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Green engineering

Green engineering is the environmentally conscious design, commercialization, and use of processes and products that minimize at the source, promote , and protect human health and the environment while remaining economically viable and efficient. This approach shifts traditional engineering practices from end-of-pipe control to proactive prevention, integrating environmental considerations into every stage of development to reduce risks and . The concept of green engineering gained prominence in the late 20th century as industrial growth highlighted environmental challenges like and resource scarcity, prompting a regulatory shift toward over . A key milestone occurred in at the Sandestin Conference in , organized by the American Chemical Society's Green Chemistry Institute with support from the U.S. Environmental Protection Agency (EPA), (NSF), and Department of (DOE), where approximately 65 experts from , , and developed the Sandestin . This declaration established nine foundational principles, including holistic , life-cycle thinking, waste prevention, and community engagement, to guide practices. Complementing this, chemists Paul T. Anastas and Julie B. Zimmerman outlined twelve principles in a 2003 article, emphasizing inherent rather than circumstantial safety, output-pulled processing, and the use of renewable materials to minimize ecological footprints. These principles underscore green engineering's interdisciplinary nature, applying across fields like chemical, civil, and to foster innovations such as efficient material flows, byproduct synergies, and cradle-to-grave assessments. By prioritizing resource conservation and stakeholder involvement, green engineering supports global , enabling industries to achieve alongside profitability.

Overview

Definition and Scope

Green engineering is the , , and use of processes and products that minimize at the source, promote , and minimize risks to human health and the without compromising economic viability or . This approach integrates environmental considerations into engineering practices from the outset, aiming to create solutions that are both technically sound and ecologically responsible. By focusing on and reduced , green engineering seeks to decouple from . The scope of green engineering is inherently interdisciplinary, drawing on expertise from fields such as chemical, civil, mechanical, and to address complex challenges. It employs a cradle-to-grave perspective, assessing the full lifecycle of materials, products, processes, or systems—from and through use and ultimate disposal—to identify and mitigate impacts at every stage. This distinguishes green engineering from , which concentrates on molecular-level innovations to safer chemicals and reactions, whereas green engineering scales these concepts to practical systems, , and applications. Central to green engineering are key concepts such as prevention over treatment, which prioritizes avoiding and generation rather than managing it post-occurrence. Holistic forms another cornerstone, considering interconnected environmental, , and economic factors to develop integrated solutions that enhance long-term resilience. Furthermore, green engineering aligns closely with the , supporting objectives like responsible consumption, , and sustainable industrialization through innovative engineering practices.

Importance and Benefits

Green engineering addresses pressing environmental challenges by prioritizing the design of processes and products that minimize at the source, reduce generation, and conserve natural resources. This approach significantly lowers through efficient material and energy use, helping to mitigate and preserve ecosystems. For example, by incorporating renewable materials and closed-loop systems, green engineering prevents hazardous releases into air, water, and soil, thereby protecting and reducing the of industrial activities. The U.S. Environmental Protection Agency (EPA) highlights that these practices promote while safeguarding human health and the environment. Economically, green engineering delivers cost savings by enhancing and decreasing expenditures on waste disposal, , and . Companies adopting these methods often achieve long-term financial gains through lower operational costs and access to green financing incentives, such as tax credits for sustainable innovations. Furthermore, it creates competitive advantages via eco-labeling and alignment with growing consumer preferences for environmentally responsible products, potentially boosting market share and profitability. The National Institute of Standards and Technology (NIST) notes that green manufacturing reduces energy-related costs and opens new revenue streams by attracting eco-conscious customers. The U.S. Department of Energy also reports that lowers infrastructure and damage expenses across society. From a social perspective, green engineering improves outcomes by limiting exposure to toxic pollutants and enhancing overall , which decreases respiratory illnesses and related healthcare burdens. It supports well-being through initiatives like cleaner spaces and equitable access to sustainable . Additionally, the field drives job creation in emerging sustainable sectors, fostering economic inclusion and skill development. The projects 4% employment growth for environmental engineers from 2024 to 2034, indicating robust opportunities in green engineering roles. At the societal level, these efforts contribute to neighborhood revitalization and on sustainable practices. Broadly, green engineering advances global goals by curbing contributions to and supporting biodiversity conservation through innovative, low-impact solutions. This holistic integration aligns with principles like waste prevention, enabling scalable responses to planetary crises while ensuring viable economic and social progress.

