Table 5.
Bibliography selection. Articles written between 2012 and 2022 in Q1 of the Scimago Ranking.
| Authors | Year | Title | Source Title | Cited | Scimago | Methodology |
|---|---|---|---|---|---|---|
| Larizzatti Zacharias et al. | 2022 | Natural gas as a vehicular fuel in Brazil: Barriers and lessons to learn | Energy Policy | 0 | Q1 | Mathematical model |
| Paes et al. | 2022 | The power generation expansion planning in Brazil: Considering the impact of greenhouse gas emissions in an Investment Decision Model | Renewable Energy | 7 | Q1 | Computer model |
| Peyerl et al. | 2022 | Applying small-scale liquefied natural gas supply chain by fluvial transport in the isolated systems: The case study of Amazonas, Brazil | Energy for Sustainable Development | 0 | Q1 | Mathematical model |
| Rodrigues | 2022 | Decreasing natural gas flaring in Brazilian oil and gas industry | Resources Policy | 1 | Q1 | Mathematical model |
| Santos et al. | 2022 | Analysis of the Brazilian energy policies for natural gas using artificial neural networks | Journal of Natural Gas Science and Engineering | 1 | Q1 | Computer model |
| Gerber Machado et al. | 2021 | Natural gas vehicles in heavy-duty transportation – A political-economic analysis for Brazil | Case Studies on Transport Policy | 4 | Q1 | Mathematical model |
| Silva et al. | 2021 | Risk assessment model using conditional probability and simulation: case study in a piped gas supply chain in Brazil | International Journal of Production Research | 3 | Q1 | Mathematical model |
| Silva Neto et al. | 2021 | Potential impacts of vinasse biogas replacing fossil oil for power generation, natural gas, and increasing sugarcane energy in Brazil | Renewable and Sustainable Energy Reviews | 19 | Q1 | Mathematical model |
| Araujo and Leoneti | 2020 | Evaluating the Stability of the Oil and Gas Exploration and Production Regulatory Framework in Brazil | Group Decision and Negotiation | 5 | Q2 | Mathematical model |
| Costa et al. | 2020 | A robust least square approach for forecasting models: an application to Brazil's natural gas demand | Energy Systems | 4 | Q1 | Mathematical model |
| Gaudencio et al. | 2020 | Oil and gas companies operating in Brazil adhere to GRI-G4 essential sustainability indicators: a critical review | Environment, Development and Sustainability | 15 | Q1 | Mathematical model |
| Sakamoto et al. | 2020 | Energy and Environmental Contributions for Future Natural Gas Supply Planning in Brazil | Energy Technology | 3 | Q1 | Computer model |
| Araujo and Leoneti | 2019 | How attractive is Brazil's oil and gas regulatory framework to investors? | Extractive Industries and Society | 4 | Q1 | Computer model |
| García Kerdan et al. | 2019 | Modelling cost-effective pathways for natural gas infrastructure: A southern Brazil case study | Applied Energy | 13 | Q1 | Computer model |
| Leal et al. | 2019 | Natural gas regulation and policy in Brazil: Prospects for the market expansion and energy integration in Mercosul | Energy Policy | 12 | Q1 | Qualitative analysis without mathematical model |
| Almeida et al. | 2018 | Economic value of underground natural gas storage for the Brazilian power sector | Energy Policy | 12 | Q1 | Mathematical model |
| Assis et al. | 2018 | Will the shift from crude oil to natural gas burning for power generation at an oil refinery increase ozone concentrations in the region of Cubatão (SE-Brazil)? | Ecological Indicators | 6 | Q1 | Mathematical model |
| Raimundo et al. | 2018 | Evaluation of greenhouse gas emissions avoided by wind generation in the Brazilian energetic matrix: A retroactive analysis and future potential | Resources, Conservation and Recycling | 14 | Q1 | Mathematical model |
| Waterworth and Bradshaw | 2018 | Unconventional trade-offs? National oil companies, foreign investment and oil and gas development in Argentina and Brazil | Energy Policy | 14 | Q1 | Qualitative analysis without a mathematical model |
| Bruno et al. | 2017 | Optimization techniques for the Brazilian natural gas network planning problem | Energy Systems | 3 | Q1 | Mathematical model |
| Hourneaux Junior et al. | 2017 | Strategic aspects in sustainability reporting in oil & gas industry: The comparative case-study of Brazilian Petrobras and Spanish Repsol | Ecological Indicators | 29 | Q1 | Qualitative analysis without a mathematical model |
| Aragão and Giampietro | 2016 | An integrated multi-scale approach to assess the performance of energy systems illustrated with data from the Brazilian oil and natural gas sector | Energy | 15 | Q1 | Qualitative analysis without a mathematical model |
| dos Santos et al. | 2016 | Urea imports in Brazil: The increasing demand pressure from the biofuels industry and the role of domestic natural gas for the country's urea production growth | Journal of Natural Gas Science and Engineering | 7 | Q1 | Mathematical model |
| Vahl et al. | 2015 | Energy transition and path creation for natural gas in the Brazilian electricity mix | Journal of Cleaner Production | 21 | Q1 | Mathematical model |
| Brasil and Postali | 2014 | Informational rents in oil and gas concession auctions in Brazil | Energy Economics | 2 | Q1 | Mathematical model |
| Camargo et al. | 2014 | Major challenges for developing unconventional gas in Brazil - Will water resources impede the development of the Country [U+05F3]s industry? | Resources Policy | 11 | Q1 | Qualitative analysis without a mathematical model |
| Goldemberg et al. | 2014 | Oil and natural gas prospects in South America: Can the petroleum industry pave the way for renewables in Brazil? | Energy Policy | 35 | Q1 | Mathematical model |
| Mendes et al. | 2014 | Reforming Brazil's offshore oil and gas safety regulatory framework: Lessons from Norway, the United Kingdom and the United States | Energy Policy | 31 | Q1 | Mathematical model |
| Nogueira et al. | 2014 | Will thermal power plants with CCS play a role in Brazil's future electric power generation? | International Journal of Greenhouse Gas Control | 47 | Q1 | Computer model |
| Paz Antolín and Ramírez Cendrero | 2013 | How important are national companies for oil and gas sector performance? Lessons from the Bolivia and Brazil case studies | Energy Policy | 15 | Q1 | Qualitative analysis without a mathematical model |
| Vasconcelos et al. | 2013 | Network flows modeling applied to the natural gas pipeline in Brazil | Journal of Natural Gas Science and Engineering | 43 | Q1 | Mathematical model |
| Colomer Ferraro and Hallack | 2012 | The development of the natural gas transportation network in Brazil: Recent changes to the gas law and its role in co-ordinating new investments | Energy Policy | 6 | Q1 | Qualitative analysis without a mathematical model |
| Martins et al. | 2012 | Scenarios for solar thermal energy applications in Brazil | Energy Policy | 45 | Q1 | Qualitative analysis without a mathematical model |