{"title":"Beyond Operational Energy Efficiency: The Urgent Need for Embodied Carbon Regulation in the U.S","authors":"Ming Hu, Siavash Ghorbany","doi":"10.1021/acsenergylett.5c01443","DOIUrl":null,"url":null,"abstract":"As countries ramp up efforts to meet net-zero targets, building sector’s climate policies have prioritized operational energy─focusing on efficiency upgrades and renewable energy deployment. These strategies have significantly reduced operational emissions. However, a growing body of research warns that these gains may be offset by embodied carbon─the greenhouse gas (GHG) emissions associated with producing, transporting, and disposing of construction materials. (1,2) Globally, the building sector accounts for 37% of energy- and process-related CO<sub>2</sub> emissions, with embodied carbon comprising at least 10% activities. (3,4) In net-zero buildings, embodied carbon can represent over 50% of life-cycle emissions. (5) Yet, most national building policies─particularly in the U.S.─fail to address it. While the U.S. lacks a national embodied carbon policy, efforts like the Buy Clean California Act mark early progress. (6) To support national benchmarking, this study presents the most detailed assessment to date of U.S. embodied carbon emissions. This article also proposes a phased, building-type-specific roadmap for reducing embodied carbon in the U.S., aligned with international practices. Without such measures, the carbon embedded in new construction will continue to erode operational energy gains. As electricity grids decarbonize and buildings become more operationally efficient, embodied carbon is emerging as a dominant and often overlooked component of building-related emissions. Unlike operational energy, which benefits directly from clean energy deployment, embodied carbon stems largely from energy-intensive industrial processes─such as cement and steel production─that remain heavily reliant on fossil fuels. Consequently, embodied carbon regulation is not only a matter of building policy but a crucial element of broader energy system decarbonization. Without addressing upstream emissions embedded in construction materials, the energy savings achieved through electrification and efficiency will be increasingly offset by carbon-intensive construction practices. Establishing performance benchmarks is a foundational step toward reducing embodied carbon at scale. Only a handful of nations moving toward formal limits. In Europe, Denmark has led the way by embedding embodied carbon thresholds directly into its national building codes. As of 2023, all new buildings over 1,000 m<sup>2</sup> must comply with a lifecycle carbon emissions limit of 12 kg CO<sub>2</sub>e/m<sup>2</sup>/year, with this cap set to tighten to 7.5 kg CO<sub>2</sub>e/m<sup>2</sup>/year by 2029. Smaller buildings must also conduct a life cycle assessment (LCA), though they are not yet subject to performance thresholds 2029. (7,8) France’s RE2020 regulation similarly combines operational and embodied carbon targets, setting a cap of 415 kg CO<sub>2</sub>e/m<sup>2</sup> for single-family homes and 490 kg CO<sub>2</sub>e/m<sup>2</sup> for apartment buildings by 2031─a 30% reduction from 2022 levels. (9) Switzerland’s Zurich has taken a more holistic approach, aligning building lifecycle carbon targets with its 2000-W Society vision, which sets a goal of 8.5 kg CO<sub>2</sub>e/m<sup>2</sup>/year for new residential construction by 2050. (10) In North America, Toronto is among the few jurisdictions to establish embodied carbon caps through its Toronto Green Standard (TGS). Version 4 of the TGS imposes a maximum of 350 kg CO<sub>2</sub>e/m<sup>2</sup> on city-owned buildings beginning in 2025, with future code cycles expected to expand coverage to private development. Collectively, these examples point toward an emerging consensus: embodied carbon targets must be measurable, enforceable, and aligned with a building’s expected service life and function. While target values differ based on building typology, local material supply chains, and energy sources, most leading global benchmarks for residential buildings cluster around 400–800 kg CO<sub>2</sub>e/m<sup>2</sup> over a 50-year lifespan. (11,12) Nonresidential buildings exhibit wider variability, with embodied carbon values ranging from 100 to 1,200 kg CO<sub>2</sub>e/m<sup>2</sup> depending on structural systems and use function. Despite these differences, international benchmarks serve as critical reference points for the U.S., where no nationally recognized embodied carbon limits currently exist. The next section will assess U.S. building stock against these international targets, highlighting specific archetypes that significantly exceed global benchmarks. This comparison underscores the urgency for U.S. policymakers to adopt typology-specific embodied carbon caps as part of a broader decarbonization strategy for the built environment. In the United States, the most significant knowledge gap related to embodied carbon in buildings lies at the whole-building level, primarily due to the absence of comprehensive national-scale data and a lack of standardized assessment methodologies. (5) Two primary factors contribute to this research deficit. The first is the outdated perception that embodied carbon is negligible. (13) Early studies estimated the ratio of embodied to operational carbon at approximately 1:10, leading to a predominant focus on reducing operational