Redirigiendo al acceso original de articulo en 20 segundos...
ARTÍCULO
TITULO

Improving Computational Efficiency in WEC Design: Spectral-Domain Modelling in Techno-Economic Optimization

Mauro Bonfanti and Giuseppe Giorgi    

Resumen

Wave energy converter (WEC) optimization often underlines incremental and iterative approaches that result in suboptimal solutions, since all the elements that concur with a techno-economical evaluation are optimized separately due to computation constraints. A design process should rely on precise WEC models to ensure high result accuracy while minimizing the computational demand. These conflicting objectives can be addressed with non-linear time-domain models, known to be numerically accurate, and frequency-domain models due to their high computational efficiency. This work pursues the development of an all-encompassing optimization tool for a gyroscopic-type WEC called ISWEC that applies a new modelling technique named spectral-domain technique as a substitution to the complex time-domain model previously employed. In particular, the spectral-domain technique provides accurate and fast performance predictions of the ISWEC system and offers the possibility to model a hydraulic power take-off, not representable in the frequency domain. The article illustrates techno-economic trends associated with an early-stage design of the ISWEC in high-energy sea-sites, where the low-speed and high-torque profiles call for the use of hydraulic transmissions as opposed to the old electro-mechanical transmissions. The design tool proposed could facilitate the development of WEC technologies via efficient and accurate power assessment and via the possibility of carrying out advanced techno-economic optimisation that goes beyond linear models.

 Artículos similares

       
 
Sijie Liu, Nan Zhou, Chenchen Song, Geng Chen and Yafeng Wu    
This research introduces the Enhanced Scale-Aware efficient Transformer (ESAE-Transformer), a novel and advanced model dedicated to predicting Exhaust Gas Temperature (EGT). The ESAE-Transformer merges the Multi-Head ProbSparse Attention mechanism with t... ver más
Revista: Aerospace

 
Xiaohan Xu, Xudong Huang, Dianfang Bi and Ming Zhou    
Aerodynamic compressor designs require considerable prior knowledge and a deep understanding of complex flow fields. With the development of computer science, artificial intelligence (AI) has been widely applied to compressors design. Among the various A... ver más
Revista: Aerospace

 
Falah Y. H. Ahmed, Amal Abulgasim Masli, Bashar Khassawneh, Jabar H. Yousif and Dilovan Asaad Zebari    
Long-Term Evolution (LTE) technology is utilized efficiently for wireless broadband communication for mobile devices. It provides flexible bandwidth and frequency with high speed and peak data rates. Optimizing resource allocation is vital for improving ... ver más
Revista: Computers

 
Prathamesh Lahande, Parag Kaveri and Jatinderkumar Saini    
Cloud computing delivers robust computational services by processing tasks on its virtual machines (VMs) using resource-scheduling algorithms. The cloud?s existing algorithms provide limited results due to inappropriate resource scheduling. Additionally,... ver más
Revista: Informatics

 
Pier Paolo G. Bruno    
In this paper, seismic exploration methods are reviewed with a particular emphasis on the use of the reflection seismology to investigate the subsurface structures and characterize active faults. The paper provides a descriptive overview, intended for a ... ver más
Revista: Applied Sciences