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Data for: Machine Learning-Based Surrogate Model for Accelerating Simulation-Driven Optimisation of Hydropower Kaplan Turbine

Mendeley Data2026-04-18 收录

水力涡轮机

仿真建模参数

数据链接：

https://data.mendeley.com/datasets/9cdvcv5ktk 数据链接链接失效反馈

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资源简介：

Some of the data used for the experiments in the present work.

应用场景：

创建时间：

2021-04-12

风力涡轮机

水力涡轮机

AeroDyn is a time-domain wind and MHK turbine aerodynamics module that can be coupled into the FAST version 8 multi-physics engineering tool to enable aero-elastic simulation of horizontal-axis wind t

DataCite Commons2022-09-03 更新250

Emrgy 2022 Hydrokinetic Turbine Data - TEAMER Post Access Submission

水力涡轮机

性能测试

The data herein contains all data collected and used for the Performance Characterization Testing and Model Calibration of a Vertical Axis Hydrokinetic Turbine. The data includes performance data and

DataCite Commons2022-07-19 更新90

Experimental study of the effect of gap between the stages of a double-stage Savonius Hydrokinetic turbine with end plates and blade overlapping at low water currents

水力涡轮机

性能优化

In the past, performance of two-bladed Savonius turbine was improved by double-staging. However, very few works considered its three-bladed design in a double-stage configuration (although it has more

DataCite Commons2026-03-17 更新40

Net Shape Fabricated Low Cost MHK Pass-Through the Hub Turbine Blades with Integrated Health Management Technology

水力涡轮机

叶片健康监测

The primary objective of this project is to develop a three-blade MHK rotor with low manufacturing and maintenance costs. The proposed program will design, fabricate and test a novel half-scale low co

OpenEI110

The transition rates between compartments and the efficiency parameters.

传染病动力学

仿真建模参数

These parameters are fixed during the analysis and their values are taken from [50, 84].

NIAID Data Ecosystem90