Problem Of Carbon Emissions Research Articles

A study on long-term industrial electricity consumption and carbon emission forecasting methods based on TimesNet models

Abstract Aiming at the prediction problem of industrial electricity consumption and carbon emission, a TimesNet model is established to improve the accuracy of industrial electricity consumption and carbon emission prediction. Five significant influencing factors were screened out by grey correlation analysis; based on the energy consumption dataset of an iron and steel enterprise in 2023, the dataset was preprocessed and inputted into the TimesNet model, the prediction results were integrated and summarized, and the prediction results of the DLinear, LightTS, PatchTST, and iTransformer time series prediction models were compared and analyzed. The results show that the predicted values of the TimesNet model fit the actual values, and its mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE) are 0.31, 0.36, 0.6, and 1.12, respectively, which are better than those of the other models. It proves that the model can predict industrial electricity usage and release of carbon more accurately, providing a practical method for industrial electricity usage and release of carbon prediction.

Landscape Architecture Carbon Emission Lifecycle Management Tool Based on Artificial Intelligence

In the contemporary discourse, carbon emissions have emerged as a focal point of global concern due to their role in inducing climate warming and precipitating ecological collapse. The establishment of a comprehensive carbon emission management system, coupled with effective measures, holds the potential to mitigate climate change, safeguard ecological integrity, improve health conditions, and promote global sustainable development. The Carbon Lifecycle AI Project Management Tool (CLA) proposed in this paper makes use of Large Language Model (LLM) and image processing model to intelligently analyze and manage the carbon emission of landscape architecture throughout its life cycle, and focuses on solving the carbon emission problem in landscape architecture. By gathering, integrating, and analyzing data related to landscape architecture, including information on material selection, plant configuration, and energy utilization, comprehensive monitoring and management of carbon emissions from landscape architecture are achieved. CLA not only offers real-time monitoring and analytical capabilities for carbon emissions but also identifies emission reduction opportunities and provides corresponding optimization recommendations, thus offering crucial support for the sustainable development of the landscape architecture industry.

Nox Emissions Assessment of a Multi Jet Burner Operated with Premixed High Hydrogen Natural Gas Blends

Abstract Decarbonization of gas turbine combustion creates a pressing demand for new technical solutions for the combustion process. While switching to hydrogen fuels may solve the problem of carbon emissions and associated pollutants it can also lead to stability issues for swirl-stabilized combustors due to its increased reactivity. However, with jet flame burner systems, the required flashback safety can be achieved with high axial flow velocities even for premixed combustion of 100% hydrogen fuel. The development of such an engineering solution, however, requires significant effort to reach the maturity of today's swirl burners. This study examines the capacity of a premixed multi-tube jet burner to manage the chemical reactivity change over a range of volumetric blends from pure natural gas to pure hydrogen fuel. NOx emissions are measured and analyzed for atmospheric tests. The changes in emissions originate not only from altered combustion chemistry but also from changes in flame shape and turbulence intensity. To get a deeper understanding of the NOx formation process, a low-order model is designed and compared to the experimental data of technically and perfectly premixed combustion tests. Parameter variations of the low-order model are conducted to assess the influences on the NOx emission production of the multi jet burner. The information on the combustion process required for the model is obtained computationally and experimentally. Therefore, flame images are recorded and analyzed.

Visualization study on the flame propagation and distribution characteristics and exploration of optimal injection strategy in ammonia/diesel dual direct injection mode

With the increasing shortage of fossil fuels and the worsening carbon emission problems, ammonia has been attracted widely to alleviate the current challenges faced by internal combustion engines. Igniting direct injection of liquid ammonia by diesel may be a measure to achieve effective ammonia application, while the research on the characteristics of combustion and the unburned ammonia emission is little. Therefore, this paper studies the effects of ambient parameters and injection parameters on the characteristics of diesel ignition and flame propagation and distribution based on a constant volume combustion chamber, through the shadow method. The results indicate that the premise to ensure that ammonia can fully participate in combustion is that the flame can backpropagate to the junction of the two sprays. The current optimal injection strategy is the simultaneous injection of diesel and ammonia combined with a complete ammonia injection before the maintained flame. At a low temperature and high diesel injection pressure, ammonia will participate in combustion after a delay, which may result in a relatively low heat release rate and high unburned ammonia emissions. Overall, the paper can provide important references for professional researchers which is of great significance for the development of diesel/ammonia engines.

