TY - GEN
T1 - Energy mix forecasting in Abu Dhabi using mixed integer linear program
AU - Al Naimi, Moza Salim
AU - Hassan Ali, Mohamed I.
AU - Mogi, Gento
N1 - Funding Information:
This work was funded by Masdar Institute of Science and Technology for the interdisciplinary PhD scholarship program.
Publisher Copyright:
Copyright © 2018 ASME.
PY - 2018
Y1 - 2018
N2 - Sustainable energy transition requires a critical prediction for the long-term evolvement of energy systems around the world. It is affected by several factors: the changes in the oil economy, the climate change, and the development of renewable energy supply technologies. The aim of this research is to compare and analyze Abu Dhabi’s generation sector in its transition from complete conventional gas to a mix of conventional and Photovoltaic (PV) energy systems. Employing a Mixed Integer Linear Program (MILP) and PLEXOS software, two capacity expansion scenarios of Abu Dhabi’s generation sector for five years are optimized, analyzed, and compared using a real data from the generation and demand sides. This research means to highlight, to the UAE government, the effect of introducing more renewable energy and to evaluate the performance of the generation side in meeting the forecasted demand. Furthermore, this work opens the doors wide for further development and optimization in the GCC area.
AB - Sustainable energy transition requires a critical prediction for the long-term evolvement of energy systems around the world. It is affected by several factors: the changes in the oil economy, the climate change, and the development of renewable energy supply technologies. The aim of this research is to compare and analyze Abu Dhabi’s generation sector in its transition from complete conventional gas to a mix of conventional and Photovoltaic (PV) energy systems. Employing a Mixed Integer Linear Program (MILP) and PLEXOS software, two capacity expansion scenarios of Abu Dhabi’s generation sector for five years are optimized, analyzed, and compared using a real data from the generation and demand sides. This research means to highlight, to the UAE government, the effect of introducing more renewable energy and to evaluate the performance of the generation side in meeting the forecasted demand. Furthermore, this work opens the doors wide for further development and optimization in the GCC area.
KW - Abu Dhabi
KW - Energy Mix (EM)
KW - Mixed Integer Linear Program (MILP)
KW - Optimization
KW - Photovoltaic (PV)
KW - PLEXOS
UR - http://www.scopus.com/inward/record.url?scp=85063789495&partnerID=8YFLogxK
U2 - 10.1115/IMECE2018-87575
DO - 10.1115/IMECE2018-87575
M3 - Conference contribution
AN - SCOPUS:85063789495
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Energy
T2 - ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018
Y2 - 9 November 2018 through 15 November 2018
ER -
