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CAPITAL ENERGY ENGINEERING SL
CAPITAL ENERGY ENGINEERING SL – Unternehmen mit Aktivitäten in Forschung und Innovation.
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Development and validation of a new magnetocaloric high-performance hydrogen liquefier prototype
HyLICAL will contribute to reaching an energy demand of 8 kWh/kg and a liquefaction cost of 20% for small liquefaction volumes of… Beitrag ansehen →
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Genesis and Evolution of the EU Approach to Artificial Intelligence
This chapter analyses the European Union’s evolving approach to Artificial Intelligence (AI) governance, focussing on its regulat… Beitrag ansehen →
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Structure–Performance Relationship Study of PMA Viscosity Index Improver in New Energy Vehicle Transmission Fluid
This study systematically investigates the structure–performance relationship of PMA (PolyMethacrylate) viscosity index improvers… Beitrag ansehen →
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SMART PRINTING LABS: AI-ENABLED MANAGEMENT SYSTEMS
With the development of the printing technology toward automation and smartness, there is the emergence of Smart Printing Labs, a… Beitrag ansehen →
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Breakthrough Water Vapor Driven Turbo-Compression System for Sustainable, Thermal, Advanced Cooling
STAC Technology has designed and developed a breakthrough system that can solve a major sustainability issue surrounding the futu… Beitrag ansehen →
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Application of a New Kinetic Microbial Theory-Microbial Transition State- on Enriched Nitrifying Activated Sludge Model
Traditional engineering models known as Activated Sludge Model (ASM) are commonly used for operation, design, and optimization of… Beitrag ansehen →
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Forschungsprojekte
- Advanced study of the atmospheric flow Integrating REal climate conditions to enhance wind farm and wind turbine power production and increase components durability To deliver the future needed renewable energy capacity, wind farm developers will have to use larger turbines… →
- Integrated, Value-based and Multi-objective wind farm control powered by Artificial Intelligence For reliable and affordable design and operation of wind power plants that also consider system-level stabili… →