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Sustainability of Methylic and Ethylic Biodiesel Production Routes: Social and Environmental Impacts via Multi-criteria and Principal Component Analyses using Brazilian Case Studi… Read more
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Sustainability of Methylic and Ethylic Biodiesel Production Routes: Social and Environmental Impacts via Multi-criteria and Principal Component Analyses using Brazilian Case Studies presents an innovative, quantitative methodology for the assessment of the social and environmental sustainability of methylic and ethylic production routes. Sections explain the key steps in assessing the social and environmental impacts of biofuel production chains, including an overview of biodiesel properties and its production chains, common metrics for environmental, social and economic impacts, explain sustainability indicator variabilities and detect similarities among different classes of sustainability indicators, and cover techno-economic considerations.
Finally, several appendices provide readers with MATLAB codes for solving Principal Component Analysis and Multi-Criterial Sustainability Analysis problems in the context of biodiesel chains or in the context of agronomy and agronomics. This book is an invaluable reference for anyone working on biofuels and bioenergy, including scientific, technical, management, social, environmental and policy professionals.
1 – Biodiesel Production Chain: An Introduction
1.1– Biodiesel
1.2 - Biodiesel Production Process
1.3 - Biodiesel Industry in Brazil
1.4 - Final Remarks
2 – Biodiesel Production Chain: Sustainability and Metrics
2.1 – Environmental Sustainability
2.2 – Economic Sustainability
2.3 – Social Sustainability
2.3.1 – Food versus Fuel
2.4 Sustainability Assessments
2.4.1 – Single Sustainability Indicator
2.5 – Biodiesel Assessments in Literature
3 - Methods
3.1 - Scope, Objective and System Boundaries
3.2 – Environmental Data Assumptions and Sources
3.3 - Social Data Assumptions and Sources
3.3.1 – Annual Report on Social Information (ARSI)
3.3.2 – Workplace Accident Statistical Yearbook
3.3.3 – Road Union
3.3.4 – Forced Labor Cases
3.4 – Sustainability Indicators
3.4.1 – Sustainability Metrics
3.4.2 – Auxiliary Indicators
3.4.3 – Green Design Criteria
3.5 – Multi-Criteria Analysis (MCA)
3.5.1 – Quantitative Data Normalization
3.5.2 – Calculating the Sustainability Degree and Criticality Factor
3.5.3 – Calculating Criticality Contribution
3.6 – Principal Component Analysis
4 – Fatty Acid Methyl Ester and Fatty Acid Ethyl Ester Inventories and Sustainability Indicators
4.1 – Inventory Matrix Compilation
4.1.1 - Soybean Agriculture Inventory
4.1.2 – Soybean Milling and Refining Inventory
4.1.3 – Methanol Production Inventory
4.1.4 – Sugarcane Agriculture Inventory
4.1.5 – Ethanol Production Inventory
4.1.6 – Transportation Inventory
4.1.7 – Transesterification Inventory
4.2 – Sustainability Metrics
4.2.1 – Income Gap of Process
4.2.2 – Average Wage
4.2.3 – Forced Labor Cases
4.2.4 – Workforce
4.2.5 – Accident Rate
4.2.6 – Combustion Energy Potential
4.2.7 – Energy Intensity
4.2.8 - Energy Factor
4.2.9 – Land Use Intensity
4.2.10 – Water Intensity
4.2.11 – Carbon Intensity
4.3 – Auxiliary Indicators
5 – Sustainability Assessment
5.1 – Multi-Criteria Analysis Results
5.1.1 – Estimation of Missing Data
5.1.2 – Criticality Factor and Sustainability Degree
5.1.3 – Sustainability Metric Severity Contribution
5.1.4 – Sensitivity Analysis
5.2 – Principal Component Analysis
5.2.1 – Green Design Criteria Principal Components
5.2.2 – Sustainability Metrics Principal Components
5.2.3 – Sensitivity Analysis
5.2.4 – Two-Way Cluster Analysis
6 – Conclusions
References
Appendix 1 – Micro-Data Extraction Through R
Appendix 2 – MATLAB Code for the Multi-Criteria Sustainability
Assessment
Appendix 3 – FAME Chain Inventory
Appendix 4 – FAEE Chain Inventory
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