emissions. (2) However, as operational energy performance has improved in recent years, the relative importance of embodied emissions has grown. Röck and colleagues, analyzing 238 case studies, reported increases in both relative and absolute embodied carbon, largely driven by emissions from the manufacturing and processing of construction materials. Embodied carbon now accounts for an estimated 20% to 90% of total life cycle emissions in buildings. (5) The second contributing factor is the lack of embodied carbon data for existing buildings. The heterogeneity and complexity of the national building stock pose substantial challenges for data collection and generalization. Unlike operational energy, which benefits from extensive, standardized data sets across various building types, embodied energy and carbon assessments remain fragmented and limited in scope. This scarcity of data hinders the development of benchmarks, comparative studies, and meaningful emissions reduction targets. (5) A critical component of embodied carbon assessment is the ability to evaluate and spatially map emissions across the existing building stock. Historically, most studies have employed top-down approaches, which estimate emissions using aggregate data sets such as material flow analyses or national economic input-output tables. (13) While these methods are effective at a macro scale, they lack the resolution needed to capture building-level variation. In contrast, bottom-up approaches analyze individual buildings using detailed information on material composition, construction type, and technological systems. (6) As Mastrucii argued, such disaggregated analysis enables more accurate and context-sensitive assessments of embodied carbon by accounting for the unique attributes of each structure. (14) This study adopts a bottom-up methodology by integrating the National Structure Inventory (NSI) with building envelope data extracted from Google Street View (GSV) using machine learning techniques. The NSI, initially developed by the U.S. Army Corps of Engineers for dam and levee risk screening, is now publicly available through the Federal Emergency Management Agency. It provides key attributes, including building type, foundation type, square footage, number of stories, and geolocation. However, the NSI does not include envelope material data─an omission that significantly limits embodied carbon assessments, given the emissions intensity of building envelopes. Recent advances in remote sensing and computer vision have demonstrated the potential of GSV imagery for filling this data gap. For example, Ghione and colleagues applied convolutional neural networks (CNNs) to detect façade materials and lateral-load-resisting systems. (15) Tutzauer and Haala utilized semantic segmentation techniques on GSV imagery to classify building use, leveraging GSV metadata to improve model accuracy. (16) Nguyen and colleagues extracted urban design features─such as pedestrian presence and visual enclosure─from GSV images to assess neighborhood walkability, linking physical attributes of the built environment to public health outcomes. (17) Building on this body of work, our recent study employs zero-shot learning to classify wall materials directly from GSV imagery, eliminating the need for model fine-tuning on manually labeled data sets. (18) Hence, it is practical to create a large national data set to be used to benchmark the embodied carbon of building stock. Building upon this bottom-up framework, the present study leverages the National Structure Inventory and advanced material classification methods using Google Street View imagery to generate a high-resolution data set of embodied carbon intensities across the U.S. building stock. By incorporating structural systems, envelope materials, and foundation types, the data set captures cradle-to-grave emissions (Modules A–C) and allows for detailed comparison across building typologies. This typology-based approach enables the identification of emission hotspots within specific building categories and supports the development of targeted benchmarks and policy interventions. The resulting data set covers 22 nonresidential and 11 residential archetypes, offering the most comprehensive empirical assessment to date of embodied carbon performance across the U.S. built environment. (13,19) This typology-based approach enables a detailed assessment of embodied carbon intensity and serves as a foundation for performance benchmarking. (20) Figure 1 illustrates substantial variation in embodied carbon intensity across U.S. building types, with values ranging from under 40 to nearly 180 kg CO<sub>2</sub>e/m<sup>2</sup>/year. Residential typologies─particularly single-family homes (RES1) and manufactured housing (RES2)─consistently exceed international benchmarks by two- to 3-fold. Among nonresidential types, construction facilities and professional service offices also report high intensities, often above 70 kg CO<sub>2</sub>e/m<sup>2</sup>/year. In contrast, educational buildings (e.g., schools and universities) and light industrial facilities exhibit lower embodied carbon levels, frequently under 50 kg CO<sub>2</sub>e/m<sup>2</sup>/year. These intertypology disparities reinforce the need for differentiated, performance-based targets rather than uniform thresholds. Figure 1. Embodied carbon intensity across U.S building typologies. Two primary factors account for this disparity. The first is the carbon intensity of