Strategic Planning of an Integrated Fuel Production System with a Fair-Sustainable Approach

Abstract

This work introduces a systematic approach for the optimization of an integrated system to produce fuels and simultaneously capture emissions while accounting for fairness schemes and sustainability metrics. The proposed fair-sustainable approach is relevant because a fair allocation of resources is key for long-term sustainability. The considered stakeholders in the integrated system include refineries, biorefineries, and eco-industries (taken in this work as endeavors for forest plantations resulting in capturing emissions). The optimal allocation of income among these stakeholders is analyzed by evaluating different fairness schemes (social welfare, Rawlsian welfare, and Nash approaches) and a sustainability metric (sustainability weighted return on investment). To incentivize the installation of eco-industries, economic compensation options are included. The applicability of the optimization formulation is demonstrated using a case study of Mexico. However, the model is general and can be applied to different case studies. The results show distinct income allocations under the fairness schemes and the sustainability metric. These allocations are compared to their utopic points. Additionally, the avoided emissions and the generated jobs obtained through the distinct schemes are analyzed. The results also show that the Nash scheme can provide fair trade-offs among the stakeholders' income and environmental and social functions.

Quantitative sustainable design (QSD) for the prioritization of research, development, and deployment of technologies: a tutorial and review

“…172,173 Likewise, during the indicator evaluation step, stakeholders can be engaged through data collection methods of varying stakeholder input and influence. For instance, some structured approaches rely on quantitative data from existing census data or with close-ended surveys (e.g., user cost, [174][175][176][177] number of annual meetings, 177,178 number of jobs 167,179,180 ). These approaches are common in the technology development literature because they are often less resource intensive and enable data collection across multiple contexts with limited incremental cost (i.e., the cost of gathering data from another location or context is low).…”

“…These approaches are common in the technology development literature because they are often less resource intensive and enable data collection across multiple contexts with limited incremental cost (i.e., the cost of gathering data from another location or context is low). [181][182][183][184] In contrast, approaches such as semi-structured interviews and case studies 185 are more open to stakeholder elaboration, and they are therefore more resource intensive.…”

“…For instance, some structured approaches rely on quantitative data from existing census data or with close-ended surveys ( e.g. , user cost, 174–177 number of annual meetings, 177,178 number of jobs 167,179,180 ). These approaches are common in the technology development literature because they are often less resource intensive and enable data collection across multiple contexts with limited incremental cost ( i.e.…”

Quantitative Sustainable Design (QSD) for the Prioritization of Research, Development, and Deployment of Technologies: A Tutorial and Review

“…186,187 Likewise, during the indicator evaluation step, stakeholders can be engaged through data collection methods of varying stakeholder input and influence. For instance, some structured approaches rely on quantitative data from existing census data or with close-ended surveys (e.g., user cost, [188][189][190][191] number of annual meetings, 191,192 number of jobs 181,193,194 ). These approaches are common in the technology development literature because they are often less resource intensive and enable data collection across multiple contexts with limited incremental cost (i.e., the cost of gathering data from another location or context is low).…”

“…These approaches are common in the technology development literature because they are often less resource intensive and enable data collection across multiple contexts with limited incremental cost (i.e., the cost of gathering data from another location or context is low). [195][196][197][198] In contrast, approaches such as semi-structured interviews and case studies 199 are more open to stakeholder elaboration, and they are therefore more resource intensive. When time and resources permit, sample size of the interviews can be set to achieve thematic saturation, when the collection of new data does not shed any further light on the issue under investigation.…”