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Energy Consumption and Carbon Dioxide Production Optimization in an Educational Building Using the Supported Vector Machine and Ant Colony System

Author

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  • Wongchai Anupong

    (Department of Agricultural Economy and Development, Faculty of Agriculture, Chiang Mai University, Chiang Mai 52000, Thailand)

  • Iskandar Muda

    (Department of Doctoral Program, Faculty Economic and Business, Universitas Sumatera Utara, Medan 20222, Indonesia)

  • Sabah Auda AbdulAmeer

    (Department of Mechanical Engineering, Ahl Al Bayt University, Kerbala 56001, Iraq)

  • Ibrahim H. Al-Kharsan

    (Computer Technical Engineering Department, College of Technical Engineering, The Islamic University, Najaf 54001, Iraq)

  • Aníbal Alviz-Meza

    (Grupo de Investigación en Deterioro de Materiales, Transición Energética y Ciencia de Datos DANT3, Facultad de Ingenieria y Urbanismo, Universidad Señor de Sipán, Km 5 Via Pimentel, Chiclayo 14001, Peru)

  • Yulineth Cárdenas-Escrocia

    (GIOPEN, Energy Optimization Research Group, Energy Department, Universidad de la Costa (CUC), Cl. 58 ##55–66, Barranquilla 080016, Atlántico, Colombia)

Abstract

Buildings account for sixty percent of the world’s total annual energy consumption; therefore, it is essential to find ways to reduce the amount of energy used in this sector. The road administration organization in Jakarta, Indonesia, utilized a questionnaire as well as the insights of industry experts to determine the most effective energy optimization parameters. It was decided to select variables such as the wall and ceiling materials, the number and type of windows, and the wall and ceiling insulation thickness. Several different modes were evaluated using the DesignBuilder software. Training the data with a supported vector machine (SVM) revealed the relationship between the inputs and the two critical outputs, namely the amount of energy consumption and CO 2 production, and the ant colony algorithm was used for optimization. According to the findings, the ratio of the north and east windows to the wall in one direction is 70 percent, while the ratio of the south window to the wall in the same direction ranges from 35 to 50 percent. When the ratio and percentage of the west window to the west wall is between 60 and 70 percent, the amount of produced energy and CO 2 is reduced to negligible levels.

Suggested Citation

  • Wongchai Anupong & Iskandar Muda & Sabah Auda AbdulAmeer & Ibrahim H. Al-Kharsan & Aníbal Alviz-Meza & Yulineth Cárdenas-Escrocia, 2023. "Energy Consumption and Carbon Dioxide Production Optimization in an Educational Building Using the Supported Vector Machine and Ant Colony System," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3118-:d:1062178
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    References listed on IDEAS

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    1. Reza Alayi & Mahdi Mohkam & Seyed Reza Seyednouri & Mohammad Hossein Ahmadi & Mohsen Sharifpur, 2021. "Energy/Economic Analysis and Optimization of On-Grid Photovoltaic System Using CPSO Algorithm," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
    2. Fatemeh Yavari & Seyyed Ali Salehi Neyshabouri & Jafar Yazdi & Amir Molajou & Adam Brysiewicz, 2022. "A Novel Framework for Urban Flood damage Assessment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(6), pages 1991-2011, April.
    3. Oluyomi A. Osobajo & Afolabi Otitoju & Martha Ajibola Otitoju & Adekunle Oke, 2020. "The Impact of Energy Consumption and Economic Growth on Carbon Dioxide Emissions," Sustainability, MDPI, vol. 12(19), pages 1-16, September.
    4. Li, Xiaoma & Zhou, Yuyu & Yu, Sha & Jia, Gensuo & Li, Huidong & Li, Wenliang, 2019. "Urban heat island impacts on building energy consumption: A review of approaches and findings," Energy, Elsevier, vol. 174(C), pages 407-419.
    5. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    6. Gajpal, Yuvraj & Abad, P.L., 2009. "Multi-ant colony system (MACS) for a vehicle routing problem with backhauls," European Journal of Operational Research, Elsevier, vol. 196(1), pages 102-117, July.
    7. Johannes Sedlmeir & Hans Ulrich Buhl & Gilbert Fridgen & Robert Keller, 2020. "The Energy Consumption of Blockchain Technology: Beyond Myth," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 599-608, December.
    8. Amir Molajou & Parsa Pouladi & Abbas Afshar, 2021. "Incorporating Social System into Water-Food-Energy Nexus," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(13), pages 4561-4580, October.
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    1. Hisham Alghamdi & Aníbal Alviz-Meza, 2023. "A Novel Strategy for Converting Conventional Structures into Net-Zero-Energy Buildings without Destruction," Sustainability, MDPI, vol. 15(14), pages 1-14, July.
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    3. Hisham Alghamdi & Aníbal Alviz-Meza, 2023. "Techno-Environmental Evaluation and Optimization of a Hybrid System: Application of Numerical Simulation and Gray Wolf Algorithm in Saudi Arabia," Sustainability, MDPI, vol. 15(18), pages 1-17, September.

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