TY - GEN
T1 - MODELING PATHWAYS TO THE EMISSION TRADING SYSTEM
T2 - 2024 Winter Simulation Conference, WSC 2024
AU - Bhattarai, Nishant
AU - Urs, Rahul Rajeevkumar
AU - Mezher, Toufic
AU - Mayyas, Ahmad
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This study leverages a meticulously developed model to explore the profound implications of Emission Trading Systems (ETS) on environmental and economic dimensions in the United Arab Emirates. This model delves into critical parameters, including emission caps and carbon prices, yielding transformative insights into environmental and economic avenues. The results reveal a direct correlation between the stringency of emission caps and emission reduction, particularly impactful in the power generation sector. Conversely, challenges faced by energy-intensive industries prompt discussions on innovative strategies such as alternative fuels and materials. The trading dynamics among participants, portrayed through a randomized auction process, revealed nuanced patterns and highlighted the challenges and opportunities within the emission trading system. This model provides a comprehensive understanding of the complexities inherent in the ETS and can serve as a strategic guide for policymakers and stakeholders, fostering a balanced approach between environmental and economic factors.
AB - This study leverages a meticulously developed model to explore the profound implications of Emission Trading Systems (ETS) on environmental and economic dimensions in the United Arab Emirates. This model delves into critical parameters, including emission caps and carbon prices, yielding transformative insights into environmental and economic avenues. The results reveal a direct correlation between the stringency of emission caps and emission reduction, particularly impactful in the power generation sector. Conversely, challenges faced by energy-intensive industries prompt discussions on innovative strategies such as alternative fuels and materials. The trading dynamics among participants, portrayed through a randomized auction process, revealed nuanced patterns and highlighted the challenges and opportunities within the emission trading system. This model provides a comprehensive understanding of the complexities inherent in the ETS and can serve as a strategic guide for policymakers and stakeholders, fostering a balanced approach between environmental and economic factors.
UR - https://www.scopus.com/pages/publications/85217616241
U2 - 10.1109/WSC63780.2024.10838968
DO - 10.1109/WSC63780.2024.10838968
M3 - Conference contribution
AN - SCOPUS:85217616241
T3 - Proceedings - Winter Simulation Conference
SP - 834
EP - 845
BT - 2024 Winter Simulation Conference, WSC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 December 2024 through 18 December 2024
ER -