Defining the Long-Term Wave Resource at Wave Hub: The Role of Measurements and Models

2008 ◽  
Author(s):  
Joseph Phillips ◽  
Joao Cruz ◽  
Rob Holbrow ◽  
Jeremy Parkes ◽  
Rob Rawlinson-Smith
Keyword(s):  
Wave Energy ◽  
Resource Assessment ◽  
Wave Climate ◽  
Short Term ◽  
Wave Data ◽  
Wave Measurements ◽  
Operations And Maintenance ◽  
South West Coast ◽  
Short Term Forecasting

Wave measurements made on the site of a potential wave energy project can be of high value to developers. Such data can be used to define both long-term and short-term wave energy resources available to devices as well as the optimal operations and maintenance strategy which should be employed for the project. All three of these applications are addressed in an ongoing study commissioned by the npower Juice Fund for the Wave Hub project which is planned off the South West coast of England. The aim of this work is to extract best value from the historical and future wave measurements from the project site. The programme of this project is outlined here with a technical description of activity in the three parallel strands of the study; wave resource assessment, short-term forecasting and O&M modelling. The focus of this paper is on a key aspect of the ongoing work programme - that relates to the use of measured and modelled wave data to derive a prediction of the long-term wave climate at the Wave Hub site. In particular, various candidate methodologies for correlating short-term measured wave data and long-term modelled data are explored in the context of a Measure-Correlate-Predict (MCP) analysis. This work has also included consideration of the inter-annual variability of wave resource in order to examine the uncertainty associated with assuming that a finite historical reference period is representative of the long-term wave climate.

Short-Term Forecasting Method of Maximum Usable Frequency for HF Communication Based on Oblique Sounder

2013 ◽  
Vol 336-338 ◽  
pp. 1676-1681
Author(s):  
Jin Hai Hou ◽  
Jian Wang ◽  
Li Qiang Wu ◽  
Sheng Yun Ji ◽  
Dan Jun Chen
Keyword(s):  
Critical Frequency ◽  
Short Term ◽  
System A ◽  
Maximum Usable Frequency ◽  
Forecasting Method ◽  
Short Term Forecasting ◽  
Frequency Management ◽  
Ray Path ◽  
Long Term Prediction

Based on oblique sounding system, a short-term forecasting method of maximum usable frequency for HF communication was presented. The method include four steps: firstly, maximum usable frequency of oblique sounding circuit was forecasted based on its sounding data; secondly, the critical frequency of sounding path midpoint was determined from the oblique sounding data and its forecast data by using ray-path theory; thirdly, the critical frequency was reconstructed for forecast circuit; in the end, maximum usable frequency for HF communication circuit was given. Using the oblique sounding data during March 2012, the accuracy and practicability of the method was validated. The root-mean-square error of the short-term forecast is 1.56 MHz, and is reduced 0.40MHz contrast to that of the long-term prediction. The research provides the important reference for frequency selection and frequency management of HF communication.

Calibration of SWAN Model for Wave Simulation in Bohai Sea

2013 ◽  
Vol 423-426 ◽  
pp. 1344-1350
Author(s):  
Xiang Cui Lv ◽  
Dao Sheng Wang ◽  
De Kui Yuan ◽  
Jian Hua Tao
Keyword(s):  
Water Waves ◽  
Bohai Sea ◽  
Sensitivity Analyses ◽  
Short Term ◽  
Wave Source ◽  
The Bohai Sea ◽  
Swan Model ◽  
Wave Data ◽  
Wave Characteristics

It is necessary to obtain a further understanding of the behaviors and characteristics of water waves in the Bohai Sea for the coastal engineering construction and environment protection in this area. The SWAN (Simulating Waves Nearshore) model, a third-generation wave spectral model on the basis of wave action conservation has been applied to study the water waves in the Bohai Sea by several researchers, and encouraging results have been obtained. However, the calibrated parameter for a wave process at an individual station does not have universal applicability for other stations, which causing problems to anyalyze the wave characteristics in the Bohai Sea. Thus, in this study how to calibrate the SWAN model in the Bohai Sea was analyzed carefully in terms of five sets of short-term wave data and one set of long-term wave data at Tanggu. It was found that wind, whitecapping, bottom mechanisms of wave source function and tide current are the four main factors in the process of wave development. A set of optimized parameters suitable for both long-term and short-term wave processes in the Bohai Sea is suggested through the sensitivity analyses of these elements. Comparisons between the simulated results and the field measured data show that the validated model can provide more accurate results for both long-term and short-term simulations and can be used to study the wave characteristics in the Bohai Sea.

