## 1 Introduction
[15] analyzed thetemperature fluctuations with IoT (Internet of Things) technology to assess the potential risk for the preservation of cultural artifacts. [PERSON] et al., in their work [23], focused on assessing the impact of variable outdoor and indoor loads on the T and RH of indoor air in three museums from a temperate climate. They found that T and RH values were both above and below the recommended range. [PERSON] et al. [24] analyzed the internal climate of a historical building located in a warm climate. The authors used artificial intelligence (multilayer perceptrons) to predict the influence of climate change on the indoor microclimate. For the characterization of the internal climate, they used a performance index (PI) complemented with a variance indicator. The results showed that the most suitable preservation strategies were the dehumidification and cooling of the space where the cultural artifacts were exhibited. The energy efficiency of the air conditioning system in heritage buildings is of particular importance and has been studied by a number of authors, of which we particularly mention [PERSON] et al. [29] and [PERSON] et al. [30]. In Table 1 we present references for different types of artifacts. The Romanian national cultural heritage generally consists of cultural assets displayed by temporary or permanent exhibitions in adequate museum spaces [11] that are considered to respect environmental parameters specific to a museum climate (infra-climate). To preserve historical buildings and their cultural assets, the optimal values of the main parameters characterizing the indoor climate--air temperature and relative humidity--are presented in the Environmental Guidelines ICOM-CC and IIC Declaration [19], Law No. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Author** & **Objective** & **Region** & **Period of Time** & **Methodology** & **HVAC** & **Artifacts** \\ \hline [PERSON] et al., 2021 [24] & Artificial intelligence to predict environmental performance in future scenarios & warm & 2015–2019; 2030–2100 & UNI 10829 & No & Wooden objects, paintings \\ [PERSON] et al., 2022 [31] & Fungal growth & temperate & October 2020–March 2021 & AHP\({}^{\text{\textregistered}}\) 20 C AUX identification system & No & Textile \\ [PERSON] & Sensitivity of heating performance of energy self-sufficient building & warm & September 2019–November 2020 & EnergyPlus simulation model. & yes & N/A \\ [PERSON] & & & & & & \\ ishiz & Hydrothermal analysis & high humidity & Since February 2018 & Numerical model to simulate humidity and temperature changes in different cases & no & Metal artifacts \\ [PERSON] & Computational model on energy impact & temperate, humidity & August 2016–August 2017 & ASHRAE & & \\  & during the year & temperature, humidity & August 2016–August 2017 & HAMBASE & yes & Paper \\ [PERSON] et al., 2021 [35] & Climate change & hot and dry & N/A & questionnaire & yes & Textiles, stone, fossils \\  & The analysis of the effects of the frequency of religious services and & & & & & fossils \\ [PERSON] & the number of people at the services on the formation of temperature and humidity conditions & temperate & May 2018–May 2019 & Numerical method of calculating elementary balances & no & wood \\ [PERSON] & Assessment of environmental conditions & warm & March 2019–October 2020 & VOC analysis & no & glass \\ [PERSON] & Indoor environmental quality & warm & February 2019–April 2021 & VOC analysis & no & manuscripts, scientific instruments, portrait paintings \\ \hline \hline \end{tabular}
\end{table} 
Table 1: References on topic. 182/2000 regarding the protection of the movable national cultural heritage, republished in 2008, and Law No. 311 of July 2003 (republished), Romania being a signatory to the international conventions in this regard. Law No. 182/2000 was completed by Governmental Decision No. 886/2008 for the approval of the classification norms of movable cultural assets, and by Governmental Decision No.