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BibTex format

@article{Chu:2020:10.1016/j.renene.2020.06.104,
author = {Chu, C-T and Hawkes, AD},
doi = {10.1016/j.renene.2020.06.104},
journal = {Renewable Energy},
pages = {955--963},
title = {Optimal mix of climate-related energy in global electricity systems},
url = {http://dx.doi.org/10.1016/j.renene.2020.06.104},
volume = {160},
year = {2020}
}

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TY  - JOUR
AB - Existing studies on high renewable share electricity systems are usually based on least cost optimization. Running the related models can be time-consuming when space-time resolution is high. This study investigates the optimal mix of climate-related energies for most countries in the world with optimization models based on three criteria: cost, residual load variability, and portfolio output variability. The objectives of minimizing residual load variability and portfolio output variability are to ensure the overall complementarity of the generation portfolio, which may result in less conventional dispatchable units needed in a system. Compromise solutions based on the three objectives are proposed as the optimal mix. This method can produce solutions in acceptable modelling time, and considers the portfolio output characteristics which can make higher climate-related energy penetration more practical. The results show that the compromise solutions can effectively minimize the three objective values in most countries. The results also suggest that wind power is crucial in higher renewable share systems while solar power does not reach over 50% capacity share.
AU - Chu,C-T
AU - Hawkes,AD
DO - 10.1016/j.renene.2020.06.104
EP - 963
PY - 2020///
SN - 0960-1481
SP - 955
TI - Optimal mix of climate-related energy in global electricity systems
T2 - Renewable Energy
UR - http://dx.doi.org/10.1016/j.renene.2020.06.104
UR - https://www.sciencedirect.com/science/article/pii/S0960148120310211?via%3Dihub
UR - http://hdl.handle.net/10044/1/82360
VL - 160
ER -