Long-Term Wave Power Statistics for Individual Waves

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Bernt J. Leira ◽  
Dag Myrhaug
Keyword(s):  
Wave Height ◽  
Wave Climate ◽  
Statistical Information ◽  
Power Device ◽  
Wave Power ◽  
Power Devices ◽  
Short Term ◽  
Wave Power Potential ◽  
The Individual

The paper provides long-term bivariate distributions of wave power with wave height, and wave power with wave period. This is relevant for assessments of wave power devices and their potential for converting energy from waves. The results can be applied to compare systematically the wave power potential for individual waves at different locations based on short-term statistical description of the individual waves and the long-term statistical information of the wave climate. Furthermore, it allows for assessment of the efficiency of a given wave power device for each location.

scholarly journals PRELIMINARY ASSESSMENT OF WAVE ENERGY IN SRI LANKA

2020 ◽  
pp. 21
Author(s):  
Kusalika Ariyarathne ◽  
Pavithra Jayarathne
Keyword(s):  
Sri Lanka ◽  
Wave Energy ◽  
Sri Lankan ◽  
Energy Potential ◽  
Wave Data ◽  
Density Maps ◽  
South West Monsoon ◽  
Near Shore ◽  
Directional Wave

Preliminary results of a numerical model developed to detail spatial and temporal assessment of theoretically available near shore wave energy, and potential wave energy extracting sites, along the Sri Lankan coast is presented in this paper. Wave energy is estimated applying Danish Hydraulic Institute's Mike 21 Spectral Wave (SW) module. The model is developed and applied covering an area along the coast line of entire country extending from 315000 to 640000 mE, and 602000 to 1164000 mN. Model was run with boundary inputs of wind and wave, based on long term measured, and long term hindcast directional wave data available at seven locations, which are well distributed around the country. Model calibration and validation are carried out based on long term measured directional wave data at Colombo, Sri Lanka. Based on the estimated wave energy density maps, and spatial and temporal energy variations, Hambantota, in South East coast is identified as the most feasible location for wave energy harnessing. Annual and seasonal availability of the wave energy, for Hambantota area, at 25 m depth, were looked into in detail. In the above area, mean annual energy potential was estimated as 10 kW/m at 25 m depth, whereas maximum annual potential energy was estimated as 36 kW/m. During South West monsoon, where high waves are present, the mean energy potential is estimated as 15 kW/m.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/dPa9istaB7A

scholarly journals Comparison of Design Wave Heights Determined on the Basis of Long- and Short-term Measurement Data

2018 ◽  
Vol 65 (2) ◽  
pp. 123-142
Author(s):  
Marek Szmytkiewicz ◽  
Piotr Szmytkiewicz ◽  
Tomasz Marcinkowski
Keyword(s):  
Measurement Data ◽  
Research Station ◽  
Short Term ◽  
Wave Data ◽  
Wave Parameters ◽  
Wave Heights ◽  
Short And Long Term ◽  
Wave Trains ◽  
Coastal Research

AbstractThe objective of this study is to determine differences between design wave heights determined on the basis of short- and long-term wave trains. Wave parameters measured over a period of 7.47 years in the vicinity of Coastal Research Station Lubiatowo were used as short-term wave data, while wave parameters determined through the so-called wave reconstruction for a period of 44 years for the same region and depth were used as long-term wave data. The results of the calculations lead to the conclusions the significant wave height distributions obtained for short and long-term wave data are similar.

scholarly journals Wave Energy Resource Assessment for Exploitation—A Review

2020 ◽  
Vol 8 (9) ◽  
pp. 705 ◽  
Author(s):  
Nicolas Guillou ◽  
George Lavidas ◽  
Georges Chapalain
Keyword(s):  
Wave Energy ◽  
Energy Resource ◽  
Resource Assessment ◽  
Wave Climate ◽  
Maximum Efficiency ◽  
Physical Processes ◽  
Wide Range ◽  
Technical Specifications ◽  
Reduced Costs

Over recent decades, the exploitation of wave energy resources has sparked a wide range of technologies dedicated to capturing the available power with maximum efficiency, reduced costs, and minimum environmental impacts. These different objectives are fundamental to guarantee the development of the marine wave energy sector, but require also refined assessments of available resource and expected generated power to optimize devices designs and locations. We reviewed here the most recent resource characterizations starting from (i) investigations based on available observations (in situ and satellite) and hindcast databases to (ii) refined numerical simulations specifically dedicated to wave power assessments. After an overall description of formulations and energy metrics adopted in resource characterization, we exhibited the benefits, limitations and potential of the different methods discussing results obtained in the most energetic locations around the world. Particular attention was dedicated to uncertainties in the assessment of the available and expected powers associated with wave–climate temporal variability, physical processes (such as wave–current interactions), model implementation and energy extraction. This up-to-date review provided original methods complementing the standard technical specifications liable to feed advanced wave energy resource assessment.

scholarly journals A review of wave climate and prediction along the Spanish Mediterranean coast

2008 ◽  
Vol 8 (6) ◽  
pp. 1217-1228 ◽  
Author(s):  
A. Sánchez-Arcilla ◽  
D. González-Marco ◽  
R. Bolaños
Keyword(s):  
Field Data ◽  
Wave Climate ◽  
Mediterranean Coast ◽  
Short Term ◽  
Wave Fields ◽  
Wave Parameters

Abstract. This paper reviews the characterization of wave storms along the Spanish/Catalan Mediterranean coast. It considers the "physical" and "statistical" description of wave parameters and how they are affected by the prevailing meteo patterns and the sharp gradients in orography and bathymetry. The available field data and numerically simulated wave fields are discussed from this perspective. The resulting limits in accuracy and predictability are illustrated with specific examples. This allows deriving some conclusions for both short-term operational predictions and a long-term climatic assessment.

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