Results 131 to 140 of about 34,692 (219)
Journal of Product Innovation Management, EarlyView.ABSTRACT Academic Summary Despite the urgent need for a circular economy, firms' transition from linear to circular business models (CBMs) remains slow. While previous research suggests that dynamic capabilities are the key drivers of this transition, it assumes a direct link, overlooking that these capabilities can facilitate change but do not ...
Jörn Block +4 more
wiley +1 more source
Ultrasonic phased array testing in the power generation industry : novel wedge development for the inspection of steam turbine blades roots [PDF]
The thesis presented herein comprises of the work undertaken to research novel methods of Phased array ultrasonic inspection of complex steam turbine blade roots as found in the power generation industry.
Charlesworth, Chris, Eng.D.
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Capacitance Tip Timing Techniques in Gas Turbines [PDF]
, 2003 The vibration of turbomachinery blades is an important phenomenon to understand, observe and predict and is the reason for developing a tip timing measurement system.
Lawson, Craig P.
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Wind Energy, Volume 29, Issue 8, August 2026.ABSTRACT Accurate, time‐resolved installed capacity data are crucial for forecasting and analysing wind‐power production. The time series of installed capacity is often only approximately known in regions with rapid wind power development. Public wind power databases may only be updated yearly and installation dates may not be differentiated within ...
Olle Viotti, Johan Arnqvist, Jon Olauson
wiley +1 more source
Application of computational fluid dynamics to turbo machinery unsteady aerodynamics and aero acoustics [PDF]
, 2008 The aim of this thesis is to obtain numerical data for fan tone noise propagation and reducing the load from blade-tower interaction. By using a CFD code, MB3D, which is supplied by Professor Li He, fan tone noise transmission and wind turbine blade ...
Dong, Ying
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CESAR: A Convolutional Echo State AutoencodeR for High‐Resolution Wind Forecasting
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.Abstract An accurate and timely assessment of wind speed and energy output allows an efficient planning and management of this resource on the power grid. Wind energy, especially at high resolution, calls for the development of nonlinear statistical models able to capture complex dependencies in space and time. This work introduces a Convolutional Echo
Matthew Bonas +3 more
wiley +1 more source
Aerodynamic Design of Wind Turbine Blades Utilising Nonconventional Control Systems
As a result of the significant growth of wind turbines in size, blade load control has become the main challenge for large wind turbines. Many advanced techniques have been investigated aiming at developing control devices to ease blade loading ...
Wiratama, I. Kade
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AIChE Journal, Volume 72, Issue 7, July 2026.Abstract Filamentous microorganisms exhibit complex morphologies that influence product formation and are affected by various bioprocess parameters. Consistent morphology is therefore essential for comparable results during scale‐up. This study investigates the scale‐up of Streptomyces species (Streptomyces spp.) cultivations from shake flasks to ...
Gesa Brauneck +12 more
wiley +1 more source
Engineering Reports, Volume 8, Issue 7, July 2026.This study presents a failure‐oriented analysis of corrosion in marine infrastructure, linking degradation mechanisms to crack initiation, fatigue propagation, and structural failure. A unified framework is proposed to connect environmental exposure, material degradation, and reliability, supporting failure prediction, inspection planning, and life ...
Ananeva A. Anna, Valentin Romanovski
wiley +1 more source
Evaluating the Prediction of Wind Power Ramping Events in the Belgian Offshore Zone
Meteorological Applications, Volume 33, Issue 4, July/August 2026.This work proposes a flexible verification framework to assess wind power ramp forecasts more comprehensively than standard metrics. Applied to the Belgian Offshore Zone, it demonstrates the effectiveness of Wind‐Farm‐Parameterization and machine learning models and indicates a strong link between severe precipitation and predictable ramp events ...
Ruoke Meng +7 more
wiley +1 more source