TY - JOUR
T1 - Optimizing multi-resource-based energy supply chains in developing economies
T2 - A periodic review model for affordable and sustainable solutions
AU - Mun, Kwon Gi
AU - Cai, Wenbo
AU - Rodgers, Mark
AU - Choi, Sungyong
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/6
Y1 - 2024/6
N2 - Electricity shortages are prevalent in developing countries, further exacerbated by the advocacy of zero-carbon policies to mitigate global climate change. This transition away from fossil fuels poses significant challenges in establishing cost-effective and sustainable energy supply networks. To tackle these challenges, this research assesses the influence of operational efficiencies, advancements in transmission technology, and strategic facility placements on the design of energy supply chains. We prioritize factors such as investment requirements, transmission yield, energy mix, carbon emissions, and social costs. We construct a robust optimization model with stochastic parameters that examines extreme scenarios. Applying this framework to a real-world case in Pakistan spanning a 30-year planning horizon, we present a novel approach that simultaneously diversifies raw material reserves while determining optimal power generation capacity and transmission technologies. Our analysis shows that integrating renewable energy resources and changing transmission methods within the current energy mix can yield an affordable and sustainable energy supply chain, reducing reliance on coal. Consequently, the study case demonstrates substantial reductions in carbon emissions and social costs by 85.68 % and 17.81 %, respectively, in the second and third 10-year planning intervals.
AB - Electricity shortages are prevalent in developing countries, further exacerbated by the advocacy of zero-carbon policies to mitigate global climate change. This transition away from fossil fuels poses significant challenges in establishing cost-effective and sustainable energy supply networks. To tackle these challenges, this research assesses the influence of operational efficiencies, advancements in transmission technology, and strategic facility placements on the design of energy supply chains. We prioritize factors such as investment requirements, transmission yield, energy mix, carbon emissions, and social costs. We construct a robust optimization model with stochastic parameters that examines extreme scenarios. Applying this framework to a real-world case in Pakistan spanning a 30-year planning horizon, we present a novel approach that simultaneously diversifies raw material reserves while determining optimal power generation capacity and transmission technologies. Our analysis shows that integrating renewable energy resources and changing transmission methods within the current energy mix can yield an affordable and sustainable energy supply chain, reducing reliance on coal. Consequently, the study case demonstrates substantial reductions in carbon emissions and social costs by 85.68 % and 17.81 %, respectively, in the second and third 10-year planning intervals.
KW - Data-driven policymaking
KW - Developing economies
KW - Energy supply chain optimization
KW - Periodic review model
KW - Public sector development
UR - http://www.scopus.com/inward/record.url?scp=85192791659&partnerID=8YFLogxK
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U2 - 10.1016/j.cie.2024.110188
DO - 10.1016/j.cie.2024.110188
M3 - Article
AN - SCOPUS:85192791659
SN - 0360-8352
VL - 192
JO - Computers and Industrial Engineering
JF - Computers and Industrial Engineering
M1 - 110188
ER -