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A multi-objective optimization model for determining the building design and occupant behaviors based on energy, economic, and environmental performance

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  • Hong, Taehoon
  • Kim, Jimin
  • Lee, Minhyun

Abstract

Buildings are becoming considerably more energy-efficient and thus achieving greater thermal comfort. This study was conducted to develop an optimization model that simultaneously takes into consideration the occupants' thermal comfort, thermal energy consumption, and life cycle economic-environmental values. To this end, a multidisciplinary approach was adopted involving the analysis of the thermal comfort and thermal energy consumption through the EnergyPlus, and the quantification of the economic-environmental values through a life cycle cost analysis and life cycle assessment analysis. For the validation of the proposed model, a case study was conducted. A library facility in a monsoon climate as the target was chosen for this. A total of 4.26 × 1012 possible building design scenarios (31 window types × two ventilation types × 812 (eight set points: 18–25 °C, 1 °C intervals per month)) were generated and used to calculate the optimal building design solution. Based on the tables for making a better decision, trade-off analyses among the five optimization objectives were conducted. In terms of efficiency, the results showed that the time required for determining the optimal solution was only 2 s for each scenario, excluding the EnergyPlus running time. The proposed model may therefore be applied to other energy-saving techniques and buildings.

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  • Hong, Taehoon & Kim, Jimin & Lee, Minhyun, 2019. "A multi-objective optimization model for determining the building design and occupant behaviors based on energy, economic, and environmental performance," Energy, Elsevier, vol. 174(C), pages 823-834.
    • Handle: RePEc:eee:energy:v:174:y:2019:i:c:p:823-834
    DOI: 10.1016/j.energy.2019.02.035
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    References listed on IDEAS

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    2. Minjeong Sim & Dongjun Suh & Marc-Oliver Otto, 2021. "Multi-Objective Particle Swarm Optimization-Based Decision Support Model for Integrating Renewable Energy Systems in a Korean Campus Building," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
    3. Venkatraj, V. & Dixit, M.K., 2022. "Challenges in implementing data-driven approaches for building life cycle energy assessment: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    4. Hong, Juwon & Kang, Hyuna & Hong, Taehoon, 2020. "Oversampling-based prediction of environmental complaints related to construction projects with imbalanced empirical-data learning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    5. Du, Chenqiu & Li, Baizhan & Yu, Wei & Liu, Hong & Yao, Runming, 2019. "Energy flexibility for heating and cooling based on seasonal occupant thermal adaptation in mixed-mode residential buildings," Energy, Elsevier, vol. 189(C).
    6. Mehrdad Rabani & Habtamu Bayera Madessa & Natasa Nord, 2021. "Building Retrofitting through Coupling of Building Energy Simulation-Optimization Tool with CFD and Daylight Programs," Energies, MDPI, vol. 14(8), pages 1-23, April.
    7. Rabani, Mehrdad & Bayera Madessa, Habtamu & Mohseni, Omid & Nord, Natasa, 2020. "Minimizing delivered energy and life cycle cost using Graphical script: An office building retrofitting case," Applied Energy, Elsevier, vol. 268(C).
    8. Seyedeh Farzaneh Mousavi Motlagh & Ali Sohani & Mohammad Djavad Saghafi & Hoseyn Sayyaadi & Benedetto Nastasi, 2021. "The Road to Developing Economically Feasible Plans for Green, Comfortable and Energy Efficient Buildings," Energies, MDPI, vol. 14(3), pages 1-30, January.
    9. Qadeer Ali & Muhammad Jamaluddin Thaheem & Fahim Ullah & Samad M. E. Sepasgozar, 2020. "The Performance Gap in Energy-Efficient Office Buildings: How the Occupants Can Help?," Energies, MDPI, vol. 13(6), pages 1-27, March.
    10. Rui Liang & Xichuan Zheng & Po-Hsun Wang & Jia Liang & Linhui Hu, 2023. "Research Progress of Carbon-Neutral Design for Buildings," Energies, MDPI, vol. 16(16), pages 1-50, August.
    11. Gupta, V. & Deb, C., 2023. "Envelope design for low-energy buildings in the tropics: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 186(C).
    12. Ascione, Fabrizio & Bianco, Nicola & Maria Mauro, Gerardo & Napolitano, Davide Ferdinando, 2019. "Building envelope design: Multi-objective optimization to minimize energy consumption, global cost and thermal discomfort. Application to different Italian climatic zones," Energy, Elsevier, vol. 174(C), pages 359-374.
    13. Patricia Schneider-Marin & Anne Winkelkotte & Werner Lang, 2022. "Integrating Environmental and Economic Perspectives in Building Design," Sustainability, MDPI, vol. 14(8), pages 1-27, April.

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