TY - JOUR
T1 - Drivers of energy consumption in Kuwaiti buildings
T2 - Insights from a hybrid statistical and building performance simulation approach
AU - Azar, Elie
AU - Alaifan, Bader
AU - Lin, Min
AU - Trepci, Esra
AU - El Asmar, Mounir
N1 - Funding Information: This project was funded by the Kuwait Foundation for the Advancement of Sciences (KFAS) under project codes: PN17-35EV-01 , PN17-35EV-02 , and PN18-15EV-09 . Any opinions and findings in this paper are those of the authors and do not necessarily represent those of KFAS. The authors would also like to acknowledge the help of Ms. Zainab Aldanhani who initially developed a BPS model of the single-family villa as part of her master's thesis work at Khalifa University of Science and Technology. Funding Information: This project was funded by the Kuwait Foundation for the Advancement of Sciences (KFAS) under project codes: PN17-35EV-01, PN17-35EV-02, and PN18-15EV-09. Any opinions and findings in this paper are those of the authors and do not necessarily represent those of KFAS. The authors would also like to acknowledge the help of Ms. Zainab Aldanhani who initially developed a BPS model of the single-family villa as part of her master's thesis work at Khalifa University of Science and Technology. Publisher Copyright: © 2021 Elsevier Ltd
PY - 2021/3
Y1 - 2021/3
N2 - Understanding and quantifying the drivers of energy consumption in buildings is an essential step to identify inefficiencies and guide energy conservation efforts and policies. While such efforts are common in western countries, they remain limited in the Middle East and North Africa (MENA) region, particularly in the State of Kuwait. This article presents the first systematic assessment of the drivers of energy consumption in Kuwaiti commercial and residential buildings. It presents a unique hybrid study approach combining data collected from 463 buildings with Building Performance Simulation (BPS) developed and validated to mimic the performance of archetype (i.e., typical) Kuwaiti buildings. Results identify the built-up area and the thermostat cooling setpoints as the main determinants of electric consumption, quantifying the exact relationships between these variables. For instance, a simple 2 °C increase in the thermostat cooling setpoint can lead to a more than 10% reduction in total energy use. Other parameters that are typically known to affect building performance, such as the type of Air Conditioning (AC) systems installed, did not show statistically significant effects. The findings helped derive important recommendations for the Kuwaiti authorities, covering the educational, technological, and policy-related dimensions of the challenges facing the building sector.
AB - Understanding and quantifying the drivers of energy consumption in buildings is an essential step to identify inefficiencies and guide energy conservation efforts and policies. While such efforts are common in western countries, they remain limited in the Middle East and North Africa (MENA) region, particularly in the State of Kuwait. This article presents the first systematic assessment of the drivers of energy consumption in Kuwaiti commercial and residential buildings. It presents a unique hybrid study approach combining data collected from 463 buildings with Building Performance Simulation (BPS) developed and validated to mimic the performance of archetype (i.e., typical) Kuwaiti buildings. Results identify the built-up area and the thermostat cooling setpoints as the main determinants of electric consumption, quantifying the exact relationships between these variables. For instance, a simple 2 °C increase in the thermostat cooling setpoint can lead to a more than 10% reduction in total energy use. Other parameters that are typically known to affect building performance, such as the type of Air Conditioning (AC) systems installed, did not show statistically significant effects. The findings helped derive important recommendations for the Kuwaiti authorities, covering the educational, technological, and policy-related dimensions of the challenges facing the building sector.
KW - Building performance simulation
KW - Buildings
KW - Energy consumption drivers
KW - Energy policy
KW - Kuwait
KW - Statistical modeling
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U2 - https://doi.org/10.1016/j.enpol.2021.112154
DO - https://doi.org/10.1016/j.enpol.2021.112154
M3 - Article
SN - 0301-4215
VL - 150
JO - Energy Policy
JF - Energy Policy
M1 - 112154
ER -