## 2 Related Works
\begin{table}
\begin{tabular}{l l} \hline
**Title and Citation** & **Countries** \\ \hline \hline - Self-Consumption Potentials of Existing PV Systems in German Households [13] & \\ - Economics of Residential Photovoltaic Battery Systems in Germany: The Case of Tesla’s Powerwall [14] & DE \\ - Techno-economic analysis of photovoltaic battery systems and the influence of different consumer load profiles [15] & \\ \hline - What drives the profitability of household PV investments, self-consumption and self-sufficiency? [2] & DE, IE \\ \hline - Economic assessment of residential PV systems with self-consumption and storage in Portugal [PERSON] et al. [4] & \\ - Energy storage system for self-consumption of photovoltaic energy in residential zero energy buildings [16] & \\ - Tesla Power Wall in the United States and Portugal—A Comparative Analysis on the Use of Storage with Small & PT \\ Scale Photovoltaic Systems [17] & \\ - On the Value Proposition of Battery Energy Storage in Self-Consumption Only Scenarios: A Case-Study in Madeira & \\ Island [10] & \\ \hline - Photovoltaic energy systems with battery storage for residential areas: an economic analysis [PERSON] et al. [18] & IT \\ \hline - Solar photovoltaic-battery systems in Swedish households–Self-consumption and self-sufficiency [PERSON] et al. [19] & SW \\ - Assessment of economic benefits of battery energy storage application for the PV-equipped households in Finland & FI \\ - [PERSON] et al. [20] & \\ \hline - Comparison of different discharge strategies of grid-connected residential PV systems with energy storage in & HU \\ perspective of optimal battery energy storage system sizing [21] & \\ \hline - Quantifying self-consumption linked to solar home battery systems: Statistical analysis and economic assessment & BE, ES, DE, DK, HU, IT, PT, RO, FR \\ and UK & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Shortlist of related works and the countries considered. which is associated with the battery itself (C-rate) and the inverter size. For example, [PERSON] et al. [22] showed that there is a positive effect of the SS for maximum charge/discharge rates between 1 and 4 kW. However, after 4-5 kW, no further improvements are observed. In addition, concerning the economic viability of BESS, other authors argue that this is very susceptible to the regulatory frameworks in place [2; 15]. For example, [PERSON] et al. [2] compared the levels of SC and SS in Germany and Ireland, finding that, in the former, the investments in PV-BESS with smaller storage would be profitable at a storage cost around 500 \(\upxi\)/kWh. However, this would not be the case in Ireland, where the cost of storage would need to decrease further, or the electricity prices increase considerably to make PV-BESS an attractive investment. Besides the regulation frameworks, geography also plays an essential role in the levels of SC and SS. For example, in [22], the authors compared 10 European countries and found that even within the same nations, the SS rates will vary considerably (e.g., between 10% and 50% in Italy). However, the central tendency (median) varied between 30% and 35% across the studied countries, with southern countries (Portugal, Italy and Greece) showing slightly higher SS rates. This result contrasts another work showing that at northern latitudes, there is a lower utilization of the PV, hence causing an immediate decrease in the SS rates [19]. Finally, and despite not being considered by the majority of the authors, the simulation setups will also considerably affect the results. Among these, the more important aspects are the nature of the load profiles and the simulations' time resolution. Concerning the former, the authors of [15; 19] showed that whenever possible real profiles should be preferred over averaged or artificially generated data. For example, in [15], it is demonstrated that using aggregated load profiles leads to higher shares of SC than the use of an individual profile.