the U.S. energy mix used in material production. As of 2020, fossil fuels continued to dominate the U.S. energy sector, with natural gas comprising approximately 40% of total consumption, followed by petroleum and coal. (21) In contrast, the European Union has achieved greater decarbonization of its energy supply, with renewable sources─primarily wind and solar─contributing roughly 38% of the energy mix in the same year. (22) The second factor is material selection. In the U.S., single-family housing is predominantly constructed with wood, a relatively low-carbon material. However, other typologies─particularly industrial, commercial, and multifamily buildings─frequently rely on more carbon-intensive materials such as concrete, masonry, and steel. By contrast, European residential and commercial buildings, especially those built in the 20th century, have historically used concrete and masonry but are now increasingly transitioning to low-carbon alternatives. (23) These findings underscore the inadequacy of one-size-fits-all carbon caps. Uniform thresholds risk overburdening low-impact buildings or under-regulating high-impact ones. A differentiated approach─tailored to building function, scale, and material intensity─is essential for effective mitigation. For example, single-family homes and construction facilities warrant more stringent targets, while lower-intensity categories such as educational and civic buildings may serve as exemplars for low-carbon design. Several international policies have already adopted typology-specific benchmarks. France’s RE2020 regulation distinguishes between single-family and multifamily residential buildings, applying different embodied carbon thresholds to each. Zurich’s 2000-W Society sets a limit of 8.5 kg CO<sub>2</sub>e/m<sup>2</sup>/year for residential buildings as part of a broader energy policy framework. Denmark’s building code outlines a phased reduction in allowable emissions─from 12 kg CO<sub>2</sub>e/m<sup>2</sup>/year to 7.5 kg CO<sub>2</sub>e/m<sup>2</sup>/year by 2029. (7) These precedents illustrate the feasibility and benefits of tailored carbon regulation. Establishing typology-specific embodied carbon benchmarks is a critical first step, but translating these benchmarks into actionable policy requires a structured and phased implementation strategy. For the United States, such a roadmap should begin with defining national baselines by building typology, drawing on publicly available data sets such as the Commercial Buildings Energy Consumption Survey (CBECS), Residential Energy Consumption Survey (RECS), and the National Structure Inventory (NSI). Voluntary programs like LEED, the AIA 2030 Commitment, and the Carbon Leadership Forum’s EC3 tool can serve as incubators for benchmark development and pilot initiatives. Figure 2 illustrates a phased policy roadmap using the office building typology as an example. Between 2024 and 2026, a voluntary sustainability standard could be introduced, mandating life cycle assessment (LCA) reporting as a first step toward accountability and transparency. During this pilot phase, embodied carbon targets would remain voluntary, with proposed thresholds such as 14 kg CO<sub>2</sub>e/m<sup>2</sup>/year for buildings over 1,000 m<sup>2</sup> and an aspirational target of 9 kg CO<sub>2</sub>e/m<sup>2</sup>/year for smaller buildings. This initial stage mirrors Denmark’s 2024 roadmap and allows time for industry alignment and data infrastructure development. Figure 2. Road map for reduction. From 2026 to 2030, the strategy would transition into a regulatory phase, with progressively stricter limits─dropping to 10.5 kg CO<sub>2</sub>e/m<sup>2</sup>/year by 2028 and 9 kg CO<sub>2</sub>e/m<sup>2</sup>/year by 2030. In the final phase, spanning 2032 to 2035, allowable embodied carbon levels would be further reduced to 7.5 and ultimately 5 kg CO<sub>2</sub>e/m<sup>2</sup>/year. This phased and evidence-based framework provides predictability for stakeholders, enabling industry adaptation while ensuring continuous progress toward national and global decarbonization targets. The success of this roadmap depends on more than regulation. Complementary investments are required in LCA infrastructure, workforce training, and standardized data protocols to enable consistent and scalable assessment practices. Embedding embodied carbon thresholds into public procurement policies, zoning codes, and financial incentives─such as carbon tax credits, expedited permitting, and density bonuses─can amplify impact and encourage broader market transformation. Reducing embodied carbon is not solely a technical endeavor; it is a societal imperative. A phased, typology-specific strategy rooted in empirical data and supported by institutional capacity can enable the United States to lead in this domain. By aligning performance targets, regulatory levers, and incentive structures, the built environment can become a key driver of national climate goals─building the transition to a low-carbon future, quite literally, from the ground up. This article demonstrates that many U.S. building typologies─especially single-family homes, construction facilities, and manufactured housing─consistently exceed international embodied carbon benchmarks, often by wide margins. These elevated emissions are not intrinsic to building function but stem from systemic inefficiencies in material selection, energy sources, and entrenched design and construction practices. The