TY - JOUR
T1 - Simulating households' energy transition in Amsterdam
T2 - An agent-based modeling approach
AU - Derkenbaeva, Erkinai
AU - Hofstede, Gert Jan
AU - van Leeuwen, Eveline
AU - Halleck Vega, Solmaria
PY - 2023/10/15
Y1 - 2023/10/15
N2 - Energy efficiency measures and renewable energy are crucial to achieving climate targets and Sustainable Development Goals. Amsterdam is actively working toward these objectives by setting a carbon emissions reduction target and related policies. This study explores how homeowners' energy efficiency decisions contribute to Amsterdam's 2030 carbon emissions goal, using agent-based modeling and spatial microsimulation. We utilize spatial microsimulation to expand the data from the 2021 Dutch Housing Survey, while this generated data is then input into the agent-based model. The key finding stresses the significance of neighborhood-level analysis in energy transition planning due to the importance of contextual differences vis-à-vis energy efficiency decisions. The study also underscores tenants' game-changing role in achieving the target. The model developed for this study can be adapted and used for other places. Based on the insights from the model output, the study proposes policy recommendations that could be a useful addition to the current policy schemes in Amsterdam and similar cities.
AB - Energy efficiency measures and renewable energy are crucial to achieving climate targets and Sustainable Development Goals. Amsterdam is actively working toward these objectives by setting a carbon emissions reduction target and related policies. This study explores how homeowners' energy efficiency decisions contribute to Amsterdam's 2030 carbon emissions goal, using agent-based modeling and spatial microsimulation. We utilize spatial microsimulation to expand the data from the 2021 Dutch Housing Survey, while this generated data is then input into the agent-based model. The key finding stresses the significance of neighborhood-level analysis in energy transition planning due to the importance of contextual differences vis-à-vis energy efficiency decisions. The study also underscores tenants' game-changing role in achieving the target. The model developed for this study can be adapted and used for other places. Based on the insights from the model output, the study proposes policy recommendations that could be a useful addition to the current policy schemes in Amsterdam and similar cities.
KW - Agent-based modeling
KW - Energy efficiency adoption
KW - Households’ decision-making
KW - Positive energy districts
U2 - 10.1016/j.enconman.2023.117566
DO - 10.1016/j.enconman.2023.117566
M3 - Article
AN - SCOPUS:85169900545
SN - 0196-8904
VL - 294
JO - Energy Conversion and Management
JF - Energy Conversion and Management
M1 - 117566
ER -