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As the global shipping industry experiences rapid expansion, the imperative to address greenhouse gas emissions and environmental impact becomes increasingly paramount. Hydrogen has emerged as a pivotal and eco-friendly energy source, offering a pathway towards carbon neutrality and a complete zero-carbon transition in maritime operations. However, the widespread adoption of hydrogen-powered ships hinges on the establishment of robust regulations and technical standards. This paper conducts a comprehensive examination of hydrogen fuel cell (FC) technology in ships, scrutinizing the role of international classification societies and exploring existing standards and regulations within the maritime industry, specifically centered around hydrogen energy. The study outlines a strategic developmental roadmap for a green shipping hydrogen energy system tailored for hydrogen FC-powered ships in China. Emphasizing the differences in hydrogen application between fuel cell vehicles and ships, the paper elucidates technical challenges unique to hydrogen FC-powered ships. Furthermore, it proposes a visionary framework for future technical standards, advocating for the creation of a ship-based hydrogen energy standard system, the development of core technical standards, and a heightened focus on safety regulations. Through comprehensive analysis and compelling argumentation on hydrogen fuel cell ship technology and standards, this paper underscores the indispensable role that technical standards play in propelling the advancement of environmentally friendly shipping. Beyond serving as an informative resource, the paper aims to provide valuable guidance and direction for the future demonstration, application, and promotion of hydrogen fuel cell ship technology. Ultimately, it underscores the pivotal role of technical standards in advancing sustainable maritime transportation. • Analyze hydrogen energy technical standards from the production, storage, safety. • Comparison of hydrogen energy technical differences between vehicles and ships. • Outline the unique challenges of applying hydrogen technology to ship operations. • Constructed a technical standard framework for future hydrogen energy ships. [ABSTRACT FROM AUTHOR]

• The cloud-pipe-edge-end operation and communication architecture: aiming at the data privacy problems caused by multi-subject operation in the district integrated energy system, the cloud-pipe-edge-end operation and communication architecture is introduced into the district integrated energy system, which not only protects the data privacy, but also solves the problem that the terminal device information data is large and difficult to collect in real-time, and improves the efficiency of real-time collection, calculation and transmission of multi-energy data information in the system. • Waste heat recovery of energy coupling equipment: aiming at the problem that further reuse of internal waste energy that is not considered in the hierarchical optimization process of district integrated energy system, this paper recycles the heat generated by the combined heat and power and the power to gas during operation, and finds that when 1 kWh of electric energy is used, the heat that can be recycled is 0.1187 kWh, which improves the utilization rate of energy. • A two-layer distributed scheduling model of the district integrated energy system: aiming at the problem that the hierarchical optimization of district integrated energy system, only the economy is considered, and the low-carbon nature of the system and the multi-energy interaction between subsystems are not considered. A two-layer distributed scheduling model of the district integrated energy system is established based on a laddered carbon trading mechanism, which reduces carbon emissions, and maximizes benefits for all parties. • ATC algorithm: aiming at the problem that the optimized sub-objectives in the two-layer model are strongly coupled and cannot be solved quickly and accurately, a two-layer model solving method based on ATC is proposed, which decouples the upper and lower layers by adding augmented Lagrange penalty function, which is very suitable for the decentralized computational architecture of this paper, and realizes the energy mutualization and the balance of interests among multiple subjects while taking into account the data privacy protection. The district integrated energy system has the characteristics of multi-layer and multi-subjects. Aiming at the problems of data privacy, conflict of interest, and mismatch of interaction power among these multi-subjects, a hierarchical distributed optimal scheduling decision-making method for district integrated energy system based on analysis target cascade is proposed. Firstly, the operational communication architecture of the district integrated energy system based on the cloud-pipe-edge-end is constructed to solve the problems of data transmission, data computation, and data privacy. Secondly, a two-layer distributed scheduling model of district integrated energy system considering waste heat recovery is established based on a laddered carbon trading mechanism. At the upper level, an optimal scheduling model targeting low-carbon and economic performance is developed by considering the participation of district integrated energy system in demand response and the purchase and sale of electricity. At the lower level, an optimal scheduling model considering waste heat recovery for subsystem energy-coupled equipment is developed. Then, the analytical target cascade is used to realize the decoupling of the two-layer model, and the efficient solution is achieved in the process of multiple iterations. Finally, by analyzing the arithmetic examples, it is verified that the proposed method can improve the economy of system operation by 4.38% and the absorption capacity of wind power by 9.89%, while protecting the privacy and interest claims of multiple parties. [Display omitted] [ABSTRACT FROM AUTHOR]

