## 1 Introduction
### Whole-Building Modeling Using WUFI(r)Plus  
Nowadays, thermal and hygothermal models are frequently used in the literature due to their flexible capacity to thoroughly analyze several parameters that influence the building's behavior. In historic buildings, this type of tool is very useful because it allows a thorough analysis of any improvement measure prior to its application and, consequently, decreases the risk of irrecuperable damages [24]. Nonetheless, the development of these models is usually associated with a thorough monitoring campaign of the case study. The results of these campaigns are used to calibrate the developed models so that they represent an accurate reality (e.g., [25]). The calibration of these models, though a time-consuming process, is a crucial task if their outputs are to be reliable [16; 26].  
The simulations shown in this paper were run in WUFI(r)Plus since it is one of the most known software where studies concerning the hygothermal behavior of buildings have been developed, but mainly due to the fact that it has been extensively validated over the years, it has been continuously subjected to updates and because it accounts for many of the behaviors that affect the thermal and moisture behavior of buildings [27].  
The software determines the indoor temperature and relative humidity for each zone of the model by taking into consideration the heat and moisture transfer that occurs through components, which is induced by the boundary conditions; the gains/losses due to natural and/or mechanical ventilation and the gains/losses due to internal heat or moisture sources/sinks, i.e., people, lights, and equipment.  
The studies that use this kind of software have the drawback of requiring a large number of simulations so that the analysis is thorough and accurate (e.g., [28]). This situation is even more time-consuming if the study is performed using the hygothermal mode. The choice between using the thermal mode or the hygothermal mode will depend on the goals of the study. For example, [PERSON] et al. [13] developed hygothermal computational models of two museums located in The Netherlands and in Belgium to study how artifacts will fare in the future. The use of these hygothermal models coupled with future weather files allowed to obtain the future indoor conditions. Since the deterioration processes that affect the artifacts are dependent on both temperature and relative humidity [29], it is only natural that the authors opted for hygothermal models.  
Several studies that use either thermal or hygothermal models to conduct a thorough analysis of the indoor climate can be found in the literature. For example, [PERSON] et al. [30] constructed a model of San Francisco de Asis church based on the results of the monitoring campaign that they installed to study retrofit opportunities for Spanish churches while taking into account the building's energy consumption, the occupants' thermal comfort and the preservation of the artifacts; and [PERSON] et al. [31] analyzed the energy impact of four typologies of buildings among 20 European cities using a model that they developed for the Hermitage Amsterdam museum [22]. Nonetheless, the time needed to perform these studies is very substantial, and it will greatly increase with analysis complexity [28].  
This paper also presents a methodology that aims to decrease, as much as possible, the time required to develop large-sized hygothermal simulation studies, thus making this type of study more time efficient. Several techniques were used to minimize the time required for the first three stages of simulation studies, i.e., simulation setup, simulation run, and results processing. The benefit of using this methodology is shown in the study presented in Section 3.2. The obtained time savings are reported while comparing with a more traditional way of performing simulations.