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Optimization of PV powered SPD switchable glazing to minimise probability of loss of power supply

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  • Ghosh, Aritra
  • Norton, Brian

Abstract

Suspended particle device (SPD) glazing is an electrically actuated switchable glazing. It requires alternate current (AC) power supply to switch from opaque to transparent state. To power this glazing using PV device requires inverter. Optimization of AC powered switchable SPD glazing using photovoltaic (PV) device has been evaluated using loss of power supply probability (LPSP). Electrically switchable direct current (DC) powered electrochromic glazing was also considered in this investigation as it doesn't need any inverter to couple with PV. It is concluded that behaviour of these glazings is the dominant factor in performance optimization outweighting than azimuthal orientation and inclination of PV.

Suggested Citation

  • Ghosh, Aritra & Norton, Brian, 2019. "Optimization of PV powered SPD switchable glazing to minimise probability of loss of power supply," Renewable Energy, Elsevier, vol. 131(C), pages 993-1001.
    • Handle: RePEc:eee:renene:v:131:y:2019:i:c:p:993-1001
    DOI: 10.1016/j.renene.2018.07.115
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    Cited by:

    1. Yujin Ko & Hyogeun Oh & Hiki Hong & Joonki Min, 2020. "Energy Consumption Verification of SPD Smart Window, Controllable According to Solar Radiation in South Korea," Energies, MDPI, vol. 13(21), pages 1-18, October.
    2. Mesloub, Abdelhakim & Ghosh, Aritra & Touahmia, Mabrouk & Albaqawy, Ghazy Abdullah & Alsolami, Badr M. & Ahriz, Atef, 2022. "Assessment of the overall energy performance of an SPD smart window in a hot desert climate," Energy, Elsevier, vol. 252(C).
    3. Pu, Jihong & Shen, Chao & Yang, Shaoxin & Zhang, Chunxiao & Chwieduk, Dorota & Kalogirou, Soteris A., 2022. "Feasibility investigation on using silver nanorods in energy saving windows for light/heat decoupling," Energy, Elsevier, vol. 245(C).
    4. Nundy, Srijita & Ghosh, Aritra, 2020. "Thermal and visual comfort analysis of adaptive vacuum integrated switchable suspended particle device window for temperate climate," Renewable Energy, Elsevier, vol. 156(C), pages 1361-1372.
    5. N. Yogambal Jayalakshmi & R. Shankar & Umashankar Subramaniam & I. Baranilingesan & Alagar Karthick & Balasubramaniam Stalin & Robbi Rahim & Aritra Ghosh, 2021. "Novel Multi-Time Scale Deep Learning Algorithm for Solar Irradiance Forecasting," Energies, MDPI, vol. 14(9), pages 1-23, April.
    6. Mohammad Dabbagh & Moncef Krarti, 2021. "Optimal Control Strategies for Switchable Transparent Insulation Systems Applied to Smart Windows for US Residential Buildings," Energies, MDPI, vol. 14(10), pages 1-24, May.
    7. Li, Chunying & Tang, Haida, 2020. "Evaluation on year-round performance of double-circulation water-flow window," Renewable Energy, Elsevier, vol. 150(C), pages 176-190.
    8. Guo, Wenwen & Kong, Li & Chow, Tintai & Li, Chunying & Zhu, Qunzhi & Qiu, Zhongzhu & Li, Lin & Wang, Yalin & Riffat, Saffa B., 2020. "Energy performance of photovoltaic (PV) windows under typical climates of China in terms of transmittance and orientation," Energy, Elsevier, vol. 213(C).

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