TY - JOUR
T1 - Multi-objective optimization of a multiregional electricity system in an archipelagic state
T2 - The role of renewable energy in energy system sustainability
AU - Pratama, Yoga Wienda
AU - Purwanto, Widodo Wahyu
AU - Tezuka, Tetsuo
AU - McLellan, Benjamin Craig
AU - Hartono, Djoni
AU - Hidayatno, Akhmad
AU - Yunus, null
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017
Y1 - 2017
N2 - Indonesia, the world's largest archipelagic state, has sizeable fossil and substantial renewable energy resources; however, high disparity in population density, infrastructure, economic level, and distance between energy sources and consumers inflict a discrepancy in electricity system performance among regions. In the present study, a multi-objective optimization model was developed to support decision makers in selecting the most sustainable scenario for Indonesian power generation planning through 2050. To capture regional characteristics more accurately, the model was developed with a multiregional approach by dividing Indonesia into six regions, and a single-regional approach is set as a reference for comparison. Five development scenarios based on economic–environmental trade-off were proposed, and four policy options were incorporated to evaluate the scenario preferences within various priority sets. Generation mixes obtained from the optimization model were input into a sustainability assessment model consisting of eleven indicators, representing three sustainability aspects: economic, social, and environmental. The results show that for most policy options, the most sustainable electricity system can be achieved by the highest orientation on environmental protection, which results in significant advantages regarding most indicators of sustainability; however, this scenario shows high economic disadvantages relative to the social and environmental benefits. The results indicate that optimization with a multiregional approach can capture regional characteristics of an archipelagic state better than that of a single-regional approach, thereby providing more realistic scenarios for the archipelagic state.
AB - Indonesia, the world's largest archipelagic state, has sizeable fossil and substantial renewable energy resources; however, high disparity in population density, infrastructure, economic level, and distance between energy sources and consumers inflict a discrepancy in electricity system performance among regions. In the present study, a multi-objective optimization model was developed to support decision makers in selecting the most sustainable scenario for Indonesian power generation planning through 2050. To capture regional characteristics more accurately, the model was developed with a multiregional approach by dividing Indonesia into six regions, and a single-regional approach is set as a reference for comparison. Five development scenarios based on economic–environmental trade-off were proposed, and four policy options were incorporated to evaluate the scenario preferences within various priority sets. Generation mixes obtained from the optimization model were input into a sustainability assessment model consisting of eleven indicators, representing three sustainability aspects: economic, social, and environmental. The results show that for most policy options, the most sustainable electricity system can be achieved by the highest orientation on environmental protection, which results in significant advantages regarding most indicators of sustainability; however, this scenario shows high economic disadvantages relative to the social and environmental benefits. The results indicate that optimization with a multiregional approach can capture regional characteristics of an archipelagic state better than that of a single-regional approach, thereby providing more realistic scenarios for the archipelagic state.
KW - Electricity system
KW - Multi-objective optimization
KW - Multiregional
KW - Renewable energy
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=85018591369&partnerID=8YFLogxK
U2 - 10.1016/j.rser.2017.04.021
DO - 10.1016/j.rser.2017.04.021
M3 - Review article
AN - SCOPUS:85018591369
SN - 1364-0321
VL - 77
SP - 423
EP - 439
JO - Renewable and Sustainable Energy Reviews
JF - Renewable and Sustainable Energy Reviews
ER -