Under carbon cap-and-trade regulation, to control carbon emissions and improve the recycling efficiency of waste electrical and electronic equipment (WEEE) from the traditional offline recycling channel, more enterprises attempt to simultaneously combine the online recycling platform with the digital transformation of the supply chain. Based on a closed-loop supply chain (CLSC) with dual recycling channels and considering recycling advertising invested both in offline and online recycling channels, this paper attempts to explore the optimal recycling advertising mode which can both achieve economic and environmental performance under cap-and-trade regulation. Therefore, game models including a manufacturer and above either recycler are established, which are respectively correspond to four recycling advertising modes: manufacturer cooperates with neither recycler (MO mode), manufacturer only cooperates with the offline retailer (MR mode), manufacturer only cooperates with the online recycling platform (MT mode), and manufacturer cooperates with either recycler (MRT mode). Consequently, this paper solves the optimal decisions of the tripartite and focuses on the analysis of the impact of cooperative (competitive) recycling advertising under cap-and-trade regulation. By comparing the profits and total carbon emissions of the whole CLSC under four recycling advertising modes, the results indicate that: cooperative advertising between the manufacturer and two recyclers can achieve economic and environmental performance for the whole CLSC if the free-riding phenomenon occurs in recycling advertising. Otherwise, influenced by competitive recycling advertising, the above mode turns to the suboptimal one for the profits of two recyclers and the total carbon emissions of the CLSC. Moreover, driven by economic benefits, cooperative advertising will eventually become a consensus, but the total carbon emissions may not always be the least. [ABSTRACT FROM AUTHOR]

The ever-increasing challenges related to water security and climate mitigation underscore the pressing need for forward-thinking systems planning tools to drive urban sustainability transitions. In this study, we propose a novel city-level multi-objective planning framework that explores the nexus between carbon trading and water management, with the aim of facilitating water-efficient urban industrial restructuring. The framework integrates cap-and-trade mechanisms into a two-layered optimization model, creating an integrated approach to optimizing carbon emissions and generating economic opportunities for improving water efficiency. To illustrate the potential application of this framework, we conducted a case study focusing on Dongguan City, a water-stressed industrial metropolis in southern China. The results illustrate potential synergies between water planning strategies and carbon trading schemes, which could be harnessed to enable targeted reductions in water usage and carbon emissions. Furthermore, our findings identify the textile, apparel, and paper products manufacturing industries as primary candidates for strategic production scale reduction, emphasizing the importance of sustained support for the development of the computer and electronic manufacturing sector as a catalyst for urban sustainability transitions. By pioneering this new nexus-based perspective, our study offers valuable insights into long-term strategic planning for a low-carbon and resource-efficient urban economy. • Synergizing carbon trading and water management within a novel integrated planning framework. • Implementing resource-efficiency-driven optimization for water- and carbon-intensive manufacturing sectors. • Gaining insights into the specific roles of key manufacturing sectors in water management and carbon trading. • Introducing carbon trading systems may help in promoting water-efficient industrial restructuring. [Display omitted] [ABSTRACT FROM AUTHOR]

• We examine the role of circular economy and inclusive green growth in promoting energy transition and carbon neutrality in Europe. • We used three-pronged empirical strategy framed in advanced dynamic econometrics. • The results reveal that lagged of CO 2 emissions is a positive predictor of CO 2 emissions. • We show that embracing circular economy and inclusive green growth will be highly beneficial towards the attainment of carbon neutrality. • We recommend policy measures that considers both current and past emissions to promote environmental quality. This paper examines the role of the circular economy and inclusive green growth in promoting energy transition and carbon neutrality for several European countries during 2009–2021, using an advanced econometric strategy. To achieve this objective, we employed a three-pronged empirical strategy. The first strategy involved standard panel specifications, such as pooled ordinary least squares, Fixed Effects, Roger panel regression, white panel regression, and Driscoll–Kraay standard errors. The second strategy explored the long- and short-term dynamics of the relationships using the dynamic specifications of the Generalised Method of Moments, comprising the augmented Arellano–Bond, Ahn–Schmidt, Arellano–Bond, and Arellano–Bover/Blundell–Bond estimators. It further controls for endoegeneity using the Two stages Lease Square (2SLS and Lewbel 2SLS). The third strategy employed the Machado and Silva quantiles via moments to re-evaluate the heterogeneity drivers of carbon neutrality. Furthermore, an alternative and complementary strategy based on the statistical procedures of Hausman–Taylor and Feasible Generalized Least Squares was employed to verify robustness. The findings suggest that prior carbon emissions positively predict future emissions. Also, our results reveal that the adoption of a circular economy, including green growth and renewable energy, can significantly contribute to reducing carbon emissions. In contrast, domestic economic drivers, and eco-innovation increase carbon emissions. We propose that policymakers mandate producers to oversee the entirety of their product life cycles as a means to mitigate carbon emissions. Furthermore, endorsing training programs and educational initiatives aimed at cultivating the requisite skills for the energy transition and the adoption of circular economy practices is imperative for ensuring the realization of a successful low-carbon economy. [ABSTRACT FROM AUTHOR]

