Regenerative Digital Design for Climate Vulnerability Assessment: The Experimentation for the Heritage Buildings in Gerace
摘要
According to the latest “Policy Document on Climate Action for World Heritage 2023” (UNESCO), the effects of climate change represent a growing threat to the assets of the historical heritage of cities, with high impacts for their integrity and safety. Analyzing and knowing the level of vulnerability of the historical building heritage for conservation purposes is today an urgent matter. This chapter illustrates the ongoing results of the contribution of ABITAlab dAeD UniRC for the GE.NE.SIS research “Management of seismic risk for the touristic enhancement of the historical centers of Southern Italy.” The aim is to develop the studies of climate vulnerability and assessment of “multi-hazard” impacts that could influence the seismic risk of the historical center of Gerace, through predictive simulations of climate scenarios. The results and data obtained will contribute to the “informative dataset” of the GENESIS platform under construction useful to optimize recovery and valorization interventions for the safe and conscious use of cultural assets and tourist routes. The study uses advanced models and Regenerative Digital Design tools (Rhinoceros, Grasshopper, LadyBug tool, Autodesk Forma and CBE Clima Tool), developing a climate dataset in line with the scenarios defined by the Intergovernmental Panel on Climate Change (IPCC) for the years 2024, 2030, 2050, on the building aggregates selected for the experimentation (clusters). The study identifies potential impacts that may lead to physical damage of architectural assets capable of compromising their structural stability by extreme events; deterioration of materials due to variations in temperature and humidity; thermal conditions and discomfort in outdoor environments. Finally, the study develops and proposes urban optimization models through the creation of digital prototypes and thermal comfort mapping for the definition of tourist-cultural itineraries with optimal microclimatic conditions, such as information to be transferred in an open form to the GE.NE.SIS research platform under construction.