scholarly journals Integration of Marine Wave Energy Converters into Seaports: A Case Study in the Port of Valencia

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 787 ◽  
Author(s):  
Raúl Cascajo ◽  
Emilio García ◽  
Eduardo Quiles ◽  
Antonio Correcher ◽  
Francisco Morant
Keyword(s):  
Wave Energy ◽  
Energy Demand ◽  
Energy Potential ◽  
Wave Energy Converters ◽  
Wave Power Potential ◽  
A Prospective Study ◽  
Different Sources ◽  
New Infrastructure ◽  
Energy Converters

A feasibility study for the installation of Wave Energy Converters (WEC) in a Spanish Mediterranean port is evaluated in this paper. The final aim is to evaluate the possibility of building a new infrastructure which combines a breakwater and a WEC able to provide energy to the commercial port of Valencia. An estimation of the wave power potential is made according to existing databases from different sources. A review of the existing WEC types is carried out in order to choose the most suitable technology for its installation in a port environment. The authors discuss the main advantages and issues of the integration of WEC in port breakwaters. A prospective study for the Port of Valencia is made, considering the port energy demand evolution, historical data on wave energy potential and the port expansion plans. We conclude that Overtopping Devices (OTDs) are the most suitable ones to allow the good integration with the new breakwater needed for the expansion of the Port of Valencia and we give an estimation on the power available from the resource in our case study.

scholarly journals Wave Energy Assessment at Valencia Gulf and Comparison of Energy Production of Most Suitable Wave Energy Converters

2020 ◽  
Vol 17 (22) ◽  
pp. 8473
Author(s):  
Raúl Cascajo ◽  
Emilio García ◽  
Eduardo Quiles ◽  
Francisco Morant ◽  
Antonio Correcher
Keyword(s):  
Renewable Energy ◽  
Wave Energy ◽  
Energy Demand ◽  
Alternative Energy ◽  
Average Energy ◽  
Wave Climate ◽  
Energy Output ◽  
Renewable Sources ◽  
Wave Energy Converters ◽  
Energy Converters

Seaports’ energy strategy should rely on the use of renewable energy. Presently, the share of renewable energy used by many of the ports worldwide is negligible. Some initiatives are in the process of implementation to produce some of the energy used by the Port of Valencia, one the largest ports in the Mediterranean Basin. Among these initiatives, a photovoltaic plant with an installed capacity of 5.5 MW is under a tendering process and the assessment studies for the deployment of three to five windmills are close to being finished. However, this is not enough to make it a “zero emissions port” as some of the energy demand would still be covered by fossil fuels. Therefore, we should consider clean alternative energy sources. This article analyses the wave energy resources in the surroundings of the Port of Valencia using a 7-year series of data obtained from numerical modelling (forecast). The spatial distribution of wave power is analysed using data from 3 SIMAR points at Valencia Bay and is compared to the data obtained by the Valencia Buoy I (removed in 2005). The obtained results are used to estimate the power matrices and the average energy output of two wave energy converters suitable to be integrated into the port’s infrastructure. Finally, the wave energy converters’ production is compared to the average amount of energy that is forecast to be obtained from other renewable sources such as solar and wind. Due to the nature of the Gulf’s wave climate (mostly low waves), the main conclusion is that the energy obtainable from the waves in the Valencia Gulf will be in correlation with such climate. However, when dealing with great energy consumers every source of production is worthwhile and further research is needed to optimize the production of energy from renewable sources and its use in an industrial environment such as ports.

Estimation of Technical Wave Energy Potential in Exclusive Economic Zone of India

2018 ◽  
Author(s):  
Garlapati Nagababu ◽  
Ravi Patel ◽  
Seemanth Moideenkunju ◽  
Abhinaya Srinivas Bhasuru ◽  
Surendra Singh Kachhwaha ◽  
...  
Keyword(s):  
Wave Energy ◽  
Coastal Region ◽  
Resource Assessment ◽  
Capacity Factor ◽  
Eastern Coast ◽  
Wave Power ◽  
Western Coast ◽  
Energy Potential ◽  
Wave Energy Converters ◽  
Energy Converters