typology-specific benchmarking framework introduced here offers a scalable and data-driven foundation for addressing these challenges. By integrating bottom-up building stock data with machine learning-based material identification, this study enables high-resolution life cycle assessments (LCAs) across a broad spectrum of U.S. building types. These assessments support the development of differentiated performance thresholds and identify priority targets for intervention. (24) To translate these insights into action, a phased policy roadmap is proposed, beginning with voluntary LCA reporting and progressing toward mandatory embodied carbon limits. This strategy balances regulatory ambition with industry readiness, drawing on successful precedents from Denmark, France, and Switzerland. It also accounts for variation across building types, aligning carbon targets with function, scale, and material intensity. Looking ahead, three strategic pathways will be essential to accelerate embodied carbon policy in the U.S.: Standardize embodied carbon benchmarks within federal and state building codes, grounded in consistent LCA methodologies; Embed embodied carbon thresholds into procurement policies, zoning regulations, and certification systems to create market demand and policy alignment; and Support a national low-carbon construction ecosystem through investment in data infrastructure, material innovation, and workforce development. Reducing embodied carbon is not solely a technical endeavor; it is a societal and energy systems imperative. As operational emissions decline due to electrification and renewable energy adoption, embodied carbon will constitute a growing share of life-cycle emissions in buildings. These emissions are directly linked to fossil fuel use in upstream industrial sectors, making their reduction essential for achieving energy transition goals. A phased, typology-specific strategy rooted in empirical data and supported by institutional capacity can enable the United States to lead in this domain. By aligning embodied carbon performance targets with regulatory levers, procurement policies, and incentives, the built environment can become a key driver─not a drag─on national energy and climate ambitions. This alignment will ensure that the benefits of decarbonized energy supply are fully realized across the building life cycle. This article references 24 other publications. 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引用次数: 0
Abstract
As countries ramp up efforts to meet net-zero targets, building sector’s climate policies have prioritized operational energy─focusing on efficiency upgrades and renewable energy deployment. These strategies have significantly reduced operational emissions. However, a growing body of research warns that these gains may be offset by embodied carbon─the greenhouse gas (GHG) emissions associated with producing, transporting, and disposing of construction materials. (1,2) Globally, the building sector accounts for 37% of energy- and process-related CO2 emissions, with embodied carbon comprising at least 10% activities. (3,4) In net-zero buildings, embodied carbon can represent over 50% of life-cycle emissions. (5) Yet, most national building policies─particularly in the U.S.─fail to address it. While the U.S. lacks a national embodied carbon policy, efforts like the Buy Clean California Act mark early progress. (6) To support national benchmarking, this study presents the most detailed assessment to date of U.S. embodied carbon emissions. This article also proposes a phased, building-type-specific roadmap for reducing embodied carbon in the U.S., aligned with international practices. Without such measures, the carbon embedded in new construction will continue to erode operational energy gains. As electricity grids decarbonize and buildings become more operationally efficient, embodied carbon is emerging as a dominant and often overlooked component of building-related emissions. Unlike operational energy, which benefits directly from clean energy deployment, embodied carbon stems largely from energy-intensive industrial processes─such as cement and steel production─that remain heavily reliant on fossil fuels. Consequently, embodied carbon regulation is not only a matter of building policy but a crucial element of broader energy system decarbonization. Without addressing upstream emissions embedded in construction materials, the energy savings achieved through electrification and efficiency will be increasingly offset by carbon-intensive construction practices. Establishing performance benchmarks is a foundational step toward reducing embodied carbon at scale. Only a handful of nations moving toward formal limits. In Europe, Denmark has led the way by embedding embodied carbon thresholds directly into its national building codes. As of 2023, all new buildings over 1,000 m2 must comply with a lifecycle carbon emissions limit of 12 kg CO2e/m2/year, with this cap set to tighten to 7.5 kg CO2e/m2/year by 2029. Smaller buildings must also conduct a life cycle assessment (LCA), though they are not yet subject to performance thresholds 2029. (7,8) France’s RE2020 regulation similarly combines operational and embodied carbon targets, setting a cap of 415 kg CO2e/m2 for single-family homes and 490 kg CO2e/m2 for apartment buildings by 2031─a 30% reduction from 2022 levels. (9) Switzerland’s Zurich has taken a more holistic approach, aligning building lifecycle carbon targets with