A methodology for architecture agnostic and time flexible representations of wave energy converter performance

Robertson, Bryson; Bailey, Helen; Leary, Matthew; Buckham, Bradley J.

doi:10.1016/j.apenergy.2021.116588

Cited by 19 publications

(7 citation statements)

References 32 publications

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“…Firstly, this research assumes that the principles of linear superposition apply. As such, the CWR curves for the different WEC sizes were constructed based on individual numerical simulations of the WEC with complete wave spectra -following the same assumptions used by [27], [28].…”

Section: Discussionmentioning

confidence: 99%

Wave resource spatial and temporal variability dependence on WEC size

Robertson¹,

Dunkle²,

Mundon³

et al. 2022

Int. J. Mar. Ene.

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As the wave energy sector grows and looks to the Blue Economy for commercialization opportunities, there is a distinct and pressing need to clearly understand and quantify the coupled impacts of wave energy converter (WEC) size and wave resource characteristics on the annual energy production, spatial variability and temporal variability. Utilizing generic frequency domain representations of the Oscilla Power Triton WEC and spectral wave conditions at PacWave (Oregon), Los Angeles (California) and WETS (Hawaii), a series of interesting results emerge. Firstly, the ‘optimal’ WEC size, from an energy standpoint, is fundamentally dependent on the frequency distribution of the incoming wave variance density spectrum. Secondly, and from a seasonality perspective, the seasonal WEC energy generation doesn’t necessarily follow the seasonal distribution of gross wave power. Finally, from an hourly power variability perspective, a reduction in WEC size generally decreases variability. However, for each of the locations investigated, there appears to be a WEC size threshold; a threshold where further reducing WEC size results in increased power variability.

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Section: Discussionmentioning

confidence: 99%

Wave resource spatial and temporal variability dependence on WEC size

Robertson¹,

Dunkle²,

Mundon³

et al. 2022

Int. J. Mar. Ene.

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“…Figure 16 shows the largest tidal power plant in the world. The marine wave energy converter (WEC) delivers the strong energy producing component of the development phase [88,89]. It needs to be an efficient and cost-effective process.…”

Section: Tide and Wave Energymentioning

confidence: 99%

Overcome the future environmental challenges through sustainable and renewable energy resources

Bhuiyan

2022

Micro & Nano Letters

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The necessity to achieve global sustainability and renewable energy resources to overcome the threat of climate change has led to unparalleled social and economic alterations ubiquitous throughout the world. The environment surrounding pollution correlated with global warming is essential to technological advances for developing energy resources. Renewable and sustainable energy resources are eco-friendly energy sources that transform heat directly into electrical energy. The transformation of the global energy system underway in various countries can play a predominant role in power sectors. It helps in establishing a low-power solution with high performance in advance. This review paper highlights technological feasibility within the economic activity of sustainable resources in various sectors. The sustainable resource would represent the world's most advanced technology and cost-effective global power transition pathway. The present status, prospects, and updated information about these energy resources have been discussed in detail. This review provides a recommendation on which energy would be suitable for electrical energy generation and would establish a green environment for the next generation to survive in the world.

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“…An IEC compliant wave energy resource assessment requires a minimum of two parameters to accurately quantify the resource: the significant wave height and the energy period. These two parameters are based on distribution of wave variance density across a wide range of frequencies and directions [19].…”

Section: A Datamentioning

confidence: 99%

“…The performance of wave energy converter designs or architectures varies significantly across both dimensions. Two different marine energy generation technologies, specifically wave technologies, were used in these analyses; a Backwards Bent Ducted Buoy (BBDB) and a Two Body Point Absorber (2BPA) [19]- [21]. These two device types are considered to account for the current lack of technology convergence in wave devices, and as will be evident in this work, their output varies.…”

Section: A Datamentioning

confidence: 99%

“…ProteusDS is a timedomain, finite-element hydrodynamic solver that accounts for the dynamics of floating bodies under excitation from environmental conditions (waves, wind, currents, etc.). The WEC power output time-series data are generated by multiplying the hourly time-series of the significant wave height and energy period (from the previously noted SWAN numerical wave model) by the appropriate WEC performance matrices (which include efficiencies and loss factors) [19].…”

Section: A Datamentioning

confidence: 99%

See 1 more Smart Citation

Evaluating the resilience benefits of marine energy in microgrids

Newman

Bhatnagar²,

O’Neil³

et al. 2022

Int. J. Mar. Ene.

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Marine energy resources could promote clean energy and resilience of coastal and island microgrids, and thus, these applications are a key future market for marine energy development. To demonstrate these benefits, this paper illustrates how inclusion of wave resources into energy resilience solutions can improve overall grid efficiency and sustainability, as well as maintain electricity supply during grid outages. The paper describes a case study evaluation of the potential to add wave energy to the Moloka'i grid as Hawaii strives to meet a 100% clean energy target. The Microgrid Component Optimization for Resilience tool is used to simulate operation in off-grid conditions and size different combinations of wave, solar photovoltaic (PV), wind, storage, and fuel resources required to meet resilience objectives. This research investigates how including wave resources in a microgrid contributes to reducing or eliminating biofuel generation, producing a zero-greenhouse gas emission profile in the latter case, and avoiding the over-sizing of PV and battery systems to accommodate periods of unavailability or high demand. Insight from this paper supports the value proposition of wave resources for future markets and informs the relationship between marine generators and microgrids or isolated grids.

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A methodology for architecture agnostic and time flexible representations of wave energy converter performance

Cited by 19 publications

References 32 publications

Wave resource spatial and temporal variability dependence on WEC size

Wave resource spatial and temporal variability dependence on WEC size

Overcome the future environmental challenges through sustainable and renewable energy resources

Evaluating the resilience benefits of marine energy in microgrids

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