Identification of the best location for wave farm installation, wave resource assessment needs to be carried out. In the present work, wave resource assessment along the Indian EEZ was carried out using the 17-year (2000 to 2016) output simulation of the third generation wave model WAVEWATCH-III (WWIII). Spatial distribution of significant wave height, mean wave energy period and annual mean of wave power is plotted. Further, the monthly and seasonal variation has been carried out to assess the effect on temporal variability at a specific location. The results show the annual mean wave power is in the range of 1–12 kW/m across the Indian EEZ. Further, it was observed that wave power along the western coast of India is more energetic than the eastern coast of India, with annual average wave power of 8–12 kW/m and 2–6 kW/m respectively. However, coastlines of Gujarat and Maharashtra experience the maximum seasonal and monthly variability across Indian EEZ, which is 2 and 3.5 respectively. By using different wave energy converters (WEC), the capacity factor and technical wave energy potential over the study area are estimated. Oceantec WEC shows maximum capacity factor (0.35) among the all selected wave energy converters. The results reveal that the electric wave power generation is 3 times more in the western coastal region as compared to the eastern coast of India.

scholarly journals Design Selection and Geometry in OWC Wave Energy Converters for Performance

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1707
Author(s):  
Iván López ◽  
Rodrigo Carballo ◽  
David Mateo Fouz ◽  
Gregorio Iglesias
Keyword(s):  
Wave Energy ◽  
Stokes Equations ◽  
Navier Stokes ◽  
Width Ratio ◽  
Navier Stokes Equations ◽  
Wave Energy Converters ◽  
Design Selection ◽  
A Site ◽  
Energy Converters

Although oscillating water column (OWC) wave energy converters are arguably one of the most studied technologies, it is not clear which chamber geometry, among all of the available alternatives, would provide the best performance at a site of interest. In this work, a numerical model based on the Navier-Stokes equations for two compressible fluids, using a volume-of-fluid interface-capturing approach, is implemented to determine the best performing OWC geometry in a case study off the Port of Vigo (NW Spain). Four general shapes of OWC are analyzed: classic, stepped-bottom, U-shaped and L-shaped, and geometrical variants are investigated. In total, 18 chamber geometries are studied, considering the same turbine geometry in all of them. It was found that the U-shaped and L-shaped designs are the most easily tuned to resonate at a period of interest. Of these two, the L-shaped performs better. The best performance is achieved for an L-shaped OWC design with a shallow entrance, a high horizontal chamber duct and a wide vertical duct, for which a maximum capture-width ratio of 71.6% was achieved.

scholarly journals Regression Diagnostics with Predicted Residuals of Linear Model with Improved Singular Value Classification Applied to Forecast the Hydrodynamic Efficiency of Wave Energy Converters

2021 ◽  
Vol 11 (7) ◽  
pp. 2990
Author(s):  
Kiril Tenekedjiev ◽  
Nagi Abdussamie ◽  
Hyunbin An ◽  
Natalia Nikolova
Keyword(s):  
Linear Regression ◽  
Wave Energy ◽  
Singular Value ◽  
Design Parameters ◽  
Hydrodynamic Efficiency ◽  
Wave Energy Converters ◽  
Modified Algorithm ◽  
Mlr Model ◽  
Energy Converters

In the preliminary stages of design of the oscillating water column (OWC) type of wave energy converters (WECs), we need a reliable cost- and time-effective method to predict the hydrodynamic efficiency as a function of the design parameters. One of the cheapest approaches is to create a multiple linear regression (MLR) model using an existing data set. The problem with this approach is that the reliability of the MLR predictions depend on the validity of the regression assumptions, which are either rarely tested or tested using sub-optimal procedures. We offer a series of novel methods for assumption diagnostics that we apply in our case study for MLR prediction of the hydrodynamics efficiency of OWC WECs. Namely, we propose: a novel procedure for reliable identification of the zero singular values of a matrix; a modified algorithm for stepwise regression; a modified algorithm to detect heteroskedasticity and identify statistically significant but practically insignificant heteroscedasticity in the original model; a novel test of the validity of the nullity assumption; a modified Jarque–Bera Monte Carlo error normality test. In our case study, the deviations from the assumptions of the classical normal linear regression model were fully diagnosed and dealt with. The newly proposed algorithms based on improved singular value decomposition (SVD) of the design matrix and on predicted residuals were successfully tested with a new family of goodness-of-fit measures. We empirically investigated the correct placement of an elaborate outlier detection procedure in the overall diagnostic sequence. As a result, we constructed a reliable MLR model to predict the hydrodynamic efficiency in the preliminary stages of design. MLR is a useful tool at the preliminary stages of design and can produce highly reliable and time-effective predictions of the OWC WEC performance provided that the constructing and diagnostic procedures are modified to reflect the latest advances in statistics. The main advantage of MLR models compared to other modern black box models is that their assumptions are known and can be tested in practice, which increases the reliability of the model predictions.

