Doosan Enerbility Co., Ltd.

Support systems for gas turbine engines, including specialized pumps, cleaning methods for engine components, mobile power generation units, and specific structural components like joints and fasteners.

Combustor and fuel supply system designs that enable operation with multiple fuel types (e.g., conventional, ammonia, hydrogen) or optimize fuel-air mixing for improved efficiency, reduced emissions, or specific power cycles.

Systems and methods for real-time or periodic assessment of turbine engine health, including detection of wear, damage, unbalance, or deterioration, to enable predictive maintenance and extend operational life.

Integration of electric machines, energy storage, and power transfer systems with gas turbine engines to enable hybrid operation, electric starting, or auxiliary power generation, improving efficiency or operational flexibility.

Techniques and structures within heat exchangers designed to enhance heat transfer efficiency by controlling and optimizing fluid flow, including baffle arrangements, jet impingement, and condensate management.

Focuses on the development and application of novel materials, coatings, and manufacturing processes to improve the performance, durability, and cost-effectiveness of turbine engine components.

Catalytic processes and novel catalyst materials designed to efficiently produce hydrogen gas from various feedstocks, including hydrocarbons (e.g., methane, natural gas) and ammonia.

Innovations in the design, materials, and maintenance of seals, valves, and related components to improve durability, reduce leakage, and enable specific pump functions like high-pressure operation or automated seal replacement.

Systems and methods that use sensors, data analysis, and automation to monitor water quality, process parameters, or system performance, enabling adaptive control, predictive maintenance, or incentive-based management.

Novel designs and configurations for heat exchangers that improve heat transfer efficiency, compactness, or enable specific phase change or separation processes within refrigeration and heat pump cycles.

Systems that employ imaging and image processing to automatically detect defects, verify states, or ensure quality control in manufactured goods, printed materials, or industrial processes.

Membrane-based separation for water purification, contaminant removal, desalination, and wastewater treatment, including reverse osmosis, ultrafiltration, and forward osmosis modules.

Processes that use strong oxidants, electrochemical methods, sonic waves, or other energy-intensive techniques to break down organic pollutants, disinfect water, or facilitate contaminant separation.

Systems and methods specifically engineered for removing pollutants and impurities from water sources, ranging from groundwater decontamination to point-of-use filtration, often employing adsorption, membrane, or distillation techniques.

Non-chemical or non-biological methods that alter the physical properties or structure of water, often claimed to improve its quality or interaction with biological systems, such as vortexing or electromagnetic treatment.

Utilizing sensor data, historical performance, and analytical models to anticipate equipment failures, diagnose faults, and estimate remaining useful life, thereby enabling proactive maintenance and reducing downtime.

Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.

Technologies and systems for removing unwanted components or separating desired gases from a mixed gas stream, including adsorption, absorption, and membrane-based methods.

Heat transfer devices that utilize the phase change of a working fluid (evaporation and condensation) to efficiently move heat, often incorporating capillary structures, heat pipes, or vapor chambers.

Techniques utilizing deep learning models like Generative Adversarial Networks (GANs) or diffusion models to create new images, modify existing ones, or generate synthetic data based on various inputs or conditions.

Applying machine learning and artificial intelligence models to analyze industrial data, predict system behavior, and optimize control strategies for improved efficiency, quality, or environmental compliance in manufacturing and operations.

Design and optimization of fin structures, baffles, and surface textures within heat exchangers to increase heat transfer area, promote turbulence, or manage fluid flow for improved thermal performance.

Creating virtual representations (digital twins) of physical industrial assets or processes for simulation and analysis, often combined with blockchain technology for secure data traceability and distributed control.

Control systems designed to monitor, optimize, and manage energy generation, storage, distribution, and consumption within industrial facilities or interconnected power networks to improve efficiency and meet regulatory requirements.

Methods and systems for detecting fluid or gas leaks, or assessing the quality and continuity of seals in containers, systems, or structures. This often involves pressure changes, electrical properties, or acoustic analysis.

Methods for treating solid or semi-solid waste (sludge, litter, industrial byproducts) from water treatment processes, often with a focus on reducing volume, detoxifying, or recovering valuable resources like energy (biogas), chemicals, or materials.

Technologies and materials for capturing carbon dioxide from gas streams and subsequently converting it into valuable chemical products or materials, rather than simply storing it.

Membrane and depth filtration for industrial separation, gas purification, and bioprocess clarification including cross-flow, dead-end, tangential flow filtration, and oil/water separation.

Methods and apparatus for detecting objects and determining their three-dimensional position and orientation (pose) using imagery or point cloud data, often for navigation, surveying, or environmental understanding.