 commercial buildings across California

IRVINE, Calif., Dec. 9, 2024 /PRNewswire/ — Nostromo Energy, provider of the IceBrick® system, a virtual power plant (VPP)-enabled thermal energy storage solution for commercial and industrial buildings, announced today that it has received a conditional commitment for a loan guarantee of up to $305.5 million from the U.S. Department of Energy’s (DOE) Loan Programs Office (LPO). The proposed financing would be used by Nostromo for Project IceBrick® – the first, wide-scale deployment of Nostromo’s technology to reduce costs, emissions, and grid strain related to electricity for commercial cooling.

If finalized, the loan will finance the deployment of IceBrick® installations at up to 193 commercial buildings and facilities across California. Nostromo will also target installing at least 20% of these projects in disadvantaged communities, further improving the reliability of local systems. Project IceBrick® has the potential to create more than 200 jobs, including over 170 peak construction jobs. Over the 5-year construction period, the project will also create more than 874 annual job equivalents, including hiring installation contractors from disadvantaged communities when possible.

The project could also enable the state’s bulk power system to avoid up to 500,000 tonnes of CO2 emissions over its lifetime by installing a potential equivalent of 170 MW (450 MWh) of behind-the-meter, or on-site, storage capacity in buildings – while making power more reliable and affordable.

Seventy-four percent of all electricity in the US is consumed by buildings, with approximately half used to maintain thermal conditions, representing the largest load on both buildings and the power grid. California is the second-largest total energy consumer by state in the US and has set a target of being a 60% clean energy grid by 2030 and 100% by 2045.

Nostromo’s IceBrick® ice-based thermal energy storage (TES) technology reduces costs, emissions, and grid-congestion associated with the largest energy use in large commercial buildings-HVAC. The IceBrick® systems charge when electricity is cheap and clean (when renewables are available) and discharge later for use when power is both expensive and polluting. The IceBrick storage cells are 100% US-made from recycled or recyclable materials. All IceBrick® systems are centrally managed for grid-integration as a virtual power plant (VPP). They are compatible for new buildings or retrofitting on properties including hotels, offices, data centers, and hospitals. Host building owners can install IceBrick® systems without any capital or other upfront costs under Nostromo’s “Energy Storage-as-a-Service” (ESaaS) program.

Project IceBrick® is the third VPP project that the LPO has announced and the first to use TES. The potential for VPPs to alleviate grid load is significant as peak hours air conditioning accounts for approximately 50% of US electricity load during those hours. VPPs are aggregations of electrified, grid-connected devices, including grid interactive efficient buildings. They reduce utilities’ reliance on natural gas peaker plants and the strain on transmission and distribution infrastructure by intelligently time-shifting cooling loads to shave electricity demand from times of peak usage, when electricity is most carbon-intensive. As a VPP, Project IceBrick supports a higher rate of grid asset utilization, further tempering cost increases for Californians, who face some of the highest electricity bills in the nation.

“We’re excited to help fulfill the vision of the DOE and LPO to make VPPs a key resource of the modern grid by serving up to 20% of its peak loads and making power more secure, affordable and clean,” said Yoram Ashery, CEO of Nostromo Energy. “This project will benefit not only commercial buildings, but also electricity consumers in general, create hundreds of good paying domestic jobs, and reduce emissions from gas peaker plants which mostly impact disadvantaged communities around them.”

The loan guarantee for Project IceBrick would be issued under the Title 17 Clean Energy Financing Program, of the Energy Policy Act of 2005. Financing for the first Project IceBrick will be provided, subject to the outstanding required approval, by the DOE guaranteed loan of up to $305.5 million (inclusive of $1.85 million of capitalized interest), and in addition project equity, for which a term sheet has been executed with a private equity management firm, and investment tax credits (ITC). Nostromo has recently completed the sale of the ITC earned on its first IceBrick® system. In conjunction with Project IceBrick, Independence Point Securities is the exclusive financial advisor to Nostromo Energy.

This conditional commitment indicates DOE’s intent to finance the project, however, DOE must complete an environmental review, and the company must satisfy certain technical, legal, environmental, commercial, and financial conditions before the Department can decide whether to enter into definitive financing documents and fund the loan guarantee.

For more information, review the DOE’s announcement blog.

About Nostromo Energy

Nostromo Energy’s ice-based energy storage solution is redefining energy storage for commercial and industrial buildings, enabling them to become sustainable energy storage assets and reduce their energy costs and carbon emissions. Nostromo’s IceBrick® system uses ice to store energy when electricity prices are low and renewable energy is abundant, and later discharge the energy to avoid purchasing electricity that is both carbon-intensive and expensive. In this way, Nostromo helps accelerate the renewable revolution and paves the way to a carbon-free electric grid, while offering building owners a safe, clean, and financially beneficial energy storage solution. The IceBrick® is non-flammable, modular, and compact, easily retrofitted to existing commercial and industrial buildings. To learn more about Nostromo and the IceBrick® technology, visit www.nostromo.energy.

Nostromo Energy’s IceBrick® System

Nostromo’s IceBrick system is composed of thermal storage cells that are modular and compact, allowing for installation in a variety of building types as well as various locations within a building, such as in a basement or on a roof. It operates by using regular electricity to freeze a water-based solution during the hours when the grid’s electricity supply is at its most abundant and clean. The stored energy in the frozen IceBricks is then used to help power the building’s cooling system during hours of peak demand, reducing the need to rely on power from the grid at these times, which are the most expensive and when the grid faces highest demand and produces electricity from the most carbon-intensive and polluting sources. Nostromo’s VPP software can control operation and performance of IceBrick systems either as standalone systems or in concert as a VPP. The IceBrick storage cells are manufactured entirely in the US, from partially recycled and 100% recyclable materials.

Contact:
Rebecca Ash
rebecca@gova10.com 

View original content:https://www.prnewswire.com/news-releases/nostromo-energy-secures-305-million-conditional-commitment-from-us-department-of-energy-to-cut-climate-impact-and-costs-of-cooling-in-large-california-buildings-302326710.html

SOURCE Nostromo

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

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7 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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Video: CNPC offers green chemical answer

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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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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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