## 3 Results and Discussion
### Application of the Time-Saving Methodology
The indoor climate was assessed using three different analyses [29]: i.e., biological decay using the isopleth method, chemical decay using the equivalent lifetime concept, and mechanical decay in which the method varies according to the material. Secondly, in this example, the obtained values are compared against sets of values for each timestep, which takes much more time to perform. Instead of taking ca. 34 h to process the obtained data using the traditional methodology, the data were assessed and presented in the form of the figures shown in Section 3.1 under 17 h using MATLAB. The benefits of using this type of software are more obvious when performing similar analyses in which the necessary adaptations will only take a few minutes to perform, whereas, in the traditional methodology, this could take up to several hours, depending on the complexity of the analysis. In addition, the use of MATLAB has the advantage of performing the work independently from the user, contrary to the traditional methodology, in which the updates have to be performed manually. This means that while MATLAB is assessing data, the user can develop other tasks. Another problem that gained emphasis due to the subdivision of the simulations among several computers was the time taken to set up the simulations to run. This procedure is normally performed manually, which takes a considerable amount of time to perform, and it will depend on the number of simulations that are assigned to each computer. For instance, if each of the 20 PC#2 were assigned 20 simulations to run, then the time spent to set up all the 400 simulations would be almost 7 h. It took around 20 min to set each computer in Ref. [34] since this included the inputting of the necessary data for the model to run properly, as well as checking if the inputs were well introduced in the model. In order to decrease the amount of time taken by this procedure, an original code that automatically sets the inputs in the WUFI model was written in XML language. The WUFI model is saved as an xml file instead of the typical mwp file, and then it is changed using  
Figure 8: Scheme of the developed simulations in Ref. [34] to assess the performance of four types of retrofit measures in historic buildings that house artifacts for five climates and two IPCC scenarios in the near future and far future in terms of artifacts conservation metrics. either MATLAB or OCTAVE. This procedure allows for saving a large amount of time when performing changes in existing simulations and facilitates the process of creating new simulations considerably, which is fundamental for large-sized hygothermal simulation studies. Furthermore, this development decreases the possibility of human error since the software user no longer has to perform the same monotonous procedure for a large number of simulations. Instead of taking 20 min to set up each computer, the simulations were set up in 2.5 s. The time it would take to set up the 400 simulations will decrease from ca. 7 h to ca. 50 s. Overall, this means that the time it would take to set up the 1350 simulations manually would be ca. 23 h. Since the XML code cuts this time to 3 min, the simulation's overall run and setup time would drop 62%, i.e., from 1542 to 584 h. The larger the number of simulations included in the performed analysis is, the more effective becomes this time-saving procedure. In order to show the advantages of the methodology presented herein more straightforwardly, the time savings discussed throughout this section of the paper are summarized in Table 3. Based on the values presented in this table, it is visible that setting up the simulations becomes negligible in terms of time consumption. A task that takes almost a day to perform manually only takes at most 3 min to perform using software such as MATLAB. The data processing becomes almost non-time-consuming, although the extent of the time savings will depend on the analysis that has been performed [34].