Proportion Of Carbon Emissions Research Articles

Exploring the potential carbon emissions and net-zero path of international flights: A case study in Macao

With the rapid development of aviation industry and its increasing impact on the global climate change, the contributions of carbon emissions from international flights are attracting more and more attention worldwide. This study, taking Macao as the aviation hub, established the cross-border aviation carbon emission evaluation model to explore dynamic carbon emissions and net-zero path of international flights. The aviation hub mainly covers 58 routes and five types of civil aircraft from 12 countries or regions during 2000–2022. The results show that the aviation transportation in Macao emitted about 1.44 million tons CO2eq in 2019, which is high 3.6 times that of 2000. The COVID-19 has led to a rapid decline in aviation carbon emissions in a short period of time, carbon emissions in 2020 decreased by 80 % compared to 2019. In terms of cumulative carbon emissions from 2000 to 2019, the A321 and A320 Airbus contribute to 80 % of carbon emissions. And the Chinese mainland (37 %) and Taiwan (29 %) are the main sources of emissions. In 2000–2019, the proportion of carbon emissions from China (including Taiwan and Hong Kong) decrease from 91 % to 53 %, while the contribution from Southeast Asia (from 5 % to 26 %), Japan and South Korea (from 2 % to 19 %) keep the growth trends. In the optimal scenario (B3C3), net zero emissions of cross-border aviation in Macao can be not achieved, and there is still only by removing 0.3 million tons CO2eq. Emission reduction technology and new energy usage are priorities for the aviation emission reduction.

Digital twin-based quantification of carbon emission from foundation pit construction: A case study of a station in Shanghai Metro

This study focused on achieving the carbon peaking and carbon neutrality goal. A carbon emission calculation method based on the entire process of excavation construction and the emission factor method for the foundation pit construction of a metro station was proposed. This method facilitated quantitative calculation of total carbon emissions in metro foundation pit engineering, which was then incorporated into a self-designed digital twin platform to drive sustainability efforts. The proposed calculation approach was verified in the foundation pit of Huangpi South Road Station (Shanghai Metro Line No. 14). (1) The pit construction process of the targeted metro station emitted 127,439t of carbon dioxide equivalent. (2) From the material perspective, reinforcing steel and concrete accounted for a significant proportion of the overall carbon emissions. Whereas, from the construction perspective, the engineering process of supporting structures accounted for a considerable proportion of the carbon emissions. (3) A comparative analysis of different construction zones revealed that the carbon emissions during the construction stage of the metro pit project were closely related to the amount of earthwork and size of the deep excavation engineering. Practically, the discovered knowledge of carbon emission characteristics can be visualized in a digital twin.

Determinants and their spatial heterogeneity of carbon emissions in resource-based cities, China

Global climate change associated with increased carbon emissions has become a global concern. Resource-based cities, by estimations, have emerged as major contributors to carbon emissions, accounting for approximately one-third of the national total. This underscores their pivotal role in the pursuit of carbon neutrality goals. Despite this, resource-based cities have long been neglected in current climate change mitigation policy discussions. Accordingly, using exploratory spatial data analysis and Geographical Weighted Regression method, this study investigates the determinants of carbon emissions and their spatial pattern in 113 resource-based cities in China. It can be concluded that: (1) The proportion of carbon emissions from resource-based cities in the national total has shown a marginal increase between 2003 and 2017, and the emissions from these cities have not yet reached their peak. (2) A relatively stable spatial pattern of “northeast high, southwest low” characterizes carbon emissions in resource-based cities, displaying significant spatial autocorrelation. (3) Population size, economic development level, carbon abatement technology, and the proportion of resource-based industries all contribute to the increase in carbon emissions in these cities, with carbon abatement technology playing a predominant role. (4) There is a spatial variation in the strength of the effects of the various influences.

