A framework for determining improved placement of current energy converters subject to environmental constraints

A modelling framework identifies deployment locations for current-energy-capture devices that maximise power output while minimising potential environmental impacts. The framework, based on the Environmental Fluid Dynamics Code, can incorporate site-specific environmental constraints. Over a 29-day...

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Published inInternational journal of sustainable energy Vol. 37; no. 7; pp. 654 - 668
Main Authors Nelson, Kurt, James, Scott C., Roberts, Jesse D., Jones, Craig
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis Ltd 09.08.2018
Taylor & Francis
Taylor & Francis Group
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ISSN1478-6451
1478-646X
DOI10.1080/14786451.2017.1334654

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Abstract A modelling framework identifies deployment locations for current-energy-capture devices that maximise power output while minimising potential environmental impacts. The framework, based on the Environmental Fluid Dynamics Code, can incorporate site-specific environmental constraints. Over a 29-day period, energy outputs from three array layouts were estimated for: (1) the preliminary configuration (baseline), (2) an updated configuration that accounted for environmental constraints, (3) and an improved configuration subject to no environmental constraints. Of these layouts, array placement that did not consider environmental constraints extracted the most energy from flow (4.38 MW-hr/day), 19% higher than output from the baseline configuration (3.69 MW-hr/day). Array placement that considered environmental constraints removed 4.27 MW-hr/day of energy (16% more than baseline). This analysis framework accounts for bathymetry and flow-pattern variations that typical experimental studies cannot, demonstrating that it is a valuable tool for identifying improved array layouts for field deployments.
AbstractList A modelling framework identifies deployment locations for current-energy-capture devices that maximise power output while minimising potential environmental impacts. The framework, based on the Environmental Fluid Dynamics Code, can incorporate site-specific environmental constraints. Over a 29-day period, energy outputs from three array layouts were estimated for: (1) the preliminary configuration (baseline), (2) an updated configuration that accounted for environmental constraints, (3) and an improved configuration subject to no environmental constraints. Of these layouts, array placement that did not consider environmental constraints extracted the most energy from flow (4.38 MW-hr/day), 19% higher than output from the baseline configuration (3.69 MW-hr/day). Array placement that considered environmental constraints removed 4.27 MW-hr/day of energy (16% more than baseline). This analysis framework accounts for bathymetry and flow-pattern variations that typical experimental studies cannot, demonstrating that it is a valuable tool for identifying improved array layouts for field deployments.
A modelling framework identifies deployment locations for current-energy-capture devices that maximise power output while minimising potential environmental impacts. The framework, based on the Environmental Fluid Dynamics Code, can incorporate site-specific environmental constraints. Over a 29-day period, energy outputs from three array layouts were estimated for: (1) the preliminary configuration (baseline), (2) an updated configuration that accounted for environmental constraints, (3) and an improved configuration subject to no environmental constraints. Of these layouts, array placement that did not consider environmental constraints extracted the most energy from flow (4.38 MW-hr/day), 19% higher than output from the baseline configuration (3.69 MW-hr/day). Array placement that considered environmental constraints removed 4.27 MW-hr/day of energy (16% more than baseline). In conclusion, this analysis framework accounts for bathymetry and flow-pattern variations that typical experimental studies cannot, demonstrating that it is a valuable tool for identifying improved array layouts for field deployments.
Author Roberts, Jesse D.
James, Scott C.
Nelson, Kurt
Jones, Craig
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Snippet A modelling framework identifies deployment locations for current-energy-capture devices that maximise power output while minimising potential environmental...
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SubjectTerms array layout subject to environmental constraints
Bathymetry
Computational fluid dynamics
Configurations
Constraints
Converters
current-energy conversion
Environment models
Environmental impact
ENVIRONMENTAL SCIENCES
Fluid dynamics
Hydrodynamics
Marine renewable energy
modelling
Placement
TIDAL AND WAVE POWER
Title A framework for determining improved placement of current energy converters subject to environmental constraints
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