Characterization of the logistic requirements for the marine renewable energy sector

Teillant, Boris; Chaínho, Paulo; Raventos, Alex; Sarmento, António; Jeffrey, Henry

doi:10.1201/b18973-139

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Activities, such as piling and cable burial, have specific speeds that are highly dependent on the seabed geology. In the Logistics and Marine Operations module, the piling and cable burial speeds were compiled and adapted from the literature review carried in the original DTOcean project [45,49], for the considered soil types, as defined by Kervella, Y. [50].…”

Section: Definition Of Activity Sequencementioning

confidence: 99%

A Decision Support Tool for Long-Term Planning of Marine Operations in Ocean Energy Projects

Fonseca

Amaral

Chaínho

2021

JMSE

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Ocean energy is a relevant source of clean renewable energy, and as it is still facing challenges related to its above grid-parity costs, tariffs intended to support in a structured and coherent way are of great relevance and potential impact. The logistics and marine operations required for installing and maintaining these systems are major cost drivers of marine renewable energy projects. Planning the logistics of marine energy projects is a highly complex and intertwined process, and to date, limited advances have been made in the development of decision support tools suitable for ocean energy farm design. The present paper describes the methodology of a novel, opensource, logistic and marine operation planning tool, integrated within DTOceanPlus suite of design tools, and responsible for producing logistic solutions comprised of optimal selections of vessels, port terminals, equipment, as well as operation plans, for ocean energy projects. Infrastructure selection logistic functions were developed to select vessels, ports, and equipment for specific projects. A statistical weather window model was developed to estimate operation delays due to weather. A vessel charter rate modeling approach, based on an in-house vessel database and industry experience, is described in detail. The overall operation assumptions and underlying operating principles of the statistical weather window model, maritime infrastructure selection algorithms, and cost modeling strategies are presented. Tests performed for a case study based a theoretical floating wave energy converter produced results in good agreement with reality.

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Section: Definition Of Activity Sequencementioning

confidence: 99%

A Decision Support Tool for Long-Term Planning of Marine Operations in Ocean Energy Projects

Fonseca

Amaral

Chaínho

2021

JMSE

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“…The techno-economic-IO model considers a wide variety of parameters, enabling the assessment of various locations, device types (and associated failure rates), farm layouts, materials, vessels and other variables. The details of the logistic model used to compute the techno-economic analysis can be found in [28,29], with techno-economic model outputs for the WETFEET project in [30]. Detailed CAPEX and OPEX entries are then passed to the IO model, along with other key variables, such as location, which directly influence the modelling work.…”

Section: Coupled Techno-economic-io Modelmentioning

confidence: 99%

Assessing the Macro-Economic Benefit of Installing a Farm of Oscillating Water Columns in Scotland and Portugal

et al. 2018

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The nascent wave energy sector has the potential to contribute significantly to global renewables targets, yet at present there are no proven commercially viable technologies. Macro-economic assessment is seldom used to assess wave energy projects, yet can provide insightful information on the wider economic benefits and can be used in conjunction with techno-economic analysis to inform policy makers, investors and funding bodies. Herein, we present a coupled techno–macro-economic model, which is used to assess the macro-economic benefit of installing a 5.25 MW farm of oscillating water column wave energy devices at two locations: Orkney in Scotland and Leixoes in Portugal. Through an input-output analysis, the wide-reaching macro-economic benefit of the prospective projects is highlighted; evidenced by the finding that all 29 industry sectors considered are either directly or indirectly stimulated by the project for both locations. Peak annual employment is expected to be 420 and 190 jobs in Portugal and Scotland respectively during the combined installation and manufacturing stage, with an associated peak annual GVA of over €16.6 m and €12.8 m. The discrepancies between the two locations is concluded to largely be a result of the site-specific attributes of the farm locations: specifically, increased water depth and distance to shore for the Portuguese site, resulting in higher costs associated with mooring and electrical cables and vessels. The insights gained through the presented results demonstrate the merit of macro-economic analysis for understanding the wider economic benefit of wave energy projects, while providing an understanding over key physical factors which will dominate estimated effects.

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Characterization of the logistic requirements for the marine renewable energy sector

Cited by 2 publications

References 3 publications

A Decision Support Tool for Long-Term Planning of Marine Operations in Ocean Energy Projects

A Decision Support Tool for Long-Term Planning of Marine Operations in Ocean Energy Projects

Assessing the Macro-Economic Benefit of Installing a Farm of Oscillating Water Columns in Scotland and Portugal

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