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Preventive conservation of works of art in historic buildings : assessment and modelling

Lien De Backer (UGent)
(2018)
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(UGent) and (UGent)
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Abstract
Most of the degradation of works of art in historic buildings is caused by unfavourable indoor climate conditions. The most important works of art receive invasive conservation treatment, called direct action, but this treatment is very expensive. To avoid invasive conservation treatments and ensure that works of art are protected for now and for the future, indirect action to mitigate the deterioration process is strongly advised. This holds that exposure to unfavourable indoor climate conditions should be avoided, as far as is compatible with its social use. To improve the indoor climate of the historic building, adaptations to the building or its systems are often necessary. Building performance simulation may be used in predicting the effect of a retrofitting strategy on the indoor climate, and in designing the adaptations to the building. In a previous project (FWO G.0420.05), a coupled 3D-HAM-CFD-model has been developed which predicts the local temperature and relative humidity variations of the indoor air as well as the hygrothermal interaction with hygroscopic materials like sculpture, panel paintings, books,…. Although these results are useful to evaluate the risk of moisture related damage, evaluating the indoor climate of an entire building with CFD is very time-consuming because of the computational cost, certainly if a long time period has to be analysed. Furthermore, besides evaluating preservation conditions, also other criteria, like annual energy use and comfort criteria are of interest. In this case Building Energy Simulation (BES) methods are more appropriate as they are able to simulate the indoor climate dynamics of the whole building for a long time span relatively fast. This allows to simulate, analyse and compare multiple retrofitting strategies and define the most ‘optimal’ solution. To assess the preservation conditions properly, it is necessary to take typical conditions in monumental historical buildings into account in the simulation study. In this work, the main focus is placed on the presence of moisture in heavy building walls and the occurrence of hygrothermal gradients (stratification) in the often very large interior volumes due to the limited control by (older) climate installation system. This PhD-dissertation, part of FWO-project G.0448.10, aims at developing a simulation strategy to estimate the predicted risk for works of art, taking into account these typical boundary conditions of an historical building. The emphasis lies on developing a fast calculating modelling approach intended for practical use.
Keywords
building physics, moisture, indoor climate, simulation, preservation, HAM-transfer, panel painting, HVAC, damage risk

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Citation

Please use this url to cite or link to this publication:

Chicago
De Backer, Lien. 2018. “Preventive Conservation of Works of Art in Historic Buildings : Assessment and Modelling”. Gent: Universiteit Gent.
APA
De Backer, Lien. (2018). Preventive conservation of works of art in historic buildings : assessment and modelling. Universiteit Gent, Gent.
Vancouver
1.
De Backer L. Preventive conservation of works of art in historic buildings : assessment and modelling. [Gent]: Universiteit Gent; 2018.
MLA
De Backer, Lien. “Preventive Conservation of Works of Art in Historic Buildings : Assessment and Modelling.” 2018 : n. pag. Print.
@phdthesis{8560690,
  abstract     = {Most of the degradation of works of art in historic buildings is caused by unfavourable indoor climate conditions. The most important works of art receive invasive conservation treatment, called direct action, but this treatment is very expensive. To avoid invasive conservation treatments and ensure that works of art are protected for now and for the future, indirect action to mitigate the deterioration process is strongly advised. This holds that exposure to unfavourable indoor climate conditions should be avoided, as far as is compatible with its social use.
To improve the indoor climate of the historic building, adaptations to the building or its systems are often necessary. Building performance simulation may be used in predicting the effect of a retrofitting strategy on the indoor climate, and in designing the adaptations to the building. In a previous project (FWO G.0420.05), a coupled 3D-HAM-CFD-model has been developed which predicts the local temperature and relative humidity variations of the indoor air as well as the hygrothermal interaction with hygroscopic materials like sculpture, panel paintings, books,{\textellipsis}. Although these results are useful to evaluate the risk of moisture related damage, evaluating the indoor climate of an entire building with CFD is very time-consuming because of the computational cost, certainly if a long time period has to be analysed. Furthermore, besides evaluating preservation conditions, also other criteria, like annual energy use and comfort criteria are of interest. In this case Building Energy Simulation (BES) methods are more appropriate as they are able to simulate the indoor climate dynamics of the whole building for a long time span relatively fast. This allows to simulate, analyse and compare multiple retrofitting strategies and define the most {\textquoteleft}optimal{\textquoteright} solution.
To assess the preservation conditions properly, it is necessary to take typical conditions in monumental historical buildings into account in the simulation study. In this work, the main focus is placed on the presence of moisture in heavy building walls and the occurrence of hygrothermal gradients (stratification) in the often very large interior volumes due to the limited control by (older) climate installation system. This PhD-dissertation, part of FWO-project G.0448.10, aims at developing a simulation strategy to estimate the predicted risk for works of art, taking into account these typical boundary conditions of an historical building. The emphasis lies on developing a fast calculating modelling approach intended for practical use.},
  author       = {De Backer, Lien},
  isbn         = {978-94-6355-098-7},
  language     = {eng},
  pages        = {267},
  publisher    = {Universiteit Gent},
  school       = {Ghent University},
  title        = {Preventive conservation of works of art in historic buildings : assessment and modelling},
  year         = {2018},
}