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Simultaneous design and control optimization of smart glazed windows

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  • Lantonio, Nicole A.
  • Krarti, Moncef

Abstract

The paper examines the benefits of simultaneous optimization of various design and control parameters for smart glazing windows of office buildings. The design variables include the window U-value, solar heat gain coefficient (SHGC), visible transmittance (Tvis), and window-to-wall ratio (WWR). The tint-switching control strategies reviewed include outdoor air temperature (OAT), indoor air temperature (IAT), incident total solar radiation (ITSR), and incident beam solar radiation (IBSR). These variables are optimized independently and simultaneously to determine the best specifications to minimize operating costs while maintained desired thermal and visual comfort levels. Specifically, electrochromic (EC) smart glazed windows are optimally designed and controlled when installed for a prototypical medium office building in Denver, Colorado. The optimization analysis results are considered to determine the breakeven installation costs required for smart glazing systems to be cost competitive compared to their static glazing counterparts. The analysis found that the annual energy cost savings from optimally designed and controlled smart glazed windows ranged from 11% − 18%. Of the design parameters, the U-value proved to be the most impactful on energy and cost reductions, followed by SHGC and WWR. Indoor and outdoor air temperature-based controls are determined the most effective operation strategies. Simultaneously optimizing for the design and control parameters provided the highest annual savings.

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  • Lantonio, Nicole A. & Krarti, Moncef, 2022. "Simultaneous design and control optimization of smart glazed windows," Applied Energy, Elsevier, vol. 328(C).
    • Handle: RePEc:eee:appene:v:328:y:2022:i:c:s0306261922014969
    DOI: 10.1016/j.apenergy.2022.120239
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    References listed on IDEAS

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    1. Chul-Ho Kim & Seung-Eon Lee & Kwang-Ho Lee & Kang-Soo Kim, 2019. "Detailed Comparison of the Operational Characteristics of Energy-Conserving HVAC Systems during the Cooling Season," Energies, MDPI, vol. 12(21), pages 1-29, October.
    2. Myunghwan Oh & Chulsung Lee & Jaesung Park & Kwangseok Lee & Sungho Tae, 2019. "Evaluation of Energy and Daylight Performance of Old Office Buildings in South Korea with Curtain Walls Remodeled Using Polymer Dispersed Liquid Crystal (PDLC) Films," Energies, MDPI, vol. 12(19), pages 1-26, September.
    3. Barber, Kyle A. & Krarti, Moncef, 2022. "A review of optimization based tools for design and control of building energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    4. Krarti, Moncef, 2022. "Design optimization of smart glazing optical properties for office spaces," Applied Energy, Elsevier, vol. 308(C).
    5. Alessandro Cannavale & Ubaldo Ayr & Francesco Fiorito & Francesco Martellotta, 2020. "Smart Electrochromic Windows to Enhance Building Energy Efficiency and Visual Comfort," Energies, MDPI, vol. 13(6), pages 1-17, March.
    6. Hoon Lee, Jae & Jeong, Jinhwa & Tae Chae, Young, 2020. "Optimal control parameter for electrochromic glazing operation in commercial buildings under different climatic conditions," Applied Energy, Elsevier, vol. 260(C).
    7. Yang, Shiyu & Wan, Man Pun & Ng, Bing Feng & Dubey, Swapnil & Henze, Gregor P. & Chen, Wanyu & Baskaran, Krishnamoorthy, 2021. "Model predictive control for integrated control of air-conditioning and mechanical ventilation, lighting and shading systems," Applied Energy, Elsevier, vol. 297(C).
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    Cited by:

    1. Saman Abolghasemi Moghaddam & Catarina Serra & Manuel Gameiro da Silva & Nuno Simões, 2023. "Comprehensive Review and Analysis of Glazing Systems towards Nearly Zero-Energy Buildings: Energy Performance, Thermal Comfort, Cost-Effectiveness, and Environmental Impact Perspectives," Energies, MDPI, vol. 16(17), pages 1-30, August.
    2. Han, Shulun & Sun, Yuying & Wang, Wei & Xu, Wenjing & Wei, Wenzhe, 2023. "Optimal design method for electrochromic window split-pane configuration to enhance building energy efficiency," Renewable Energy, Elsevier, vol. 219(P1).
    3. Leonidas Zouloumis & Angelos Karanasos & Nikolaos Ploskas & Giorgos Panaras, 2023. "Multicriteria Design and Operation Optimization of a Solar-Assisted Geothermal Heat Pump System," Energies, MDPI, vol. 16(3), pages 1-16, January.
    4. Krarti, Moncef, 2023. "Optimal optical properties for smart glazed windows applied to residential buildings," Energy, Elsevier, vol. 278(PB).
    5. Luigi Maffei & Antonio Ciervo & Achille Perrotta & Massimiliano Masullo & Antonio Rosato, 2023. "Innovative Energy-Efficient Prefabricated Movable Buildings for Smart/Co-Working: Performance Assessment upon Varying Building Configurations," Sustainability, MDPI, vol. 15(12), pages 1-37, June.

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