Decarbonizing the building sector to achieve sustainable development goals (SDGs) is a complex issue that poses significant challenges to the scientific community. In this context, the current paper aims to assess the viability of employing incinerated by-products as a sustainable mineral resource to produce sustainable geopolymers. To this end, the study focuses on the formulation of geopolymer binders using fly ash with various proportions (ranging from 0 % to 50 %) of metakaolin (MK), investigating their physico-mechanical, microstructural analysis as well as their sealing capacity. The results indicate that incorporating 30 % MK not only preserves good workability but also significantly improves mechanical strength, ensuring long-term durability by increasing bulk density and concurrently reducing water absorption and harmful porosity. Moreover, the results of the Toxicity Characteristic Leaching Procedure (TCLP) demonstrated that the released contaminants remained within the regulatory limits established by the USEPA. The geopolymer binder developed exhibited a significant reduction of 77.23 % and 57.92 % in terms of carbon dioxide equivalent (CO 2 -e) emissions and energy demand compared to conventional cement. This study introduces a novel approach to promoting a circular economy within the building sector. [Display omitted] [ABSTRACT FROM AUTHOR]

Fossil-based natural resources are carbon-intensive, and over-reliance on them often leads to persistent high carbon emissions at national or regional levels, resulting in the carbon curse. Based on the panel data of 114 resource-based cities in China from 2007 to 2020, this paper examines the carbon curse and solutions for these cities from the perspectives of total and intensity of carbon emissions. The results show that: Firstly, due to the different stages of urban development, resource endowment, degree of resource dependence, and policy background, there is a heterogeneity of carbon curse in China's resource-based cities. Secondly, the carbon emission trading policy can effectively mitigate the carbon curse in China's resource-based cities, and the robustness tests demonstrate the validity of this finding. Thirdly, under the carbon emission trading policy, industrial structure upgrading and digital transformation can play a secondary moderating role in resolving the carbon curse in resource-based cities, further strengthening the inhibitory effect of the carbon emission trading scheme on the carbon curse. In contrast, green technology innovation exhibits no enhancement in the impact of the policy. These findings contribute to the existing research on the carbon curse, offering valuable insights and policy implications for effectively addressing this challenge. [ABSTRACT FROM AUTHOR]

• Carbon emissions trading, industrial structure upgrading and green development are integrated into a unified analytical framework. • Taking the carbon trading mechanism as the moderating variable can effectively combine the method of comparative static analysis. • Whether in the long term or the short term, the carbon pilot policy and the industrial structure upgrading policy implemented at the same time will have excess benefits. • When factor flow between cities is considered, excess benefits still exist significantly. Clarifying the influence mechanisms of carbon emissions trading scheme (ETS), industrial structure upgrading (ISU), and green development is of great theoretical and practical significance. Existing studies have only focused on the role of ETS or ISU on green development and have not included them in an analytical framework. The DID model and the moderating effect model are therefore combined in this work to to explore how the ETS will affect the link between ISU and green development throughout the period of 2008 to 2019 using panel data from 271 Chinese cities. Through a series of robustness and endogeneity tests, we find that: (1) ETS can significantly moderate the U-shaped relationship between ISU and green development, and this impact is significant in both the long and short term; (2) When ETS and ISU are implemented at the same time, the effect of the combined actions is greater than the sum of the effects of the two policies implemented separately, which means that the combined actions has excess dividends; (3) ETS and ISU have significant direct effects and spatial spillover effects on green development, and the excess dividends of combined actions also exist significantly at the spatial level. The research results of this paper provide an important theoretical and empirical basis for establishing the combined actions of ETS and ISU. [Display omitted] [ABSTRACT FROM AUTHOR]