its 2000-W Society vision, which sets a goal of 8.5 kg CO2e/m2/year for new residential construction by 2050. (10) In North America, Toronto is among the few jurisdictions to establish embodied carbon caps through its Toronto Green Standard (TGS). Version 4 of the TGS imposes a maximum of 350 kg CO2e/m2 on city-owned buildings beginning in 2025, with future code cycles expected to expand coverage to private development. Collectively, these examples point toward an emerging consensus: embodied carbon targets must be measurable, enforceable, and aligned with a building’s expected service life and function. While target values differ based on building typology, local material supply chains, and energy sources, most leading global benchmarks for residential buildings cluster around 400–800 kg CO2e/m2 over a 50-year lifespan. (11,12) Nonresidential buildings exhibit wider variability, with embodied carbon values ranging from 100 to 1,200 kg CO2e/m2 depending on structural systems and use function. Despite these differences, international benchmarks serve as critical reference points for the U.S., where no nationally recognized embodied carbon limits currently exist. The next section will assess U.S. building stock against these international targets, highlighting specific archetypes that significantly exceed global benchmarks. This comparison underscores the urgency for U.S. policymakers to adopt typology-specific embodied carbon caps as part of a broader decarbonization strategy for the built environment. In the United States, the most significant knowledge gap related to embodied carbon in buildings lies at the whole-building level, primarily due to the absence of comprehensive national-scale data and a lack of standardized assessment methodologies. (5) Two primary factors contribute to this research deficit. The first is the outdated perception that embodied carbon is negligible. (13) Early studies estimated the ratio of embodied to operational carbon at approximately 1:10, leading to a predominant focus on reducing operational emissions. (2) However, as operational energy performance has improved in recent years, the relative importance of embodied emissions has grown. Röck and colleagues, analyzing 238 case studies, reported increases in both relative and absolute embodied carbon, largely driven by emissions from the manufacturing and processing of construction materials. Embodied carbon now accounts for an estimated 20% to 90% of total life cycle emissions in buildings. (5) The second contributing factor is the lack of embodied carbon data for existing buildings. The heterogeneity and complexity of the national building stock pose substantial challenges for data collection and generalization. Unlike operational energy, which benefits from extensive, standardized data sets across various building types, embodied energy and carbon assessments remain fragmented and limited in scope. This scarcity of data hinders the development of benchmarks, comparative studies, and meaningful emissions reduction targets. (5) A critical component of embodied carbon assessment is the ability to evaluate and spatially map emissions across the existing building stock. Historically, most studies have employed top-down approaches, which estimate emissions using aggregate data sets such as material flow analyses or national economic input-output tables. (13) While these methods are effective at a macro scale, they lack the resolution needed to capture building-level variation. In contrast, bottom-up approaches analyze individual buildings using detailed information on material composition, construction type, and technological systems. (6) As Mastrucii argued, such disaggregated analysis enables more accurate and context-sensitive assessments of embodied carbon by accounting for the unique attributes of each structure. (14) This study adopts a bottom-up methodology by integrating the National Structure Inventory (NSI) with building envelope data extracted from Google Street View (GSV) using machine learning techniques. The NSI, initially developed by the U.S. Army Corps of Engineers for dam and levee risk screening, is now publicly available through the Federal Emergency Management Agency. It provides key attributes, including building type, foundation type, square footage, number of stories, and geolocation. However, the NSI does not include envelope material data─an omission that significantly limits embodied carbon assessments, given the emissions intensity of building envelopes. Recent advances in remote sensing and computer vision have demonstrated the potential of GSV imagery for filling this data gap. For example, Ghione and colleagues applied convolutional neural networks (CNNs) to detect façade materials and lateral-load-resisting systems. (15) Tutzauer and Haala utilized semantic segmentation techniques on GSV imagery to classify building use, leveraging GSV metadata to improve model accuracy. (16) Nguyen and colleagues extracted urban design features─such as pedestrian presence and visual enclosure─from GSV images to assess neighborhood walkability, linking physical attributes of the built environment to public health outcomes. (17) Building on this body of work, our recent study employs zero-shot learning to classify wall materials directly from GSV imagery, eliminating the need for model fine-tuning on manually labeled data sets. (18) Hence, it is practical to create a large national data set to be used to benchmark