Historical Development

Origins and Early Concepts

The roots of green engineering trace back to the environmental movements of the and , when growing awareness of 's impacts spurred the development of focused on regulatory compliance and control. Pioneering , such as the U.S. Clean Air Act of 1970, established federal standards for air quality and empowered the newly formed Agency (EPA) to enforce emission limits, marking a shift toward systematic in industrial practices. This era emphasized end-of-pipe treatments to capture pollutants after production, laying the groundwork for more proactive approaches. Key influences included the ecological principles articulated by biologist , whose 1971 book The Closing Circle highlighted the limits of natural systems to absorb industrial wastes and advocated for redesigning production to align with ecological carrying capacities. 's four laws of —emphasizing matter cycling, dependence, and the influence of yield on —challenged engineers to consider environmental constraints in design from the outset. In the 1980s, concepts from further shaped these ideas, with early works promoting closed-loop systems mimicking natural ecosystems to minimize waste; a seminal 1989 article by Robert Frosch and Nicholas Gallopoulos proposed viewing industries as ecosystems where outputs from one process become inputs for another. The EPA's early initiatives, starting with state programs like North Carolina's in 1982 and federal efforts through the Office of Pollution Prevention and Toxics by the late 1980s, encouraged source reduction over treatment. Green engineering emerged as a distinct field in the , formalized amid heightened global sustainability awareness following events like the 1992 . The Pollution Prevention Act of 1990 shifted national policy toward preventing pollution at the source, influencing engineering to integrate environmental considerations into product and process design rather than relying on remediation. This evolution from reactive controls to inherent sustainability was advanced by EPA programs that promoted waste minimization, with initial focuses on chemical processes evolving into broader engineering frameworks by the decade's end. As a precursor, green chemistry's principles, developed concurrently by the EPA in the early , underscored the need for benign-by-design technologies.

Key Milestones and Principle Formulations

The U.S. Environmental Protection Agency (EPA) launched its Green Engineering Program in 1998 through the Office of and Toxics, aiming to integrate environmentally conscious design principles into curricula and industrial practices. This initiative marked a pivotal shift toward proactive environmental considerations in and application, building on earlier efforts. A key outcome was the development of educational resources and collaborations with academia to embed from the design stage. In 2002, David T. Allen and David R. Shonnard published Green Engineering: Environmentally Conscious Design of Chemical Processes, a seminal textbook that provided engineers with tools for assessing and minimizing environmental impacts during process and product design. The book emphasized quantitative methods like life cycle assessment and risk analysis, influencing engineering curricula and professional practices by offering practical frameworks for reducing waste and resource depletion at the source. During the 2000s, green engineering increasingly integrated with principles, which focus on molecular-level hazard reduction, to create holistic approaches for sustainable chemical production. This synergy was promoted through international conferences, such as the inaugural Green Engineering Conference held in Sandestin, , in May 2003, where over 65 experts from industry, academia, and government gathered to define foundational guidelines for the field. The formulation of the 12 Principles of Green Engineering was detailed in a 2003 publication by Paul T. Anastas and Julie B. Zimmerman in , providing a structured framework for engineers to evaluate designs across scales from molecular to systems levels. These principles, which prioritize , renewable materials, and systems integration, were developed to guide the creation of processes that minimize environmental harm while maintaining economic viability, and they have since become a cornerstone for green engineering education and application. From the to 2025, the EPA has continued refining its through updated resources, webinars, and partnerships to promote adoption in emerging technologies like . In 2025, the program continued with updates to case studies on industrial applications in August and enhancements to Toxics Release for green practices in . Globally, green engineering concepts have been applied as strategies within frameworks such as the ISO 14001 , updated in 2015, enabling organizations to align process designs with and goals.