Ultrafast pressureless sintering of high conductivity Ni-based cermets inert anode for Carbon‐free electrolytic aluminum

Cermet is a promising inert anode material to solve the problem of high carbon emission and bearing C-F harmful gas generation of primary aluminum produced from bauxite using molten electrolysis with carbon anode. However, a major challenge for traditional methods is to ensure that the cermet inert anode simultaneously has good conductivity, corrosion resistance, and strength. Herein, a new ultrafast pressureless sintering (UPS) method is developed to greatly improve the conductivity of metal ceramic inert anode materials while ensuring good corrosion resistance and strength. In a departure from conventional practice that metal phase undergoes local enrichment accompanied by irregular formation of ceramic particles at low heating rates, here UPS achieves rapid diffusion and uniform distribution of metal phase at regular ceramic particle interfaces during liquid phase sintering. The new method is applicable to Ni-based cermet and the production of Ni-based cermet inert anode with excellent conductivity in a few tens of seconds has been demonstrated, which is able to improve the quality of cermet inert anode requiring a low energy input. The conductivity of cermet produced by the applied UPS process is 15-fold higher than that of other pressureless sintering processes with low heating rates. These Ni-cermet inert anodes exhibit high corrosion resistance and density with excellent mechanical properties. This rapid sintering technique facilitates the structural design of inert anodes and develops a pathway of new systems with scalable, efficient, and high-quality sintering of composite materials.

Research on strength and microscopic characteristics of lime-activated fly ash-slag solidified sludge under high temperature effect.

To explore the reaction mechanism of sludge, slag, lime, and fly ash in high temperature environments, the unconfined compressive strength (UCS) test was hereby implemented to study the effect on curing age, curing temperature, slag content and fly ash content about the strength of sludge. Scanning electron microscopy (SEM) was used to observe the microscopic composition of the substance, and X-ray diffraction (XRD) was used to analyze the mineral composition at the micro level to further disclose its reinforcement mechanism. The experimental results demonstrate the difference in the strength measured by different dosage of curing agent, and results indicate that the strength of high temperature curing sample was obviously higher than that of low temperature curing sample. When the curing temperature rises, the pozzolanic reaction and hydration reaction between materials are accelerated, and a certain amount of gel products are produced, playing a precipitation and bonding role between particles. The 28 days and 90 days strengths of the sludge samples with 20% fly ash and 80% slag dosing at 40°C were 1139 KPa and 1194 KPa, which were 1.4 and 1.1 times of that of pure cement solidified sludge. At 60°C, the strength of 14 days, 28 days and 90 days were 802 KPa, 1298 KPa and 1363 KPa, which were 1.1, 1.5 and 1.3 times of that of pure cement solidified sludge. Under the influence of an alkaline environment, the silicon-aluminum grid structure was interconnected into a denser network structure, and the compressive strength of lime-activated fly ash-slag was thus continuously enhanced. Affected by the high temperature, lime-activated fly ash-slag solidified sludge could significantly improve the middle and late strength of the sample. The research showed that the new solidification material can replace partly the concrete curing agent, thereby alleviating the carbon emission and environmental pollution problems arising from cement solidified sludge.

Low-carbon operation of smart distribution grid based on life cycle assessment and ladder-type carbon trading

A large number of EVs are commonly added to peak loads without dispatch in the smart distribution grid system, and the grid system usually suffers from excessive carbon emission problems. This paper proposes an integrated approach to control the smart distribution grid system by utilizing life cycle assessment and the market mechanism. First, the system’s carbon emissions are estimated according to life cycle assessment and carbon flow theory. Then, a bi-level optimization strategy for a smart distribution grid is presented. The upper-layer operation object is the minimum comprehensive operation cost of the smart distribution grid, which is solved using an optimization algorithm. The lower-level optimization goal is to minimize the operating cost of electric vehicles, which is solved using the CPLEX toolkit. Our simulation results demonstrate that overall operating costs have been reduced by 71.11%, while SDG’s overall carbon emissions have been reduced by 49 kg. The low-carbon growth of the smart distribution grid may be successfully promoted by appropriate trading market scheduling and efficient low-carbon dispatching.

