Imperial College London
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DrMichel-AlexandreCardin

Faculty of Engineering, Dyson School of Design Engineering

Senior Lecturer in Computational Aided Engineering
 
 
 
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Contact

 

+44 (0)20 7594 1893m.cardin Website CV

 
 
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Location

 

Royal College of Science Observatory Building, Room 1M03Dyson BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Kuznetsova:2019:10.1016/j.rser.2018.12.020,
author = {Kuznetsova, E and Cardin, M-A and Diao, M and Zhang, S},
doi = {10.1016/j.rser.2018.12.020},
journal = {Renewable and Sustainable Energy Reviews},
pages = {477--500},
title = {Integrated decision-support methodology for combined centralized-decentralized waste-to-energy management systems design},
url = {http://dx.doi.org/10.1016/j.rser.2018.12.020},
volume = {103},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The rapid expansion of urban populations and concomitant increase in the generation of municipal solid waste (MSW) exert considerable pressure on the conventional centralized MSW management system and are beginning to exceed disposal capacities. To tackle this issue, the conventional centralized MSW management system is more likely to evolve toward a more decentralized system with smaller capacity waste treatment facilities that are integrated at different levels of the urban environment, e.g., buildings, districts, and municipalities. In addition, MSW can become an important urban resource to address the rising energy consumption through waste-to-energy (WTE) technologies capable of generating electricity, heat, and biogas. This shift toward the combined centralized-decentralized waste-to-energy management system (WtEMS) requires an adapted decision-support methodology (DSM) that can assist decision-makers in analyzing MSW generation across large urban territories and designing optimal long-term WtEMS. The proposed integrated DSM for WtEMS planning relies on: i) an MSW segregation and prediction methodology, ii) an optimization methodology for the deployment of multi-level urban waste infrastructure combining centralized and decentralized facilities, and iii) a multi-criterion sustainability framework for WtEMS assessment. The proposed DSM was tested on a case study that was located in Singapore. The proposed WtEMS not only reduced the total operational expenses by about 50%, but also increased revenues from electricity recovery by two times in comparison with the conventional MSW management system. It also allowed more optimal land use (capacity-land fragmentation was reduced by 74.8%) and reduced the size of the required transportation fleet by 15.3% in comparison with the conventional MSW system. The Global Warming Potential (GWP) was improved by about 18.7%.
AU  - Kuznetsova,E
AU  - Cardin,M-A
AU  - Diao,M
AU  - Zhang,S
DO  - 10.1016/j.rser.2018.12.020
EP  - 500
PY  - 2019///
SN  - 1364-0321
SP  - 477
TI  - Integrated decision-support methodology for combined centralized-decentralized waste-to-energy management systems design
T2  - Renewable and Sustainable Energy Reviews
UR  - http://dx.doi.org/10.1016/j.rser.2018.12.020
UR  - http://www.sciencedirect.com/science/article/pii/S1364032118308165
UR  - https://www.sciencedirect.com/science/article/pii/S1364032118308165
UR  - http://hdl.handle.net/10044/1/66759
VL  - 103
ER  -
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