A Decision Support System for Decommissioning of Offshore Windfarms: The Data Platform

Alireza Maheri; Shahin Jalili Dargalusani

doi:10.1109/EFEA49713.2021.9406248

A Decision Support System for Decommissioning of Offshore Windfarms: The Data Platform

Alireza Maheri, Shahin Jalili Dargalusani

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

4 Citations (Scopus)

5 Downloads (Pure)

Abstract

This paper presents a data protocol for storing the information which are required for the planning of windfarms decommissioning. The data protocol is the base of a decision support system software tool which allows its user to define various decommissioning scenarios and to evaluate them against cost, risk, and environmental impact measures. The protocol categorises the data into four categories, namely, windfarm, site, logistics and legislations. It is generic, flexible, expandable and easy to handle by the software and its user. The capabilities of the data protocol have been illustrated through a number of examples.

Original language	English
Title of host publication	6th International Symposium on Environment Friendly Energies and Applications
Editors	Radostina A. Angelova, Rositsa Velichkova
Publisher	IEEE Explore
Number of pages	6
ISBN (Electronic)	978-1-7281-7011-4
ISBN (Print)	978-1-7281-7012-1
DOIs	https://doi.org/10.1109/EFEA49713.2021.9406248
Publication status	Published - 21 Apr 2021
Event	6th International Symposium on Environment Friendly Energies and Applications - Vitosha Park Hotel/Technical University of Sofia, Sofia, Bulgaria Duration: 24 Mar 2021 → 26 Mar 2021 Conference number: 6th http://efeaconf.com/

Publication series

Name
ISSN (Print)	2641-5925
ISSN (Electronic)	2688-2558

Conference

Conference	6th International Symposium on Environment Friendly Energies and Applications
Abbreviated title	EFEA 2021
Country/Territory	Bulgaria
City	Sofia
Period	24/03/21 → 26/03/21
Internet address	http://efeaconf.com/

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This paper is based on the work undertaken for the project ‘Eco-innovative concepts for the end of offshore wind energy farms lifecycle’ (DecomTools). The project has received funding from the European Commission under the Interreg VB North Sea Region Programme

Keywords

decommissioning
removal
offshore wind
windfarm
decision support system
data protocol

Access to Document

10.1109/EFEA49713.2021.9406248Licence: Unspecified

Maheri_EFEA_2021_DecomDSS
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 422 KBLicence: Unspecified

Cite this

A Decision Support System for Decommissioning of Offshore Windfarms: The Data Platform. / Maheri, Alireza ; Jalili Dargalusani, Shahin.
6th International Symposium on Environment Friendly Energies and Applications. ed. / Radostina A. Angelova; Rositsa Velichkova. IEEE Explore, 2021. 9406248.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Maheri, A & Jalili Dargalusani, S 2021, A Decision Support System for Decommissioning of Offshore Windfarms: The Data Platform. in RA Angelova & R Velichkova (eds), 6th International Symposium on Environment Friendly Energies and Applications., 9406248, IEEE Explore, 6th International Symposium on Environment Friendly Energies and Applications, Sofia, Bulgaria, 24/03/21. https://doi.org/10.1109/EFEA49713.2021.9406248

@inproceedings{45c2bb2150a84fbbb442f8ae11c829d9,

title = "A Decision Support System for Decommissioning of Offshore Windfarms: The Data Platform",

abstract = "This paper presents a data protocol for storing the information which are required for the planning of windfarms decommissioning. The data protocol is the base of a decision support system software tool which allows its user to define various decommissioning scenarios and to evaluate them against cost, risk, and environmental impact measures. The protocol categorises the data into four categories, namely, windfarm, site, logistics and legislations. It is generic, flexible, expandable and easy to handle by the software and its user. The capabilities of the data protocol have been illustrated through a number of examples.",

keywords = "decommissioning, removal, offshore wind, windfarm, decision support system, data protocol",

author = "Alireza Maheri and {Jalili Dargalusani}, Shahin",

note = "Funding Information: ACKNOWLEDGMENT This paper is based on the work undertaken for the project {\textquoteleft}Eco-innovative concepts for the end of offshore wind energy farms lifecycle{\textquoteright} (DecomTools). The project has received funding from the European Commission under the Interreg VB North Sea Region Programme; 6th International Symposium on Environment Friendly Energies and Applications, EFEA 2021 ; Conference date: 24-03-2021 Through 26-03-2021",

year = "2021",

month = apr,

day = "21",

doi = "10.1109/EFEA49713.2021.9406248",

language = "English",

isbn = "978-1-7281-7012-1",

publisher = "IEEE Explore",

editor = "Angelova, {Radostina A.} and Rositsa Velichkova",

booktitle = "6th International Symposium on Environment Friendly Energies and Applications",

url = "http://efeaconf.com/",

}

TY - GEN

T1 - A Decision Support System for Decommissioning of Offshore Windfarms

T2 - 6th International Symposium on Environment Friendly Energies and Applications

AU - Maheri, Alireza

AU - Jalili Dargalusani, Shahin

N1 - Conference code: 6th

PY - 2021/4/21

Y1 - 2021/4/21

N2 - This paper presents a data protocol for storing the information which are required for the planning of windfarms decommissioning. The data protocol is the base of a decision support system software tool which allows its user to define various decommissioning scenarios and to evaluate them against cost, risk, and environmental impact measures. The protocol categorises the data into four categories, namely, windfarm, site, logistics and legislations. It is generic, flexible, expandable and easy to handle by the software and its user. The capabilities of the data protocol have been illustrated through a number of examples.

AB - This paper presents a data protocol for storing the information which are required for the planning of windfarms decommissioning. The data protocol is the base of a decision support system software tool which allows its user to define various decommissioning scenarios and to evaluate them against cost, risk, and environmental impact measures. The protocol categorises the data into four categories, namely, windfarm, site, logistics and legislations. It is generic, flexible, expandable and easy to handle by the software and its user. The capabilities of the data protocol have been illustrated through a number of examples.

KW - decommissioning

KW - removal

KW - offshore wind

KW - windfarm

KW - decision support system

KW - data protocol

UR - http://www.scopus.com/inward/record.url?scp=85105331168&partnerID=8YFLogxK

U2 - 10.1109/EFEA49713.2021.9406248

DO - 10.1109/EFEA49713.2021.9406248

M3 - Published conference contribution

SN - 978-1-7281-7012-1

BT - 6th International Symposium on Environment Friendly Energies and Applications

A2 - Angelova, Radostina A.

A2 - Velichkova, Rositsa

PB - IEEE Explore

Y2 - 24 March 2021 through 26 March 2021

ER -

A Decision Support System for Decommissioning of Offshore Windfarms: The Data Platform

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Informing decommissioning strategies in the UK

Cite this

A Decision Support System for Decommissioning of Offshore Windfarms: The Data Platform

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Impacts

Informing decommissioning strategies in the UK

Cite this