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This paper examines the remarkable growth of photovoltaic (PV) solar energy technology in Brazil, which stands out among the leading countries in photovoltaic installations. The recent implementation of Law 14300 on grid-connected PV systems has caused a stir in the Brazilian market, with investors anticipating installations to avoid reductions in benefits. This phenomenon, previously observed in Europe, instigates an understanding of the variables underlying the exponential growth of the Brazilian market. This study seeks to identify the predictors that explain the PV systems diffusion in Brazil, in two stages: a systematic review of the literature to map approaches and methods, followed by the construction of a database and the application of predictive models. The literature revealed 24 methods in six approaches, with 44 predictors. For Brazil, the database contains 90,129 instances, 22 predictors, and covers all 5570 municipalities. The results highlight the crucial importance of the electricity tariff as the main predictor, followed by irradiation and municipal Gross Domestic Product. Predictors such as the number of companies, minimum wage, HDI education, demographic density, and vehicle fleet prove to be relevant. In conclusion, the spatially explicit analysis highlights the complexity of the market, offering valuable implications for energy planners and stakeholders. [ABSTRACT FROM AUTHOR]

Distributed generation (DG) plays a strategic role in transitioning from a fossil to a renewable energy matrix, encouraging the reduction of energy poverty and access to green energy in traditional communities. This paper proposes a statistical model based on structural equations to analyze the influence of DG on Well-Being (CWB), and to estimate the causal relationships between the latent variables: economic (ECO), environmental (ENV), social (SOC), distributed generation system (DGS) and well-being (CWB) in a rural area in Brazil. The research is carried out in a Quilombola Community located in the south of Brazil. In the data collection process, a questionnaire was used in a Likert scale format, applied in loco to the residents of the Quilombola community. This database was imported into the SmartPLS software for analysis using a partial least squares approach. Structural equation-based modelling (SEM) results confirmed 66% of the hypotheses. The latent variables SOC and DGS directly and positively affected CWB with (β = 0.573) and (β = 0.433), respectively. The Economic variable with (β = 0.396) had a direct and positive effect on the DGS variable, and the DGS variable with (β = 0.404) had an immediate and positive impact on the CWB. The variables observed with the highest participation in the latent variables were: belonging (62%), social capital (31%), greenhouse gases (56%) and incentive policies (45%). The proposed model demonstrates that socioeconomic changes, carried out from specific public policies around the installation of DG, should contribute to the well-being of traditional communities and the reduction of energy poverty. • An analysis of the well-being development of a rural community was done. • For data collection process was used a Likert scale. • Only the social dimension had a direct effect on the well-being of the community. • The designed model demonstrated that the variables are susceptible to changes, influencing on public policies. • DG promotes well-being beyond technical issues and should encourage its installation in rural communities. [ABSTRACT FROM AUTHOR]

Irrigation plays a vital role in sustaining agricultural production during periods of low rainfall. While ensuring increased productivity and economic profitability, irrigation is associated with high electrical energy consumption. In 2018, Brazilian Decree 9642 eliminated discounts for rural consumers, established in 2013. Leveraging renewable energy sources for irrigation can mitigate nonrenewable energy dependence and reduce the electricity costs for irrigators. This study aimed to nationally compare the economic viability of on-grid photovoltaic systems as an alternative to conventional grid energy for agricultural irrigation, both pre- and post-Brazilian Decree 9642. We conducted a comprehensive life cycle cost (LCC) analysis for both systems before and after discount termination, facilitating more informed economic decisions. The LCC of the conventional grid energy increased by over 40% after the Decree, whereas the photovoltaic system saw a modest increase of 12%. The solar system's 28% cost advantage over the conventional grid post-Decree underscores its resilience to regulatory changes. The photovoltaic system demonstrated viability when its LCC was equal to or lower than the comparator system's LCC. Notably, the economic viability of the photovoltaic system extended across all geographic regions for the grid-connected system. This study highlights the competitive pricing, versatility, and economic impact of photovoltaic systems in the context of changes in Brazilian tariff legislation. [ABSTRACT FROM AUTHOR]

• Proposed method to evaluate PV + BESS economic landscape for brazilian dwellings. • Positive impact of adopting a BESS in the PU from the energy perspective. • BESS costs impact economic viability and need government incentive. • Method can be adapted to other scenarios. This paper proposes a methodology to assess the energy and economic impact of adopting small-scale residential photovoltaic (PV) systems paired with lithium-ion battery energy storage (BESS) systems in single-family homes, under the current energy feed-in legislation. The suggested methodology was applied to a case study of a prosumer unit (PU) in Brazil. Data from energy bills, measured PV generation, BESS behaviour, and energy consumption were analysed to compare different viewpoints and estimate key economic indicators. As a result, the PV + BESS combination increases residential users' energy self-consumption and self-sufficiency, resulting in respective increases of 15 % and 2 %. Under the conventional tariff, adopting the PV + BESS system led to an average 29 % reduction in electricity costs compared to scenarios without PV + BESS. Furthermore, by transitioning to the white tariff mode in conjunction with PV + BESS, the PU achieved a 49 % reduction. This result emphasizes the advantages of time-of-use adoption for PV + BESS consumers. A greater discrepancy between tariff periods enhances the feasibility of storing off-peak energy for use during peak periods. Currently, BESS implementation costs impede competitiveness, with attractive LCOS metrics achieved only at costs below $600.00/kWh and MRAs below 9 %. BESS + PV lowers generation costs compared to off-peak rates, increasing the viability of shared usage. Integrating PV + BESS systems with rate switching significantly diminishes electricity expenses. The substantial BESS implementation cost necessitates a noteworthy rate differential for viability, which could potentially impact non-PV and non-BESS consumers. [ABSTRACT FROM AUTHOR]