Hydrogen energy is recognized as a crucial solution for addressing energy crises and advancing energy conservation and emissions reduction. It will play a significant role in the future integrated energy systems (IESs). However, the influence of seasonal variations in scheduling optimization of hydrogen-integrated energy system has rarely been investigated. A low-carbon scheduling model for IES, adopting multiple demand responses and a ladder-type carbon trading mechanism, has been established. Additionally, a multi-time scale dispatch optimization strategy considering seasonal hydrogen utilization is thus proposed in this paper. Specifically, day-ahead scheduling optimizes the system taking into account the seasonal variations of renewable energy and load. In the intraday stage, rolling optimization is adopted to address the forecasting errors introduced by wind and photovoltaic fluctuations. In the real-time stage, chance-constrained methods are employed to ensure short-term supply-demand balance. The efficacy of the proposed strategy is verified using real-world measurements, and the results show the multi-time scale scheduling strategy and multiple demand responses effectively enhanced the system's self-regulation capability, leading to a 12% increase in renewable energy absorption. In addition, seasonal hydrogen utilization is essential for system design, as it enhances the absorption of renewable energy, reducing the purchase cost by 4% and the total cost by 2.6%. • Integrated energy system considering seasonal hydrogen utilization. • Multi-time scale optimization with multiple demand response. • Ladder-type carbon trading mechanism reduces system carbon emissions. • Refined hydrogen utilization increased renewable energy absorption by 12%. [ABSTRACT FROM AUTHOR]

• A life cycle assessment (LCA) of solid recovered fuel (SRF) was conducted. • SRF production process contributes to about 35.6 kg CO 2 -eq per ton. • A maximum of −1752.03 kg CO 2 -eq was obtained with about 80 % of SRF biogenic carbon. • A footprint of −542.09 to −1729.05 kg CO 2 -eq can be found due to coke substitution. • The study recommended SRF production to mitigate the global carbon footprint. Solid recovered fuel (SRF) from non-recyclable waste obtained from source separation and mechanical treatments can replace carbon coke in cement plants, contributing to the carbon neutrality. A life cycle assessment (LCA) of the SRF production from non-recyclable and selected waste was conducted in an Italian mechanical treatment plant to estimate the potential environmental impacts per ton of SRF produced. The analysis would contribute to evaluate the benefits that can be obtained due to coke substitution in best- and worst-case scenarios. The avoided impacts achieved were assessed, together with an evaluation of the variables that can affect the environmental benefits: SRF biogenic carbon content (in percentage of paper and cardboard); transportation distances travelled from the treatment plant to the cement kiln; the renewable energy used in the mechanical facility. On average, about 35.6 kgCO 2 -eq are generated by the SRF transportation and production phase. These impacts are greatly compensated by coke substitution, obtaining a net value of about −1.1 tCO 2 -eq avoided per ton of SRF. On balance, the global warming potential due to SRF production and consumption ranges from about −542 kgCO 2 -eq to about −1729 kgCO 2 -eq. The research recommended the use of SRF to substitute coke in cement kilns also in low densely-populated areas to mitigate environmental impacts and achieve carbon neutrality at a global level. [ABSTRACT FROM AUTHOR]

• A bibliometric analysis of the relevant literature on tunnel lighting was conducted. • The literature is sorted by energy saving, visual comfort, and low carbon. • The relationship between energy saving and low carbon is discussed. • The relationship between energy saving and comfort is also discussed. • The optimization methods of tunnel light environment are summarized. A reasonable and applicative tunnel light environment is important to ensure driving safety. This review aims to contribute to this growing area of research by exploring the tunnel lighting, which expands from safety to visual comfort, energy saving, and low carbon This paper employs bibliometric method to a visual analysis of the relevant literature and summarizes current research efforts and development directions. Firstly, the literature is visually presented by CiteSpace to elaborate the state-of-art with the dimensions of the timeline graph, the keyword co-occurrence graph, and the institutions & countries co-occurrence graph. Afterwards the literature is reviewed from three major perspectives: energy saving, visual comfort, and low carbon. Current research is mainly on luminaire arrangement, auxiliary lighting and other measures to reduce energy consumption. Visual comfort is mainly improved by optimizing the light environment's physical quantities, e.g. luminance, color temperature, color rendering etc. Current measures to achieve low carbon targets include green energy, green photoconductivity, green luminaires and green operation. Energy saving, visual comfort and low carbon are interrelated and complementary. However, a systematic understanding of how tunnel lighting contributes to carbon emission is still lacking. There is still room for development in tunnel lighting to achieve full intelligent control and the goal of carbon neutrality. [ABSTRACT FROM AUTHOR]

