scholarly journals Wave Data Assimilation in Support of Wave Energy Converter Power Prediction: Yakutat, Alaska Case Study

2020 ◽  
Author(s):  
Ann Dallman ◽  
Mohammad Khalil ◽  
Kaus Raghukumar ◽  
Craig Jones ◽  
Jeremy Kasper ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Wave Energy ◽  
Wave Energy Converter ◽  
Power Prediction ◽  
Energy Converter ◽  
Wave Data

Influence of the wave climate seasonality on the performance of a wave energy converter: A case study

Energy ◽  
2017 ◽  
Vol 135 ◽  
pp. 303-316 ◽  
Author(s):  
V. Ramos ◽  
M. López ◽  
F. Taveira-Pinto ◽  
P. Rosa-Santos
Keyword(s):  
Wave Energy ◽  
Wave Climate ◽  
Wave Energy Converter ◽  
Energy Converter

scholarly journals Design of the dual-buoy wave energy converter based on actual wave data of East Sea

2015 ◽  
Vol 7 (4) ◽  
pp. 739-749 ◽  
Author(s):  
Jeongrok Kim ◽  
Hyuck-Min Kweon ◽  
Weon-Mu Jeong ◽  
Il-Hyoung Cho ◽  
Hong-Yeon Cho
Keyword(s):  
Wave Energy ◽  
Wave Energy Converter ◽  
East Sea ◽  
Energy Converter ◽  
Wave Data

scholarly journals Sea Level Variability in the Swedish Exclusive Economic Zone and adjacent seawaters: Influence on a Point Absorbing Wave Energy Converter

2019 ◽  
Author(s):  
Valeria Castellucci ◽  
Erland Strömstedt
Keyword(s):  
Sea Level ◽  
Wave Energy ◽  
Wave Energy Converter ◽  
Exclusive Economic Zone ◽  
Energy Converter ◽  
Stroke Length ◽  
Sea Level Variability ◽  
Additional Tool ◽  
Economic Zone

Abstract. Low-frequency sea level variability can be a critical factor for several wave energy converter (WEC) systems, for instance linear systems with at a limited stroke length. Consequently, when investigating suitable areas for deployment of those WEC systems, sea level variability should be taken into account. In order to facilitate wave energy developers in finding the most suitable areas for wave energy park installations, this paper describes a study that gives them an additional tool by exploring the annual and monthly variability of the sea level in the Baltic Sea and adjacent seawaters, with focus on the Swedish Exclusive Economic Zone. Over 10 years of reanalysis data from the Copernicus project have been used to conduct this investigation. The results are presented by means of maps showing the maximum range and the standard deviation of the sea level with a horizontal spatial resolution of about 1 km. A case study illustrates how the results can be used by the WEC developers to limit the energy absorption loss of their devices due to sea level variation. Depending on the WEC technology one wants to examine, the results lead to different conclusions. For the Uppsala point absorber L12 and the sea state considered in the case study, the most suitable sites where to deploy WEC parks are found in the Gotland Basins and in the Bothnian Sea, where the energy loss due to mean level variations is negligible.

scholarly journals Sea level variability in the Swedish Exclusive Economic Zone and adjacent seawaters: influence on a point absorbing wave energy converter

Ocean Science ◽  
2019 ◽  
Vol 15 (6) ◽  
pp. 1517-1529 ◽  
Author(s):  
Valeria Castellucci ◽  
Erland Strömstedt
Keyword(s):  
Sea Level ◽  
Wave Energy ◽  
Wave Energy Converter ◽  
Exclusive Economic Zone ◽  
Level Variation ◽  
Energy Converter ◽  
Sea Level Variability ◽  
Sea Level Variation ◽  
Economic Zone

Abstract. Low-frequency sea level variability can be a critical factor for several wave energy converter (WEC) systems, for instance, linear systems with a limited stroke length. Consequently, when investigating suitable areas for deployment of those WEC systems, sea level variability should be taken into account. In order to facilitate wave energy developers finding the most suitable areas for wave energy park installations, this paper describes a study that gives them additional information by exploring the annual and monthly variability of the sea level in the Baltic Sea and adjacent seawaters, with a focus on the Swedish Exclusive Economic Zone. Overall, 10 years of reanalysis data from the Copernicus project have been used to conduct this investigation. The results are presented by means of maps showing the maximum range and the standard deviation of the sea level with a horizontal spatial resolution of about 1 km. A case study illustrates how the results can be used by the WEC developers to limit the energy absorption loss of their devices due to sea level variation. Depending on the WEC technology one wants to examine, the results lead to different conclusions. For the Uppsala point absorber L12 and the sea state considered in the case study, the most suitable sites where to deploy WEC parks from a sea level variation viewpoint are found in the Gotland basins and in the Bothnian Sea, where the energy loss due to sea level variations is negligible.

scholarly journals Strategically estimated CapEx: wave energy converter costs breakdown and parameterisation