Carbon Emission Characteristics and Influencing Factors of Typical Processes in Drinking Water Treatment Plant

Based on the actual operating conditions and data monitoring, the carbon emission characteristics of typical processes of a drinking water treatment plant (DWTP) in Tianjin were studied. The total carbon emission intensity measured by CO2-eq was 0.254 kg·m-3, and the proportion of carbon emissions from electricity consumption and reagent consumption was 81.76% and 9.15%, respectively. The key carbon emission sectors of electricity consumption were the water supply pump house, ultrafiltration membrane process, and inlet pump house, which accounted for 50.99%-73.51%, 17.64%-20.70%, and 17.97%-22.40% of the total carbon emission from electricity consumption in the DWTP, respectively. The contribution of sodium hypochlorite to the carbon emission of reagent consumption was 89.12%-90.30%, followed by ferric chloride, PAC, and ammonium sulfate. In the traditional water purification process, the carbon emission intensity of the process unit was in the order of inlet pump house > rapid filter > sedimentation tank. The order in the ultrafiltration membrane advanced treatment process was inlet pump house > ultrafiltration membrane > mechanical coagulation > clarification tank. The carbon emission intensity of the rapid filter process and the ultrafiltration membrane process were 0.070 9 kg·m-3 and 0.109 0 kg·m-3, respectively. The ultrafiltration membrane process could save 23% of the reagent consumption, and its carbon emission of electricity consumption was twice that of the traditional treatment process. The analysis of factors affecting carbon emission in key sectors showed that the raw water quality parameters such as turbidity, pH, ammonia nitrogen, temperature, etc., were significantly correlated with the carbon emission intensity of sodium hypochlorite. There was a significant linear regression relationship between ex-factory water pressure, daily water supply, and carbon emission intensity of the water supply pump house. The control measures of water quality and water pressure can effectively reduce the carbon emissions of the DWTP.

Embodied carbon assessment on road tunnels using integrated digital model: Methodology and case-study insights

With the constant increasing road tunnel construction in China, embodied carbon emissions of tunnels play an important role in addressing the issue of the low-carbon construction. This study determined the carbon emission boundary based on the characteristics of road tunnels and proposed a digital model based framework for evaluating embodied carbon emissions in road tunnels, thus realizing the rapid calculation and visualization of tunnel carbon emissions. Through two typical region cases of road tunnels in different regions, the usability and universality of this framework are verified. Based on the carbon emission calculation results of the tunnels, a systematic analysis was conducted on the proportion of carbon emissions in each stage of the tunnel and the carbon emission characteristics of the whole construction process. The results show that the material production stage of road tunnel has the largest carbon emissions proportion, accounting for about 79%-87%, among which the carbon emissions contribution of concrete is the highest, followed by steel. Concrete and steel together account for about 90% of carbon emissions during the tunnel material production stage. The carbon emissions of road tunnel increase with the deterioration of the surrounding rock. The embodied carbon in the secondary support step of road tunnel contributes the most to the total embodied carbon, and the carbon emissions difference of different tunnels is mainly reflected in the two steps of primary support and secondary support of road tunnel. The visual presentation of embodied carbon in road tunnel by digital model can help to achieve the purpose of reducing carbon emissions in tunnels.

Sustainable Low-Carbon Layout of Land around Rail Transit Stations Based on Multi-Modal Spatial Data

With the ever-increasing demand for transport in modern cities, emissions from urban transport are rising. The proportion of carbon emissions in exhaust gas accounts for a large share of society’s total carbon emissions and is increasing. Therefore, urban transport has a sustainable responsibility to reduce carbon emissions. Investigating the factors that influence carbon emissions from transport has become an important practical issue that needs to be addressed. This paper adopts a “bottom-up” theoretical calculation method of transport carbon emissions and establishes the basic distribution model of inter-modal land use around rail transit stations. It clarifies the connection mode of rail transit stations and establishes the distribution model of carbon emission of stations under different building distribution modes, suggesting the planning of building distribution patterns around rail transit stations. This paper proposes a new method to analyze the influencing factors of carbon emissions at rail transit stations based on multi-modal spatial data in order to make full use of the dense characteristics of rail transit stations and reduce carbon emissions.

Spatiotemporal Evolution of Carbon Emissions According to Major Function-Oriented Zones: A Case Study of Guangdong Province, China.

