The impacts of tidal energy development and sea-level rise in the Gulf of Maine

Kresning, Boma; Hashemi, M. Reza; Neill, Simon P.; Green, J. A. Mattias; Xue, Huijie

doi:10.1016/j.energy.2019.115942

Cited by 25 publications

(15 citation statements)

References 47 publications

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“…The objective function (4) aims to provide the supplier with the maximum net present value following the leader's goal to reach the maximum energy. Constraint (5) states that one renewable energy type i is allowed at most to be established in location j. Constraint (6) ensures that if the location j is established, then the renewable energy type i must be allocated.…”

Section: A Blp Of Relmentioning

confidence: 99%

“…However, the effectiveness of this method depends on the ocean's current intensity, that is, a lower amount of electricity is obtained when the sea is calm whereas more electricity can be obtained for a choppy sea with high-intensity water flow. 5 Hydroelectricity is also a new form of electricity generation benefiting from hydropower. In this method, the electric energy is obtained by the gravity force caused by falling of water in large volumes from the dams' reservoirs over turbines.…”

Section: Introductionmentioning

confidence: 99%

“…The first commercial use of this device occurred in Portugal in the Atlantic Ocean. However, the effectiveness of this method depends on the ocean's current intensity, that is, a lower amount of electricity is obtained when the sea is calm whereas more electricity can be obtained for a choppy sea with high‐intensity water flow 5 …”

Section: Introductionmentioning

confidence: 99%

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Robust bi‐level programming for renewable energy location

2021

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One of the key factors in the establishment of power plants is proper location, which entails addressing various criteria. Power plant establishment operations are included in the fundamental designs; in turn, comprehensive studies in this field seem to be a prerequisite. The most important innovation of the present study consists of applying the robust bi-level programming technique and game theory (Stackelberg competition) for locating renewable energy sites. Robust stochastic method is implemented for the robustification of the model against variations (eg, noise and perturbation) and uncertain conditions. The Karush-Kuhn-Tucker (KKT) method is used for solving bi-level programming. The obtained results reveal that the incorporation of uncertainties can enhance energy generation and supplier's profit. Furthermore, the objective functions of the proposed model are compared with those under conditions without uncertainties. A sensitivity analysis of major parameters is performed to validate the proposed model. By increasing uncertainty, generated energy decrease, and supplier's profit increase. The supplier's profit gradually diminishes by raising the discounting rate. Moreover, as scale of problems increases, the generated energy and supplier's profit are boosted.

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Section: A Blp Of Relmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Robust bi‐level programming for renewable energy location

2021

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“…Numerous investigations have shown that the exploitation of the tidal stream resource could significantly impact the sediment transport and hydrodynamics in the regions surrounding tidal energy sites [60,64]. Examples of impact assessment studies can be found in the Pentland Firth [65,66], in the Bay of Fundy, Gulf of Maine [67], the Fromveur Strait, France [68], and the AR [17,22,60]. In these regional-scale studies, the effect of arrays is generally represented in numerical models through the inclusion of an additional momentum sink term in the momentum equations (either 2D or 3D) which exerts, on the flow, a force that is equivalent to the thrust (and also the drag in several studies) of the turbines.…”

Section: Impacts Of Tidal Turbines On Physical Conditionsmentioning

confidence: 99%

Numerical modelling of hydrodynamics and tidal energy extraction in the Alderney Race: a review

Thiebot

Coles

Bennis

et al. 2020

Phil. Trans. R. Soc. A.

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The tides are a predictable, renewable, source of energy that, if harnessed, can provide significant levels of electricity generation. The Alderney Race (AR), with current speeds that exceed 5 m s −1 during spring tides, is one of the most concentrated regions of tidal energy in the world, with the upper-bound resource estimated at 5.1 GW. Owing to its significance, the AR is frequently used for model case studies of tidal energy conversion, and here we review these model applications and outcomes. We examine a range of temporal and spatial modelling scales, from regional models applied to resource assessment and characterization, to more detailed models that include energy extraction and array optimization. We also examine a range of physical processes that influence the tidal energy resource, including the role of waves and turbulence in tidal energy resource assessment and loadings on turbines. The review discusses model validation, and covers a range of numerical modelling approaches, from two-dimensional to three-dimensional tidal models, two-way coupled wave-tide models, Large Eddy Simulation (LES) models, and the application of optimization techniques. The review contains guidance on model approaches and sources of data that can be used for future studies of the AR, or translated to other tidal energy regions. This article is part of the theme issue ‘New insights on tidal dynamics and tidal energy harvesting in the Alderney Race’.

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“…Today, 630 tidal harmonic constituents (Simon and Page, 2017) have been identified and can be used to mathematically solve, model, and predict the propagation of modern tides, although far fewer constituents are normally used for predictions at specific locations (e.g. Fang et al, 1999;Hess, 2003;Ashall et al, 2016;Kresning et al, 2019;Mulligan et al, 2019a). Of these, the semidiurnal M2-lunar constituent is commonly the most important of them all, which, when combined with the strongest solar constituent S2, causes these neap-spring tidal cycles (Parker, 2007) that Posidonius (and Pytheas) observed centuries ago.…”

Section: Introductionmentioning

confidence: 99%

Tidal dynamics in palaeo-seas in response to changes in bathymetry, tidal forcing, and bed shear stress

Zuchuat¹,

Steel²,

Mulligan³

et al. 2020

Preprint

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Simulating hydrodynamic conditions in palaeo-ocean basins is needed to better understand the effects of tidal forcing on the sedimentary record. When combined with sedimentary analyses, hydrodynamic modelling can help inform complex temporal and spatial variability in the sediment distribution of tide-dominated palaeo-ocean basins. Herein, palaeotidal modelling of the epicontinental Upper Jurassic (160 Ma, lower Oxfordian) Sundance and Curtis seas of North America reveals possible regional-scale variations in tidal dynamics in response to changes in ocean tidal forcing, physiographic configuration and bottom drag coefficient. A numerical model forced with an M2 tidal constituent at the open boundary shows that the magnitude and location of tidal amplification, and the variability in current velocity and bed shear stress in the basin, were controlled by palaeophysiography. Numerical results obtained using a depth of 600 m at the ocean boundary of the system enable the prediction of major facies trends observed in the lower Curtis Formation. The simulation results also highlight that certain palaeophysiographic configurations can either permit or prevent tidal resonance, leading to an overall amplification or dampening of tides across the basin. Furthermore, some palaeophysiographic configurations generated additional tidal harmonics in specific parts of the basins. Consequently, similar sedimentary successions can emerge from a variety of relative sea-level scenarios, and a variety of sedimentary successions may be deposited in different parts of the basin in any given relative sea-level scenario. These results suggest that the interpretation of sedimentary successions deposited in strongly tide-influenced basins should consider changes in tidal dynamics in response to changing sea level and basin physiography.

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The impacts of tidal energy development and sea-level rise in the Gulf of Maine

Cited by 25 publications

References 47 publications

Robust bi‐level programming for renewable energy location

Robust bi‐level programming for renewable energy location

Numerical modelling of hydrodynamics and tidal energy extraction in the Alderney Race: a review

Tidal dynamics in palaeo-seas in response to changes in bathymetry, tidal forcing, and bed shear stress

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