the embodied carbon of building stock. Building upon this bottom-up framework, the present study leverages the National Structure Inventory and advanced material classification methods using Google Street View imagery to generate a high-resolution data set of embodied carbon intensities across the U.S. building stock. By incorporating structural systems, envelope materials, and foundation types, the data set captures cradle-to-grave emissions (Modules A–C) and allows for detailed comparison across building typologies. This typology-based approach enables the identification of emission hotspots within specific building categories and supports the development of targeted benchmarks and policy interventions. The resulting data set covers 22 nonresidential and 11 residential archetypes, offering the most comprehensive empirical assessment to date of embodied carbon performance across the U.S. built environment. (13,19) This typology-based approach enables a detailed assessment of embodied carbon intensity and serves as a foundation for performance benchmarking. (20) Figure 1 illustrates substantial variation in embodied carbon intensity across U.S. building types, with values ranging from under 40 to nearly 180 kg CO2e/m2/year. Residential typologies─particularly single-family homes (RES1) and manufactured housing (RES2)─consistently exceed international benchmarks by two- to 3-fold. Among nonresidential types, construction facilities and professional service offices also report high intensities, often above 70 kg CO2e/m2/year. In contrast, educational buildings (e.g., schools and universities) and light industrial facilities exhibit lower embodied carbon levels, frequently under 50 kg CO2e/m2/year. These intertypology disparities reinforce the need for differentiated, performance-based targets rather than uniform thresholds. Figure 1. Embodied carbon intensity across U.S building typologies. Two primary factors account for this disparity. The first is the carbon intensity of the U.S. energy mix used in material production. As of 2020, fossil fuels continued to dominate the U.S. energy sector, with natural gas comprising approximately 40% of total consumption, followed by petroleum and coal. (21) In contrast, the European Union has achieved greater decarbonization of its energy supply, with renewable sources─primarily wind and solar─contributing roughly 38% of the energy mix in the same year. (22) The second factor is material selection. In the U.S., single-family housing is predominantly constructed with wood, a relatively low-carbon material. However, other typologies─particularly industrial, commercial, and multifamily buildings─frequently rely on more carbon-intensive materials such as concrete, masonry, and steel. By contrast, European residential and commercial buildings, especially those built in the 20th century, have historically used concrete and masonry but are now increasingly transitioning to low-carbon alternatives. (23) These findings underscore the inadequacy of one-size-fits-all carbon caps. Uniform thresholds risk overburdening low-impact buildings or under-regulating high-impact ones. A differentiated approach─tailored to building function, scale, and material intensity─is essential for effective mitigation. For example, single-family homes and construction facilities warrant more stringent targets, while lower-intensity categories such as educational and civic buildings may serve as exemplars for low-carbon design. Several international policies have already adopted typology-specific benchmarks. France’s RE2020 regulation distinguishes between single-family and multifamily residential buildings, applying different embodied carbon thresholds to each. Zurich’s 2000-W Society sets a limit of 8.5 kg CO2e/m2/year for residential buildings as part of a broader energy policy framework. Denmark’s building code outlines a phased reduction in allowable emissions─from 12 kg CO2e/m2/year to 7.5 kg CO2e/m2/year by 2029. (7) These precedents illustrate the feasibility and benefits of tailored carbon regulation. Establishing typology-specific embodied carbon benchmarks is a critical first step, but translating these benchmarks into actionable policy requires a structured and phased implementation strategy. For the United States, such a roadmap should begin with defining national baselines by building typology, drawing on publicly available data sets such as the Commercial Buildings Energy Consumption Survey (CBECS), Residential Energy Consumption Survey (RECS), and the National Structure Inventory (NSI). Voluntary programs like LEED, the AIA 2030 Commitment, and the Carbon Leadership Forum’s EC3 tool can serve as incubators for benchmark development and pilot initiatives. Figure 2 illustrates a phased policy roadmap using the office building typology as an example. Between 2024 and 2026, a voluntary sustainability standard could be introduced, mandating life cycle assessment (LCA) reporting as a first step toward accountability and transparency. During this pilot phase, embodied carbon targets would remain voluntary, with proposed thresholds such as 14 kg CO2e/m2/year for buildings over 1,000 m2 and an aspirational target of 9 kg CO2e/m2/year for smaller buildings. This initial stage mirrors Denmark’s 2024 roadmap and allows time for industry alignment and data infrastructure development. Figure 2. Road map for reduction. From 2026 to 2030, the strategy would transition into a regulatory phase, with