Imperial College London
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Dr Charalampos (Harry) Triantafyllidis

Faculty of Medicine, School of Public Health

Honorary Research Associate
 
 
 
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Contact

 

c.triantafyllidis CV

 
 
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Location

 

16 South Wharf RoadSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Triantafyllidis:2018:10.1016/j.envsoft.2017.11.034,
author = {Triantafyllidis, CP and Koppelaar, RHEM and Wang, X and van, Dam KH and Shah, N},
doi = {10.1016/j.envsoft.2017.11.034},
journal = {Environmental Modelling and Software},
pages = {146--168},
title = {An integrated optimisation platform for sustainable resource and infrastructure planning},
url = {http://dx.doi.org/10.1016/j.envsoft.2017.11.034},
volume = {101},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - It is crucial for sustainable planning to consider broad environmental and social dimensions and systemic implications of new infrastructure to build more resilient societies, reduce poverty, improve human well-being, mitigate climate change and address other global change processes. This article presents resilience.io, 2 a platform to evaluate new infrastructure projects by assessing their design and effectiveness in meeting growing resource demands, simulated using Agent-Based Modelling due to socio-economic population changes. We then use Mixed-Integer Linear Programming to optimise a multi-objective function to find cost-optimal solutions, inclusive of environmental metrics such as greenhouse gas emissions. The solutions in space and time provide planning guidance for conventional and novel technology selection, changes in network topology, system costs, and can incorporate any material, waste, energy, labour or emissions flow. As an application, a use case is provided for the Water, Sanitation and Hygiene (WASH) sector for a four million people city-region in Ghana.
AU  - Triantafyllidis,CP
AU  - Koppelaar,RHEM
AU  - Wang,X
AU  - van,Dam KH
AU  - Shah,N
DO  - 10.1016/j.envsoft.2017.11.034
EP  - 168
PY  - 2018///
SN  - 1364-8152
SP  - 146
TI  - An integrated optimisation platform for sustainable resource and infrastructure planning
T2  - Environmental Modelling and Software
UR  - http://dx.doi.org/10.1016/j.envsoft.2017.11.034
UR  - http://hdl.handle.net/10044/1/56163
VL  - 101
ER  -
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