Fuel supplier selection for large scale UK bioenergy schemes

James A. Scott; William Ho; Prasanta K. Dey

doi:10.3384/ecp110571

Fuel supplier selection for large scale UK bioenergy schemes

James A. Scott
, William Ho
, Prasanta K. Dey

Research output: Chapter in Book/Published conference output › Conference publication

50 Citations (SciVal)

129 Downloads (Pure)

Abstract

This article presents a potential method to assist developers of future bioenergy schemes when selecting from available suppliers of biomass materials. The method aims to allow tacit requirements made on biomass suppliers to be considered at the design stage of new developments. The method used is a combination of the Analytical Hierarchy Process and the Quality Function Deployment methods (AHP-QFD). The output of the method is a ranking and relative weighting of the available suppliers which could be used to improve optimization algorithms such as linear and goal programming. The paper is at a conceptual stage and no results have been obtained. The aim is to use the AHP-QFD method to bridge the gap between treatment of explicit and tacit requirements of bioenergy schemes; allowing decision makers to identify the most successful supply strategy available.

Original language	English
Title of host publication	World Renewable Energy Congress 2011 - Sweden
Subtitle of host publication	8-13 May 2011, Linköping, Sweden
Place of Publication	Linköping (SE)
Pages	1-8
Number of pages	8
ISBN (Electronic)	978-91-7393-070-3
DOIs	https://doi.org/10.3384/ecp110571
Publication status	Published - 2011
Event	World Renewable Energy Congress - Linköping, Sweden Duration: 8 May 2011 → 13 May 2011

Publication series

Name	Linköping Electronic Conference Proceedings
Publisher	Linköping University Electronic Press
Number	57
Volume	1
ISSN (Print)	1650-3686
ISSN (Electronic)	1650-3740

Congress

Congress	World Renewable Energy Congress
Abbreviated title	WREC 2011
Country/Territory	Sweden
City	Linköping
Period	8/05/11 → 13/05/11

Bibliographical note

Creative Commons: Attribution-NonCommercial

Keywords

AHP
QFD
bioenergy
supplier selection

Access to Document

10.3384/ecp110571

Fuel supplier selection for large scale UK bioenergy schemesAccepted author manuscript, 643 KBLicence: CC BY-NC 3.0

http://www.ep.liu.se/ecp_article/index.en.aspx?issue=057;vol=1;article=001

Bioenergy decision support systems: worth the effort?
Wright, D., Dey, P., Brammer, J. & Hunt, P., 2011, World Renewable Energy Congress 2011 - Sweden: 8-13 May 2011, Linköping, Sweden. Linköping (SE), p. 9-16 8 p. 2. (Linköping Electronic Conference Proceedings; vol. 1, no. 57).
Research output: Chapter in Book/Published conference output › Conference publication

Open Access
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206 Downloads (Pure)
Enhanced renewable energy adoption for sustainable development in India: interpretive structural modeling approach
Eswarlal, V. K., Dey, P. K. & Shankar, R., 2011, World Renewable Energy Congress 2011 - Sweden: 8-13 May 2011, Linköping, Sweden. Linköping (SE), p. 351-358 8 p. 47. (Linköping Electronic Conference Proceedings; vol. 1, no. 57).
Research output: Chapter in Book/Published conference output › Conference publication

Open Access
File
140 Downloads (Pure)

Cite this

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title = "Fuel supplier selection for large scale UK bioenergy schemes",

abstract = "This article presents a potential method to assist developers of future bioenergy schemes when selecting from available suppliers of biomass materials. The method aims to allow tacit requirements made on biomass suppliers to be considered at the design stage of new developments. The method used is a combination of the Analytical Hierarchy Process and the Quality Function Deployment methods (AHP-QFD). The output of the method is a ranking and relative weighting of the available suppliers which could be used to improve optimization algorithms such as linear and goal programming. The paper is at a conceptual stage and no results have been obtained. The aim is to use the AHP-QFD method to bridge the gap between treatment of explicit and tacit requirements of bioenergy schemes; allowing decision makers to identify the most successful supply strategy available.",

keywords = "AHP, QFD, bioenergy, supplier selection",

author = "Scott, \{James A.\} and William Ho and Dey, \{Prasanta K.\}",

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year = "2011",

doi = "10.3384/ecp110571",

language = "English",

series = "Link{\"o}ping Electronic Conference Proceedings",

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booktitle = "World Renewable Energy Congress 2011 - Sweden",

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Fuel supplier selection for large scale UK bioenergy schemes. / Scott, James A.; Ho, William; Dey, Prasanta K.
World Renewable Energy Congress 2011 - Sweden: 8-13 May 2011, Linköping, Sweden. Linköping (SE), 2011. p. 1-8 1 (Linköping Electronic Conference Proceedings; Vol. 1, No. 57).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - Ho, William

AU - Dey, Prasanta K.

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AB - This article presents a potential method to assist developers of future bioenergy schemes when selecting from available suppliers of biomass materials. The method aims to allow tacit requirements made on biomass suppliers to be considered at the design stage of new developments. The method used is a combination of the Analytical Hierarchy Process and the Quality Function Deployment methods (AHP-QFD). The output of the method is a ranking and relative weighting of the available suppliers which could be used to improve optimization algorithms such as linear and goal programming. The paper is at a conceptual stage and no results have been obtained. The aim is to use the AHP-QFD method to bridge the gap between treatment of explicit and tacit requirements of bioenergy schemes; allowing decision makers to identify the most successful supply strategy available.

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KW - QFD

KW - bioenergy

KW - supplier selection

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DO - 10.3384/ecp110571

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Fuel supplier selection for large scale UK bioenergy schemes

Abstract

Publication series

Congress

Bibliographical note

Keywords

Access to Document

Fingerprint

Research output

Bioenergy decision support systems: worth the effort?

Enhanced renewable energy adoption for sustainable development in India: interpretive structural modeling approach

Cite this