Energy mix forecasting in Abu Dhabi using mixed integer linear program

Moza Salim Al Naimi; Mohamed I. Hassan Ali; Gento Mogi

doi:10.1115/IMECE2018-87575

Energy mix forecasting in Abu Dhabi using mixed integer linear program

Moza Salim Al Naimi
, Mohamed I. Hassan Ali
, Gento Mogi

Mechanical & Nuclear Engineering

University of Tokyo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original language	British English
Title of host publication	Energy
ISBN (Electronic)	9780791852071
DOIs	https://doi.org/10.1115/IMECE2018-87575
State	Published - 2018
Event	ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 - Pittsburgh, United States Duration: 9 Nov 2018 → 15 Nov 2018

Publication series

Name	ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
Volume	6A-144113

Conference

Conference	ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018
Country/Territory	United States
City	Pittsburgh
Period	9/11/18 → 15/11/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 13 Climate Action

Keywords

Abu Dhabi
Energy Mix (EM)
Mixed Integer Linear Program (MILP)
Optimization
Photovoltaic (PV)
PLEXOS

Access to Document

10.1115/IMECE2018-87575

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Cite this

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title = "Energy mix forecasting in Abu Dhabi using mixed integer linear program",

abstract = "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{\textquoteright}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{\textquoteright}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.",

keywords = "Abu Dhabi, Energy Mix (EM), Mixed Integer Linear Program (MILP), Optimization, Photovoltaic (PV), PLEXOS",

author = "\{Al Naimi\}, \{Moza Salim\} and \{Hassan Ali\}, \{Mohamed I.\} and Gento Mogi",

note = "Funding Information: This work was funded by Masdar Institute of Science and Technology for the interdisciplinary PhD scholarship program. Publisher Copyright: Copyright {\textcopyright} 2018 ASME.; ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018 ; Conference date: 09-11-2018 Through 15-11-2018",

year = "2018",

doi = "10.1115/IMECE2018-87575",

language = "British English",

series = "ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)",

booktitle = "Energy",

}

Al Naimi, MS, Hassan Ali, MI & Mogi, G 2018, Energy mix forecasting in Abu Dhabi using mixed integer linear program. in Energy. ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), vol. 6A-144113, ASME 2018 International Mechanical Engineering Congress and Exposition, IMECE 2018, Pittsburgh, United States, 9/11/18. https://doi.org/10.1115/IMECE2018-87575

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

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 - https://www.scopus.com/pages/publications/85063789495

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 -

Energy mix forecasting in Abu Dhabi using mixed integer linear program

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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