Socioeconomic analysis of incentive public policies for the use of renewable energy per consumer class in Brazil

Pereira, Lígia C.; Lusvarghi, Sergio Augusto dos Santos; Arango, Lucas Gustavo; Arango, H.; Bonatto, Benedito Donizeti

doi:10.1109/isgt-la.2015.7381130

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…This is because the availability of energy, concern for the environment, and the long-term economy can be advantages for small businesses. The results are in line with those of Pereira et al [29], who observes that the installation of microgeneration units can bring tax benefits, and reduction of energy expenditure--an interesting investment in the long run. Moreover, they are aligned with the research of Ren and Sovacool [85], where they evaluate the persistent development of wind energy, and conclude that investment is a prerequisite for increasing energy security and making it a priority in development planning of renewable energies.…”

Section: Discussionsupporting

confidence: 92%

Microgeneration of Wind Energy for Micro and Small Businesses: Application of ANN in Sensitivity Analysis for Stochastic Economic Feasibility

et al. 2020

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To reduce the risks of a new energy crisis and increase energy availability, the use of renewable energy sources (RES) is important and recommended. In Brazil, micro and small companies contribute about 25% of gross domestic product (GDP), and electric energy is employed intensively, so the importance of microgeneration is observable. This research aims to analyze the economic viability of the micro-generation wind energy project for micro and small businesses. Thus, three Brazilian states, Rio Grande do Norte, Rio Grande do Sul and Minas Gerais were considered, and different scenarios were proposed. A feasibility analysis is then performed, followed by a stochastic analysis using Monte Carlo simulation (MCS). Finally, models of artificial neural networks (ANN) are used to evaluate the relative importance (RI) of the variables. The results show that none of the states appears economically feasible under the conditions presented. In the stochastic analysis, the probability of viability is between 17% and 24% in all states, which shows the low probability of viability for microgeneration. Through ANN training, it was possible to calculate the RI, in which it is possible to identify the variables that have most impact on the net present value (NPV) in all states; it is considered the most important variable in the project's viability. In addition, the discussion explores the importance of public incentives for promoting investment in renewable energy, which can reduce investment costs and make it attractive to small and medium-sized businesses. INDEX TERMS Microgeneration, wind power, stochastic feasibility analysis, sensitivity analysis, artificial neural networks.

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Section: Discussionsupporting

confidence: 92%

Microgeneration of Wind Energy for Micro and Small Businesses: Application of ANN in Sensitivity Analysis for Stochastic Economic Feasibility

et al. 2020

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“…The TAROT model was developed to represent a DisCo in a simple way in order to capture the essential aspects of its economic and financial performance (Arango et al 2008;Pereira et al 2015). Illustrated in Fig.…”

Section: Tarot Model: Optimized Tariffmentioning

confidence: 99%

“…Despite the liberalization and the introduction of market rules, especially in the generation segments, the electricity transmission and distribution continued to function as natural monopolies and, for this reason, price regulation became very important as it restrains any power monopoly abuse. In this context, one of the most relevant aspects of the recent reforms introduced in the electricity power sector is the search for a price model that preserves the interests of consumers, guarantees the profitability of investors and stimulates sector efficiency (Pereira et al 2004;Arango et al 2008;Pereira et al 2013Pereira et al , 2015Cortez et al 2018a, b;Cullmann and Nieswand 2016;Scalzer et al 2019;Costa et al 2019;Arango et al 2017Arango et al , 2011.…”

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confidence: 99%

Aggregated Economic Analysis of the Brazilian Electricity Distribution Companies Using a Regulated Market Economic Model

Cortez

Bonatto

Arango

et al. 2020

J Control Autom Electr Syst

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While most of the research work in the field of electrical engineering was aroused by the scientific challenges to be overcome, it is fair to recognize that the practical importance of engineering hinges on its economic impact on the market, the whole society and the environment. Thus, nowadays economic modeling, analysis and optimization of the electricity market is of the utmost significance. This work presents an aggregated economic analysis of the Brazilian electricity distribution companies using an economic model of a regulated market. The fundamental agents (consumer, power utility, government, society) are represented in the TAROT-Optimized Tariff Model, which is applied to the majority of the distribution companies in Brazil, based on public real data available from ANEEL-the Brazilian electrical energy regulatory agency. This reveals the economic flows in the regulated market of each company and also presents their financial status in terms of over-investments or under-investments compared to optimal investments and positive, negative or zero economic value added of each company. Moreover, the model analysis shows the socioeconomic welfare added to society in face of different optimization objectives.

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“…The regulatory economic electricity market model that is used in this work is the TAROT. This model was already used to analyse the impact of electricity theft on power quality [30], for evaluation of public policies in smart grids [31], to do a socioeconomic analysis of incentive public policies for the use of renewable energy per consumer class in Brazil [32], aggregated economic analysis of the Brazilian electricity distribution companies [33], the impact of quality investment in the electricity market [34], economic evaluation of regulatory tariff risk planning for a Brazilian electric Power Company [35], etc. It is a model that represents the Brazilian regulated electricity distribution Therefore, in this paper, the regulatory economic market model TAROT is applied taking into consideration the increase in the number of prosumers (consumers who produce their own energy), ordinary consumers and low-income consumers, in order to assess how the current TSEE public policy affects the regions already specified, and evaluate possible solutions.…”

Section: Regulatory Economic Market Modelmentioning

confidence: 99%

Section: Regulatory Economic Market Modelmentioning

confidence: 99%

Evaluating Public Policies for Fair Social Tariffs of Electricity in Brazil by Using an Economic Market Model

et al. 2020

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This paper presents an evaluation of public policies for fare social tariffs of electricity in Brazil by using an economic model of the electricity market (TAROT-Optimized Tariff) that represents the regulated market of distribution of electrical energy. It was considered the scenario of an increasing number of prosumers (residential consumers who self-generate energy) in two of the five major regions of Brazil which have quite different socioeconomic characteristics. However, the current electricity regulation is the same for all concessionaires. In this work a new public policy is proposed, allowing the use of regulation in a different way aiming for a best result for Brazil and particularly for the poor population that today are not able to enjoy the benefits of electricity due to high tariff values. It is also discussed how this can contribute in a positive way to improve the income distribution in these regions, which is evaluated by using the GINI index.

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Socioeconomic analysis of incentive public policies for the use of renewable energy per consumer class in Brazil

Cited by 8 publications

References 5 publications

Microgeneration of Wind Energy for Micro and Small Businesses: Application of ANN in Sensitivity Analysis for Stochastic Economic Feasibility

Microgeneration of Wind Energy for Micro and Small Businesses: Application of ANN in Sensitivity Analysis for Stochastic Economic Feasibility

Aggregated Economic Analysis of the Brazilian Electricity Distribution Companies Using a Regulated Market Economic Model

Evaluating Public Policies for Fair Social Tariffs of Electricity in Brazil by Using an Economic Market Model

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