progressively stricter limits─dropping to 10.5 kg CO2e/m2/year by 2028 and 9 kg CO2e/m2/year by 2030. In the final phase, spanning 2032 to 2035, allowable embodied carbon levels would be further reduced to 7.5 and ultimately 5 kg CO2e/m2/year. This phased and evidence-based framework provides predictability for stakeholders, enabling industry adaptation while ensuring continuous progress toward national and global decarbonization targets. The success of this roadmap depends on more than regulation. Complementary investments are required in LCA infrastructure, workforce training, and standardized data protocols to enable consistent and scalable assessment practices. Embedding embodied carbon thresholds into public procurement policies, zoning codes, and financial incentives─such as carbon tax credits, expedited permitting, and density bonuses─can amplify impact and encourage broader market transformation. Reducing embodied carbon is not solely a technical endeavor; it is a societal imperative. A phased, typology-specific strategy rooted in empirical data and supported by institutional capacity can enable the United States to lead in this domain. By aligning performance targets, regulatory levers, and incentive structures, the built environment can become a key driver of national climate goals─building the transition to a low-carbon future, quite literally, from the ground up. This article demonstrates that many U.S. building typologies─especially single-family homes, construction facilities, and manufactured housing─consistently exceed international embodied carbon benchmarks, often by wide margins. These elevated emissions are not intrinsic to building function but stem from systemic inefficiencies in material selection, energy sources, and entrenched design and construction practices. The typology-specific benchmarking framework introduced here offers a scalable and data-driven foundation for addressing these challenges. By integrating bottom-up building stock data with machine learning-based material identification, this study enables high-resolution life cycle assessments (LCAs) across a broad spectrum of U.S. building types. These assessments support the development of differentiated performance thresholds and identify priority targets for intervention. (24) To translate these insights into action, a phased policy roadmap is proposed, beginning with voluntary LCA reporting and progressing toward mandatory embodied carbon limits. This strategy balances regulatory ambition with industry readiness, drawing on successful precedents from Denmark, France, and Switzerland. It also accounts for variation across building types, aligning carbon targets with function, scale, and material intensity. Looking ahead, three strategic pathways will be essential to accelerate embodied carbon policy in the U.S.: Standardize embodied carbon benchmarks within federal and state building codes, grounded in consistent LCA methodologies; Embed embodied carbon thresholds into procurement policies, zoning regulations, and certification systems to create market demand and policy alignment; and Support a national low-carbon construction ecosystem through investment in data infrastructure, material innovation, and workforce development. Reducing embodied carbon is not solely a technical endeavor; it is a societal and energy systems imperative. As operational emissions decline due to electrification and renewable energy adoption, embodied carbon will constitute a growing share of life-cycle emissions in buildings. These emissions are directly linked to fossil fuel use in upstream industrial sectors, making their reduction essential for achieving energy transition goals. A phased, typology-specific strategy rooted in empirical data and supported by institutional capacity can enable the United States to lead in this domain. By aligning embodied carbon performance targets with regulatory levers, procurement policies, and incentives, the built environment can become a key driver─not a drag─on national energy and climate ambitions. This alignment will ensure that the benefits of decarbonized energy supply are fully realized across the building life cycle. This article references 24 other publications. 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随着各国加紧努力实现零净目标,建筑行业的气候政策已将运营能源放在首位,重点是能效升级和可再生能源部署。这些战略大大减少了业务排放。然而,越来越多的研究警告说,这些收益可能会被隐含碳所抵消,即与生产、运输和处理建筑材料有关的温室气体(GHG)排放。(1,2)在全球范围内,建筑行业占能源和工艺相关二氧化碳排放量的37%,隐含碳至少占活动的10%。(3,4)在净零排放建筑中,隐含碳可占生命周期排放量的50%以上。(5)然而,大多数国家的建筑政策──尤其是美国──都未能解决这个问题。虽然美国缺乏全国性的碳排放政策,但《购买加州清洁能源法案》(Buy Clean California Act)等举措标志着早期的进展。(6)为了支持国家基准,本研究提出了迄今为止美国隐含碳排放量最详细的评估。本文还提出了一个阶段性的、针对建筑类型的路线图,以减少美国的隐含碳,与国际惯例保持一致。如果不采取这些措施,新建筑中的碳排放将继续侵蚀运营能源收益。随着电网的脱碳和建筑物的运营效率提高,隐含碳正在成为建筑相关排放的主要组成部分,但往往被忽视。与直接受益于清洁能源部署的运营能源不同,隐含碳主要来自水泥和钢铁生产等能源密集型工业过程,这些过程仍然严重依赖化石燃料。因此,隐含碳监管不仅是一个建筑政策问题,而且是更广泛的能源系统脱碳的关键因素。如果不解决建筑材料中的上游排放问题,通过电气化和效率实现的能源节约将越来越多地被碳密集型建筑实践所抵消。建立绩效基准是大规模减少隐含碳的基础步骤。只有少数几个国家正在走向正式的限制。在欧洲,丹麦率先将隐含碳阈值直接纳入其国家建筑规范。截至2023年,所有超过1000平方米的新建筑必须遵守12公斤二氧化碳当量/平方米/年的生命周期碳排放限制,到2029年,这一上限将收紧至7.5公斤二氧化碳当量/平方米/年。较小的建筑也必须进行生命周期评估(LCA),尽管它们还没有达到2029年的性能门槛。(7,8)法国的RE2020法规同样结合了运营和隐含碳目标,到2031年,单户住宅的二氧化碳当量上限为415公斤/平方米,公寓建筑的二氧化碳当量上限为490公斤/平方米,比2022年的水平减少了30%。(9)瑞士的苏黎世采取了更全面的方法,将建筑生命周期碳目标与其2000-W社会愿景相一致,该愿景设定了到2050年新住宅建设每年8.5公斤二氧化碳当量/平方米的目标。(10)在北美,多伦多是通过其多伦多绿色标准(TGS)建立隐含碳上限的少数几个司法管辖区之一。TGS第4版规定,从2025年开始,城市所有建筑的二氧化碳排放量不得超过350公斤/平方米,预计未来的法规周期将扩大到私人开发项目。总的来说,这些例子指向了一个正在形成的共识:隐含的碳目标必须是可测量的、可执行的,并且与建筑物的预期使用寿命和功能保持一致。虽然目标值根据建筑类型、当地材料供应链和能源而有所不同,但在50年的使用寿命内,住宅建筑的大多数领先的全球基准都在400-800千克二氧化碳当量/平方米左右。