Sustainability has evolved from a conceptual ideal into a practical imperative, redefining how industries operate in response to growing environmental and societal challenges. Historically, sustainability in chemical engineering focused primarily on regulatory compliance and waste minimization, but the escalating climate crisis and biodiversity loss demand more transformative solutions. Net-zero greenhouse gas (GHG) emissions, nature-positive practices that restore ecosystems, and people-positive strategies that promote social equity are now seen as interdependent pillars of long-term industrial sustainability. While many companies—including Microsoft, Apple, and Dow Chemical—have pledged to reach net-zero by 2030–2050, current progress remains fragmented and often overlooks the synergies and trade-offs between these goals [1, 2, 3]. Chemical and process industries, which are integral to modern life, are also among the most resource- and emission-intensive. Innovations in Process Systems Engineering (PSE), including life cycle modeling, optimization, and scenario planning, offer a structured means to assess and implement sustainability transitions [4]. However, few frameworks explicitly address the triple mandate of reducing emissions (net-zero), restoring ecosystems (nature-positive), and enhancing social well-being (people-positive). Achieving this trifecta requires not only technological innovation but also the integration of biophysical and socioeconomic data, climate justice metrics, and region-specific environmental capacities [5, 6]. The Absolute Environmental Sustainability (AES) assessment, combined with the Safe and Just Operating Space (SJS) framework, provides a pathway to design systems that stay within planetary boundaries while promoting equitable development [7, 8].
This study applies a comprehensive framework—the Net-Zero, Nature-Positive, and People-Positive (NZCMI) Framework—using the Chemicals and Materials Industry (CMI) model to analyze the polyester fiber industry [9]. Polyester is a widely used material with significant environmental and social footprints, making it an ideal case study to evaluate system-wide transitions. We first validate the results of the CMI model by comparing them with data reported in existing literature, confirming that the model accurately reflects known trends in polyester production. Following this, a sensitivity analysis reveals that circularity—the reuse and recycling of materials—is a key factor for reducing both greenhouse gas emissions and production costs.
Our findings show important trade-offs between different sustainability goals. When we analyze net-zero, nature-positive, and people-positive outcomes separately, it becomes clear that improvements in one area can sometimes create challenges in another. For example, switching to biobased materials and renewable energy helps reduce carbon emissions, but can also lead to increased resource extraction, land use change, and risks to biodiversity. We observe that circularity has the potential to reduce emissions by nearly 40% when shifting from a no-recycling to a full-recycling scenario. However, the current model includes only a single recycling cycle, and future work should account for material quality degradation and multiple cycles for a more realistic outlook. Although the global outlook may appear positive for nature- and people-centered strategies, a closer look at individual countries tells a different story. Most countries have already exceeded their safe and fair environmental and social limits. Circular economy solutions—such as increased recycling and material reuse—can help reduce these pressures, but they require major investments in infrastructure. In some regions, these investments could increase social and economic inequality if the benefits are not shared fairly. Our regional analysis shows that while some countries appear within social thresholds, they often exceed environmental limits—highlighting the need for local assessments, not just global averages. Improving labor conditions and making sustainable materials more accessible to all are also important steps toward people-positive outcomes. However, these changes may lead to higher short-term production costs, especially in regions with limited resources. Even so, our analysis identifies several opportunities for “win-win-win” outcomes. When circular economy practices, biobased materials, and clean energy are applied in ways that are both sustainable and fair, they can reduce emissions, support ecosystem health, and deliver social and economic benefits—such as creating jobs in rural areas and improving long-term resource security. For example, biobased feedstocks, when sourced responsibly and integrated into local supply chains, can help drive rural employment and reduce supply risks. Similarly, the rollout of renewable energy—if done with community engagement and benefit-sharing—can reduce energy costs and increase access to reliable electricity in underserved areas. These findings highlight the complex task of balancing environmental, ecological, and social goals. They show the need for integrated strategies that combine technology, policy, and circular practices. To make progress on all fronts, technological innovations such as carbon capture and electrified processes must be supported by ecosystem restoration and social safeguards. While carbon capture can reduce emissions, it cannot replace the need for natural solutions or social equity measures. Achieving sustainability in polyester production—and more broadly across the chemicals and materials industry—requires a shift in thinking. A system-wide, collaborative approach is essential to ensure that efforts to reduce emissions and restore ecosystems also support social well-being.
Going forward, decision-makers will require robust and transparent tools that can assess trade-offs and synergies across net-zero, nature-positive, and people-positive outcomes. In this work, we also aim to develop reliable and quantitative metrics that can guide such evaluations and support more informed, balanced decision-making. Building such frameworks will be key to designing sustainable pathways that reflect real-world constraints and local priorities. Addressing these challenges now is critical for building a future where industries and societies can grow in ways that are both sustainable and fair.
References:
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