The Chinese government has considered the transcritical CO 2 heat pump (TCHP) as a promising solution for space heating with the goal of "carbon peaking" and "carbon neutrality." Considering the convenient implementation and the performance improvement, the vapor injection technique should be taken into consideration. This paper presents the experimental and simulation investigation of the SCVI TCHP prototype with energetic and economic analysis. Under the design condition, the SCVI technique could improve the peak COP by 5.02 % with a 10.11 % improvement in heating capacity. Compared to the direct electric heater solution, the annual operation cost was reduced by 11966CNY, 29.03 % higher than the Base TCHP. The payback period was decreased from 8 to 6.9 years due to the application of vapor injection. The effect of ambient temperature on the system performances was evaluated based on the experimental data. As the simulation progressed, a control strategy optimizing both the discharge and the medium pressure was developed, and the influence of inlet and outlet water temperature was studied. [ABSTRACT FROM AUTHOR]

The increasing trend towards global carbon neutrality is driving interest in ammonia fuel as a potential zero-carbon solution for transportation. However, due to the non-ideal combustion characteristics of ammonia, it is necessary to mix it with hydrogen to achieve better engine performance. While generating hydrogen from ammonia on-board is a key technology, there has been limited research in this area, which is hindering the introduction of ammonia engines to the market. This paper proposes an initial study on the feasibility of thermochemical fuel reforming (TFR) technology for generating hydrogen from ammonia fuel-rich operations. A zero-dimensional engine model, validated against experimental results, is used to assess the potential of the TFR approach and identify any barriers to implementation. The results indicate that the optimum air-fuel ratio for hydrogen generation is an equivalence ratio of two, as it maximizes hydrogen production rates while minimizing operational complexities. Moreover, increasing intake temperature, pressure, and compression ratio enhances hydrogen generation from the ammonia-rich mixture. However, owing to the limited reactivity of the ammonia fuel, the rate of hydrogen production remains relatively small (less than 1%/cycle), significantly falling short of the demand. Additionally, the combustion of the fuel-rich mixture in the TFR cylinder results in approximately 20%/cycle of hydrogen in the emitted gases, potentially enhancing the efficiency of working cylinders, but it also poses the risk of engine component failures due to the high pressure rise rate. In conclusion, the use of solely ammonia to produce hydrogen in the TFR cylinder proves to be inefficient, warranting further investigations into the potential benefits of incorporating additives to promote hydrogen production. Alternatively, if a catalyst is utilized to promote hydrogen production from ammonia, a separate electrically heated hydrogen generation system independently of the engine system proves to be more effective, allowing continuous hydrogen production, unlike the intermittent high-temperature environment provided by TFR technology. • Hydrogen production using in-cylinder thermochemical ammonia reforming is evaluated. • An air-ammonia ratio of ϕ = 2.0 is identified as optimal for hydrogen production. • Unfired conditions produce less than 1% of hydrogen in the exhaust per cycle. • Fired conditions can produce ∼20% of hydrogen in the emitted gases per cycle. • Extremely high pressure rise rates are implementation barriers for fired conditions. [ABSTRACT FROM AUTHOR]

Hydrogen is not only an important energy carrier needed to achieve the global goal of carbon neutrality, but also an important way of international energy trade in the future. This research analyzes the advantages and challenges of China's participation in international hydrogen trade in detail, proposes the possible routes of China's international hydrogen trade, and proposes specific measures to enhance China's participation in international hydrogen trade. This paper proposes that China should take green hydrogen as its development direction, and guide the development of China's hydrogen trade with the principle of blue green cooperation and gray hydrogen withdrawal. In the future, China's hydrogen trade forms will be diversified, and the types of trade will cover the entire hydrogen energy industry chain. Therefore, China should accelerate the overall deployment of hydrogen trade and the construction of hydrogen trade infrastructure, and build a more sophisticated hydrogen economy. [Display omitted] • The advantages of China's international hydrogen trade are analyzed. • Discussed China's possible international hydrogen trade routes in the future. • The obstacles affecting China's hydrogen competitiveness are analyzed. • Put forward suggestions to promote China's international hydrogen trade. [ABSTRACT FROM AUTHOR]