Research on the legal system of economic-ecological synergistic compensation in carbon neutral marine cities with a background in big data

With the increasingly severe global carbon emissions problem and the serious threat ecosystems face, carbon neutrality has gradually attracted widespread attention. This study provides an in-depth analysis of practical cases of international carbon neutrality initiatives and relevant experiences of marine cities, focusing on the construction and implementation of a legal system for economic, ecologically coordinated compensation. To evaluate the actual effectiveness of the legal system in marine cities, this study used a multiple linear regression model, considering factors such as the strictness of the legal system, enforcement efforts, and the level of participation of local enterprises and residents. The research results indicate that carbon emissions have significantly decreased in cities where legal systems are effectively enforced, from an average of 1.5 million tons per year to 1 million tons. At the same time, the economic growth rate of these cities has also significantly improved, increasing by about 2.5 percentage points from the original annual average of 4 % to 6.5 %. The study also found that the biodiversity index of these cities increased by 15 %, far higher than the average increase of 5 % in other cities, indicating the positive role of legal systems in protecting biodiversity. The public's participation rate in environmental protection activities has also increased from 25 % to 45 %, and the growth rate of green investment has reached an average of 8 % per year, far exceeding the 3 % growth rate of other cities. In terms of the ecosystem, data shows that the distribution of the ecosystem is stable, with an average ecological index of 508, which is in a relatively ideal state. The annual average growth rate of ecosystem restoration is about 3.5 %, further proving the effectiveness of ecological protection measures. Comprehensive empirical analysis shows that implementing the new legal system effectively reduces carbon emissions, enhances biodiversity, and promotes sustainable economic development. The economic growth rate increased from an average of 4.2 % to 5.1 % per year after implementing the new legal system, fully demonstrating the important role of the economic, ecologically coordinated compensation legal system in promoting carbon neutrality goals in marine cities.

A systematic review of green-aware management techniques for sustainable data center

Cloud computing is one of the powerful engines driving global industrial upgrading and the booming digital economy. However, the explosive growth of cloud data centers (DCs) has resulted in inevitable energy consumption and carbon emission problems. Therefore, constructing energy-efficient and sustainable DCs will be essential for green cloud computing. This review makes several efforts to thoroughly investigate and track the research progress and routes to sustainable DCs. Firstly, we construct a new conceptual model of sustainable DCs to cover cutting-edge research results and indicate future evolutionary directions. Secondly, this review provides a comprehensive survey of five topics from a technical perspective: workload management, virtual resource management, energy management, thermal management, and waste heat recovery. Subsequently, some real-world datasets relevant to the topics, including workload traces, renewable energy data, and electricity price traces, have been specifically collected to support researchers in conducting further research. Finally, based on observations of existing works, we highlight some salient technical challenges and promising solutions to provide sensible energy and carbon reduction suggestions in sustainable DCs.

CARBON EMISSIONS IN AGRICULTURAL GROWTH: A COMPREHENSIVE ANALYSIS OF FACTORS INFLUENCING ORGANIC CROP PRODUCTION IN KAZAKHSTAN

The article examines the problem of carbon emissions into the atmosphere caused by agricultural activities. She analyzes various aspects of the problem, including the impact of fertilizer use, tillage, and animal husbandry on carbon emissions. The article examines modern methods and technologies that can reduce agriculture’s carbon footprint and improve its environmental sustainability. The authors also discuss the role of renewable energy, effective waste management and sustainable practices in agriculture to reduce its contribution to climate change. This study is anticipated to make significant contributions to both recent literature and policymaking in Kazakhstan across several dimensions. Economic regression analysis was conducted using the panel data models such as Random Effects and Fixed Effects, and two econometric models were assessed. The findings of this study shed light on the intricate relationship between carbon emissions and key determinants within the agricultural sector of Kazakhstan. By employing a comprehensive regression model, incorporating various variables such as oilseed imports and exports, investments in the green economy, fertilizer usage, arable land, and economic indicators, this research delves into the nuanced dynamics influencing carbon emissions

Low-carbon and low-cost preparation of non-sintering bauxite-based solid thermal energy storage materials

