A Sustainability Index of potential co-location of offshore wind farms and open water aquaculture

G. Bennassai, Patrizio Mariani, Claus Stenberg, Mads Christoffersen

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

This paper presents the definition of a Sustainability Index for the co-location in marine areas of offshore wind farms and aquaculture plans. The development of the index is focused on the application of MCE technique based on physical constraints and biological parameters that are directly linked to the primary
production. The relevant physical factors considered are wind velocity and depth range (which directly governs the choice of the site for energy production and for offshore technology), the relevant biological parameters are SST, SST anomaly and CHL-a concentration (as a measurement of the productivity). The
further development of the technique, already used in open water aquaculture localization, consists in converting raw data into sustainability scores, which have been combined using additive models, in order to define the overall sustainability. The study area used to implement the computation of the
Sustainability Index (SI) was identified in the Danish portion of the Baltic Sea and in the western part of the Danish North Sea. Results on the spatial distribution of the SI underline different responses as a function of the physical and biological main influencing parameters
Original languageEnglish
JournalOcean & Coastal Management
Volume95
Pages (from-to)213-218
ISSN0964-5691
DOIs
Publication statusPublished - 2014

Cite this

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title = "A Sustainability Index of potential co-location of offshore wind farms and open water aquaculture",
abstract = "This paper presents the definition of a Sustainability Index for the co-location in marine areas of offshore wind farms and aquaculture plans. The development of the index is focused on the application of MCE technique based on physical constraints and biological parameters that are directly linked to the primaryproduction. The relevant physical factors considered are wind velocity and depth range (which directly governs the choice of the site for energy production and for offshore technology), the relevant biological parameters are SST, SST anomaly and CHL-a concentration (as a measurement of the productivity). Thefurther development of the technique, already used in open water aquaculture localization, consists in converting raw data into sustainability scores, which have been combined using additive models, in order to define the overall sustainability. The study area used to implement the computation of theSustainability Index (SI) was identified in the Danish portion of the Baltic Sea and in the western part of the Danish North Sea. Results on the spatial distribution of the SI underline different responses as a function of the physical and biological main influencing parameters",
author = "G. Bennassai and Patrizio Mariani and Claus Stenberg and Mads Christoffersen",
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publisher = "Elsevier",

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A Sustainability Index of potential co-location of offshore wind farms and open water aquaculture. / Bennassai, G.; Mariani, Patrizio; Stenberg, Claus; Christoffersen, Mads.

In: Ocean & Coastal Management, Vol. 95, 2014, p. 213-218.

Research output: Contribution to journalJournal articleResearchpeer-review

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AU - Bennassai, G.

AU - Mariani, Patrizio

AU - Stenberg, Claus

AU - Christoffersen, Mads

PY - 2014

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AB - This paper presents the definition of a Sustainability Index for the co-location in marine areas of offshore wind farms and aquaculture plans. The development of the index is focused on the application of MCE technique based on physical constraints and biological parameters that are directly linked to the primaryproduction. The relevant physical factors considered are wind velocity and depth range (which directly governs the choice of the site for energy production and for offshore technology), the relevant biological parameters are SST, SST anomaly and CHL-a concentration (as a measurement of the productivity). Thefurther development of the technique, already used in open water aquaculture localization, consists in converting raw data into sustainability scores, which have been combined using additive models, in order to define the overall sustainability. The study area used to implement the computation of theSustainability Index (SI) was identified in the Danish portion of the Baltic Sea and in the western part of the Danish North Sea. Results on the spatial distribution of the SI underline different responses as a function of the physical and biological main influencing parameters

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