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Design and control optimisation of adaptive insulation systems for office buildings. Part 2: A parametric study for a temperate climate

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  • Jin, Qian
  • Favoino, Fabio
  • Overend, Mauro

Abstract

This paper is the second of a two part study, which aims to evaluate the performance of adaptive insulation. Part 1 proposes a simulation framework for optimising adaptive insulation design and control parameters, it describes its implementation, and validates the simulation strategy qualitatively. This second paper applies the simulation framework, by means of a parametric study on a specific building typology in a particular climatic region, to explore the potential of adaptive insulation in this context. Alternative adaptive insulation configurations and control strategies for opaque wall applications are evaluated, for an office room in a temperate climate of Shanghai, in order to optimise two design objectives: total primary energy saving and thermal comfort. It is found that adaptive insulation, when properly designed and controlled, has significant potential to improve both design objectives simultaneously. For the case study considered in this paper, yearly energy savings and thermal comfort improvements of up to 50% could be achieved by adaptive insulation compared to an equivalent astatic insulation alternative. The performance improvements of the adaptive insulation depend on the design choices (thermal mass, position of the adaptive insulation, switching range of insulation) and control strategy adopted.

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  • Jin, Qian & Favoino, Fabio & Overend, Mauro, 2017. "Design and control optimisation of adaptive insulation systems for office buildings. Part 2: A parametric study for a temperate climate," Energy, Elsevier, vol. 127(C), pages 634-649.
    • Handle: RePEc:eee:energy:v:127:y:2017:i:c:p:634-649
    DOI: 10.1016/j.energy.2017.03.096
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    References listed on IDEAS

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    4. Luo, Yongqiang & Zhang, Ling & Liu, Zhongbing & Wu, Jing & Zhang, Yelin & Wu, Zhenghong, 2018. "Numerical evaluation on energy saving potential of a solar photovoltaic thermoelectric radiant wall system in cooling dominant climates," Energy, Elsevier, vol. 142(C), pages 384-399.
    5. Dehwah, Ammar H.A. & Krarti, Moncef, 2021. "Cost-benefit analysis of retrofitting attic-integrated switchable insulation systems of existing US residential buildings," Energy, Elsevier, vol. 221(C).
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    8. Miren Juaristi & Thaleia Konstantinou & Tomás Gómez-Acebo & Aurora Monge-Barrio, 2020. "Development and Validation of a Roadmap to Assist the Performance-Based Early-Stage Design Process of Adaptive Opaque Facades," Sustainability, MDPI, vol. 12(23), pages 1-27, December.
    9. Pierluigi De Berardinis & Marianna Rotilio & Luisa Capannolo, 2017. "Energy and Sustainable Strategies in the Renovation of Existing Buildings: An Italian Case Study," Sustainability, MDPI, vol. 9(8), pages 1-20, August.
    10. Pathomthat Chiradeja & Atthapol Ngaopitakkul, 2019. "Energy and Economic Analysis of Tropical Building Envelope Material in Compliance with Thailand’s Building Energy Code," Sustainability, MDPI, vol. 11(23), pages 1-23, December.
    11. Mishra, G.K. & Tiwari, G.N., 2020. "Performance evaluation of 7.2 kWp standalone building integrated semi-transparent photovoltaic thermal system," Renewable Energy, Elsevier, vol. 146(C), pages 205-222.
    12. Tyler R. Stevens & Nathan B. Crane & Rydge B. Mulford, 2023. "Topology Morphing Insulation: A Review of Technologies and Energy Performance in Dynamic Building Insulation," Energies, MDPI, vol. 16(19), pages 1-38, October.
    13. Zeng, Zhaoyun & Augenbroe, Godfried & Chen, Jianli, 2022. "Realization of bi-level optimization of adaptive building envelope with a finite-difference model featuring short execution time and versatility," Energy, Elsevier, vol. 243(C).
    14. Giovannini, Luigi & Favoino, Fabio & Pellegrino, Anna & Lo Verso, Valerio Roberto Maria & Serra, Valentina & Zinzi, Michele, 2019. "Thermochromic glazing performance: From component experimental characterisation to whole building performance evaluation," Applied Energy, Elsevier, vol. 251(C), pages 1-1.

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