In recent years, the rapid growth of clean energy has driven the rapid development of solid thermal energy storage (STES) technology in China. However, the preparation process of commonly used sintered magnesia bricks have the problems of high carbon emissions (7 t CO2/t brick) and high cost, which limits the large-scale application of STES technology. This paper proposes a non-sintering strategy for preparing bauxite-based STES materials. The results demonstrate that the prepared material exhibits good mechanical strength at both room temperature (>15 MPa) and medium-to-high temperatures (>10 MPa), resistance to high-temperature creep (>1250 °C), acceptable thermal conductivity (2.23 W·m−1·K−1), and stable thermal cycling performance with a flexural strength of at least 10 MPa after 20 thermal cycles (400–1000 °C), which satisfies the demand for high-temperature energy storage. Furthermore, the carbon emissions of the non-sintering material is only 30 % of that of sintered magnesia brick, and the production costs are significantly reduced, making them a promising alternative to current sintered STES bricks.

Evaluation of the Effectiveness of CSR Programs on Community Behavior Change in Forest Conservation

Global warming can cause climate change and have a broad impact on people's lives. The increase in global temperature is caused by increased carbon emissions due to deforestation in various countries. Forests play a very important role in solving the carbon emissions problem. One source of carbon dioxide emissions throughout the world is the existence of Tropical Forests. One of the countries that has the largest tropical forest in the world is Indonesia. Kalimantan Island is one of the largest islands and has the largest forest area in Indonesia. This research was conducted at PT. Asmin Bara Bronang who runs the company's CSR program. The variables are the implementation of CSR programs, the targets of the CSR programs implemented and their impact on changes in community behavior in forest conservation. This research also discusses the relationship between implementing CSR programs with ISO 26000 and the Sustainable Development Goals. The sampling technique used was purposive sampling. Data collection was carried out through interviews with 43 sources consisting of PT Asmin Bara Bronang employees and community recipients of the CSR program. The collected data was then analyzed using the content analysis method. Research shows PT. Asmin Bara Bronang carries out a CSR program contributes to changes in the behavior of the Dayak Ngaju community in efforts to preserve Kalimantan's forests. It is hoped that this research can complement the literature regarding the implementation of CSR programs in supporting forest conservation programs

Can financial agglomeration curb carbon emissions reduction from agricultural sector in China? Analyzing the role of industrial structure and digital finance

As China enters the process of agricultural modernization, the problem of carbon emissions from agricultural sectors has become increasingly prominent, and the government and academia urgently need to take action. In this context, this study extends the literature through a new perspective of China's financial agglomeration construction that examines the actual role of financial agglomeration on agricultural carbon emissions reduction by using two-way fixed effect model and threshold effect model based on the panel data of 30 provinces in China from 2011 to 2019. Data statistics show that China has formed a multi-center development pattern with Beijing-Tianjin-Hebei, Yangtze River Delta, Guangdong-Hong Kong-Macao as highly financial agglomeration under the influence of different locations, factor endowments and development foundations. Further empirical model estimates reveal the following main findings. Firstly, the effects of financial agglomeration on total agricultural carbon intensity (TACI), agricultural greenhouse gas carbon intensity (AGCI), agricultural energy carbon emission intensity (AECI), and agricultural input factors carbon intensity (ASCI) show an inverted U-shaped curve that from irritating to inhibiting. That is, financial agglomeration is conducive to slowing down agricultural carbon emissions. Secondly, financial agglomeration has a significant inhibitory effect on TACI, AGCI, AECI and ASCI in Beijing and Shanghai. Thirdly, when the industrial structure is more reasonable or the digital finance is more developed, the effect of financial agglomeration on reducing agricultural carbon emissions is stronger. Based on the current research results, promoting the construction of financial agglomeration is an effective way to promote agricultural carbon emissions reduction, and it is suggested that the government design effective systems and policies to slow down the carbon emissions in the agricultural sector.

Exploring Ways to Green Aviation Energy and Reduce Carbon Emissions in Civil Aviation in China

The rapid expansion of China's civil aviation industry has brought about economic prosperity, but it has also exposed the growing problem of carbon emissions. To meet the challenge of climate change and promote the process of sustainable development, China's civil aviation industry is actively exploring innovative ways to green aviation energy and reduce carbon emissions. These include utilizing renewable energy, promoting the use of renewable aviation fuels, applying energy-saving and emission-reduction technologies, and conducting carbon capture and offsetting. Through these efforts, they will help significantly reduce carbon emissions and make an important contribution to the fight against climate change, as well as open up a new path for the sustainable development of China's civil aviation industry.