2020 ◽  
Author(s):  
Ophélie Choupin ◽  
Michael Henriksen ◽  
Amir Etemad-Shahidi ◽  
Rodger Tomlinson
Keyword(s):  
Wave Energy ◽  
Capital Expenditure ◽  
Fixed Number ◽  
Wave Energy Converter ◽  
Cost Calculation ◽  
Energy Converter ◽  
Site Characteristics ◽  
Detailed Application ◽  
Up Scaling

Abstract In wave renewable energy, the Capital Expenditure (CapEx) is often a fixed number or depends on a single variable (e.g. power or converter characteristic mass). Hence, it poorly highlights the CapEx dependency on the Wave Energy Converter (WEC) and Wave Energy Farm (WEF) design, which in turn depend on the site characteristics. As, most of CapEx components are accessible by wave companies nowadays, this article introduces the new generic CapEx method. This method is divided into three steps: (1) distinguishing WEC’s elements from the WEF’s; (2) defining the parameters characterising the WECs, WEFs, and site locations; and (3) estimating elements that affect WEC and WEF elements’ cost and translate them into factors using the parameters defined in step (2). The case study is based on Wavepiston because of its advanced stage and the availability of its WEC information and costs. The focus of this study is on the detailed application of step (1) and (2) to Wavepiston, to estimate the Wavepiston WEC cost using step (3). This study also illustrates how to handle complex and limited datasets of WEC configuration and site characteristics. Moreover, the results from the CapEx method were validated by manual estimations from Wavepiston. It was found for Wavepiston WEC, the site characteristics were the least affecting parameters in comparison to the WEC configuration parameters. This study also applies another parameterised cost calculation method based on the Froude law similitude as a simpler but more rigid alternative, for the CapEx method. It was shown that with appropriate scaling parameter, the Similitude method provided similar, although higher, estimations than the CapEx method’s within low ranges of WEC up-scaling. In high ranges of up-scaling, the Similitude method overestimated Wavepiston WEC cost.

A Case-Study for the Reduction of CO2 Emissions in an Offshore Platform by the Exploitation of Renewable Energy Sources Through Innovative Technologies Coupled with Energy Storage

2021 ◽  
Author(s):  
Epoupa Mengou Joseph ◽  
Gambaro Chiara ◽  
Alessi Andrea ◽  
Terenzi Andrea ◽  
Vecchione Michela ◽  
...  
Keyword(s):  
Energy Storage ◽  
Natural Gas ◽  
Co2 Emissions ◽  
Wave Energy ◽  
Meteorological Data ◽  
Wave Energy Converter ◽  
Energy Converter ◽  
Renewable Sources ◽  
Gas Consumption

Abstract Energy storage is entering in the energy distribution supply chain due to the global goal of achieving carbon neutrality in human activities, especially those related to energy production. Renewable energies integrated with energy storage play an important role in this framework [1]. The purpose of the study is to evaluate through simulations the impact of new renewable energy technologies in a microgrid to minimize fossil fuels consumption. The case study considers a hybrid microgrid including: a gas microturbine, organic photovoltaic panels (OPV), a point absorber wave energy converter, a vanadium redox flow battery and a load. The microgrid is placed in an offshore hydrocarbon plant near the northern coast of Australia. Firstly, Australian meteorological data have been studied and three seasons identified (named ST1, ST2 and ST3). Then a correlation has been established between meteorological data and OPVs performances, analyzing data collected on OPVs panels installed. This relationship has been used to assess OPVs potential production at the site of interest. Similar correlation was made between the performances of a wave energy converter placed in the Adriatic Sea and the wave power matrix, to determine a suitable power data reference for the potential production of a wave energy converter to the Australian coast. Finally, the behavior of the microgrid was modeled. Different scenarios have been considered and the best one with optimal meteorological conditions enables lead to drastically decrease of the use of gas micro turbine resulting in lowest CO2 emissions. In fact, the consumption of natural gas has been summarized as follow: Season 1 (ST1): during this season the load is entirely fed by the renewable sources and by the battery, with consequent zeroing of the daily consumption of natural gas. Season 2(ST2): the battery is charged from 09:00am to 07:00pm with the exceeding power from the renewable sources. This configuration involves a daily natural gas consumption of 10.73 Sm3/d, which is equivalent to 987.16 Sm3/ ST2 (accounting for 92 days). Season 3(ST3): the battery is charged from 09:00am to 07:00pm with the exceeding power from the renewable sources. This configuration involves a daily natural gas consumption of 6.58 Sm3/d, which is equivalent to 1006.74 Sm3/ ST3 (accounting for 120 days). The avoided CO2 emissions are 2062 tons/year. This case study showed how the new renewable technologies, such as organic photovoltaics and wave energy converter, coupled with a long duration storage system, can be conveniently applied in sites with limited space for the decarbonization purpose of an offshore platform.

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