Sustainability Performance Evaluation of Renewable Energy Sources: The Case of Brazil

Oliveira, João Fernando Gomes de; Trindade, Tatiana Costa Guimarães

doi:10.1007/978-3-319-77607-1

Cited by 11 publications

(8 citation statements)

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“…It states that there is a direct correlation between environmental degradation and economic growth to a certain level, beyond which there is an increase in the quality of environment as income per capita increases [20]. Based on the Intergovernmental Panel on Climate Change report, the renewable energy sources can meet 77% of the energy needs of the world by 2050, despite the present figure being relatively as low as 13% [42]. Most countries wonder about the role they can perform in that drastic transformation, given that Brazil has played a significant role in the process, having contributed 44.8% of clean energy in 2010.…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to [44], renewable energy is highly suitable in reducing the amount of carbon in energy, which is an integral element of mitigating climate. Based on [42], the consumption of renewable energy would minimize the emission of carbon by approximately 8.2% by 2050. The use of clean energy technologies also contributes immensely to economic development.…”

Section: Literature Reviewmentioning

confidence: 99%

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The Relationship between Renewable Energy and Economic Growth in a Time of Covid-19: A Machine Learning Experiment on the Brazilian Economy

2021

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This paper examines the relationship between renewable energy consumption and economic growth in Brazil, in the Covid-19 pandemic. Using an Artificial Neural Networks (ANNs) experiment in Machine Learning, we tried to verify if a more intensive use of renewable energy could generate a positive GDP acceleration in Brazil. This acceleration could offset the harmful effects of the Covid-19 global pandemic. Empirical findings show that an ever-greater use of renewable energies may sustain the economic growth process. In fact, through a model of ANNs, we highlighted how an increasing consumption of renewable energies triggers an acceleration of the GDP compared to other energy variables considered in the model.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

The Relationship between Renewable Energy and Economic Growth in a Time of Covid-19: A Machine Learning Experiment on the Brazilian Economy

2021

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“…To achieve sustainable energy levels, it is necessary to develop and implement renewable sources of energy that can provide clean, reliable, and affordable power for various applications and sectors [3]. Renewable sources of energy, such as solar, wind, geothermal, and wave energy, offer promising alternatives that can meet the energy needs of the present and future generations while reducing greenhouse gas emissions and enhancing energy security [4,5].…”

Section: Introductionmentioning

confidence: 99%

Constructal Design Applied to an Oscillating Water Column Wave Energy Converter Device under Realistic Sea State Conditions

Maciel,

Oleinik,

Dos Santos

et al. 2023

JMSE

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In this work, we conducted a numerical analysis of an oscillating water column (OWC) wave energy converter (WEC) device. The main objective of this research was to conduct a geometric evaluation of the device by defining an optimal configuration that maximized its available hydrodynamic power while employing realistic sea data. To achieve this objective, the WaveMIMO methodology was used. This is characterized by the conversion of realistic sea data into time series of the free surface elevation. These time series were processed and transformed into water velocity components, enabling transient velocity data to be used as boundary conditions for the generation of numerical irregular waves in the Fluent 2019 R2 software. Regular waves representative of the sea data were also generated in order to evaluate the hydrodynamic performance of the device in comparison to the realistic irregular waves. For the geometric analysis, the constructal design method was utilized. The hydropneumatic chamber volume and the total volume of the device were adopted as geometric constraints and remained constant. Three degrees of freedom (DOF) were used for this study: H1/L is the ratio between the height and length of the hydropneumatic chamber, whose values were varied, and H2/l (ratio between height and length of the turbine duct) and H3 (submergence depth of hydropneumatic chamber) were kept constant. The best performance was observed for the device geometry with H1/L= 0.1985, which presented an available hydropneumatic power Phyd of 29.63 W. This value was 4.34 times higher than the power generated by the worst geometry performance, which was 6.83 W, obtained with an H1/L value of 2.2789, and 2.49 times higher than the power obtained by the device with the same dimensions as those from the one on Pico island, which was 11.89 W. When the optimal geometry was subjected to regular waves, a Phyd of 30.50 W was encountered.

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“…Its advancement is heavily reliant on judgement of technical, economic, and regulatory factors [19]. It is impractical to evaluate all types of impacts, components, and characteristics [20]. Researchers usually adapt specific targets to develop their preferred set of indicators in a framework since there is no established methodology for assessing the energy sector's sustainability [21].…”

Section: Introductionmentioning

confidence: 99%

“…MCDM model is the best suited for such a revolutionary goal. The relative sustainability of energy sources is influenced by region, indicators, and investor perceptions [20]. They developed a framework that public and private investors interested in Brazilian concerns can use.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Microgrid Analysis for Kutubdia Island of Bangladesh

Zaman

Razzak

2022

IEEE Access

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Uninterrupted power supply with sustainable microgrid remains a big challenge for Kutubdia Island in Bangladesh. However, the majority of study has been focused on the techno-economic aspects of producing electricity in support of this isolated area. To bridge the gap, the present study proposes a methodology for assessing off-grid hybrid microgrid pertaining to the priorities of four key sustainability performance indicators (KSPI): economy, environment, technology, and society. The evaluation process also includes total 13 sets of sub-indicators under KSPI, such as levelized cost of energy, return on investment, CO 2 emissions, renewable fraction, excess electricity, unmet load, land usage, job creation etc. The comprehensive value of KSPI regarding economic, environmental, technical, and social priorities are computed using fuzzy logic Mamdani type rules, which facilitates human judgment in linguistic terms and eliminates weightage ambiguity. Seven microgrid scenarios integrating locally accessible resources have been scored and ranked to identify suitable configuration. According to the findings, the PV/Wind/Diesel/Converter/Battery combination reveals best option considering economic priority. On the other hand, the PV/Wind/Converter/Battery alternative receives excellent performance scores and is recommended in both environmental and social categories. However, the PV/Diesel/Converter/Battery arrangement outperforms the others architectures and gets preference for technical reasons. Additionally, the electrical, financial, emission, and sensitivity analysis are carried out for a selected microgrid in Kutubdia. This assessment framework can assist academics, policymakers and investors for planning microgrid in a better way based on sustainable dimensions.

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Sustainability Performance Evaluation of Renewable Energy Sources: The Case of Brazil

Cited by 11 publications

References 0 publications

The Relationship between Renewable Energy and Economic Growth in a Time of Covid-19: A Machine Learning Experiment on the Brazilian Economy

The Relationship between Renewable Energy and Economic Growth in a Time of Covid-19: A Machine Learning Experiment on the Brazilian Economy

Constructal Design Applied to an Oscillating Water Column Wave Energy Converter Device under Realistic Sea State Conditions

Sustainable Microgrid Analysis for Kutubdia Island of Bangladesh

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