(11,12)非住宅建筑表现出更大的变异性,根据结构系统和使用功能的不同,隐含碳值在100至1200 kg CO2e/m2之间。尽管存在这些差异,但国际基准对美国来说是至关重要的参考点,因为美国目前还没有全国性的碳排放限制。下一节将根据这些国际目标评估美国的建筑存量,突出显示明显超过全球基准的具体原型。这种比较强调了美国政策制定者采用特定类型的隐含碳上限作为建筑环境更广泛的脱碳战略的一部分的紧迫性。在美国,与建筑隐含碳相关的最重要的知识差距在于整个建筑层面,主要是由于缺乏全面的国家尺度数据和缺乏标准化的评估方法。(5)造成这一研究缺陷的主要原因有两个。首先是一种过时的观念,即隐含碳可以忽略不计。 (13)早期的研究估计,实际碳与业务碳的比例约为1:10,导致主要侧重于减少业务排放。(2)然而,随着近年来运营能源绩效的提高,隐含排放的相对重要性也在增加。Röck及其同事分析了238个案例研究,报告了相对和绝对隐含碳的增加,主要是由建筑材料的制造和加工排放造成的。据估计,隐含碳目前占建筑物生命周期总排放量的20%至90%。(5)第二个影响因素是既有建筑隐含碳数据的缺乏。国家建筑存量的异质性和复杂性给数据收集和推广带来了重大挑战。运营能源受益于各种建筑类型的广泛、标准化数据集,而隐含能源和碳评估仍然是零散的,范围有限。数据的缺乏阻碍了基准、比较研究和有意义的减排目标的制定。(5)隐含碳评估的一个关键组成部分是对现有建筑存量的碳排放进行评估和空间映射的能力。从历史上看,大多数研究都采用自上而下的方法,利用诸如物质流分析或国家经济投入产出表等汇总数据集来估计排放量。(13)虽然这些方法在宏观尺度上是有效的,但它们缺乏捕捉建筑水平变化所需的分辨率。相比之下,自下而上的方法使用材料组成、建筑类型和技术系统的详细信息来分析单个建筑。(6)正如Mastrucii所说,这种分解分析通过考虑每个结构的独特属性,可以对隐含碳进行更准确和环境敏感的评估。(14)本研究采用自下而上的方法,利用机器学习技术将国家结构清单(NSI)与谷歌街景(GSV)中提取的建筑围护结构数据相结合。NSI最初是由美国陆军工程兵团开发的,用于大坝和堤坝的风险筛查,现在通过联邦紧急事务管理局向公众开放。它提供了关键属性,包括建筑类型、基础类型、平方英尺、楼层数和地理位置。然而,NSI不包括围护结构材料的数据──考虑到建筑围护结构的排放强度,这一遗漏极大地限制了隐含碳评估。遥感和计算机视觉方面的最新进展表明,GSV图像具有填补这一数据空白的潜力。例如,Ghione及其同事应用卷积神经网络(cnn)来检测表面材料和横向抗载荷系统。(15) Tutzauer和Haala利用GSV图像的语义分割技术对建筑用途进行分类,利用GSV元数据提高模型精度。(16) Nguyen及其同事从GSV图像中提取了城市设计特征(如行人存在和视觉围合),以评估社区的可步行性,将建筑环境的物理属性与公共健康结果联系起来。(17)在此基础上,我们最近的研究采用零射击学习直接从GSV图像中对墙壁材料进行分类,从而消除了对手动标记数据集进行模型微调的需要。(18)因此,创建一个大型的国家数据集,用于对建筑存量的隐含碳进行基准测试是可行的。在这个自下而上的框架的基础上,本研究利用国家结构清单和先进的材料分类方法,使用谷歌街景图像生成美国建筑存量隐含碳强度的高分辨率数据集。通过结合结构系统、围护结构材料和基础类型,数据集捕获了从摇篮到坟墓的排放(模块A-C),并允许对建筑类型进行详细比较。这种基于类型学的方法能够识别特定建筑类别中的排放热点,并支持制定有针对性的基准和政策干预措施。由此产生的数据集涵盖了22个非住宅和11个住宅原型,提供了迄今为止美国建筑环境中隐含碳性能的最全面的经验评估。(13,19)这种基于类型的方法能够详细评估隐含碳强度,并作为绩效基准的基础。(20)图1显示了美国不同建筑类型隐含碳强度的巨大差异,其值从40 kg /m2/年以下到近180 kg /m2/年不等。住宅类型──特别是单户住宅(RES1)和人造住宅(RES2)──一直超过国际基准两到三倍。 在非住宅类型中,建筑设施和专业服务办公室也报告了高强度,通常超过70千克二氧化碳当量/平方米/年。相比之下,教育建筑(如学校和大学)和轻工业设施的隐含碳水平较低,通常低于50千克二氧化碳当量/平方米/年。这些类型间的差异加强了对区分的、基于绩效的目标的需要,而不是统一的阈值。图1所示。美国建筑类型的具体碳强度。造成这种差异的主要因素有两个。首先是美国材料生产中使用的能源结构的碳强度。截至2020年,化石燃料继续主导美国能源行业,天然气约占总消费量的40%,其次是石油和煤炭。(21)相比之下,欧洲联盟在其能源供应中实现了更大程度的去碳化,可再生能源──主要是风能和太阳能──在同一年贡献了大约38%的能源组合。(22)第二个因素是选材。在美国,单户住宅主要由木材建造,这是一种相对低碳的材料。然而,其他类型的建筑──特别是工业、商业和多户住宅建筑──往往依赖于混凝土、砖石和钢铁等碳密集型材料。相比之下,欧洲的住宅和商业建筑,特别是那些建于20世纪的建筑,历史上一直使用混凝土和砖石,但现在越来越多地向低碳替代品过渡。(23)这些发现强调了一刀切的碳排放上限的不足。统一的阈值可能会使低影响建筑负担过重,或对高影响建筑监管不足。针对建筑功能、规模和材料强度量身定制的差异化方法对于有效缓解至关重要。例如,单户住宅和建筑设施需要更严格的目标,而低强度的类别,如教育和民用建筑,可以作为低碳设计的典范。一些国际政策已经采用了特定类型的基准。法国的RE2020法规区分了单户住宅建筑和多户住宅建筑,对每个住宅建筑采用不同的隐含碳阈值。作为更广泛的能源政策框架的一部分,苏黎世2000-W协会为住宅建筑设定了8.5千克二氧化碳当量/平方米/年的限制。丹麦的建筑规范概述了允许排放量的阶段性减少──到2029年,从每年12公斤二氧化碳当量减少到每年7.5公斤二氧化碳当量。(7)这些先例说明了量身定制碳监管的可行性和效益。建立特定类型的隐含碳基准是关键的第一步,但将这些基准转化为可操作的政策需要结构化和分阶段的实施策略。对于美国来说,这样的路线图应该首先通过建筑类型定义国家基线,利用公开可用的数据集,如商业建筑能耗调查(CBECS)、住宅能耗调查(RECS)和国家结构清单(NSI)。自愿项目,如LEED、AIA 2030承诺和碳领导力论坛的EC3工具,可以作为基准开发和试点举措的孵化器。图2以办公楼类型为例说明了分阶段的策略路线图。在2024年至2026年之间,可能会引入一个自愿的可持续性标准,强制要求生命周期评估(LCA)报告,作为实现问责制和透明度的第一步。在这个试点阶段,具体的碳目标仍然是自愿的,建议的阈值如超过1000平方米的建筑物每年14公斤二氧化碳当量/平方米/年,较小的建筑物每年9公斤二氧化碳当量/平方米/年。这一初始阶段反映了丹麦2024年的路线图,并为行业整合和数据基础设施开发留出了时间。图2。减排路线图。从2026年到2030年,该战略将过渡到监管阶段,逐步实施更严格的限制,到2028年减少到10.5公斤二氧化碳当量/平方米/年,到2030年减少到9公斤二氧化碳当量/平方米/年。在最后阶段,即2032年至2035年,允许的隐含碳水平将进一步降至7.5千克/平方米/年,最终降至5千克/平方米/年。这一分阶段和基于证据的框架为利益相关者提供了可预测性,使行业能够适应,同时确保在实现国家和全球脱碳目标方面不断取得进展。该路线图的成功不仅仅取决于监管。需要在LCA基础设施、劳动力培训和标准化数据协议方面进行补充投资,以实现一致和可扩展的评估实践。 在公共采购政策、分区法规和财政激励措施(如碳税抵免、加速审批和密度奖励)中嵌入隐含碳门槛,可以扩大影响,并鼓励更广泛的市场转型。减少隐含碳不仅仅是一项技术努力;这是社会的当务之急。基于经验数据并得到机构能力支持的阶段性、类型学特定战略可以使美国在这一领域处于领先地位。通过调整绩效目标、监管杠杆和激励结构,建筑环境可以成为实现国家气候目标的关键驱动力──毫不夸张地说,就是从头开始向低碳未来过渡。这篇文章表明,美国的许多建筑类型──尤其是独栋住宅、建筑设施和人造住宅──一直超过国际隐含碳基准,而且往往远远超过。这些增加的排放并不是建筑功能固有的,而是源于材料选择、能源来源以及根深蒂固的设计和施工实践方面的系统性低效。这里介绍的特定于类型的基准测试框架为解决这些挑战提供了可扩展的数据驱动基础。通过将自下而上的建筑存量数据与基于机器学习的材料识别相结合,本研究实现了美国各种建筑类型的高分辨率生命周期评估(lca)。这些评估有助于制定不同的绩效阈值,并确定干预的优先目标。(24)为了将这些见解转化为行动,提出了分阶段的政策路线图,从自愿LCA报告开始,逐步向强制性隐含碳限制发展。这一战略借鉴了丹麦、法国和瑞士的成功先例,平衡了监管雄心和行业准备程度。它还考虑了不同建筑类型的差异,使碳目标与功能、规模和材料强度保持一致。展望未来,有三条战略途径将对加快美国的隐含碳政策至关重要:以一致的LCA方法为基础,将联邦和州建筑规范中的隐含碳基准标准化;将隐含的碳门槛纳入采购政策、分区法规和认证系统,以创造市场需求和政策一致性;通过对数据基础设施、材料创新和劳动力发展的投资,支持国家低碳建筑生态系统。减少隐含碳不仅仅是一项技术努力;这是社会和能源系统的当务之急。由于电气化和可再生能源的采用,运营排放下降,隐含碳在建筑物生命周期排放中所占的份额将越来越大。这些排放与上游工业部门使用化石燃料直接相关,因此减少排放对于实现能源转型目标至关重要。基于经验数据并得到机构能力支持的阶段性、类型学特定战略可以使美国在这一领域处于领先地位。通过将碳排放绩效目标与监管杠杆、采购政策和激励措施相结合,建筑环境可以成为国家能源和气候目标的关键推动力,而不是拖累。这种一致性将确保在整个建筑生命周期中充分实现脱碳能源供应的好处。本文引用了其他24篇出版物。这篇文章尚未被其他出版物引用。
ACS Energy Letters Energy-Renewable Energy, Sustainability and the Environment
CiteScore
31.20
自引率
5.00%
发文量
469
审稿时长
1 months
期刊介绍:
ACS Energy Letters is a monthly journal that publishes papers reporting new scientific advances in energy research. The journal focuses on topics that are of interest to scientists working in the fundamental and applied sciences. Rapid publication is a central criterion for acceptance, and the journal is known for its quick publication times, with an average of 4-6 weeks from submission to web publication in As Soon As Publishable format.
ACS Energy Letters is ranked as the number one journal in the Web of Science Electrochemistry category. It also ranks within the top 10 journals for Physical Chemistry, Energy & Fuels, and Nanoscience & Nanotechnology.
The journal offers several types of articles, including Letters, Energy Express, Perspectives, Reviews, Editorials, Viewpoints and Energy Focus. Additionally, authors have the option to submit videos that summarize or support the information presented in a Perspective or Review article, which can be highlighted on the journal's website. ACS Energy Letters is abstracted and indexed in Chemical Abstracts Service/SciFinder, EBSCO-summon, PubMed, Web of Science, Scopus and Portico.