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Multi-objective optimization of microclimate in museums for concurrent reduction of energy needs, visitors’ discomfort and artwork preservation risks

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  • Schito, Eva
  • Conti, Paolo
  • Testi, Daniele

Abstract

In museums, hygrothermal conditions must be carefully controlled by HVAC system to avoid artwork degradation. Higher energy requirements are needed for the maintenance of the suitable thermal environment. Moreover, a comfortable thermal sensation is needed for a positive museum experience. In light of current policies on energy efficiency, we propose an original procedure for the concurrent achievement of three goals: artwork preservation, energy efficiency, and human thermal comfort. This procedure is based on the application of multi-objective optimization and aims at correctly choosing temperature and relative humidity setpoints, through the use of dynamic simulations and evaluation of three indexes as objectives. This strategy can be particularly effective in museums hosted in historic buildings, where envelope and HVAC refurbishment is often forbidden or discouraged due to the architectural constraints. Furthermore, the retrofit action is almost costless. A case study is presented: first, a monitoring campaign in an Italian museum has been used for the validation of dynamic simulation models of the building-HVAC system; then, the validated models have been used to show that improvements of artwork lifetime, human thermal comfort and reduction of energy requirements of the HVAC system are possible, if currently-used hygrothermal setpoints (based on technical standards and guidelines) are replaced with those identified by the optimization problem.

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  • Schito, Eva & Conti, Paolo & Testi, Daniele, 2018. "Multi-objective optimization of microclimate in museums for concurrent reduction of energy needs, visitors’ discomfort and artwork preservation risks," Applied Energy, Elsevier, vol. 224(C), pages 147-159.
    • Handle: RePEc:eee:appene:v:224:y:2018:i:c:p:147-159
    DOI: 10.1016/j.apenergy.2018.04.076
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    1. Ascione, Fabrizio & Ceroni, Francesca & De Masi, Rosa Francesca & de’ Rossi, Filippo & Pecce, Maria Rosaria, 2017. "Historical buildings: Multidisciplinary approach to structural/energy diagnosis and performance assessment," Applied Energy, Elsevier, vol. 185(P2), pages 1517-1528.
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    Cited by:

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    2. Paolo Conti & Giovanni Lutzemberger & Eva Schito & Davide Poli & Daniele Testi, 2019. "Multi-Objective Optimization of Off-Grid Hybrid Renewable Energy Systems in Buildings with Prior Design-Variable Screening," Energies, MDPI, vol. 12(15), pages 1-25, August.
    3. Jian Ma & Tomo Inoue & Qiaoling Fang & Kunming Li & Mengqi Li, 2023. "A Study on Optimal Opening Configuration for Art Museum Exhibition Space Considering Daylight Performance, Indoor Thermal Comfort, and Energy Consumption," Sustainability, MDPI, vol. 15(23), pages 1-25, November.
    4. Ascione, Fabrizio & Bianco, Nicola & Mauro, Gerardo Maria & Vanoli, Giuseppe Peter, 2019. "A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin," Applied Energy, Elsevier, vol. 241(C), pages 331-361.
    5. Elkadi, Hisham & Al-Maiyah, Sura & Fielder, Karen & Kenawy, Inji & Martinson, D. Brett, 2021. "The regulations and reality of indoor environmental standards for objects and visitors in museums," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    6. Ding, Yan & Wang, Qiaochu & Kong, Xiangfei & Yang, Kun, 2019. "Multi-objective optimisation approach for campus energy plant operation based on building heating load scenarios," Applied Energy, Elsevier, vol. 250(C), pages 1600-1617.
    7. Mao, Ning & Hao, Jingyu & He, Tianbiao & Song, Mengjie & Xu, Yingjie & Deng, Shiming, 2019. "PMV-based dynamic optimization of energy consumption for a residential task/ambient air conditioning system in different climate zones," Renewable Energy, Elsevier, vol. 142(C), pages 41-54.
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    9. Joana Fernandes & Maria Catarina Santos & Rui Castro, 2021. "Introductory Review of Energy Efficiency in Buildings Retrofits," Energies, MDPI, vol. 14(23), pages 1-18, December.

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