Analysis of spatial spillover effects and influencing factors of transportation carbon emission efficiency from a provincial perspective in China.

Globally, the transportation industry has become one of the leading sectors in carbon emission, and all countries are committed to environmental protection and energy conservation while experiencing rapid development. Under China's "dual-carbon" goal, the carbon emission problem hinders the construction of China's green transportation system and affects the high-quality development of transportation, so it is of great significance to study the spatial pattern of carbon emission efficiency in the transportation industry and the factors affecting it. Firstly, this paper measures the carbon emission value of transportation in 30 provinces in China from 2010 to 2020 based on the IPCC method and measures the carbon emission efficiency through the super-efficiency slack-based measurement model. Secondly, spatial autocorrelation analysis was conducted to determine the spatial clustering characteristics of the efficiency values. Finally, two spatial Durbin models are constructed to measure the spatial spillover effects and analyze the short-term immediate effects of each influencing factor on the static model and the long-term effects of the dynamic model considering the time lag of the transportation carbon emission efficiency. The results of the study show that (1) the average value of efficiency in the central and eastern regions is basically higher than 0.5; in the western and northeastern regions, it is basically lower than 0.3.The overall efficiency of carbon emission in the region shows a fluctuating upward trend but with increasing regional differences. (2) The number of regions with positive spatial correlation increased from 21 to 25 during the study period, and the degree of provincial transportation carbon emission efficiency agglomeration increased. (3) Although urbanization and energy intensity have a large detrimental influence on transportation carbon emission efficiency, environmental regulation has a major favorable effects on it both long and short term. Population scale, opening level, and urbanization all have significant spatial spillover effects. Accordingly, relevant policy recommendations are put forward to provide theoretical guidance for promoting the realization of low-carbon transportation.

Pulse fractional grey model application in forecasting global carbon emission

Global climate problem has attracted attention from all over the world. How to correctly reflect greenhouse gas emission trend is not only an environmental problem, but also concerns human society's sustainable development. Energy consumption is the primary source of greenhouse gas emission. It is necessary to accurately forecasting energy consumption greenhouse gas emission future trend. COVID-19 epidemic has brought respite from global climate change problem by reducing energy consumption through home office, work stoppage, and global travel ban. However, in the post-epidemic period, energy consumption greenhouse gas emission intensity trend has become the center research field. This study takes global energy consumption carbon emission problem as the main research line and focuses on forecasting global energy consumption carbon dioxide emission trend in major regions based on COVID-19 epidemic shock background. The study considering epidemic shock volatility characteristic. Firstly, fractional order grey mode (FGM(1,1))is used as the baseline model to balance time series data weight. Secondly, Median absolute deviation data preprocessing is introduced to reduce data fluctuation. Finally, a novel delaying pulse shock function optimized background grey forecasting model is also proposed to reflect epidemic shock-response characteristic. The proposed model is compared with existing models. It is found that data preprocessing and novel proposed model not only improves historical data's fitting quality by reflecting COVID-19 epidemic's shock characteristic, but also showed excellent forecasting performance for future trend. The novel grey model largely solves existing model underfitting/overfitting problem. In the end, based on forecasted results, we summarize research conclusion and implication.

A Sequential Hybrid Optimization Algorithm (SHOA) to Solve the Hybrid Flow Shop Scheduling Problems to Minimize Carbon Footprint

In today’s world, a situational awareness of sustainability is becoming increasingly important. Leaving a better world for future generations is becoming the main interest of many studies. It also puts pressure on managers to change production methods in most industries. Reducing carbon emissions in industry today is crucial to saving our planet. Theoretical research and practical industry requirements diverge, even though numerous researchers have tackled various strategies to handle carbon emission problems. Therefore, this work considers the carbon emission problem of the furniture manufacturing industry in Hosur, Tamilnadu, India. The case study company has a manufacturing system that resembles a hybrid flow shop (HFS) environment. As the HFS scheduling problems are NP-hard in nature, exact solution techniques could not be used to solve the problems. Hence, a sequential hybrid optimization algorithm (SHOA) has been developed in this paper to minimize the carbon footprint. In the SHOA, the pigeon-inspired optimization algorithm (PIOA) is hybridized sequentially with the firefly algorithm (FA). A computational experimental design is proposed to analyze the efficiency of the introduced strategy, and the solutions indicate that the developed approach could reduce the carbon footprint by up to 9.82%. The results motivate us to implement the proposed algorithm in the manufacturing industry to reduce the carbon footprint.

