## 2 Materials and Methods
### Methodology  
The operation of a system designed and optimized for the Portuguese conditions was simulated for different world locations. Seven capital cities, each taken as representative of different continents in both the Northern and Southern Hemispheres, were considered: Beijing, China (39.9\({}^{\circ}\) N, 116.4\({}^{\circ}\) E), Baltimore (Baltimore was selected instead of Washington D.C., since there were no available climate data for the latter. Therefore, the data from the closest main city were used in this study), USA (39.3\({}^{\circ}\) N, 76.6\({}^{\circ}\) W), Lisbon, Portugal (38.7\({}^{\circ}\) N, 9.1\({}^{\circ}\) W), New Delhi, India (28.6\({}^{\circ}\) N, 77.2\({}^{\circ}\) E), Brasilia, Brazil (15.8\({}^{\circ}\) S, 47.9\({}^{\circ}\) W), Cape Town, South Africa (33.9\({}^{\circ}\) S, 18.4\({}^{\circ}\) E), and Canberra, Australia (35.3\({}^{\circ}\) S, 149.1\({}^{\circ}\) E). These locations were chosen, since they represent the capital cities of important countries located in different continents and hemispheres, where the system's operation can be of interest. On the other hand, most of these countries also have high energy savings concerns and represent high potential of worldwide  
Figure 2: TRNSYS® diagram of a solar thermal system with an adsorption module. Solid lines represent water flow, while dashed lines represent information flow.  
science readers interested in exploring and testing the present system. The weather data for these locations were downloaded from the EnergyPlus website [21]. For each location, the effect of the solar collectors' inclination was also investigated, considering a variation of \(\pm 10^{\circ}\) in relation to the location's latitude, with steps of \(5^{\circ}\), i.e., analyzing 5 different collectors' slopes per location.  
The adsorption system's performance was evaluated by the difference between the yearly energy consumption of the backup water heater using a conventional energy storage system (i.e., without an adsorption module) and that using a system with an adsorption module, which is written as:  
\[\text{Q}_{\text{saving}}=\text{Q}_{\text{backup,conv,year}}-\text{Q}_{\text{ backup,ads,year}}, \tag{1}\]  
where \(\text{Q}_{\text{saving}}\) is the annual backup energy saving, i.e., the annual adsorption system's performance. \(\text{Q}_{\text{backup,conv,year}}\) is the yearly energy consumption of the backup water heater using a conventional energy storage system, and \(\text{Q}_{\text{backup,ads,year}}\) represents the yearly energy consumption of the backup water heater using a system with the adsorption module.  
The main parameters considered in this study are presented in Table 1 and Figure 3. The adsorber, the condenser and evaporator dimensions, and the valves' setpoints corresponded to its optimal configuration for Portuguese conditions, defined in Reference [18]. These parameters were similar for all the assessed locations. On the other hand, the mains water temperature entering the system varied according to the weather data for each location.  
The dataset with the results of the solar DHW system with adsorption module performances operating in the seven world locations and the respective climate data is publicly available online (see Supplementary Materials, hosted at Figshare [22]).