Principles and Frameworks

The 12 Principles of Green Engineering

The 12 Principles of Green Engineering, developed by Paul T. Anastas and Julie B. Zimmerman, serve as a foundational framework for designing chemical processes, products, and systems that are environmentally benign, economically viable, and socially acceptable. Published in 2003, these principles extend the concepts of to applications, emphasizing inherency, prevention, and life-cycle thinking to reduce risks to human health and the environment. They are intentionally structured to apply across scales, from development to and beyond, promoting in practices. The principles are articulated as follows:
  1. Inherent Rather Than Circumstantial: Designers need to strive to ensure that all material and energy inputs and outputs are as inherently non-hazardous as possible. This principle prioritizes selecting safer materials from the outset rather than relying on downstream controls to manage hazards.
  2. Prevention Instead of Treatment: It is better to prevent than to treat or clean up after it is formed. By focusing on avoidance in , engineers minimize environmental burdens and associated costs.
  3. Design for Separation: Separation and purification operations should be a component of the design framework. Integrating efficient separation early reduces and material demands in .
  4. Maximize Efficiency: System components should be designed to maximize mass, , and temporal . This encourages optimization of use to enhance overall performance.
  5. Output-Pulled Versus Input-Pushed: System components should be output pulled rather than input pushed through the use of and materials. Aligning production with demand prevents and excess .
  6. Conserve Complexity: Embedded entropy and complexity must be viewed as an investment when making design choices on recycle, reuse, or beneficial disposition. Recognizing complexity as a strategic asset supports long-term sustainability in end-of-life management.
  7. Durability Rather Than Immortality: Targeted durability, not immortality, should be a design goal. Engineering for appropriate lifespan balances functionality with resource conservation, avoiding unnecessary longevity.
  8. Meet Need, Minimize Excess: Design for unnecessary capacity or capability should be considered a design flaw. This includes engineering “one size fits all” solutions. Tailoring designs to specific needs reduces material overuse and waste.
  9. Minimize Material Diversity: Multi-component products should strive for material unification to promote disassembly and value retention. Fewer material types facilitate recycling and reduce disposal challenges.
  10. Integrate Material and Energy Flows: Design of processes and systems must include integration of interconnectivity with available energy and materials flows. Holistic integration optimizes resource utilization and minimizes inefficiencies.
  11. Design for Commercial "Afterlife": Performance metrics include designing for performance in a commercial “afterlife”. Incorporating or in initial design extends product value and reduces environmental impact.
  12. Renewable Rather Than Depleting: Design should be based on renewable and readily available inputs throughout the . Prioritizing renewables ensures long-term viability and decreases dependence on finite resources.
These principles collectively guide engineers toward sustainable innovation, with applications demonstrated in industries such as chemical , where they have informed reductions in hazardous emissions and use. A systems approach can aid in applying these principles by evaluating interconnections across scales. One notable variation of the core green engineering framework is the Sandestin Declaration's 9 Principles of Green Engineering, developed during the 2003 Sandestin Conference on Green Engineering and organized by the American Chemical Society's Green Chemistry Institute with support from the U.S. Environmental Protection Agency (EPA), (NSF), and Department of Energy (DOE). These principles emphasize holistic process and , natural , material and , and risk reduction through , serving as an early foundational set before the expansion to 12 principles. Compared to the standard 12 Principles, the 9 Principles overlap significantly in areas like , waste prevention, and renewable resource use but omit explicit guidance on multifunctional design, output-pulled processing, and meeting user needs with minimal resources, reflecting a more concise focus on environmental integration rather than comprehensive scalability. Green engineering principles are closely integrated with the 12 Principles of , originally formulated by and in 1998, which prioritize , safer solvents, and in chemical processes. This synergy is evident in combined frameworks like the 24 Principles of Greener , which merge the two sets to address both molecular-level and broader , promoting reduced toxicity and lifecycle across disciplines. The Hannover Principles, articulated by in 1992 for the in Hannover, , offer a related framework with nine tenets, including human-nature coexistence, interdependence recognition, and resource elimination over minimization, influencing green engineering by stressing ethical and precautionary approaches to material flows. In the , eco-design directives provide a regulatory adaptation of green engineering concepts, with the Ecodesign for (ESPR), adopted in 2024 and entering into force on 18 July 2024, with phased implementation of requirements beginning in 2026, expanding beyond to mandate circularity, durability, reparability, and recyclability for products like and appliances. This framework aligns with green engineering by requiring lifecycle environmental impact assessments and digital product passports to track metrics, fostering systemic reductions in . Sector-specific adaptations include the (LEED) standards, developed by the U.S. Green Building Council, which apply green engineering to through criteria for site , water efficiency, energy optimization, and materials selection in building projects. By 2025, green engineering frameworks have increasingly incorporated concepts, such as closed-loop material cycles and waste-to-resource strategies, as seen in practices that emphasize design for disassembly and regenerative systems to enhance against resource scarcity.