Solid oxide fuel cell (SOFC) is a promising energy conversion technology for accelerating the process of carbon neutrality. This paper develops and validates a 1D mathematical model for a planar SOFC (10 cm × 10 cm) along the fluid flow direction with a less than 0.2% deviation. When the SOFC operates in an adiabatic environment with different inlet gas temperatures (T in) and current density (I avg), the distributions of its key parameters are calculated and analyzed. The results show that the optimal inlet gas temperature for the SOFC working in an adiabatic environment is between 873 K and 973 K when I avg varies from 0.05 A cm−2 to 0.25 A cm−2. The maximum temperature appears at the outlet position and between the outlet and the center point along the flue flow for the co-flow and counter-flow SOFC. Compared with the co-flow pattern, the counter-flow design can benefit the fuel cell power output when T in and I avg are identical, especially with lower T in and higher I avg. The output power of counter-flow SOFC is larger 11.3% than that of the co-flow one at most with the research range in this work. • A 1D model of the SOFC is developed and validated within 0.2% deviation. • Distribution characteristics of the SOFC in the adiabatic environment are analyzed. • The temperature gradient of the fuel cell decreases with the inlet gas temperature. • 11.3% more power can be obtained by adopting counter-flow SOFC in adiabatic. • The optimal inlet gas temperature varies from 873 K to 973 K for the adiabatic SOFC. [ABSTRACT FROM AUTHOR]

Green hydrogen production from biomass is an eco-friendly and sustainable solution for reducing carbon emissions and promoting sustainable development. This paper presents potential green hydrogen production from available biomass resources, including agricultural crops and livestock waste in Kazakhstan in 14 regions. The study explores the potential of biomass-to-hydrogen production in Kazakhstan, including the availability and quality of biomass resources and environmental sustainability. The gasification process is chosen as the most efficient technology for biomass resource consumption to obtain green hydrogen. This is the first study in Kazakhstan contributes assessment of the geographic distribution of available biomass resources in the country. The total amount of green hydrogen production from agricultural waste is 432 tonnes/km2/year. Turkestan, Kyzylorda, Almaty, East Kazakhstan, Zhambyl, and North Kazakhstan are listed as regions with the highest green hydrogen production potential with an annual 122.2, 71, 57.6, 35.3, 29, and 28.5 tonnes/km2/year, respectively. Annual green hydrogen production from livestock waste is 5262 × 10−6 tonnes/km2/year which equals to 856 tonnes/year. The top three three regions with H 2 production are Turkestan, Almaty and East Kazakhstan regions with 208, 112.5, and 93 tonnes/year, respectively. The results provide a perspective contribution for different regions to the sustainable energy future and carbon neutrality in the country. • Estimation of H 2 production potential from biomass resources in Kazakhstan. • Gasification technology appears as the most promising alternative for H 2 production. • First study in Kazakhstan assesses the geographic distribution of available resources. [ABSTRACT FROM AUTHOR]

To achieve a win-win situation among multiple stakeholders within the integrated energy system, this paper proposes a low-carbon scheduling research of integrated energy system based on Stackelberg game under sharing mode. Firstly, an operation framework of integrated energy system based on leader-follower game was established, and a model of integrated energy system operator and user coalition was established considering carbon trading mechanism. Secondly, bi-directional long short-term memory is used to predict the travel data of electric vehicles, and a schedulable capacity model for electric vehicle cluster as shared energy storage was established. Then, an energy trading optimization model based on leader-follower game was constructed for integrated energy system operator and user coalition, and an improved Shapley value is adopted to realize cost allocation within user coalition. Finally, based on the demonstration project of Sino-Singapore Tianjin Eco-City is selected as the research object to make example analysis. The calculation results show this paper can achieve a reasonable benefit allocation among multiple participants, reduce carbon emissions of integrated energy system, and increase renewable energy accommodation capacity. The relevant achievements are a preliminary exploration for an effective mode of sharing economy in integrated energy system. • A low-carbon scheduling strategy of integrated energy system considers Stackelberg game under sharing mode. • A stepped carbon trading mechanism is introduced in the energy price decision of integrated energy system operator. • Bi-LSTM algorithm was used to predict EV cluster data, and Minkowski sum theory was used to get its schedulable capacity. • Everyone in user coalition participants in cooperative game, Individual cost can be allocated by improved Shapley value. • Dichotomy method is used to solve leader-follower game, example uses pilot project of Sino-Singapore Tianjin Eco-city. [ABSTRACT FROM AUTHOR]

