TY - GEN
T1 - Optimizing Greenhouse Gas Emissions
T2 - 2023 IEEE Technology and Engineering Management Conference - Asia Pacific, TEMSCON-ASPAC 2023
AU - Hanoum, Syarifa
AU - Ardiantono, Dewie Saktia
AU - Rachmad, Rizal
AU - Ramadhandy, Rizky Akbar
AU - Irawan, Mohammad Isa
AU - Korpysa, Jaroslaw
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Indonesia as one of the most populated countries still relies on Coal-fired Power Plants (PLTU, in Indonesian) for meeting its electricity demands. However, the electricity generation is associated with greenhouse gas (GHG) emissions generation that cannot be overlooked, as the substantial release of carbon gases into the atmosphere exacerbates pollution, leading to global warming and destructive climate shifts. The environmental repercussions of coal-fired power plants underscore the necessity to optimize their efficiency and productivity, all while addressing greenhouse gas emissions. This article uses Data Envelopment Analysis (DEA) for efficiency assessment and Malmquist Productivity Index (MPI) for assessing changes in productivity. The DEA-MPI model incorporates two input variables (coal consumption and installed capacity), single desirable outputs (generated electricity), and four undesirable outputs, specifically GHG emissions (CO2, Nox, SO2, particles). The DEA-MPI efficiency and productivity analysis shows that 30% of PLTUs function optimally, 14% exhibit inefficiencies in resource utilization, 12% experience diminishing performance, 35% demand prioritized improvement efforts, and 9% remain stagnant. Notably, the majority fall within the 'priority for enhancement' category, emphasizing the need for substantial improvements across Indonesia's PLTU landscape.
AB - Indonesia as one of the most populated countries still relies on Coal-fired Power Plants (PLTU, in Indonesian) for meeting its electricity demands. However, the electricity generation is associated with greenhouse gas (GHG) emissions generation that cannot be overlooked, as the substantial release of carbon gases into the atmosphere exacerbates pollution, leading to global warming and destructive climate shifts. The environmental repercussions of coal-fired power plants underscore the necessity to optimize their efficiency and productivity, all while addressing greenhouse gas emissions. This article uses Data Envelopment Analysis (DEA) for efficiency assessment and Malmquist Productivity Index (MPI) for assessing changes in productivity. The DEA-MPI model incorporates two input variables (coal consumption and installed capacity), single desirable outputs (generated electricity), and four undesirable outputs, specifically GHG emissions (CO2, Nox, SO2, particles). The DEA-MPI efficiency and productivity analysis shows that 30% of PLTUs function optimally, 14% exhibit inefficiencies in resource utilization, 12% experience diminishing performance, 35% demand prioritized improvement efforts, and 9% remain stagnant. Notably, the majority fall within the 'priority for enhancement' category, emphasizing the need for substantial improvements across Indonesia's PLTU landscape.
KW - Bibliometric study
KW - Data envelopment analysis (DEA)
KW - Power Generation
UR - http://www.scopus.com/inward/record.url?scp=85195116924&partnerID=8YFLogxK
U2 - 10.1109/TEMSCON-ASPAC59527.2023.10531576
DO - 10.1109/TEMSCON-ASPAC59527.2023.10531576
M3 - Conference contribution
AN - SCOPUS:85195116924
T3 - Proceedings of 2023 IEEE Technology and Engineering Management Conference - Asia Pacific, TEMSCON-ASPAC 2023
BT - Proceedings of 2023 IEEE Technology and Engineering Management Conference - Asia Pacific, TEMSCON-ASPAC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 December 2023 through 16 December 2023
ER -