scholarly journals Nexus water & energy: a case study of wave energy converters (WECs) to desalination applications in Sicily

2016 ◽  
Vol 34 (Special Issue 2) ◽  
pp. S379-S386 ◽  
Author(s):  
Alessia Viola ◽  
Vincenzo Franzitta ◽  
Marco Trapanese ◽  
Domenico Curto
Keyword(s):  
Wave Energy ◽  
Wave Energy Converters ◽  
Energy Converters

Layout optimisation of offshore wave energy converters using a novel multi-swarm cooperative algorithm with backtracking strategy: A case study from coasts of Australia

Energy ◽  
2021 ◽  
pp. 122463
Author(s):  
Mehdi Neshat ◽  
Seyedali Mirjalili ◽  
Nataliia Y. Sergiienko ◽  
Soheil Esmaeilzadeh ◽  
Erfan Amini ◽  
...  
Keyword(s):  
Wave Energy ◽  
Wave Energy Converters ◽  
Offshore Wave ◽  
Cooperative Algorithm ◽  
Energy Converters

Aggregating GIS and MCDM to Optimize Wave Energy Converters Location in Tasmania, Australia

2015 ◽  
pp. 141-164
Author(s):  
Phuc Le ◽  
Andrew Fischer ◽  
Irene Penesis ◽  
Rahman Rahimi
Keyword(s):  
Wave Energy ◽  
Analytical Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Wave Energy Converters ◽  
Order Preference ◽  
A Chain ◽  
Hierarchy Process ◽  
Energy Converters

The aim of this chapter is to develop a framework to guide Wave Energy Converters (WECs) sites using the coastal waters of Tasmania as a case study. This chapter proposes a combined two-stage Multi-Criteria Decision Making (MCDM) methodology to determine suitable locations for WECs siting with overlapping and minimal conflicting uses. A methodology combining MCDM and Geographic Information Systems (GIS) was developed combining the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the Analytical Hierarchy Process (AHP). Priority rankings for each of the human uses and ocean features were prioritized using AHP and were then applied to TOPSIS analyses. A chain of optimal locations were determined, stretching from the southwest to southeast coast of Tasmania, where presently low densities of human activities overlap with high wave height. The result shows that suitable areas for harnessing WECs may not always be located in the highest wave energy areas.

Aggregating GIS and MCDM to Optimize Wave Energy Converters Location in Tasmania, Australia

2016 ◽  
pp. 943-966
Author(s):  
Phuc Le ◽  
Andrew Fischer ◽  
Irene Penesis ◽  
Rahman Rahimi
Keyword(s):  
Wave Energy ◽  
Analytical Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Wave Energy Converters ◽  
Order Preference ◽  
A Chain ◽  
Hierarchy Process ◽  
Energy Converters

The aim of this chapter is to develop a framework to guide Wave Energy Converters (WECs) sites using the coastal waters of Tasmania as a case study. This chapter proposes a combined two-stage Multi-Criteria Decision Making (MCDM) methodology to determine suitable locations for WECs siting with overlapping and minimal conflicting uses. A methodology combining MCDM and Geographic Information Systems (GIS) was developed combining the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the Analytical Hierarchy Process (AHP). Priority rankings for each of the human uses and ocean features were prioritized using AHP and were then applied to TOPSIS analyses. A chain of optimal locations were determined, stretching from the southwest to southeast coast of Tasmania, where presently low densities of human activities overlap with high wave height. The result shows that suitable areas for harnessing WECs may not always be located in the highest wave energy areas.

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