Imperial College London
Portrait Picture

Dr Koen H. van Dam

Faculty of Engineering, Department of Chemical Engineering

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 5705k.van-dam Website

 
 
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Location

 

453AACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Liu:2018:10.1016/B978-0-444-64235-6.50255-2,
author = {Liu, M and van, Dam KH and Pantaleo, AM and Guo, M},
doi = {10.1016/B978-0-444-64235-6.50255-2},
pages = {1463--1468},
publisher = {Elsevier},
title = {Optimisation of integrated bioenergy and concentrated solar power supply chains in South Africa},
url = {http://dx.doi.org/10.1016/B978-0-444-64235-6.50255-2},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Climate change and energy security are complex challenges whose solutions depend on multi-faceted interactions between different actors and socio-economic contexts. Energy innovation through integration of renewable energies in existing systems offers a partial solution, with high potential identified for bioenergy and solar energy. In South Africa there is potential to further integrate renewable energies to meet local demands and conditions. Various concentrated solar power (CSP) projects are in place, but there is still land available to generate electricity from the sun. In combination with sustainable biomass resources these can offer synergetic benefits in improving the power generation’s flexibility. While thermodynamic and thermo-economic modelling for hybrid CSP-Biomass technology have been proposed, energy modelling in the realm of supply chains and demand/supply dynamics has not been studied sufficiently.We present a spatially and temporally Mixed Integer Linear Programming (MILP) model, to optimize the choice and location of technologies in terms of economic cost while being characterised by realistic supply/demand constraints as well as spatially-explicit environmental constraints. The model is driven by electricity demand, resource availability and technology costs as it aspires to emulate key energy and sustainability issues. A case study in the South African province of Gauteng was implemented over 2015-2050 to highlight the potential and challenges for hybrid CSP-Biomass and integrated systems assessment and the applicability of the modelling approach.From the range of hybrid CSP-Biomass technologies considered, based on detailed techno-economic characteristics from the literature, the Biomass only EFGT plant is identified as the cost optimal. When distributed generation (DG) technologies, small-scale Solar PV and Wind Turbines were introduced to the model as a competing alternative, they were demonstrated to be more economically optimal (&eur
AU  - Liu,M
AU  - van,Dam KH
AU  - Pantaleo,AM
AU  - Guo,M
DO  - 10.1016/B978-0-444-64235-6.50255-2
EP  - 1468
PB  - Elsevier
PY  - 2018///
SN  - 1570-7946
SP  - 1463
TI  - Optimisation of integrated bioenergy and concentrated solar power supply chains in South Africa
UR  - http://dx.doi.org/10.1016/B978-0-444-64235-6.50255-2
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000441374200255&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/77494
ER  -
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