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Updates every hour. Last Updated: 14-May-2026 15:16 ET (14-May-2026 19:16 GMT/UTC)
Ammonia-fueled solid oxide fuel cell system advances low-carbon ship propulsion
Shanghai Jiao Tong University Journal CenterThe solid oxide fuel cell (SOFC) power system fueled by NH3 is considered one of the most promising solutions for achieving ship decarbonization and carbon neutrality. This paper addresses the technical challenges faced by NH3 fuel SOFC ship power system, including slow hydrogen (H2) production, low efficiency, and limited space. It introduces an innovative a NH3-integrated reactor for rapid H2 production, establishes a safe and efficient all-electric SOFC all-electric propulsion system adaptable to various sailing conditions. The system is validated using a 2 kW prototype experimental rig. Results show that the SOFC system, designed for a target ship, has a rated power of 96 kW and an electrical efficiency of 60.13%, meeting the requirements for rated cruising conditions. Under identical catalytic scenarios, the designed reactor, with highly efficient heat transfer, measuring 1.1 m in length, can achieve complete NH3 decomposition within 2.94 s, representing a 35% reduction in cracking time and a 42% decrease in required cabin space. During high-load voyage conditions, adjusting the circulation ratio (CR) and ammonia-oxygen ratio (A/O) improves system efficiency across a wide operational range. Among these adjustments, altering the A/O ratio proves to be the most efficient strategy. Under this configuration, the system achieves an efficiency of 55.02% at low load and 61.73% at high load, allowing operation across a power range of 20% to 110%. Experimental results indicate that the error for NH3 cracking H2 is less than 3% within the range of 570–700 °C, which is relevant to typical ship operation scenarios. At 656 °C, the NH3 cracking H2 rate reaches 100%. Under these conditions, the SOFC produces 2.045 kW of power with an efficiency of approximately 58.66%. The noise level detected is 58.6 dB, while the concentrations of CO2, NO, and SO2 in the flue gas approach zero. These findings support the transition of the shipping industry to green, clean systems, contributing significantly to future reductions in ocean carbon emissions.
- Journal
- ENGINEERING Energy
Recent advances in “top-down” synthesis strategies for single-atom catalysts
Science China PressA team of researchers from the University of Science and Technology of China (USTC) has published a comprehensive review in Science China Chemistry, highlighting the latest breakthroughs in "top-down" synthesis strategies for single-atom catalysts (SACs). Led by Prof. Huang Zhou and Prof. Yuen Wu from USTC’s Key Laboratory of Precision and Intelligent Chemistry and Deep Space Exploration Laboratory, the review systematically summarizes a decade of progress in the field, offering valuable insights for advancing SACs’ practical application.
- Journal
- Science China Chemistry
Geometry-aware human noise removal from TLS point clouds via 2D segmentation projection
Osaka Metropolitan University- Journal
- Sensors
Concordia study finds park design affects cooling differently by day and night
Concordia University- Journal
- Urban Forestry & Urban Greening
- Funder
- Trottier Family Foundation, Natural Sciences and Engineering Research Council of Canada
[Research Article] Evaluating the quality of VGI and authoritative data in red-crowned crane conservation: a comparative study
Big Earth DataA new study published in Big Earth Data systematically evaluates the data quality of Volunteered Geographic Information (VGI) in ecological conservation applications. Focusing on red-crowned crane habitats in Hokkaido, Japan, the research compares VGI data from eBird and OpenStreetMap (OSM) against authoritative datasets from GBIF and CASEarth. The findings indicate that while VGI demonstrates higher thematic accuracy and broader spatial coverage for vector-based species distribution data, OSM exhibits significant classification errors and coverage gaps in raster-based land use data, particularly for croplands and grasslands. This study underscores the critical need for tailored validation strategies across different VGI types to enhance their utility in ecological research.
- Journal
- Big Earth Data
SwRI harnesses AI to find meaningful matches in solar data
Southwest Research InstituteSAN ANTONIO — April 14, 2026 — New research led by Southwest Research Institute (SwRI) integrated three types of machine learning models to generate solar magnetic patches with physical properties and used those as a query to find matching patches in real observations. This elevates generative artificial intelligence (AI) from a means to produce artificial data to a novel tool for scientific data interrogation, supporting applicability beyond the heliophysics domain.
- Journal
- The Astrophysical Journal Supplement Series