Approaches and Methodologies

Systems Thinking

Systems thinking serves as a foundational in green engineering, emphasizing the holistic analysis of engineering designs as interconnected systems rather than isolated components. This approach recognizes the presence of feedback loops, where outputs from one part of the system influence others, as well as boundaries that delineate the system's scope and interdependencies among elements such as materials, , and environmental interactions. By adopting this perspective, engineers can address the complexity of , ensuring that solutions account for dynamic interactions across scales, from molecular processes to global ecosystems. Key tools within systems thinking include input-output analysis, which maps material and energy flows through a system to identify inefficiencies and potential streams, and boundary definition, which establishes clear limits to prevent problem shifting—such as relocating from air emissions to water effluents. Input-output analysis, rooted in economic modeling adapted for environmental applications, quantifies direct and indirect resource use, enabling engineers to optimize flows without unintended . Boundary definition is critical to encompass all relevant interactions, avoiding the oversight of downstream or upstream impacts that could undermine goals. These tools facilitate a structured evaluation that integrates technical, economic, and ecological factors. The benefits of in green engineering lie in its ability to anticipate , such as cascading environmental effects from suboptimal designs, thereby promoting more resilient and equitable outcomes. For instance, it supports by revealing interdependencies that minimize overall resource consumption and emissions across linked processes, without displacing impacts to unrelated sectors. This methodology aligns with the principles of green engineering, promoting continuous improvement through iterative evaluation of system performance.

Life Cycle Assessment

Life Cycle Assessment (LCA) serves as a core methodology in green engineering for systematically evaluating the environmental impacts associated with all stages of a product, process, or service, enabling engineers to identify opportunities for improvements. This approach aligns with by quantifying interactions across interconnected stages in a structured, data-driven manner. Standardized by the (ISO), LCA follows a four-phase framework outlined in ISO 14040:2006, which ensures consistency and transparency in assessments. The first phase, goal and scope definition, establishes the purpose of the LCA, defines the system boundaries (such as cradle-to-gate or full cradle-to-grave), and specifies the functional unit for comparison, like the environmental impact per kilogram of material produced. Next, the life cycle inventory (LCI) analysis compiles data on inputs (e.g., raw materials, energy) and outputs (e.g., emissions, waste) for each life cycle stage, creating a comprehensive dataset of flows within the defined system. The impact assessment phase then translates this inventory into environmental impacts, such as global warming potential or resource depletion, using characterization factors to aggregate effects like carbon footprint or cumulative energy demand. Finally, the interpretation phase analyzes results, assesses uncertainties, and draws conclusions to inform decision-making, ensuring the study's limitations are addressed. In green engineering, LCA quantifies cradle-to-grave impacts—from and through use and end-of-life disposal or —to minimize overall environmental burdens and support choices. Key metrics include , measured in kilograms of CO₂ equivalent, and energy use, expressed in megajoules, which help engineers prioritize reductions in or resource consumption across the . Common tools for conducting LCA include process-based and economic input-output (EIO) methods, each offering distinct advantages in scope and detail. Process-based LCA employs a bottom-up approach, modeling specific processes and supply chains with detailed, unit-level data to achieve high resolution for targeted analyses, though it risks truncation errors by excluding upstream indirect effects. In contrast, EIO-LCA uses a top-down based on national input-output tables to capture broader system boundaries, including indirect impacts across sectors, providing quicker estimates but with lower specificity due to aggregated data. Hybrid approaches combining both methods are increasingly used to balance precision and completeness. A basic formulation for impact assessment in LCA calculates the total environmental impact as the sum over all inputs and life stages: \text{Total Impact} = \sum_{i} (\text{Input}_i \times \text{Impact Factor}_i) where \text{Input}_i represents the quantity of each flow (e.g., emissions or resources) and \text{Impact Factor}_i is the characterization factor converting it to a common impact category, such as kg CO₂-eq per kg emitted. This equation underpins the translation of inventory data into actionable insights, facilitating comparisons and optimizations in green engineering practices.

