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Knowledge Capture - AWS Ocean Energy Ltd

Programme

Knowledge Capture

Status

Completed

Lead contractor

AWS Ocean Energy Ltd

Overview

These reports were produced for Wave Energy Scotland (WES) by AWS Ocean Energy Ltd as a contribution to ‘Project Know-How’. ‘Project Know-How’ is an on-going body of work by WES, designed to capture knowledge and key operational experiences from the wave energy sector in Scotland, and in particular the technology development companies based here. This experience is being shared, to avoid others having to go through the same learning exercise.

The AWS Ocean Energy reports cover the experience gained by AWS on a variety of wave energy projects, and discuss some of the drivers for technology decisions during their device development process. The Overview document provides a brief synopsis of the documents produced to act as a ‘sign post’ for the reader.

Note that additional reports, documents and data files referenced here and in the deliverables may not be currently available.

Details of the AWS project within the Novel Wave Energy Converter programme are available here

Overview

April 2016

This brief report prepared by Wave Energy Scotland (WES) summarises the Knowledge Capture documents produced by AWS Ocean Energy.

The AWS Ocean Energy reports cover the experience gained by AWS on a variety of wave energy projects, and discuss some of the drivers for technology decisions during their device development process.

This report provides a brief synopsis of the documents produced to act as a ‘sign post’ for the reader. A table in Section 8 gives details of the deliverables available from the project.

Note that additional reports, documents and data files referenced here and in the deliverables may not be currently available.

Development Experience

April 2016

The report was produced in August 2015 and reviews the experience of AWS Ocean Energy Ltd from May 2004 to the time of writing. It also references the earlier experiences gained from the work by Teamwork Technology (Netherlands) in the initial development of the Archimedes Waveswing™ in the period from 1994 to 2004.

The report is intended to give an overview of the development experience and the key decisions and to provide a signpost to more detailed technical information so that the industry may be aware of the existence of the work of AWS Ocean Energy Ltd and therefore avoid repetition and promote future collaboration.

Waveswing

April 2016

The purpose of this report is to provide a description of the current design for the Waveswing™ technology (now known as Waveswing™ MK IV) and to provide a TRL assessment of the major sub-systems, together with an assessment of AWS Ocean Energy’s confidence of achieving TRL 9 for that system. The report also provides an assessment of the overall TPL of the system.

This information is intended to provide a snap-shot of the current state-of-the-art in relation to the Waveswing™ technology.

This report is one of a suite of reports provided to WES and the reader is recommended to read AWS Ocean report 15-001 AWS Wave Power Development Experience to further understand the background to the development of the Archimedes Waveswing™ technology.

 

AWS III

April 2016

The purpose of this report is to provide a description of the current design for the AWS-III and to provide a TRL assessment of the major sub-systems, together with an assessment of AWS Ocean’s confidence of achieving TRL 9 for that system. The report also provides an assessment of the overall TPL of the system.

This information is intended to provide a snap-shot of the current state-of-the-art in relation to AWS-III technology.

This report is one of a suite of reports provided to WES and the reader is recommended to read AWS Ocean report 15-001 AWS Wave Power Development Experience to further understand the background to the development of the technology.

Electric Eel

April 2016

The purpose of this report is to provide a description of the current design for the Electric Eel and to provide a TRL assessment of the major sub-systems, together with an assessment of AWS Ocean Energy’s confidence of achieving TRL 9 for that system. The report also provides an assessment of the overall TPL of the system.

This information is intended to provide a snap-shot of the current state-of-the-art in relation to the Electric Eel technology.

This report is one of a suite of reports provided to WES and the reader is recommended to read AWS Ocean report 15-001 AWS Wave Power Development Experience to further understand the background to the development of the technology.

Self-Drilled Pile System

April 2016

The purpose of this report is to provide a description of the current design for the self-drilled pile system and to provide a TRL assessment of the major sub-systems, together with an assessment of AWS Ocean Energy’s confidence of achieving TRL 9 for that system. The report also provides an assessment of the overall TPL of the system.

This information is intended to provide a snap-shot of the current state-of-the-art in relation to the SDPS technology.

This report is one of a suite of reports provided to WES and the reader is recommended to read AWS Ocean report 15-001 AWS Wave Power Development Experience to further understand the background to the development of the technology.

Parametric Cost Modelling

April 2016

This report provides a description of the modelling techniques used by the AWS Ocean team when seeking to optimise the Archimedes Waveswing™ device in 2007. This early work is referenced as the results of the modelling exercise drove key decisions by AWS Ocean in relation to the Waveswing™ technology at that time. The report also provides a description of a generic modelling tool that has been provided to WES in order to illustrate the techniques used. This modelling tool (XL15-015r1 Example Parametric Model.xlsm) is also available for download.

This report is one of a suite of reports provided to WES and the reader is recommended to read AWS Ocean report to WES number 15-001 AWS Wave Power Development Experience to further understand the context within which this modelling work sits.