Energy
Energy
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[Example] Time Series Forecasting of Electricity Usage 'DTEmpower'
Build a data-driven power usage prediction model using time series forecasting features!
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[AIFEM] Static Analysis of Hydraulic Turbine Guide Vanes
Contributing to the evolution of the energy industry and consideration for the environment! Introducing the design and analysis of guide vanes.
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[DTEmpower] Evaluation of Wind Turbine Hub Strength
Introducing two cases of modeling and data analysis using the data modeling platform DT Empower!
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Modal analysis and static analysis of turbine rotors【AIFEM】
Created a mesh model using the mesh creation tool within AIFEM! Results demonstrating the effectiveness of the software.
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Parametric modeling of turbine blade cooling structures
Introduction to CAESES parametric modeling of blades with cooling structures for optimization!
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CFD optimization through integration with AnsysCFD.
An appropriate CAD tool is needed to ensure the generation of various model variations to be analyzed in the automation process!
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Aerodynamic optimization of wind turbine blades
Focus on the slat section of the turbine blade and perform optimization calculations!
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Optimization of turbine blade shape
Enabling optimization calculations of parametric models through automated processes!
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Aerodynamic optimization of vertical axis wind turbines
CAESES can perform optimization calculations and support users in their design tasks!
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A New Approach to the Design of sCO2 Axial Flow Turbines
Introducing a design case of a supercritical carbon dioxide axial flow turbine for waste heat recovery (WHR) in a 10MW class power plant!
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Verification of CFD Simulation of Francis Turbine Using TCFD
The actual data of the Francis turbine was measured at the FORTUNAII hydroelectric power station in Minas Gerais, Brazil!
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Parametric modeling of turbine cooling blades
It is now possible to automatically optimize the cooling structure and cooling performance in conjunction with changes to the blade shape!
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Prediction of Oil Drilling Drill Speed
Introducing methods to quickly and accurately predict the rotation speed of drills using machine learning.
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