Applications

Process and Product Design

Green engineering emphasizes the application of sustainability principles to the design of and consumer products, aiming to minimize environmental impacts while maintaining functionality and economic viability. In , strategies focus on creating systems that are safer, more efficient, and resource-conserving from the outset. is a core approach, where hazards are eliminated by selecting nonhazardous materials and operating conditions rather than relying on add-on measures. For instance, optimizing conditions—such as , , and catalysts—can minimize byproducts and use, aligning with prevention of formation. Modular designs further enhance flexibility, allowing processes to be scaled or reconfigured with minimal material and disruption, as seen in prefabricated unit operations that reduce on-site impacts. Additionally, incorporating renewable feedstocks, such as bio-based inputs instead of petroleum-derived ones, reduces dependency on depleting resources and lowers throughout the process lifecycle. Product design in green engineering prioritizes eco-efficiency by reducing resource consumption and end-of-life burdens. Dematerialization strategies involve using less material to achieve the same performance, such as lighter-weight components in electronics that cut raw material needs without compromising durability. Modular repairability enables easy disassembly and component replacement, extending product lifespan and facilitating recycling, as exemplified in consumer goods like appliances designed with standardized, interchangeable parts. The use of biodegradable materials, such as plant-based polymers for packaging, ensures that products break down naturally post-use, minimizing persistent waste in landfills. These approaches draw from eco-efficiency principles, which seek to deliver more value per unit of resource while adhering to guidelines like the 12 Principles of Green Engineering for renewable and separable designs. Integrating tools like (LCA) into design iterations is essential for evaluating and refining these strategies toward zero-waste goals. LCA quantifies environmental impacts across a process or product's full lifecycle—from extraction to disposal—allowing engineers to identify hotspots and iterate designs iteratively. For example, applying LCA early in can optimize material flows to achieve near-zero waste by integrating byproducts as inputs for other operations, fostering closed-loop systems. In , LCA supports decisions on materials and by assessing long-term impacts, ensuring that choices like biodegradable alternatives truly reduce overall ecological footprints. This tool integration promotes holistic , targeting processes and products that eliminate waste at the source rather than managing it downstream.

Industry-Specific Examples

In the sector, the BASIL (Biphasic Acid Scavenging using Ionic Liquids) process exemplifies green engineering by employing s, such as N-methylimidazolium chloride, to scavenge acids during the production of alkoxyphenylphosphines, replacing traditional volatile organic compounds (s) that contribute to . This biphasic system allows the ionic liquid to separate as a distinct phase, enabling its and eliminating solid waste formation, which previously complicated and increased disposal needs. Implemented commercially since , the process has reduced waste generation and emissions associated with VOC evaporation, enhancing overall process efficiency while minimizing environmental releases. In materials and construction, sustainable ceramic tile production incorporates recycled industrial waste, such as fly ash from incineration plants, to replace up to 30% of traditional raw materials like potassium feldspar, thereby diverting waste from landfills. Low-energy firing techniques, optimized at temperatures around 1300°C, leverage the calorific value of the recycled fly ash (0.36 MJ/kg), achieving an estimated 33.86% energy savings compared to conventional production methods that require higher inputs. These tiles maintain compliance with environmental standards for heavy metal leaching, reducing resource consumption and supporting circular material flows in the building industry. Bio-based polymers, such as () derived from renewable sources like , are increasingly applied in to supplant petroleum-based plastics, offering biodegradability and lower lifecycle impacts. For instance, their adoption can reduce emissions by 30% to 70% relative to fossil-derived alternatives, depending on feedstock and end-of-life management. In manufacturing, integration of photovoltaic systems powers operations with clean energy; Nexteer Automotive's facility, equipped with 17,000 panels since 2024, generates sufficient electricity to offset 7,000 metric tons of annually, equivalent to avoiding the use of 788,000 gallons of . These implementations demonstrate success through quantified outcomes, including BASF's waste avoidance in chemical processes, 33.86% energy reductions in tile firing, and 30-70% lower CO2 footprints from bio-polymers, alongside solar-driven emission cuts of thousands of metric tons per year. Life cycle assessment (LCA) evaluates these benefits by quantifying cradle-to-grave impacts, confirming net environmental gains. Cost savings arise from reduced energy and material inputs, with solar installations like Nexteer's yielding long-term operational efficiencies.