China's carbon emissions from households have increased with the growth of the consumption scale. To accomplish the ambitious goals of reducing emissions, carbon emission reduction on the household side should not be neglected. Based on the 2012–2018 CFPS database, This paper examines the relationship between household carbon emissions(HCEs) and the digital economy by analyzing data on household consumption expenditure and carbon emission coefficients. Utilize instrumental variables and the "Broadband China" natural experiment to conduct robustness tests, and further clarify how the digital economy influences direct and indirect household carbon emissions. The study finds that (1) Direct HCEs witness an increase while indirect HCEs experience a decrease due to the digital economy. (2) The digital economy increases direct HCEs by expanding the consumption scale, but surprisingly, the digital economy has not made a significant impact on enhancing residents' environmental awareness. (3) When analyzing indirect HCEs, we introduced a macro perspective, and it is found that the digital economy results in a decline in indirect HCEs primarily due to a reduction in the energy intensity of the whole industry. This paper provides new evidence on the digital economy and its impact on carbon emissions at the household level, which is instructive for understanding the interaction between the production and consumption sides in achieving carbon neutrality and how to promote emission reduction on the consumption side. • Household carbon emissions are measured from direct and indirect perspectives. • The impact of digital economy on household carbon emissions is heterogeneous. • Digital economy increases household carbon emissions through consumption scale. • Digital economy has no significant impact on environmental awareness. • Digital economy reduces indirect household carbon emissions through energy intensity. [ABSTRACT FROM AUTHOR]

The report of the 20th National Congress of the Communist Party of China (CPC) proposes to accelerate the development of the digital economy and promote "carbon neutrality". In 2020, China announced a "double carbon" target. In 2022, the size of China's digital economy has reached 7.5 trillion dollars, ranking second in the world. Against this background, this paper takes 211 cities in China from 2011 to 2019 as the research object and tries to sort out the impact of the development of the digital economy on the carbon efficiency of cities in order to find an effective path for cities to realize low-carbon development. The results of the study show that the development of the digital economy significantly improves the carbon efficiency level of Chinese cities. After a series of endogeneity and robustness tests, the conclusion still holds. Public environmental concern and technological innovation are the key mediating paths. In addition, the digital economy has a significant non-linear effect on the carbon efficiency of Chinese cities. On the one hand, the low-carbon effect of the digital economy is only realized when the level of digital economy development is lower than the critical value of 0.040 and higher than the critical value of 0.085; on the other hand, the lower the level of urban carbon efficiency is, the greater the effect of the digital economy on urban carbon efficiency. Further research shows that the digital economy has a significant spatial spillover effect on the improvement of urban carbon efficiency, and the development of the digital economy not only helps to improve the carbon efficiency level of the local city but also positively influences the improvement of the carbon efficiency of neighboring cities through the spatial spillover effect. The heterogeneity study found that in eastern cities and megacities, the digital economy has a more obvious effect on the improvement of carbon efficiency. In the context of the booming digital economy, this paper tries to find an effective new path for urban low-carbon development by means of developing the digital economy. [ABSTRACT FROM AUTHOR]

[Display omitted] • Carbon reduction measures were summarized and evaluated. • The carbon removal capacity and cost of some carbon reduction methods were predicted. • The main CCUS projects in the world were collated and analyzed. • The principles of CCUS technology were reviewed in terms of progress, problems and prospects. Since the industrial revolution, the greenhouse effect has become more and more serious, causing great impacts on human beings and society. Many countries have formulated carbon neutrality and introduced a series of emission reduction measures. This paper summarizes and evaluates for the first time three universally appropriate carbon reduction measures: energy upgrading, biotechnology, and carbon capture, utilization and storage (CCUS) technology in conjunction with the policies of each country. The choice of carbon reduction methods depends on the economic situation and natural resources of each country. For example, the Middle East is more in need of energy upgrades, South America is focused on biotechnology, and Western Europe is currently more suited to CCUS technology. This paper also predicts the carbon reduction capacity and capital consumption of 10 carbon reduction methods based on International Energy Agency (IEA) data and the current development of emission reduction technologies. This can provide a reference for countries to choose appropriate carbon reduction methods. Meanwhile, this paper comprehensively reviews the principles of CCUS technology, including the current progress, problems, and prospects for application. The CCUS technology plays a significant role in promoting the transformation of the energy structure and responding to global climate change. Promoting the rapid development and wide application of CCUS technology requires the joint efforts of governments, enterprises and the public: government policy, enterprise investment and public support. This paper can provide references for countries to select appropriate carbon reduction methods and guidance for researchers to further improve the effect of CCUS. [ABSTRACT FROM AUTHOR]

