TY - GEN
T1 - Marginal Emission Factors in Power Systems
T2 - 12th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2023
AU - Alikhani, Parnian
AU - Brinkel, Nico
AU - Schram, Wouter
AU - Lampropoulos, Ioannis
AU - van Sark, Wilfried
N1 - Funding Information:
This study is supported by the Dutch Ministry of Economic Affairs and Climate Policy and the Dutch Ministry of the Interior and Kingdom Relations through the ROBUST project under grant agreement MOOI32014. This study is also supported by the Horizon 2020 program and the ARV project under grant agreement 101036723.
Publisher Copyright:
Copyright © 2023 by SCITEPRESS – Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)
PY - 2023
Y1 - 2023
N2 - The Marginal Emission Factor (MEF) is a consistent metric with increased accuracy, compared to the average emission factor, to evaluate the avoided emissions as a result of changes in electricity consumption caused by new technologies and policies. In this study, a method is developed to model MEFs by constructing merit order profiles in interconnected power systems. The proposed method is applied in a case study of the Netherlands for the years 2018 to 2022. This method, in contrast to previous studies that developed marginal emission profiles, does not neglect the share of the electricity demand which is met by countries in neighboring bidding zones. In this study, the results suggest that ignoring electricity trading significantly underestimates the marginal emission factors. It is found that the key factors resulting in clear temporal shifts in the marginal emission profiles are fuel and CO2 prices. Even though the installed capacity of fossil-fueled electricity generation has declined over time, these are mainly the power plants that operate at the margin and often set electricity prices at the wholesale level. Overall, the MEF profiles obtained using the proposed method could be readily employed in detailed evaluations of the emission optimization of distributed power systems to support decarbonization.
AB - The Marginal Emission Factor (MEF) is a consistent metric with increased accuracy, compared to the average emission factor, to evaluate the avoided emissions as a result of changes in electricity consumption caused by new technologies and policies. In this study, a method is developed to model MEFs by constructing merit order profiles in interconnected power systems. The proposed method is applied in a case study of the Netherlands for the years 2018 to 2022. This method, in contrast to previous studies that developed marginal emission profiles, does not neglect the share of the electricity demand which is met by countries in neighboring bidding zones. In this study, the results suggest that ignoring electricity trading significantly underestimates the marginal emission factors. It is found that the key factors resulting in clear temporal shifts in the marginal emission profiles are fuel and CO2 prices. Even though the installed capacity of fossil-fueled electricity generation has declined over time, these are mainly the power plants that operate at the margin and often set electricity prices at the wholesale level. Overall, the MEF profiles obtained using the proposed method could be readily employed in detailed evaluations of the emission optimization of distributed power systems to support decarbonization.
KW - Cross-Border Exchange
KW - Decarbonization
KW - Electricity System
KW - Marginal Emission Factors
KW - Merit Order
UR - http://www.scopus.com/inward/record.url?scp=85160763097&partnerID=8YFLogxK
U2 - 10.5220/0011855700003491
DO - 10.5220/0011855700003491
M3 - Conference contribution
AN - SCOPUS:85160763097
T3 - Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems
SP - 50
EP - 57
BT - Proceedings of the 12th International Conference on Smart Cities and Green ICT Systems
A2 - Klein, Cornel
A2 - Jarke, Matthias
PB - SciTePress
Y2 - 26 April 2023 through 28 April 2023
ER -