Imperial College London
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DrGonzaloGuillén-Gosálbez

Faculty of Engineering, Department of Chemical Engineering

Visiting Professor
 
 
 
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Contact

 

g.guillen05

 
 
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Location

 

ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Guillen:2016:10.1016/j.compchemeng.2016.04.022,
author = {Guillen, Gosalbez G and Galán-Martín, A and Stamford, L and Azapagic, A},
doi = {10.1016/j.compchemeng.2016.04.022},
journal = {Computers & Chemical Engineering},
pages = {188--200},
title = {Enhanced data envelopment analysis for sustainability assessment: a novel methodology and application to electricity technologies},
url = {http://dx.doi.org/10.1016/j.compchemeng.2016.04.022},
volume = {90},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Quantifying the level of sustainability attained by a system is a challenging task due to the need to consider a wide range of economic, environmental and social aspects simultaneously. This work explores the application of data envelopment analysis (DEA) to evaluate the sustainability ‘efficiency’ of a system. We propose an enhanced DEA methodology that uses the concept of ‘order of efficiency’ to compare and rank alternatives according to the extent to which they adhere to sustainability principles. The capabilities of the proposed approach are illustrated through a sustainability assessment of different technologies for electricity generation in United Kingdom. In addition to screening the alternatives based on sustainability principles, enhanced DEA provides improvement targets for the least sustainable alternatives that, if achieved, would make them more sustainable. The enhanced DEA shows clearly the ultimate distance to sustainability, helping industry and policy makers to improve the efficiency of technologies, products and policies.
AU  - Guillen,Gosalbez G
AU  - Galán-Martín,A
AU  - Stamford,L
AU  - Azapagic,A
DO  - 10.1016/j.compchemeng.2016.04.022
EP  - 200
PY  - 2016///
SN  - 0098-1354
SP  - 188
TI  - Enhanced data envelopment analysis for sustainability assessment: a novel methodology and application to electricity technologies
T2  - Computers & Chemical Engineering
UR  - http://dx.doi.org/10.1016/j.compchemeng.2016.04.022
UR  - http://hdl.handle.net/10044/1/32965
VL  - 90
ER  -
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