Analysis of climate change impact on the preservation of heritage elements in historic buildings with a deficient indoor microclimate in warm regions

Heritage preservation presents uncertainties in the global warming context. Both predicting performance of environmental variables within built environment and assessing conditions heritage elements are today something a challenge. Based on current monitorings, this study uses artificial intelligence to predict future scenarios. In addition, assessed according threshold values. The Chapel University Seville was chosen as case study, applying both values from UNI 10829 index (PI) assess indoor conditions. A total 9 treatment zones were identified temperature humidity. To estimate variables, multilayer perceptron (MLP) monitored applied considering time series A2 scenarios each decade 21st century. MLP performances analysed, thus showing progressive reduction PI inside church: at end century, oscillated between 6.6 6.8% wooden objects, 1.8 2.3% paintings. results also showed increase number hours distance with respect optimal greater relative humidity, cooling dehumidification being most effective strategies. This represents progress towards appropriate strategies by using an extrapolated methodology climate change effect.