Studying the spatiotemporal evolution of carbon emissions from the perspective of major function-oriented zones (MFOZs) is crucial for making a carbon reduction policy. However, most previous research has ignored the spatial characteristics and MFOZ influence. Using statistical and spatial analysis tools, we explored the spatiotemporal characteristics of carbon emissions in Guangdong Province from 2001 to 2021. The following results were obtained: (1) Carbon emissions fluctuated from 2020 to 2021 because of COVID-19. (2) Over the last 20 years, the proportion of carbon emissions from urbanization development zones (UDZs) has gradually decreased, whereas those of the main agricultural production zones (MAPZs) and key ecological function zones (KEFZs) have increased. (3) Carbon emissions efficiency differed significantly among the three MFOZs. (4) Carbon emissions from coastal UDZs were increasingly apparent; however, the directional characteristics of MAPZ and KEFZ emissions were not remarkable. (5) Carbon transfer existed among the three kinds of MFOZs, resulting in the economy and carbon emissions being considerably misaligned across Guangdong Province. These results indicated that the MFOZ is noteworthy in revealing how carbon emissions evolved. Furthermore, spatiotemporal characteristics, especially spatial characteristics, can help formulate carbon reduction policies for realizing carbon peak and neutrality goals in Guangdong Province.

Comparison of Green Building Rating Systems from LCA Perspective

Buildings account for a considerable proportion of carbon emissions throughout their lifecycle. Therefore, Green Building Rating Systems (GBRSs) have been developed globally to evaluate building environmental performance and mitigate their impacts on climate change. Life Cycle Assessment (LCA) as a science-based method has been recognised in the GBRSs to enhance the building environmental assessment. Regardless of the wide implementation of GBRSs, buildings carbon emissions have continued to rise by nearly 1% per year since 2010. Furthermore, no academic research has been conducted to compare GBRSs assessment criteria from the LCA perspective in respect of the recognition and weighting of (1) whole building LCA, (2) embodied carbon emissions and (3) operational carbon emissions. To this end, this research aims to evaluate the efficiency, validity and reliability of five international GBRSs (i.e., LEED, BREEAM, BEAM Plus, Green Star and Homestar) in terms of assessing and auditing the building total carbon emissions; embodied and operational emissions. Results show that conducting whole building LCA is an optional assessment criterion with negligible weighting. Moreover, the assessment of the operational carbon emissions make up the major portion of the total weighting in the existing GBRSs. By contrast, the assessment of building embodied carbon emissions is overlooked. Based on the results, shifting focus from operational carbon towards a full life cycle perspective is urgently needed to achieve the emissions reduction targets and so decarbonising the built environment.

Measurement and Spatial–Temporal Characteristics of Agricultural Carbon Emission in China: An Internal Structural Perspective

The focus of world governance on climate change has been on the industrial and transport sectors, yet the agricultural sector produces a lot of greenhouse gases, and this has always been ignored. This paper focuses on China, one of the world’s largest agricultural countries, and it investigates its agriculture carbon emission from a new perspective of the internal structure of it, which is relatively under-researched. Carbon metrology, the emission factor method and kernel density estimations are used to analyze China’s agricultural carbon emissions structure and its regional differences and its dynamic evolution characteristics. We find that: (1) China’s total amount of agricultural carbon emissions showed a ladder-like upward trend, but the growth rate of it has gradually slowed down; the inter-provincial heterogeneity of the agricultural carbon emissions was obvious. (2) From the standpoint of the grain functional areas, the annual total amount of agricultural carbon emissions and the amount of carbon emissions of each carbon source in the major grain producing areas were significantly higher than those in the major grain sales areas and the production–sales balance areas, and the carbon emission intensity in the major grain producing areas was the lowest overall. (3) In regard to the internal structure, China’s agricultural carbon emissions mainly came from the livestock and poultry, rice planting and agricultural energy sectors; the proportion of carbon emissions that were caused by the agricultural materials, agricultural energy and soil increased in general, and the inter-provincial differences between them expanded, while the inter-provincial differences between livestock and poultry gradually decreased. The proportion of carbon emissions from the six major agricultural carbon sources showed a convergence trend, and their kernel density had a right tail phenomenon. Our research deepens the understanding of China’s agricultural carbon emission structure, contributes to the rational optimization of the agricultural structure, and helps the agriculture sector and the rural areas to reach the carbon peak.

Performance of Channel Members under Emission-Sensitive Demand for Green Supply Chain Management: A Game Theory Approach

The skyrocketing growth of e-commerce and traditional retailing contributes to a large proportion of carbon emissions in any supply chain. Nevertheless, the literature related to carbon emission has focused on manufacturers and their potential for emission reduction. Therefore, it is imperative to understand the role of the retailing sector in reducing carbon emissions. Therefore, this study considers emission-sensitive demands which are faced by an r-store (brick and mortar retailer) and an e-store (online retailer) under different channel power structures. The competition between the channel members is modeled using game theory for the following channel structures, i.e., (i) r-store and e-store have commensurate channel power, (ii) r-store holds higher channel power, and (iii) e-store holds higher channel power. Equilibrium analysis was carried out to obtain the optimal pricing strategies and the r-store’s optimal profit and e-store. Further, the pricing strategies and resulting sales volumes were compared analytically and followed by a numerical validation. Three subcases were considered under numerical examples based on the parameter values with special reference to the base demand. It was found that competition between the r-store and the e-store having commensurate channel power will make them worse off. Therefore, the channel leadership is neither helping the r-store nor the e-store obtain more profit when the customer demand is emission sensitive.

Research on Carbon Emissions of Road Traffic in Chengdu City Based on a LEAP Model

With the continuous increase in the number of vehicles, the proportion of carbon emissions from road traffic in cities has significantly increased, putting pressure on the overall carbon emission reduction of cities The implementation of low-carbon transportation has, therefore, become crucial to urban emission reductions. Based on the situation of vehicles in Chengdu, this study uses the LEAP model to construct a road traffic development scenario in Chengdu from 2020 to 2025. The research focuses on common greenhouse gases that contribute to carbon emissions such as CO2, N2O, and CH4 from motor vehicles. With current policies being considered, we simulate and evaluate energy consumption and carbon emissions under two energy-saving and emission reduction scenarios: low carbon (LC) and strengthen low carbon (SLC). The results show that carbon emissions significantly improve under the LC scenario, and that the carbon emissions of the road traffic of Chengdu will peak before 2030 under the SLC scenario.

Effect of activation function in modeling the nexus between carbon tax, CO2 emissions, and gas-fired power plant parameters

• The nexus between carbon tax, CO 2 emissions and parameters in gas-fired power plant was modeled. • The optimized networks consist of 3 input units, 15 hidden neurons, and 1 output unit. • The network performance in modeling the carbon tax prediction resulted in R 2 greater than 0.9. • The gas flow rate had the most significant effect on the predicted carbon tax. Huge emissions of carbon dioxide (CO 2 ) from the utilization of fossil fuel for power generation has significantly contributed to global warming. In view of this, technological pathways have been initiated to mitigate the effect of CO 2 emissions through capture, storage, and utilization. Besides, there is an increasing acceptance of carbon tax which is levied in the proportion of carbon emissions from the utilization of fossil fuel. In this study, the nexus between carbon tax, equivalent CO 2 emissions from the gas-fired power plant, natural gas flow rate, and air-to-fuel ratio was modeled using a perceptron neural network. The effect of various combinations of identity, hyperbolic tangent, and sigmoid activation functions at the hidden and outer layer of the neural network on the performance of the models was investigated. The various network configurations were trained using the Levenberg-Marquardt algorithm with the network errors backpropagated to enhance the performance. The optimized networks consist of three input units, 15 hidden neurons, and one output unit. The network performance in modeling the carbon tax prediction resulted in R 2 of 0.999, 0.999, 0.999, 0.998, and 0.999 for model 1, model 2, model 3, model 4, and model 5, respectively which is an indication that the calculated carbon tax was strongly correlated with the predicted values. The prediction errors of 0.019, 0.009, 0.002, 0.016, 0.002 obtained from model 1, model 2, model 3, model 4, and model 5, respectively revealed the robustness of the models in predicting the carbon tax with minimum error. Among the various configurations investigated, the perceptron neural network configured with hyperbolic tangent and sigmoid activation function at the hidden and outer layers, as well as the configuration with sigmoid activation functions at the hidden and outer layers, offer the best performance. The sensitivity analysis shows that the flow rate of the natural gas had the most significant effect on the predicted carbon tax.

Life cycle assessment of CO2 emission reduction potential of carbon capture and utilization for liquid fuel and power cogeneration

Underground and ocean CO2 storage is facing a series of hazard like leakages, earth movement and seismic activity, which has attracted more international attention on CO2 utilization. It can potentially not only reduce the anthropogenic carbon emissions which is the main cause of climate change, but produce valuable fuels and chemicals through synthesis. This paper explored the environmental benefits of CO2 utilization through the reverse water gas shift into syngas for the production of liquid fuel and power. CO2 source is an ideal three-stage hydrogen production unit based on the Fe-based chemical looping combustion, which can capture carbon with nearly zero-energy-consumption. The life cycle emission was calculated as 129.98 kg CO2-eq/MW h, and the proportion of carbon emissions that correspond to the production of liquid fuel is 60% (taking exergy allocation as an example). Compared with the conventional NGCC and GTL standalone production system with carbon capture at same outputs, this system could achieve an energy savings of 18.19% and a life-cycle carbon emission reduction rate of 46.87%. Carbon emissions mainly came from natural gas mining and transportation, and the CO2 recompression process, which accounts for 74.54% and 15.12% of life cycle emissions, respectively. In addition, the effects of key parameters, such as CCU/CCS, solid inventory and lifetime of oxygen carrier, and different allocation methods, on these LCA results were discussed in detail to further reveal the system carbon emission reduction potential.

Carbon emission energy management analysis of LCA-Based fabricated building construction

With the gradual warming of the global climate, the development of low-carbon buildings has become an inevitable trend, and research on the carbon emissions of buildings is also imperative. At present, in most studies on energy management of carbon emissions during the construction process, people cannot analyze them with a more accurate method. In order to find an effective carbon emission analysis method, based on the life cycle assessment method (LCA), this paper establishes a carbon emission model, and calculates the carbon emission of residential building materials in different areas, building materials in different industrial buildings, air conditioning cooling and heating schemes, and the whole life cycle of buildings. This article draws the following conclusions: The relationship between the carbon emissions of residential building materials in different regions is: severe cold area>cold area>hot summer and cold winter area>mild area>hot summer and warm winter area. In the analysis of frame structure, brick concrete structure and steel concrete structure, the most carbon emission is steel concrete structure, and the least is frame structure. The carbon emissions of different forms of air-conditioning cold sources are different. Among them, the second option is the direct-fired lithium bromide absorption chiller and hot water unit. The carbon emissions are related to the energy structure. For prefabricated buildings, the proportion of carbon emissions in the construction use phase is the highest, reaching 75%–80%, and the sum of the construction use phase and the building material production phase accounts for more than 90% of the total.

Carbon Emissions Analysis of Rock Wool Board Products

Green building materials have drawn more and more attention of the Chinese Government. Carbon footprint research on typical building materials products in China is of great significance to promote the sustainable development of building materials industry and realize the objectives of series actions on carbon dioxide emissions control in China. This paper explores the calculation method for carbon emissions of building materials products by taking rock wool sheet products as an example based on the life cycle idea and the characteristics of China's building materials industry. It also puts forward effective emission reduction suggestions through a comparative analysis of carbon emissions in different stages of rock wool production. The results show that the carbon emissions during the production of rock wool sheet is 1471.77 kgCO2eq/t, in which, the proportion of carbon emissions in the raw materials production stage is the highest, accounting for 58%.

The suppressive effect of renewables on nuclear energy: implications for OECD countries

This paper studies the impact of renewables on nuclear energy consumption in 15 OECD countries over the period 1991–2015. We find that the share of renewables (in total electricity production) has negative long-run effects on both nuclear energy consumption per capita and the share of nuclear energy (in total electricity production) while controlling for real GDP per capita, the proportion of carbon emissions from electricity production, and energy dependency. By taking proper account of both cross-section dependence and heterogeneity in the error-correction models, we find that a one percentage point increase in the share of renewables is associated with a 1.8% decrease in nuclear energy consumption per capita and a 2.7% decrease in the share of nuclear energy. Two main implications emerge. First, our results indicate a suppressive effect of renewables on nuclear energy in electric power generation, raising the possibility of restraining installed nuclear capacity through sustained penetration of renewables in OECD countries. Second, our results suggest the limited ability to replace nuclear energy with renewables in electric power generation. As a consequence, raising the share of renewables by rapidly deploying renewable energy technologies on a massive scale may not lead to the intended outcome of greatly reducing the dependence on nuclear energy in OECD countries.

Driving determinants and prospective prediction simulations on carbon emissions peak for China’s heavy chemical industry

Abstract Unprecedented huge mitigation task should be associated with profound efforts in facilitating emission reduction process over the globe. As the largest CO2 emitting country, China has been strenuously promoting the mitigation resilient development pathways in conjunction with the 2030 carbon emission peak commitment from Nationally Determined Contribution document which submitted under the Paris Agreement. Based on the peaking objective, carbon emission in heavy chemical industry should be received most attentions in terms of its large proportion with respect to the emission sources from other sectors. Particle swarm optimization (PSO) algorithm optimized back propagation neural network (BP) model is employed to predict future carbon emission for heavy chemical industry with the timeframe of 2017–2035 on the basis of the previous data. The significant magnitude of each carbon emission driving force is acquired in terms of the absolute influence coefficient method. The results indicated that, carbon emission in heavy chemical industry and its corresponding sub-sectors could be achieved peak under the implementation of the predetermined mitigation scenarios. The proportion of carbon emission in energy processing industry, steel industry, and building material industry is accounted for a larger fraction over the cumulative carbon emission in heavy chemical industry during the simulation period upon 2035.