How to promote GBTs innovation through multi-agent collaboration: An evolutionary game system simulation approach

Facing the serious pollution and carbon emission problem, China actively develops and applies GBTs (green building technologies) to realize the dual-carbon target, while the innovation of GBTs is deeply influenced by multiple subjects and factors. This study constructs a tripartite evolutionary game model of GACEs-ARIs, analyzes the inner mechanism of the collaborative innovation process of GBTs through simulation. It is found that: (1) GA is the most crucial subject in the process of collaborative innovation, which plays the role of coordinating the decision-making of the rest of subjects; (2) The trust degree and the benefit distribution coefficient are the influencing factors that play an important role in determining the start and continuation of collaborative innovation; (3) To actively promote the collaborative innovation of GBTs, GA should play a good role as an intermediary to ensure that the trust between the two sides is at a high level, and negotiate a reasonable distribution ratio, actively mobilizing the cooperation of CEs and ARIs by incentives and penalties.

Solution processing of crystalline porous material based membranes for CO2 separation.

The carbon emission problem is a significant challenge in today's society, which has led to severe global climate issues. Membrane-based separation technology has gained considerable interest in CO2 separation due to its simplicity, environmental friendliness, and energy efficiency. Crystalline porous materials (CPMs), such as zeolites, metal-organic frameworks, covalent organic frameworks, hydrogen-bonded organic frameworks, and porous organic cages, hold great promise for advanced CO2 separation membranes because of their ordered and customizable pore structures. However, the preparation of defect-free and large-area crystalline porous material (CPM)-based membranes remains challenging, limiting their practical use in CO2 separation. To address this challenge, the solution-processing method, commonly employed in commercial polymer preparation, has been adapted for CPM membranes in recent years. Nanosheets, spheres, molecular cages, and even organic monomers, depending on the CPM type, are dissolved in suitable solvents and processed into continuous membranes for CO2 separation. This feature article provides an overview of the recent advancements in the solution processing of CPM membranes. It summarizes the differences among the solution-processing methods used for forming various CPM membranes, highlighting the key factors for achieving continuous membranes. The article also summarizes and discusses the CO2 separation performance of these membranes. Furthermore, it addresses the current issues and proposes future research directions in this field. Overall, this feature article aims to shed light on the development of solution-processing techniques for CPM membranes, facilitating their practical application in CO2 separation.

Developing a Green Supplier Evaluation System for the Chinese Electric Vehicle Battery Manufacturing Industry Based on Supplier Willingness to Participate in Green Collaboration

To control the carbon emission problem arising from the manufacturing process of electric vehicle batteries, green collaboration with raw material and equipment suppliers is critical. However, Chinese electric vehicle battery manufacturers are still unsure how to measure suppliers’ green collaboration willingness, and existing studies have also failed to develop an evaluation system for such measurement. Therefore, this article aims to build a supplier evaluation system based on the green collaboration willingness for Chinese electric vehicle battery manufacturers. Based on the above, this article designs an analysis process based on the case study method concept and combines it with the decision-making trial and evaluation laboratory, analytic network process, and best-worst method to develop a methodology. The research results show the following. 1) The evaluation system involves four criteria, including the ability to meet buyer needs, the relationship between manufacturers and suppliers, responsibility and commitment, and the implementation of environmental management, of which the ability to meet buyer needs is the most important criterion. 2) The relationships between manufacturers and suppliers are a critical criterion for measuring suppliers’ willingness to collaborate in green supply chain improvement. 3) Based on the abovementioned factors, we also identify a causal relationship between the critical criterion and other criteria. In contribution, in addition to filling the gap in the literature, the evaluation system proposed in this article can also help battery manufacturers select suppliers with high collaboration willingness to promote the decarbonization of battery production.