Articles tagged with "AI-optimization"
New levels of aircraft engine efficiency unlocked with AI model
The European Commission’s “Flightpath 2050” strategy aims to significantly reduce aviation emissions, with more efficient aircraft engines being a key technology to achieve this goal. Researchers at Graz University of Technology (TU Graz) in Austria, through the ARIADNE project, have developed an AI-driven model that accelerates the simulation and optimization of intermediate turbine ducts—critical components that guide airflow between high- and low-pressure turbines in aircraft engines. By leveraging a large database of flow data and testing various AI approaches, the team found that reduced order models, which focus on common data features, dramatically speed up calculations while maintaining acceptable accuracy. This allows for rapid assessment of efficiency changes when design parameters, such as duct length, are varied. The TU Graz team plans to share their extensive turbine duct database and reduced-order model online to enable other researchers to develop advanced three-dimensional simulation models. Their machine learning approach has also uncovered previously unknown dependencies and trends in engine design, opening new avenues for innovation. Given that aviation
energyaircraft-enginesAI-optimizationturbine-ductsaviation-emissionsmachine-learningsimulation-modelsUS nuclear reactor construction to become faster, cheaper with Google-Westinghouse team-up
Westinghouse and Google Cloud have partnered to deploy a custom AI platform aimed at optimizing and accelerating the construction of nuclear reactors in the US. This collaboration leverages specialized AI models and integrates Westinghouse’s extensive proprietary nuclear data, including its “Hive” infrastructure and “Bertha” generative AI assistant, with Google’s predictive tools and Westinghouse’s 3D digital twin system, WNEXUS. The platform predicts bottlenecks, optimizes task sequencing, dynamically adjusts staffing, and accounts for supply chain constraints, addressing the historical delays and high costs—where construction accounts for 60% of a reactor’s total price—associated with nuclear reactor development. This technological advancement supports Westinghouse’s strategic goal to have 10 AP1000 reactors under construction by 2030, which would generate enough clean, reliable power to electrify about 7.5 million households, roughly the combined population of the five largest US cities plus several data centers. The initiative is critical as the
energynuclear-energyAI-optimizationGoogle-CloudWestinghousenuclear-reactorsclean-energyBYD's Sales Transition: Clearing Out the Old to Make Way for the New in China - CleanTechnica %
The article discusses BYD's strategic transition in its Chinese market lineup, focusing on phasing out older models to introduce newer, more advanced vehicles. The Song Plus, BYD’s best-selling vehicle and the top-selling car in China during the first half of 2025, is being replaced by the Sealion 06 at Ocean dealerships. The Sealion 06, available as both a battery electric vehicle (BEV) and plug-in hybrid electric vehicle (PHEV), features a new platform, enhanced technology, and improved equipment while maintaining similar pricing. As the Sealion 06 ramps up sales domestically, production of the Song Plus is shifting overseas to markets such as Uzbekistan and other countries where it remains a popular new energy vehicle (NEV). In addition to this model transition, BYD is relocating production of older models based on its 4th Generation DM-i platform to overseas plants, supporting its faster global growth compared to domestic sales. The company continues to innovate in PHEV
energyelectric-vehiclesBYDplug-in-hybridbattery-electric-vehiclesAI-optimizationautomotive-technologyWhy Dispo’s co-founder made the leap from social media to steelmaking
Daniel Liss, co-founder of the social network Dispo and the dating app Teaser AI, has shifted his focus from social media to steelmaking, driven by concerns about U.S. supply chain vulnerabilities highlighted during a National War College war game exercise. The exercise underscored the lack of domestic shipbuilding capacity and steel production critical for national defense, inspiring Liss to found Nemo Industries. Nemo aims to modernize the outdated steel industry by using AI to optimize pig iron production, moving beyond traditional, manual methods. Unlike typical industrial software firms, Nemo plans to build and operate its own furnaces, leveraging AI from the ground up to gain a significant margin advantage. Nemo’s approach includes using natural gas-fired furnaces, which emit less carbon dioxide than the coal commonly used in steelmaking, and exploring carbon capture technologies supported by tax incentives from the Inflation Reduction Act. Liss’s partner, Michael DuBose, brings expertise from the natural gas sector, which is critical for scaling operations.
steelmakingAI-optimizationindustrial-automationenergy-efficiencynatural-gascarbon-capturesupply-chain-managementNevoya raises $9.3M as its EV truck fleet reaches cost parity with diesel
Nevoya, a Los Angeles-based electric vehicle (EV) trucking startup, has raised $9.3 million in a seed funding round led by Lowercarbon, with participation from Floating Point, LMNT Ventures, and others. The company, which emerged from stealth last year, offers electric trucks to shippers and currently serves 10 Fortune 500 companies, achieving cost parity with comparable diesel trucks in California. Nevoya credits its competitive edge to leveraging AI for route optimization, load matching, energy-efficient operations, and battery management, enabling automation of up to 90% of trucking processes and improving communication between dispatchers and customers. With the new funding, Nevoya plans to expand beyond California into states like Texas, where it is already hauling freight in Houston and Dallas. However, reaching cost parity with diesel trucks in these new markets presents challenges due to less developed charging infrastructure. To address this, Nevoya employs creative solutions such as utilizing existing chargers at passenger vehicle stations and school bus depots during off-
energyelectric-vehiclesAI-optimizationbattery-managementlogistics-automationsustainable-transportationtrucking-industryChina firm launches world-largest green hydrogen and ammonia plant
A Shanghai-based company, Envision Energy, has launched what it claims to be the world’s largest and most advanced green hydrogen and ammonia production facility in Chifeng, China. Powered entirely by the largest off-grid renewable energy system, the plant integrates wind, solar, and energy storage to produce green ammonia with an initial annual target of 300,000 tons, scaling up to 1.5 million tons by 2028. The facility is notable for being fully AI-enabled, allowing real-time optimization and stability at industrial scale, and is located within the Chifeng Net Zero Industrial Park, the world’s largest zero-carbon industrial park. This project represents a significant advancement in clean energy and industrial decarbonization, employing innovative energy storage and load flexibility technologies such as converting surplus green power to liquid nitrogen and dynamically adjusting electrolyzer operations based on renewable power availability. Envision positions the plant as a modular, replicable model for clean industrial hubs globally, emphasizing its strategic role in achieving net-zero
energygreen-hydrogenammonia-productionrenewable-energyAI-optimizationclean-energyindustrial-decarbonizationCast AI raises $108M to get the most out of AI, Kubernetes and other workloads
Cast-AIfundingAI-optimizationKubernetescloud-computingautomationworkload-management