Elevator Energy Consumption and Upward Travel Load Patterns in A University Lecture Building
Submitted : 2026-02-27, Published : 2026-05-05.
Abstract
This study analyzes passenger elevator operation patterns and their contribution to building electricity consumption in a university lecture building. Previous research has mainly focused on system simulations or control optimization, resulting in limited empirical studies that integrate large-scale directional passenger movement data with aggregated building-level electricity consumption, especially in academic settings. To address this gap, the study examines elevator usage patterns based on 31,265 observed trips and links directional travel with building-level electricity consumption. Data were collected over a two-week period (13–24 October 2025) through direct observation and MDP-based energy measurements, then analyzed using Pearson correlation and linear regression. Results show that 44.6% of total traffic occurred in the morning, with 83.0% concentrated during peak periods. Upward trips accounted for 52.7% of movements, indicating directional asymmetry associated with increased traction motor load during peak hours. Pearson correlation analysis revealed a significant positive relationship between elevator usage intensity and daily electricity consumption (r = 0.813, p = 0.004, 95% CI [0.35–0.96]). Linear regression showed that 66.1% of variation in daily energy consumption could be explained by elevator usage intensity. This study provides a context-specific empirical analysis by integrating directional elevator travel data with aggregated building-level electricity consumption in a university lecture building, based on real-world observations. These findings demonstrate that dominant upward travel during academic transition periods is measurably associated with overall building energy consumption dynamics.
Keywords
Full Text:
PDFReferences
M. Hermawan and A. Noveria, “Fundamental Financial Performance Analysis and Stock Valuation of PT DCI Indonesia TBK at Year 2024,” Eduvest-Journal of Universal Studies, vol. 5, no. 10, pp. 12197–12215, 2025. https://doi.org/10.59188/eduvest.v5i10.51308
A. Zacki and S. Pathirana, “Effect of green building features on energy efficiency of university buildings in tropical climate,” Sustainable Futures, vol. 10, p. 101069, 2025. https://doi.org/10.1016/j.sftr.2025.101069
D. Almanda and A. I. Ramadhan, “Analysis of the potential for savings in electrical energy consumption in lifts: case study in Indonesia,” Journal of Applied Sciences and Advanced Technology, vol. 3, no. 1, pp. 29–34, 2020.
S. Marsong, Y. Kongjeen, and B. Plangklang, “Vertical Transportation System Power Usage: Behavioural Case Study of Regulated Buildings in Bangkok,” Sustainability, vol. 14, no. 20, p. 13267, 2022. https://doi.org/10.3390/su142013267
T. Tukia, S. Uimonen, M.-L. Siikonen, C. Donghi, and M. Lehtonen, “Modeling the aggregated power consumption of elevators–the New York city case study,” Appl. Energy, vol. 251, p. 113356, 2019. https://doi.org/10.1016/j.apenergy.2019.113356
M. D’Orazio, G. Bernardini, and E. Di Giuseppe, “Improving sustainable management of university buildings based on occupancy data,” J. Constr. Eng. Manag., vol. 150, no. 1, p. 04023154, 2024. https://doi.org/10.1061/JCEMD4.COENG-13563
T. Sutikno, R. A. Aprilianto, N. R. N. Idris, and A. S. Samosir, “Performance numerical evaluation of modified single-ended primary-inductor converter for photovoltaic systems,” International Journal of Electrical and Computer Engineering (IJECE), vol. 13, no. 4, pp. 3720–3732, 2023. https://doi.org/10.11591/ijece.v13i4.pp3720-3732
N. Barnett and L. Michael, “Can Residential Build to Rent provide a profitable low risk investment option?,” Journal of Management and Economic Studies, vol. 2, no. 1, pp. 24–50, 2020. https://doi.org/10.26677/TR1010.2020.426
M. Anggraini, “IESR Efforts to Accelerate Indonesia Renewable Energy Transition Through Media Relations,” in RSF Conference Series: Business, Management and Social Sciences, 2021. https://doi.org/10.31098/bmss.v1i4.314
M. Crippa et al., “CO2 emissions of all world countries,” JRC Science for Policy Report, European Commission, EUR, vol. 31182, 2022.
A. Nurkhin et al., “Web-based Sustainable Development Goals (SDGs) Disclosure in Indonesian Universities: A Content Analysis Approach,” in IOP Conference Series: Earth and Environmental Science, IOP Publishing, 2025, p. 012082. https://doi.org/10.1088/1755-1315/1556/1/012082
T. Tukia, S. Uimonen, M.-L. Siikonen, C. Donghi, and M. Lehtonen, “High-resolution modeling of elevator power consumption,” Journal of Building Engineering, vol. 18, pp. 210–219, 2018. https://doi.org/10.1016/j.jobe.2018.03.008
Y. Zhu, Z. Wang, and L. Zhu, “Does technological innovation improve energy-environmental efficiency? New evidence from China’s transportation sector,” Environmental Science and Pollution Research, vol. 28, no. 48, pp. 69042–69058, 2021. https://doi.org/10.1007/s11356-021-15455-4
L. Chen, Q. Li, X. Jia, and T. Tang, “Field study on students’ walking behavior on stairways in university buildings,” Saf. Sci., vol. 192, p. 106997, 2025. https://doi.org/10.1016/j.ssci.2025.106997
P. Bastida Molina, J. Torres-Navarro, A. Honrubia-Escribano, and E. Gómez-Lázaro, “Electricity consumption analysis for university buildings. Empirical approach for University of Castilla-La Mancha, campus Albacete (Spain).,” 2022.
M. F. Adak, N. Duru, and H. T. Duru, “Elevator simulator design and estimating energy consumption of an elevator system,” Energy Build., vol. 65, pp. 272–280, 2013. https://doi.org/10.1016/j.enbuild.2013.06.003
G. English et al., “A review of data collection methods used to monitor the associations of wild species with marine aquaculture sites,” Rev. Aquac., vol. 16, no. 3, pp. 1160–1185, 2024. https://doi.org/10.1111/raq.12890
H. Q. Chim, M. G. A. Oude Egbrink, P. W. M. Van Gerven, R. H. M. de Groot, B. Winkens, and H. H. C. M. Savelberg, “Academic schedule and day-to-day variations in sedentary behavior and physical activity of university students,” Int. J. Environ. Res. Public Health, vol. 17, no. 8, p. 2810, 2020. https://doi.org/10.3390/ijerph17082810
S. Khonjun et al., “Differential evolution algorithm for optimizing the energy usage of Vertical Transportation in an Elevator (VTE), taking into consideration rush hour management and COVID-19 prevention,” Sustainability, vol. 14, no. 5, p. 2581, 2022. https://doi.org/10.3390/su14052581
M. U. Zubair and X. Zhang, “Explicit data-driven prediction model of annual energy consumed by elevators in residential buildings,” Journal of Building Engineering, vol. 31, p. 101278, 2020. https://doi.org/10.1016/j.jobe.2020.101278
M. Spiryagin et al., “Problems, assumptions and solutions in locomotive design, traction and operational studies,” Railway Engineering Science, vol. 30, no. 3, pp. 265–288, 2022. https://doi.org/10.1007/s40534-021-00263-w
A. N. Z. Rashed et al., “Connected smart elevator systems for smart power and time saving,” Sci. Rep., vol. 14, no. 1, p. 19330, 2024. https://doi.org/10.1038/s41598-024-69173-1
Article Metrics
Abstract view: 53 times
Download  : 12 times

This work is licensed under a Creative Commons Attribution 4.0 International License.
Refbacks
- There are currently no refbacks.






