Imperial College London

DrAdamHawkes

Faculty of EngineeringDepartment of Chemical Engineering

Reader in Energy Systems
 
 
 
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Contact

 

+44 (0)20 7594 9300a.hawkes

 
 
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Assistant

 

Ms Quasirat Hasnat +44 (0)20 7594 7250

 
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Location

 

C502Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Jalil:2017:10.1016/j.apenergy.2017.05.091,
author = {Jalil, Vega F and Hawkes, AD},
doi = {10.1016/j.apenergy.2017.05.091},
journal = {Applied Energy},
pages = {1051--1072},
title = {Spatially resolved model for studying decarbonisation pathways for heat supply and infrastructure trade-offs},
url = {http://dx.doi.org/10.1016/j.apenergy.2017.05.091},
volume = {210},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Heat decarbonisation is one of the main challenges of energy system decarbonisation. However, existing energy planning models struggle to compare heat decarbonisation approaches because they rarely capture trade-offs between heat supply, end-use technologies and network infrastructure at sufficient spatial resolution. A new optimisation model is presented that addresses this by including trade-offs between gas, electricity, and heat infrastructure, together with related supply and end-use technologies, with high spatial granularity. The model is applied in case studies for the UK. For the case modelled it is shown that electrification of heat is most cost-effective via district level heat pumps that supply heat networks, instead of individual building heat pumps. This is because the cost of reinforcing the electricity grid for installing individual heat pumps does not sufficiently offset heat infrastructure costs. This demonstrates the importance of considering infrastructure trade-offs. When modelling the utilisation of a decarbonised gas, the penetration of heat networks and location of district level heat supply technologies was shown to be dependent on linear heat density and on zone topology. This shows the importance of spatial aspects. Scenario-specific linear heat density thresholds for heat network penetration were identified. For the base case, penetration of high temperature heat networks was over 50% and 60% by 2050 for linear heat densities over 1500 and 2500 kWh/m. For the case when medium heat temperature networks were additionally available, a mix of both networks was observed. Medium temperature heat network penetration was over 20%, 30%, and 40% for linear heat densities of over 1500, 2500, and 3000 kWh/m, while high temperature heat network penetration was over 20% and 30% for linear heat densities of under 2000 and 1500 kWh/m respectively.
AU - Jalil,Vega F
AU - Hawkes,AD
DO - 10.1016/j.apenergy.2017.05.091
EP - 1072
PY - 2017///
SN - 1872-9118
SP - 1051
TI - Spatially resolved model for studying decarbonisation pathways for heat supply and infrastructure trade-offs
T2 - Applied Energy
UR - http://dx.doi.org/10.1016/j.apenergy.2017.05.091
UR - http://hdl.handle.net/10044/1/48513
VL - 210
ER -