Implementing land-use and ecosystem service effects into an integrated bioenergy value chain optimisation framework
File(s)
Published version
Supporting information
Author(s)
Type
Journal Article
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, 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.
Date Issued
2016-08-04
Date Acceptance
2016-02-12
Citation
Computers and Chemical Engineering, 2016, 91 (1), pp.392-406
ISSN
0098-1354
Publisher
Elsevier
Start Page
392
End Page
406
Journal / Book Title
Computers and Chemical Engineering
Volume
91
Issue
1
Copyright Statement
© 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/).
(http://creativecommons.org/licenses/by/4.0/).
License URL
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://www.sciencedirect.com/science/article/pii/S0098135416300357
Grant Number
EP/K036734/1
Subjects
Science & Technology
Technology
Computer Science, Interdisciplinary Applications
Engineering, Chemical
Computer Science
Engineering
Optimisation
MILP
Bioenergy supply chain
Ecosystem services
Food production
Non-energy system
CLIMATE-CHANGE
SUPPLY CHAINS
MULTIOBJECTIVE OPTIMIZATION
BIOMASS
BIOFUEL
MODEL
INDUSTRY
DESIGN
GROWTH
YIELDS
Chemical Engineering
0904 Chemical Engineering
0913 Mechanical Engineering
Publication Status
Published
Date Publish Online
2016-03-09