Implementing land-use and ecosystem service effects into an integrated bioenergy value chain optimisation framework
Implementing land-use and ecosystem service effects into an integrated bioenergy value chain optimisation framework
This study presents a multi-objective optimisation model that is configured to account for a range of interrelated or conflicting questions with regard to the introduction of bioenergy systems. A spatial-temporal mixed integer linear programming model ETI-BVCM (Energy Technologies Institute – Bioenergy Value Chain Model) (ETI, 2015b, Newton-Cross, 2015 and Samsatli et al., 2015) was adopted and extended to incorporate resource-competing systems and effects on ecosystem services brought about by the land-use transitions in response to increasing bioenergy penetration over five decades. The extended model functionality allows exploration of the effects of constraining ecosystem services impacts on other system-wide performance measures such as cost or greenhouse gas emissions. The users can therefore constrain the overall model by metric indicators which quantify the changes of ecosystem services due to land use transitions. The model provides a decision-making tool for optimal design of bioenergy value chains supporting an economically and land-use efficient and environmentally sustainable UK energy system while still delivering multiple ecosystem services.
optimisation, MILP, bioenergy supply chain, ecosystem services, food production, non-energy system
392-406
Guo, Miao
9af22811-d964-401d-b142-ab98b651daa0
Richter, Goetz M.
7324bbb4-2826-4caf-8643-e288bc084436
Holland, Robert A.
9c245e65-06bb-4b0e-8214-2b00ad2a47df
Eigenbrod, Felix
43efc6ae-b129-45a2-8a34-e489b5f05827
Shah, Nilay
bd4778d7-964d-4a5d-919b-9bb105833005
4 August 2016
Guo, Miao
9af22811-d964-401d-b142-ab98b651daa0
Richter, Goetz M.
7324bbb4-2826-4caf-8643-e288bc084436
Holland, Robert A.
9c245e65-06bb-4b0e-8214-2b00ad2a47df
Eigenbrod, Felix
43efc6ae-b129-45a2-8a34-e489b5f05827
Shah, Nilay
bd4778d7-964d-4a5d-919b-9bb105833005
Guo, Miao, Richter, Goetz M., Holland, Robert A., Eigenbrod, Felix, Taylor, Gail and Shah, Nilay
(2016)
Implementing land-use and ecosystem service effects into an integrated bioenergy value chain optimisation framework.
[in special issue: 12th International Symposium on Process Systems Engineering & 25th European Symposium of Computer Aided Process Engineering (PSE-2015/ESCAPE-25), 31 May - 4 June 2015, Copenhagen, Denmark]
Computers and Chemical Engineering, 91, .
(doi:10.1016/j.compchemeng.2016.02.011).
Abstract
This study presents a multi-objective optimisation model that is configured to account for a range of interrelated or conflicting questions with regard to the introduction of bioenergy systems. A spatial-temporal mixed integer linear programming model ETI-BVCM (Energy Technologies Institute – Bioenergy Value Chain Model) (ETI, 2015b, Newton-Cross, 2015 and Samsatli et al., 2015) was adopted and extended to incorporate resource-competing systems and effects on ecosystem services brought about by the land-use transitions in response to increasing bioenergy penetration over five decades. The extended model functionality allows exploration of the effects of constraining ecosystem services impacts on other system-wide performance measures such as cost or greenhouse gas emissions. The users can therefore constrain the overall model by metric indicators which quantify the changes of ecosystem services due to land use transitions. The model provides a decision-making tool for optimal design of bioenergy value chains supporting an economically and land-use efficient and environmentally sustainable UK energy system while still delivering multiple ecosystem services.
Text
1-s2.0-S0098135416300357-main.pdf
- Version of Record
More information
Accepted/In Press date: 12 February 2016
e-pub ahead of print date: 9 March 2016
Published date: 4 August 2016
Keywords:
optimisation, MILP, bioenergy supply chain, ecosystem services, food production, non-energy system
Organisations:
Environmental
Identifiers
Local EPrints ID: 390681
URI: http://eprints.soton.ac.uk/id/eprint/390681
ISSN: 0098-1354
PURE UUID: 060677db-4db4-4469-901d-29cc1c5f767b
Catalogue record
Date deposited: 06 Apr 2016 11:57
Last modified: 15 Mar 2024 03:43
Export record
Altmetrics
Contributors
Author:
Miao Guo
Author:
Goetz M. Richter
Author:
Gail Taylor
Author:
Nilay Shah
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics