Total Carbon Dioxide Emissions Research Articles

Impact of diesel/renewable fuels blend on gaseous and particle emissions of a light-duty vehicle under real driving emissions

In this study, the environmental impact of Bio-butanol (BB) and Hydrotreated Vegetable Oil (HVO) use, each blended with diesel fuel, was investigated. To this aim, pollutant emissions were measured at the exhaust of an Euro 5 commercial light-duty vehicle, fueled with diesel, BB/diesel blend (10 %v BB) and HVO/diesel blend (15 %v HVO). The experimental activity was realized by performing Real Driving Emission (RDE) tests in Napoli (Italy), which allowed to measure total hydrocarbons (THC), carbon monoxide (CO), carbon dioxide (CO2), nitrogen oxides (NOX), and particle emissions during the real use of vehicle by using a portable emission measurement systems (PEMS). The results show that the differences between fuels are small and not statistically significant for all emission parameters. CO and THC emissions increase with the renewable fuel blends, mainly with the BB blend in the urban environment due to the increasing of cold start contribution. NOX emissions increased with BB (by approximately 4 %) and decreased with the HVO (by approximately 13 %). With both renewable fuel blends, particle emissions at engine output were reduced by 25 %–41 % and fuel consumption by 6 %–10 % compared with diesel.

The pressure of coal consumption on China's carbon dioxide emissions: A spatial and temporal perspective

As the world's largest coal consumer, China is facing the dual challenge of implementing strict coal reduction policies while heavily relying on coal. It is crucial to comprehend the pressures exerted on carbon dioxide emissions from coal consumption as China strives to transition towards a carbon-neutral era. This study defines and classifies the pressure of carbon dioxide emissions resulting from coal consumption, referred to as “carbon-coal pressure”, in 30 provinces (including municipalities and autonomous regions) from 1997 to 2019. This classification enriches the study of the pressure on carbon dioxide emissions by specific energy types. By calculating the centre of gravity of the carbon-coal pressure and its evolution trends, the spatial pattern of the carbon-coal pressure and the evolution characteristics of the centre of gravity of the pressure are revealed. The results demonstrate that, despite the continuous growth in total coal consumption and carbon dioxide emissions in China, the carbon-coal pressure index exhibits a decreasing trend in certain regions, with significant inter-regional differences. Most provinces fall into the high-pressure and higher-pressure categories. The number of high-pressure provinces has decreased by 33% from 18 to 8, while the number of low-pressure provinces has risen from 0 to 1, and both higher and medium pressure types have increased. The overall stress index decreases from 0.79 to 0.7. The pressure centre displays a similar spatial trend to the overall changes in coal consumption and carbon dioxide emissions centre, albeit with a smaller magnitude of change. Beijing stands out as the only province with low pressure.

Utilization of high fly ash dosage to reduce cement consumption in concrete formulations

The concrete production is responsible for high proportion of total carbon dioxide emission due to enormous consumption of Portland cement. This traditional binder system is due to high autogenous emission during calcination the main carrier of such negative environmental impact. The effective way to reduce the use of Portland cement is to replace that this binding material exhibiting lower energy demandingness. This paper deals with the utilization of fly ash as Portland cement replacement, which is frequently applied in concrete industry. The paper deals the highest replacement level in accordance with valid regulations. The experimental program was focused on the properties of fresh concrete mixture and basic physical and mechanical properties of hardened concrete. The attained results confirmed good potential of this approach, however the increase of plasticizer dosage was necessary to maintain a similar consistency of fresh mixture. That is why the fresh mixture exhibited lower level of air content.

Sustainable steel production: Evaluating the reduction kinetics of iron ore self-reducing briquettes with eucalyptus charcoal

The steel industry in Brazil is responsible for around 5% of total carbon dioxide emissions, releasing around 1.85 tons of CO2 for every ton of steel produced. The use of charcoal in self-reducing iron ore briquettes can be an alternative to reduce fossil fuel consumption and reduce carbon emissions in the primary steelmaking industry, however, the particle size can affect the reduction process. This study aims to analyze the reduction kinetics of charcoal briquettes in three particle size ranges. To this end, the charcoal was characterized using thermogravimetric analysis to determine the contents of fixed carbon, ash and volatiles, analysis of sulphur in the charcoal by combustion in a tube furnace, determination of particle size by laser granulometer, elemental chemical analysis of the charcoal ash by X-ray fluorescence spectrometry. The briquettes were reduced in a thermogravimetric balance to 1100 °C with heating rates between 10 and 40 °C/min. They were characterized by X-ray diffraction. Finally, a kinetic study was carried out using the Coats-Redfern method. In all the briquettes, the controlling mechanism was diffusion. In the mixture with fines, the activation energy ranged from 31.95 to 33.72 kJ/mol and 120.29–137.17 kJ/mol. For the mixture with medium grain size, the activation energy ranged from 58.1 to 89.42 kJ/mol and 107.83–153.50 kJ/mol. X-ray diffraction revealed phases of hematite and magnetite at 800 °C, while at 900 °C phases of wustite and faialite and metallic iron were identified.

An update on bridge carbon dioxide footprint data

Transport infrastructure accounts for a significant proportion of the world's carbon dioxide emissions. Bridges and viaducts use a significant amount of steel and cement; these two industries alone amount to about 16% of the world's total carbon dioxide emissions. The carbon dioxide footprint of bridges and viaducts has been studied, and this paper adds some additional data from various sources. The data analysis is extended, and the key issues of substructure carbon dioxide and bridge size noted in the original research are explored in more detail. New datasets of bridge carbon dioxide with time, with span and carbon dioxide in substructures are introduced to note progress towards net zero. The paper indicates that there has been little change in carbon dioxide content over the past 60 years. The paper summarises the key conclusions from the new data and gives five recommendations towards net zero, along with key performance indicators of good bridge designs considering carbon dioxide footprint.

Electric vehicles application - environmental justification

The transport sector is the second largest source of greenhouse gas pollution in terms of total carbon dioxide emissions in the European Union. Reducing emissions in transport is more expensive than in other sectors because transport is still heavily reliant on fossil fuels. For years, electric vehicles have played a prominent role in the transport sector in terms of solving the f harmful gas emissions problem. They have the potential to reduce CO2 emissions by offering an alternative to conventional vehicles based on internal combustion engines. Although they have zero CO2 emissions in the tailpipe, electric vehicles require the consumption of electricity to produce them as well as to power the battery, which contributes to the creation of CO2 emissions. The paper compares the use of a delivery vehicle with an internal combustion engine and an electric vehicle in the field of road transportation of the postal sector from the aspect of environmental sustainability. The electric vehicle use showed a lower generation of CO2 by 114.2 g/km, taking into account the average emission of carbon dioxide for electric vehicles according to the data of the European Union.

The carbon footprint of American Academy of Orthopaedic Surgeons and Pediatric Orthopaedic Society of North America national meetings

BackgroundThe health care sector contributes substantially to carbon emissions. Estimating the carbon emissions of an event can help determine its climate impact. This study calculates the carbon footprints of the 2019 American Academy of Orthopaedic Surgeons (AAOS) Annual Meeting and the 2019 Pediatric Orthopaedic Society of North America (POSNA) Annual Meeting. MethodsData regarding attendance volume, geographic origin of attendees and vendors, hotel room nights, event space, and duration of meetings were obtained from AAOS and POSNA. Data were entered into an online calculator designed to measure the carbon footprint of large events (www.terrapass.com). ResultsThe AAOS 2019 annual meeting was attended by 29 448 people, requiring 66 000 hotel room nights and 2 308 800 ft2 of convention center space for 5 days. We estimated 7179 short, 8374 medium, and 13 421 long-haul round-trip flights. The POSNA 2019 annual meeting was attended by 1103 people, requiring 1932 hotel room nights and 52 100 ft2 of convention center space for 4 days. We estimated 501 short, 280 medium, and 280 long-haul round-trip flights. The AAOS 2019 meeting emitted 26 075 metric tonnes of carbon dioxide equivalents (CO2e), while the POSNA 2019 meeting emitted 544 metric tonnes. Eighty-one percent of the carbon emissions from AAOS and 80% from POSNA came from flight travel alone. Carbon neutralization of in-person AAOS and POSNA annual meetings would require carbon-offset purchases of approximately $273 700 and $5700, respectively. ConclusionsAnnual orthopaedic meetings contribute to climate change through their large carbon footprint. Leaders in the field of orthopaedics should consider strategies to mitigate the impact of such meetings, examples of which include transitioning to hybrid formats when appropriate and by purchasing carbon offsets for essential in-person participation. Key Concepts1)Calculating the carbon footprint of an event estimates its total carbon dioxide emissions to help determine how to reduce its climate impact.2)The AAOS 2019 meeting emitted 26 075 metric tonnes (MT) of carbon dioxide equivalents (CO2e), while the POSNA 2019 meeting emitted 544MT, with ∼80% coming from air travel alone.3)Carbon neutralization of in-person AAOS and POSNA annual meetings would require carbon-offset purchases of approximately $273 700 and $5700, respectively. Level of EvidenceIV

A dynamic low carbon supplier preference model based on Taguchi method

The dynamic nature of the supply chain due to personalised demand and technological advancements has made supplier selection a challenging issue in supply chain management. This research paper aims to tackle the supplier selection problem in a multi-period, multi-sourced, and multi-product environment by creating a process that places the manufacturer at the centre. Firstly, this paper has constructed a multi-period supplier dynamic preference model that takes into account environmental protection, to minimise the total cost and carbon emissions. Secondly, the Taguchi method is extended to the supplier selection problem in the field of quality engineering. The parameter optimisation process is then designed based on the Taguchi method, aiming to optimise the main key parameters that affect supplier selection and determine the optimisation level combinations upon which the model is solved. Finally, the model's feasibility and evolution are verified through examples of its application. The paper's methodology enhances the model's relevant parameters' robustness, augments decision-making efficiency, and offers suppliers guidance to boost their performance and substantially cut the manufacturer's total procurement expenditure and carbon dioxide emissions.

The impact of fintech-based eco-friendly incentives in improving sustainable environmental performance: A mediating-moderating model

China is the largest emitter of greenhouse gases globally, responsible for a substantial portion of the world's total carbon dioxide emissions. Many researchers investigated this issue; however, the literature is silent on how FinTech-based incentives can improve environmental performance. The research aims to shed light on the complex relationships among FinTech incentives, green consumer behavior, environmental consciousness, and environmental performance. Data was collected from 380 respondents representing diverse roles in the manufacturing industry. We used Smart-PLS and SPSS to test our hypothesis. The results confirm a positive relationship between FinTech incentives and green consumer behavior. However, consumer demographics and environmental awareness do not significantly moderate this relationship. The mediation analysis reveals that green consumer behavior mediates the relationship between FinTech incentives and environmental performance, while environmental consciousness mediates the relationship between FinTech incentives and green consumer behavior. Additionally, green consumer behavior mediates the relationship between environmental consciousness and environmental performance. The study's findings suggest that FinTech incentives effectively encourage eco-friendly choices, positively influencing environmental performance. This research contributes valuable insights for policymakers and businesses seeking to design effective environmental strategies and promote sustainability in the manufacturing industry. By leveraging FinTech incentives to encourage eco-friendly choices and foster environmental consciousness, businesses can contribute to a more sustainable future, aligning with global efforts to address environmental challenges and foster responsible consumption patterns in China and beyond.

Evaluation of PV-based Buck-Boost and SEPIC Converters for EV Charging Applications

In recent decades, environmental issues have become an area of greatest concern due to changes in global climate conditions. The transportation sector is a major contributor to carbon dioxide emissions, accounting for more than 22.9% of total carbon dioxide emissions. At present, most vehicles run on gasoline/diesel as fuel which is unsustainable and unviable as fossil fuels produce carbon emissions and fuel costs are rising. To address these issues, electric vehicles (EVs) offer an attractive solution as alternative to internal combustion engine vehicles that use electricity as an energy source. It is logical to use renewable energy to charge vehicles, which makes renewable energy an end-to-end clean energy source. In electric vehicles, energy conversion plays an important role. In the energy conversion process, alternating current (AC) can be converted to direct current (DC), or direct current can be converted to alternating current. In EV fast charging applications, DC-to-DC conversion is used, which requires DC-to-DC converters. In this paper, a detailed evaluation of the Buck-Boost and Single-Ended Primary Inductance Converters (SEPIC) with PV as input is analyzed for EV charging applications to make it end-to-end clean energy. For this purpose, a 5-by-5 PV system with a Buck-Boost, SEPIC converters with particle swarm optimization technique is considered, which is simulated in a MATLAB/SIMULINK environment. The simulation results showed that the ripples in output are minimal in SEPIC which supports the smooth and efficient charging of EV battery.

Influence of singular and dual MQL nozzles on sustainable milling of Al6061-T651 in different machining environments

Al6061-T651 alloy is widely used in the aerospace industry due to its superior properties and is a very difficult-to-cut material with high quality because of tool wear and thermal softening. This situation causes low surface quality, high cutting force, and limited tool life, as well as an increase in total consumed energy, total carbon dioxide emission, and total machining cost. Therefore, it is necessary to sustainably increase this aerospace alloy's machining performance. In the presented study, for the first time, milling performance and sustainability assessment of Al6061-T651 alloy under dry, minimum quantity lubrication (MQL), nano molybdenum disulfide (MoS2) reinforced nanofluid-assisted MQL (N-MQL) cutting conditions were investigated using the single nozzle and dual nozzles, two different MQL flow rates, and three different cutting speeds. In this context, the results of surface roughness, cutting force, feed force, cutting tool flank wear, total consumed energy, total carbon emission, and total machining cost were obtained. As the cutting speed increased, the cutting force, feed force, total consumed energy, total machining cost, and total carbon emission decreased by 12.9 %, 18 %, 7.8 %, 6 %, and 0.1 %, while the surface roughness increased by 34.9 %. In the MQL and MoS2 N-MQL cutting conditions at the same flow rate, using dual nozzles instead of a single nozzle improved machining response and sustainability indicators. In addition, increasing the flow rate improved machining performance and sustainability indicators. Using the double nozzle MoS2 N-MQL method reduced the surface roughness, cutting force, feed force, flank wear, total consumed energy, total carbon emission, and overall machining cost by 74.2 %, 63.9 %, 68.4 %, 66 %, 27.9 %, 0.4 %, and 6.39 %, respectively.

ЭКОНОМИКО-ЭКОЛОГИЧЕСКИЕ АСПЕКТЫ ВЫБРОСОВ УГЛЕКИСЛОГО ГАЗА В АТМОСФЕРУ

The article examines the relationship between factors influencing greenhouse gas emissions into the atmosphere. Among all the greenhouse gases released into the earth's atmosphere, one of the most polluting ones is carbon dioxide (CO₂). An economic and environmental analysis of CO₂ emissions was carried out based on data from the Global Carbon Atlas, which allows us to see the overall picture of atmospheric carbon dioxide pollution for each country for 2022. The methodology for calculating each of the indicators is given: CO₂ emissions indicators for 2022 by total quantity (CO₂, million metric tons); by the amount of CO₂ emissions per unit of GDP (CO₂/GDP, kg); by CO₂ emissions per capita (CO₂/person, t). A sample of five countries with the highest total carbon dioxide emissions was carried out: China, the United States of America, India, the Russian Federation and Japan. The selected countries are assessed for each of the indicators: CO₂ emissions indicators for 2022 by total quantity (CO₂, million metric tons); by the amount of CO₂ emissions per unit of GDP (CO₂/GDP, kg); by CO₂ emissions per capita (CO₂/person, t). An analysis of additional criteria was carried out, CO₂ emissions per 1 sq. km of territory of each of the selected countries, tons, were calculated. Conclusions are drawn about the existing relationships between factors influencing greenhouse gas emissions into the atmosphere.

Sustainable decisions in a ridesharing system with a tri-objective optimization approach

Over the past years, the concept of ridesharing started receiving more attention to improve the sustainability of transportation systems. Although this concept has a lot of potential due to effective utilization of vehicles, there are still some challenges associated with routing and scheduling of the available vehicles, emissions produced by vehicles, and excessive delays in reaching the final destination. Therefore, this study proposes a novel tri-objective optimization model for routing and scheduling decisions within a ridesharing system, aiming to minimize the total travel time, the total carbon dioxide emissions produced throughout the transportation process, and the total delay in reaching the designated destination. A Multi-Objective Red Deer Algorithm is developed to find efficient Pareto solutions intelligently. The computational experiments confirm the superiority of the proposed algorithm against the alternative methods. Furthermore, the conducted sensitivity analyses reveal some important managerial insights that could be used for intelligent planning of ridesharing systems.

Experimental Study on Role of Nano Particles in Blended Concrete

ABSTRACT Concrete can be conceivably replaced with a material that has concrete's other characteristics--strength, durability, mass availability and low cost--but does not release so much CO2 into the atmosphere during manufacture. The production of cement, the primary component of concrete, accounts for 5 to 10 percent of the worlds total carbon dioxide emissions; the process is an important contributor to global warmingFly ash is generally used as replacement of cement, as an admixture in concrete, and in manufacturing of cement. Whereas concrete containing fly ash as partial replacement of cement poses problems of delayed early strength development, concrete containing fly ash as partial replacement of fineaggregate will have no delayed early strength development, but rather will enhance its strength on long-term basis. This study will be an analysis of replacing part of fine aggregate with fly ash. The main experimental study of this of the project is to replace the sand and cement by suitable nano materials which will have the same properties of sand and cement. The strength of nano particles in blended concrete will be compared with the normal concrete. The blended concrete are made with different percentages as 10%, 20%&30% of fly ash in fine aggregate and with 10%, 20%&30% of fly ash 10%, 20%& 30% of hypo sludge in cement is replaced. These blended concrete with different percentages of specimens are made with well graded sand and sand passing through 425 micron sieve. The compressive strength of different percentages of specimens is compared. The percentage of replacement of cement and sand by fly ash and hypo sludge of specimens in which the highest strength is gained is the correct percentage of replacement for cement and sand by fly ash and hypo sludge.

Optimizing Freight Vehicle Routing in Dynamic Time-Varying Networks with Carbon Dioxide Emission Trajectory Analysis

In this study, we formulate a freight vehicle path-planning model in the context of dynamic time-varying networks that aims to capture the spatial and temporal distribution characteristics inherent in the carbon dioxide emission trajectories of freight vehicles. Central to this model is the minimization of total carbon dioxide emissions from vehicle distribution, based on the comprehensive modal emission model (CMEM). Our model also employs the freight vehicle travel time discretization technique and the dynamic time-varying multi-path selection strategy. We then design an improved genetic algorithm to solve this complicated problem. Empirical results vividly illustrate the superior performance of our model over alternative objective function models. In addition, our observations highlight the central role of accurate period partitioning in time segmentation considerations. Finally, the experimental results underline that our multi-path model is able to detect the imprint of holiday-related effects on the spatial and temporal distribution of carbon dioxide emission trajectories, especially when compared to traditional single-path models.

A Statistical Analysis of Energy Consumption Survey of Public Buildings in a Hot Summer and Cold Winter Coastal Zone of China

Public buildings consume the largest proportion of total energy consumption and carbon dioxide emissions in the building sector of China. Enhancing building energy efficiency becomes a necessary way to reduce greenhouse gas emissions and energy waste. In this study, 10-year real data from 2000 buildings covering five different types of public buildings in a hot summer and cold winter zone in eastern coastal China were investigated to analyze energy-saving potential (ESP) and the impacts of various influencing factors on building energy performance. The concept of energy consumption limit (ECL) was proposed and used for identifying high energy-consuming buildings and the calculation of ESP. Hotels, shopping malls, and office buildings were the top three types of buildings with high ESP. ESP for the high energy-consuming buildings based on the benchmark limits was more than 18%, and that for three-star hotels and shopping malls was 51%. In addition, a correlation analysis between energy consumption and influencing factors was carried out, which laid the foundation for the development of building energy performance assessment and diagnosis tools.

Utilization of Blast Furnace Slag as an Enhancer in Masonry Mortars Made with Thermally Treated Waste Concrete Powder

Every year, a massive amount of natural materials are subjected to high temperatures during cement production, resulting in 5% to 8% of total global carbon dioxide (CO2) emissions. The employment of supplementary cementitious materials (SCMs) for developing construction materials could reduce the use of natural materials and CO2 emissions during cement manufacturing. One option to accomplish this is to examine the possibility of producing masonry mortars using thermally treated waste concrete powder (WCP) and ground granulated blast furnace slag (GGBFS). The main objective of the present study is based on this. The study was conducted in two phases. In Phase I, WCP was thermally treated at various temperatures of 0 °C, 300 °C, 500 °C, and 700 °C and then used to prepare mortars at a binder-to-fine aggregate ratio of 1:3. From the strength results obtained in Phase I, a mortar mixture made with 500 °C WCP was selected for Phase II investigation. Mortars were produced by replacing the 500 °C WCP with GGBFS at 0%, 25%, 40%, 60%, 70%, and 85%. It was found that the performance of the mortars was enhanced when GGBFS was used up to 60%. The mortar mixture containing 60% thermally treated WCP and 40% GGBFS produced the optimal physical and mechanical properties. Also, material characterization was carried out on the binders using X-ray fluorescence, scanning electron microscopy, and thermogravimetric analysis. The results indicate that the thermally treated WCPs and GGBFS contain oxides similar to cement, making them suitable for mortar production. In conclusion, the study has shown the feasibility of producing masonry mortars using thermally treated WCP and GGBFS.

Analysis of the possibility of replacing carbon with hydrogen in the conditions of smelting cast iron from vanadium-containing titanomagnetites

75 % of the total carbon dioxide emissions by ferrous metallurgy enterprises is generated in the blast furnace process. One of the directions of CO2 emission reduction in pig iron production is partial replacement of carbon monoxide with hydrogen as a reducing agent. It is shown that such a replacement can lead to a decrease in the total carbon consumption due to reduction of heat consumption for the direct reduction of iron oxides. Using a mathematical model of the blast furnace process, the efficiency of partial replacement of process fuel (coke, natural gas, pulverized coal) with a hydrogen additive was evaluated. Calculations were performed for the operating conditions of blast furnaces of EVRAZ NTMK JSC, which melt vanadium-containing titanomagnetites. The coefficients of process fuel replacement with hydrogen and the coefficients of the influence of the replacement of process fuel with hydrogen on the change in CO2 emissions are calculated. The dependence of the change in the productivity of the furnace on the consumption of hydrogen at a constant minute flow rate of the blast and its adjustment to maintain the pressure drop has been established. It is shown that in the absence of gas dynamics reserves, the replacement of process fuel with hydrogen will be accompanied by a decrease in furnace productivity. The smelting of pig iron from titanomagnetites with the replacement of technological fuel with hydrogen will complicate the refining of melting products due to an increase in the formation of titanium carbides and carbonitrides. The reduction in CO2 formation at hydrogen entering the blast furnace with natural gas is 0.35 kg/m3 compared to pure hydrogen replacement of 0.73 kg/m3, not taking into account CO2 emission during hydrogen production

Multi-aspect evaluation of a novel geothermal-driven trigeneration system for cooling, heat, and power generation

This paper presents a novel trigeneration process that utilizes geothermal fluid and a gas turbine to generate electricity, heat, and cooling. The trigeneration system comprises a gas turbine cycle, dual flash geothermal-organic Rankine cycle, cooling production unit, and heat and power generation unit. A comprehensive parametric study is conducted from energy, exergy, economic, and environmental perspectives to evaluate the proposed process. Thermodynamic analysis shows that the energy and exergy efficiencies of the system are 46% and 47%, respectively. The total exergy destruction of the process is calculated to be 147,006 kW, with the gas turbine cycle and combustor contributing the highest and second-highest exergy destruction ratios at 66% and 45%, respectively. Environmental analysis reveals that the indirect emission of the proposed structure is zero, and the total carbon dioxide emission is related to the flue gas of the gas turbine unit, amounting to 44,010 kgCO2/h. Considering the production capacity of the three products, the carbon dioxide footprint is determined to be 17.44 kgCO2/MJ. Furthermore, the economic analysis indicates that the total annual cost of the proposed scheme is 56,817,774 $. The production costs for cooling, electricity, and heating are 0.3 $/kg(CW,5℃), 0.073 $/kWhe, and 0.174 $/kgST, respectively. This comprehensive evaluation demonstrates the efficiency and feasibility of the trigeneration process, making it a promising option for sustainable power generation with minimal environmental impact.

A review of prediction models of total carbon emission for civil buildings in China

The carbon emissions from the building sector are one of the major sources of carbon emissions globally. In order to address global climate change, the Chinese government has proposed the 3,060 dual carbon goals. In this context, the government urgently needs a predictive model for calculating and forecasting the energy consumption and carbon emissions in the construction industry to help formulate decarbonization strategies. The review and analysis of a predictive model for the current total carbon dioxide emissions in the Chinese construction sector can provide a basis for calculating and predicting carbon emissions, as well as for formulating corresponding emission reduction policies. This article analyzes the Carbon emission factor and the methods of obtaining building energy consumption data, which are crucial for predicting carbon emissions. Furthermore, it examines the predictive models for total CO2 emissions in the Chinese construction sector and summarizes their respective advantages and limitations. Finally, it highlights the shortcomings of existing research in terms of carbon emission factors, energy consumption data, and accounting scope, while suggesting future research directions.