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An optimisation framework for the strategic design of synthetic natural gas (BioSNG) supply chains

Calderon, AJ; Agnolucci, P; Papageorgiou, LG; (2017) An optimisation framework for the strategic design of synthetic natural gas (BioSNG) supply chains. Applied Energy , 187 pp. 929-955. 10.1016/j.apenergy.2016.10.074. Green open access

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Abstract

A general optimisation framework based on a spatially-explicit multiperiod mixed integer linear programming (MILP) model is proposed to address the strategic design of BioSNG supply chains. The framework considers procurement of feedstocks, plantation of energy crops, and different modes for transportation of feedstocks and final products. The mathematical framework allows researches and policy makers to investigate scenarios that promote the development of BioSNG supply chains in a regional and/or national context. The capabilities of the proposed model are illustrated through the implementation of a set of case studies based on the UK. The results revealed that domestic resources in the UK can supply up to 21.4% of the total gas demand projected by the UK National Grid in the scenario “Slow progression” for a planning horizon of 20 years. However, despite the considerable potential for production of BioSNG, the role of the government through subsidisation schemes such as feed-in tariff and Renewable Obligation Certificates (ROCs) is crucial in order to make the development of these resources economically attractive for private sectors.

Type: Article
Title: An optimisation framework for the strategic design of synthetic natural gas (BioSNG) supply chains
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.apenergy.2016.10.074
Publisher version: https://doi.org/10.1016/j.apenergy.2016.10.074
Language: English
Additional information: © 2016 Elsevier Ltd. All rights reserved. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & Technology, Technology, Energy & Fuels, Engineering, Chemical, Engineering, Mixed integer linear programming, BioSNG supply chains, Feed-in tariffs, Renewable obligation certificates, Renewable resources, Lignocellulosic Biomass, Technology Selection, Optimal Location, Energy-Systems, Great-Britain, To-Liquid, Bioenergy, Model, Gasification, NG
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/1573850
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