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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

Author

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  • Surajet Khonjun

    (Artificial Intelligence Optimization Laboratory, Department of Industrial Engineering, Faculty of Engineering, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand)

  • Rapeepan Pitakaso

    (Artificial Intelligence Optimization Laboratory, Department of Industrial Engineering, Faculty of Engineering, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand)

  • Kanchana Sethanan

    (Research Unit on System Modeling for Industry, Department of Industrial Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand)

  • Natthapong Nanthasamroeng

    (Artificial Intelligence Optimization Laboratory, Department of Engineering Technology, Faculty of Industrial Technology, Ubon Ratchathani Rajabhat University, Ubon Ratchathani 34000, Thailand)

  • Kiatisak Pranet

    (Artificial Intelligence Optimization Laboratory, Department of Logistics Management, Faculty of Industrial Technology, Ubon Ratchathani Rajabhat University, Ubon Ratchathani 34000, Thailand)

  • Chutchai Kaewta

    (Artificial Intelligence Optimization Laboratory, Department of Computer Science, Faculty of Computer Science, Ubon Ratchathani Rajabhat University, Ubon Ratchathani 34000, Thailand)

  • Ponglert Sangkaphet

    (Artificial Intelligence Optimization Laboratory, Department of Computer Science, Faculty of Computer Science, Ubon Ratchathani Rajabhat University, Ubon Ratchathani 34000, Thailand)

Abstract

This research aimed to develop an effective algorithm to minimize the energy use of vertical transportation in elevators while controlling the number of passengers in the elevator waiting area and the number of passengers in the elevator during rush hour, thus maintaining social distancing to limit the spread of COVID-19. A mobile application and Internet of Things (IoT) devices were used to electronically communicate between the elevator’s control system and the passengers. IoT devices were used to reduce the number of passengers waiting for an elevator and passengers’ waiting time, while the energy consumption of the lift was reduced by using passenger scheduling and elevator stopping strategies. Three mathematical models were formulated to represent the different strategies used to cause the elevator to stop. These strategies were normal (allowing the elevator to stop at every floor), odd–even (some elevators are allowed to stop at odd floors and others are allowed to stop at even floors of the building), and high–low (some elevators are allowed to stop at high floors and others are allowed to stop at low floors of the building). Lingo v.11 and the differential evolution algorithm (DE) were used to address the optimal scheduling of the passengers and the elevators. The computational results show that the odd–even strategy had a 13.91–23.71% lower energy consumption compared with the high–low and normal strategies. Furthermore, the use of DE consumed 6.67–7.99% less energy than the use of Lingo.v11. Finally, the combination of DE and the designed application reduced the number of waiting passengers, the average passenger waiting time, and the total energy consumption by 74.55%, 75.12%, and 45.01%, respectively.

Suggested Citation

  • Surajet Khonjun & Rapeepan Pitakaso & Kanchana Sethanan & Natthapong Nanthasamroeng & Kiatisak Pranet & Chutchai Kaewta & Ponglert Sangkaphet, 2022. "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, MDPI, vol. 14(5), pages 1-19, February.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2581-:d:756675
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    References listed on IDEAS

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    1. Yongming Zhang & Zhe Yan & Li Li & Jiawei Yao, 2018. "A Hybrid Building Power Distribution System in Consideration of Supply and Demand-Side: A Short Overview and a Case Study," Energies, MDPI, vol. 11(11), pages 1-19, November.
    2. Mostafa Kermani & Erfan Shirdare & Saram Abbasi & Giuseppe Parise & Luigi Martirano, 2021. "Elevator Regenerative Energy Applications with Ultracapacitor and Battery Energy Storage Systems in Complex Buildings," Energies, MDPI, vol. 14(11), pages 1-16, June.
    3. Berk Ekici & Okan F. S. F. Turkcan & Michela Turrin & Ikbal Sevil Sariyildiz & Mehmet Fatih Tasgetiren, 2022. "Optimising High-Rise Buildings for Self-Sufficiency in Energy Consumption and Food Production Using Artificial Intelligence: Case of Europoint Complex in Rotterdam," Energies, MDPI, vol. 15(2), pages 1-35, January.
    4. Yerzhigit Bapin & Kanat Alimanov & Vasilios Zarikas, 2020. "Camera-Driven Probabilistic Algorithm for Multi-Elevator Systems," Energies, MDPI, vol. 13(23), pages 1-16, November.
    5. Lemiao Qiu & Huifang Zhou & Zili Wang & Wenqian Lou & Shuyou Zhang & Lichun Zhang, 2020. "A Stepped-Segmentation Method for the High-Speed Theoretical Elevator Car Air Pressure Curve Adjustment," Energies, MDPI, vol. 13(10), pages 1-21, May.
    6. Tatiana Victorovna Morozova & Reza Alayi & John William Grimaldo Guerrero & Mohsen Sharifpur & Yaser Ebazadeh, 2022. "Investigation and Optimization of the Performance of Energy Systems in the Textile Industry by Using CHP Systems," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
    7. Yangki Oh & Minwoo Kang & Kwangchae Lee & Sunkuk Kim, 2020. "Construction Management Solutions to Mitigate Elevator Noise and Vibration of High-Rise Residential Buildings," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
    8. Lemiao Qiu & Ci He & Guodong Yi & Shuyou Zhang & Yang Wang & Yong Rao & Lichun Zhang, 2020. "Energy-Based Vibration Modeling and Solution of High-Speed Elevators Considering the Multi-Direction Coupling Property," Energies, MDPI, vol. 13(18), pages 1-21, September.
    9. Yuriy Leonidovich Zhukovskiy & Margarita Sergeevna Kovalchuk & Daria Evgenievna Batueva & Nikita Dmitrievich Senchilo, 2021. "Development of an Algorithm for Regulating the Load Schedule of Educational Institutions Based on the Forecast of Electric Consumption within the Framework of Application of the Demand Response," Sustainability, MDPI, vol. 13(24), pages 1-26, December.
    10. Ona Egbue & Suzanna Long & Seong Dae Kim, 2022. "Resource Availability and Implications for the Development of Plug-In Electric Vehicles," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
    11. Jung-yeon Yu & Kyoo-dong Song & Dong-woo Cho, 2017. "Resolving Stack Effect Problems in a High-Rise Office Building by Mechanical Pressurization," Sustainability, MDPI, vol. 9(10), pages 1-17, September.
    12. Boni Sena & Sheikh Ahmad Zaki & Hom Bahadur Rijal & Jorge Alfredo Ardila-Rey & Nelidya Md Yusoff & Fitri Yakub & Farah Liana & Mohamad Zaki Hassan, 2021. "Development of an Electrical Energy Consumption Model for Malaysian Households, Based on Techno-Socioeconomic Determinant Factors," Sustainability, MDPI, vol. 13(23), pages 1-22, November.
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    Cited by:

    1. Yanfang Dong & Caihang Liang & Lili Guo & Xiaoliang Cai & Weipeng Hu, 2023. "Life Cycle Carbon Dioxide Emissions and Sensitivity Analysis of Elevators," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    2. Rojanee Homchalee & Rapeepan Pitakaso & Orawich Kumphon, 2023. "Minimizing Energy Usage and Makespan of Elevator Operation in Rush Hour Using Multi-Objective Variable Neighborhood Strategy Adaptive Search with a Mobile Application," Mathematics, MDPI, vol. 11(8), pages 1-22, April.

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