Challenges and Future Directions

Barriers to Implementation

One of the primary obstacles to the widespread of green engineering practices is economic barriers, particularly the high upfront costs associated with redesigning processes and products to minimize environmental impact. These costs often include investments in new materials, technologies, and training, which can significantly exceed those of conventional alternatives, leading to extended (ROI) periods that deter short-term-focused stakeholders. For instance, sustainable materials like bio-based composites may require longer payback times due to higher initial sourcing and processing expenses, making them less attractive in competitive markets where immediate profitability is prioritized. Technical challenges further complicate implementation, as many green engineering innovations face scalability issues when transitioning from laboratory prototypes to full industrial production. Processes that perform well at small scales often encounter unforeseen inefficiencies, such as reduced yields or increased energy demands, at larger volumes, hindering reliable deployment. Additionally, limitations in material performance under harsh operational environments—such as extreme temperatures, corrosion, or mechanical stress—restrict the applicability of eco-friendly alternatives, as they may not yet match the durability of traditional materials without compromising sustainability goals. Regulatory and cultural hurdles exacerbate these issues, with inconsistent policies across regions creating uncertainty and uneven enforcement that discourages investment in green engineering. Varying standards for emissions, , and product safety can lead to complexities, particularly for multinational operations, while bureaucratic delays in approvals further slow progress. Culturally, industries often exhibit resistance rooted in a short-term orientation, where executives and decision-makers prioritize cost-cutting over long-term , perpetuating a reluctance to shift from established practices. Data gaps represent another critical barrier, especially in conducting accurate assessments (LCAs) essential for evaluating the full environmental footprint of engineered systems. Incomplete information on supply chains—such as upstream sourcing of raw materials or downstream disposal practices—often results in unreliable inventories, leading to overestimated or underestimated impacts and undermining the credibility of green engineering decisions. These deficiencies are particularly pronounced in global supply networks, where and standardized reporting remain limited, affecting the precision of metrics. One prominent technological advance in green engineering involves the integration of (AI) and digital twins to enable predictive design for sustainable systems. AI-powered digital twins create virtual replicas of physical assets, allowing engineers to simulate and optimize environmental impacts in real-time, such as reducing energy consumption in buildings by up to 20-30% through and scenario modeling. This approach builds on by modeling complex interactions across material lifecycles to minimize waste and emissions during the design phase. Another key innovation is the use of to enhance efficiency, addressing the intermittency of renewable sources. Nanostructured materials, such as carbon nanotubes and layered two-dimensional compounds, improve ionic transport and in batteries and supercapacitors, enabling higher energy densities and faster charging compared to traditional materials. For instance, graphene-based have demonstrated potential for lithium-ion batteries with capacities exceeding 500 Wh/kg, supporting scalable green energy grids. On the policy front, green engineering is increasingly aligned with global net-zero goals, exemplified by the European Union's Green Deal, which targets a 55% reduction in greenhouse gas emissions by 2030 relative to 1990 levels and full climate neutrality by 2050. As of 2025, the EU has advanced these objectives through updated national contributions under the Effort Sharing Regulation, ensuring continued progress toward decarbonization in sectors like manufacturing and transport. Complementing this, circular economy models emphasize material reuse and closed-loop systems, reducing resource extraction by promoting refurbishment and recycling in engineering processes. These frameworks integrate green engineering principles to extend product lifespans, as seen in EU directives mandating 10% increases in municipal waste reuse by 2030. Research frontiers are pushing boundaries with bioengineering hybrids that combine biological and synthetic elements for eco-friendly applications. Hybrid systems, such as nanomaterial-enzyme interfaces, facilitate sustainable by enabling microbial electrocatalysis for production with minimal energy input. In parallel, efforts to develop climate-resilient incorporate green engineering through like bioswales and permeable pavements, which mitigate flood risks while enhancing urban . A 2025 update from the U.S. Environmental Protection Agency emphasizes decarbonization, providing guidance for organizations to inventory and reduce Scope 3 emissions through supplier engagement and low-carbon material sourcing. These innovations hold significant potential impacts, with projections indicating that scaled adoption could contribute to the deep reductions needed in global emissions by 2030, aligning with IPCC pathways to limit warming to 1.5°C, which require a 43% reduction in global GHG emissions by 2030 relative to 2019 levels. According to the , technologies like advanced energy storage and AI-optimized processes could facilitate key emission cuts in the industry sector through and efficiency gains, supporting the 20% reduction needed by 2030 in the scenario.

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