Acceso al sitio web del Consejo de Políticas de Infraestructura
REVISTA
Energies

   
Inicio  /  Energies  /  Vol: 6 Núm: 4Pages1 Par: April (2013)  /  Artículo
ARTÍCULO
TITULO

Evaluation of a Model for Predicting the Tidal Velocity in Fjord Entrances

Emilia Lalander    
Paul Thomassen and Mats Leijon    

Resumen

Sufficiently accurate and low-cost estimation of tidal velocities is of importance when evaluating a potential site for a tidal energy farm. Here we suggest and evaluate a model to calculate the tidal velocity in fjord entrances. The model is compared with tidal velocities from Acoustic Doppler Current Profiler (ADCP) measurements in the tidal channel Skarpsundet in Norway. The calculated velocity value from the model corresponded well with the measured cross-sectional average velocity, but was shown to underestimate the velocity in the centre of the channel. The effect of this was quantified by calculating the kinetic energy of the flow for a 14-day period. A numerical simulation using TELEMAC-2D was performed and validated with ADCP measurements. Velocity data from the simulation was used as input for calculating the kinetic energy at various locations in the channel. It was concluded that the model presented here is not accurate enough for assessing the tidal energy resource. However, the simplicity of the model was considered promising in the use of finding sites where further analyses can be made.

PÁGINAS
MATERIAS
INFRAESTRUCTURA

 Artículos similares

       
 
Tianyu Xi, Ming Wang, Enjia Cao, Jin Li, Yong Wang and Salanke Umar Sa?ad    
The thermal comfort evaluation of the urban environment arouses widespread concern among scholars, and research in this field is mostly based on thermal comfort evaluation indexes such as PMV, PET, SET, UTCI, etc. These thermal comfort index evaluation m... ver más
Revista: Buildings

 
Siyuan Chen, Zao Zhang, Cheng Wang, Lifeng Tan, Huanjie Liu, Hong Yuan, Rui Zhang and Rui Hu    
Photovoltaic (PV) power generation is emerging as a key aspect of the global shift towards a more sustainable energy mix. Nevertheless, existing assessment models predominantly concentrate on predicting the overall capacity of PV power generation, often ... ver más
Revista: Buildings

 
Beibei Zhang, Yizhi Liu, Yan Liu and Sainan Lyu    
In the current era, as modern cities increasingly face environmental disasters and inherent challenges, the creation and enhancement of resilient cities have become critical. China?s urban resilience exhibits significant imbalances and inadequacies at th... ver más
Revista: Buildings

 
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, Moses Ashawa, Jude Osamor and John Adejoh    
In the era of digital advancements, the escalation of credit card fraud necessitates the development of robust and efficient fraud detection systems. This paper delves into the application of machine learning models, specifically focusing on ensemble met... ver más

 
Xiu Li, Aron Henriksson, Martin Duneld, Jalal Nouri and Yongchao Wu    
Educational content recommendation is a cornerstone of AI-enhanced learning. In particular, to facilitate navigating the diverse learning resources available on learning platforms, methods are needed for automatically linking learning materials, e.g., in... ver más
Revista: Future Internet