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As the human population continues to grow and use resources, we must be mindful of our planet’s natural limits. Sustainable development provides a pathway to maintain and improve human life now while also ensuring that future generations will have the resources that they need. The long-term success of sustainability efforts rests on understanding the interplay between human actions and ecological systems.
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A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
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Sustainable Development Goals-Based Prospective Process Design Using Hybrid Modeling.

Sachin Jog1, Daniel Vázquez2, Lucas F Santos1

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Transitioning to renewable chemicals requires evaluating sustainability beyond climate change. A new framework using Sustainable Development Goals (SDGs) and planetary boundaries (PBs) optimizes processes like CO2 hydrogenation to methanol, balancing economic and environmental factors.

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Area of Science:

  • Sustainable chemical process design
  • Life Cycle Assessment (LCA)
  • Sustainable Development Goals (SDGs)

Background:

  • Replacing fossil fuels with renewable alternatives is crucial for sustainable chemical processes.
  • Evaluating impacts beyond climate change is essential for a truly sustainable transition.
  • Existing frameworks may not fully capture the multifaceted nature of sustainability.

Purpose of the Study:

  • To develop a framework for sustainable process design incorporating Sustainable Development Goals (SDGs) and planetary boundaries (PBs).
  • To optimize a CO2 hydrogenation to methanol process based on economic and SDGs performance.
  • To assess the trade-offs between climate action and other environmental impacts.

Main Methods:

  • Development of a novel sustainable process design framework.
  • Integration of standard Life Cycle Assessment (LCA) metrics with the planetary boundaries (PBs) concept.
  • Application of the framework to a CO2 hydrogenation to methanol process, optimizing for economic and SDGs performance using hybrid surrogates.

Main Results:

  • The environmentally optimal design significantly reduces impact on SDG 13 (climate action) compared to the business-as-usual (BAU) fossil process.
  • This optimization leads to trade-offs, worsening other environmental categories in the short term.
  • Prospective LCA indicates substantial reduction in collateral damage due to future economic sector improvements.

Conclusions:

  • Sustainable process design must consider impacts beyond climate change.
  • A hybrid approach combining LCA, SDGs, and PBs provides a comprehensive sustainability assessment.
  • The developed framework and optimization methods facilitate the design of truly sustainable chemical processes.