Carbon quota allocation at the provincial level in China under principles of equity and efficiency

Allocating emission quotas among provinces fairly and efficiently is a critical issue for China. We developed a carbon quota allocation framework at the provincial level considering both the equity and efficiency principles based on a multi-objective non-linear programming model. We established a carbon Gini coefficient and an emission abatement cost function to measure the equity and efficiency of quota allocation, respectively. We then introduced them as objectives into a multi-objective non-linear programming model and obtained the optimal emission quota allocation for 30 provinces in China, by realizing the trade-off between the equity and efficiency principles. Our analysis revealed that Chinese carbon emissions have not yet peaked and that the proportion of carbon emission in each province is similar. Moreover, provinces with higher GDP per capita, carbon intensity, and historical accumulated carbon emissions should shoulder more burden of carbon intensity reduction and higher marginal reduction costs. The rationality analysis indicates that our method outperforms traditional methods according to the principles of both equity and efficiency. We conclude by offering policy recommendations for the establishment of a national unified carbon market.

Carbon footprint in building distributed energy system: An optimization-based feasibility analysis for potential emission reduction

Abstract Buildings account for more than one-third of the global primary energy consumption and are responsible for most of the global greenhouse gas emission. As one of the infrastructures of buildings, energy systems are crucial to control overall energy consumption and associated emissions. Despite much consideration on improving the efficiency of buildings energy system and the utilization of renewable energy, there has been little discussion on the carbon footprint quantification of building distributed energy systems as well as the reduction potentiality. In such a context, this paper proposed a life cycle economic and carbon emissions assessment framework by dividing the building distributed energy system into five stages. Subsequently, a multi-objective mathematical model is developed with minimal life cycle cost and carbon footprint, while respecting energy balance and technical constraints, and the optimal energy system and the carbon footprint distribution are obtained by solving the model. Finally, a case study is conducted on the building energy system design in a district in Xuzhou to test the effectiveness of this method. The correlation between optimal energy system carbon footprint by facility attributes, and the distribution of energy system carbon footprint by stage and source are investigated. It's found that the carbon emissions in the operation and maintenance stage accounts for the largest share in the entire life cycle. In addition, the proportion of carbon emissions from natural gas is the highest, accounting for 65–73% under environmental optimization and 85–88% under economic optimization. Followed by electricity, with a share of 26–34% and 10–14% under environmental and economic optimization, respectively. Finally, a sensitivity analysis is carried out to analyze the impact of energy carbon emission factors.

A Quantitative Method for Carbon Emissions and Emission Reduction Technology for Bituminous Pavement Construction

To develop a low-carbon construction model for bituminous pavement construction, this study divides the fieldwork construction of bituminous pavement into aggregate stacking, aggregate supply, and other stages. This study also reviews a list of previous works that investigate energy consumption during bituminous pavement construction and proposes a quantitative method for CO2 emissions. Based on this method, the proportion of carbon emissions in each stage is analyzed, and the weight coefficient of carbon emissions is calculated. An analytic hierarchy process is used to establish the judgment matrix within the system of bituminous pavement construction, which in turn facilitates the calculation of the weight coefficient in each stage. Moreover, the stages of aggregate heating, bitumen heating, and bituminous mixture mixing are identified as the key stages in quantifying the carbon emissions. The carbon emissions in these three stages account for approximately 64.19%, 14.56%, and 14.02% of the total carbon emissions, respectively. Following the energy evaluation of the key stages, this study proposes a low-carbon building technology scheme that considers both emission reduction and economic benefits. Through the two low-carbon reduction projects of changing the type of energy and reducing the water content, the carbon emissions and costs of bituminous pavement construction are significantly reduced. The proposed energy-saving and emission reduction scheme therefore provides a theoretical basis and technical support for the low-carbon development of bituminous pavement construction.