• The center of gravity of China's EPC is located in Luoyang City, Henan Province. • During the study period, China's EPC in general exhibits an east-high and west-low trend. • During the period 2000–2019, there are significant regional differences in the strength of the spatial linkage of EPC in China. • In 2000–2019, the decoupling status of EPC in china is of two types of decoupling: weak decoupling and expansive coupling. Exploring the evolution of spatial and temporal patterns of electricity power consumption in China is of great significance and value for the promotion of Carbon Peaking and Carbon Neutrality Strategy and the scientific allocation of electricity resources. Therefore, this paper takes China as an example and innovatively applies nighttime light data from a combination of two remote sensing satellites. And using spatial analysis methods to analyze the evolution of spatial and temporal patterns of electricity power consumption over a longer study time series. Meanwhile, this paper also uses the Tapio decoupling model to study the decoupling effect of electricity power consumption and economic growth in China. The results of the study show that, during the period 2000–2019, China's electricity power consumption was in an unbalanced state, with the eastern coastal region dominating. It also formed a gradient distribution from the coastal area to the inland area. In terms of spatial connection, it shows an unbalanced distribution pattern of "low in the west and high in the east". In addition, the spatial linkage of electricity power consumption among provinces is more than 93 % of weak linkage, and gradually increases to 97 %, indicating that the spatial linkage of electricity power consumption among regions is gradually weakening. The decoupling state of electricity power consumption in China is characterized by two types of decoupling: Weak decoupling and Expansive coupling. The decoupling status has experienced a significant change from 84 % of provinces being Expansive coupling to 100 % of provinces being Weak decoupling. [ABSTRACT FROM AUTHOR]

Global environmental problems are worsening. Among various regulatory measures, market-oriented approaches are most favored by governments worldwide. Using provincial panel data from 2004 to 2020, a multi-period DID model was hereby constructed to empirically study the pollution reduction effects of the pilot policy for carbon emissions trading in China. Findings of this paper could be listed as follows: (1) The pilot policy has achieved notable reductions in waste gas and solid waste, although its effect on wastewater pollutants has been less pronounced; (2) Pollution reduction in the pilot regions can be achieved by optimizing the energy consumption structure; (3) Significant variations in pollution reduction effects are observed between the Northern and Southern pilot regions, with notably stronger policy effects in the north across various pollutants compared to the south. Overall, this paper offers pertinent policy recommendations to aid the Chinese government in enhancing its carbon market. [ABSTRACT FROM AUTHOR]

Integrated Energy Systems (IES) play a pivotal role in achieving carbon peak and carbon neutrality goals. However, previous research in IES operation has mainly focused on energy flow constraints, neglecting the impacts of renewable energy output, energy prices, carbon emission, and storage status. To bridge this gap, this paper proposes a Comprehensive Self-Adaptive (CSA) operation strategy as a key component of our two-tier synergistic optimization method, optimizing an IES integrated with Concentrated Photovoltaic/Thermal systems. In the upper-tier capacity configuration, the proposed method considers the full life-cycle carbon emissions of equipment. In the lower-tier operational strategy optimization, the CSA operation strategy automatically adjusts energy generation, utilization, and storage by comprehensively evaluating hourly operating costs, hourly carbon emissions, and hourly storage benefits. Compared to traditional operation strategies and other adaptive methods, the newly developed strategy consistently demonstrates superior performance. When contrasted with separate energy systems, IES operating under the CSA operation strategy markedly stands out, achieving a cost savings rate of 25.87 %, a CO2 reduction rate of 61.54 %, and an electricity matching ratio of 91.24 %. Additionally, the paper explores the performance of the CSA operation strategy across various regions, confirming its feasibility and generalizability under diverse load and irradiance conditions. • An integrated energy system combines CPV/T, ORC, and multi-dimensional energy storage solutions. • A CSA operation strategy holistically assesses costs, carbon emissions, and storage benefits during operation. • A two-tier synergistic optimization method simultaneously addresses capacity configuration and operational strategy. • Comparative studies in various regions to validate the feasibility and generalizability of the CSA strategy and CPV/T-IES. [ABSTRACT FROM AUTHOR]

Solar thermochemical cycling is a promising approach to utilizing solar energy to produce H 2 and CO, which can be further synthesized into liquid fuels via Fischer-Tropsch reactions, making storage and transportation easier. Despite the potential high theoretical efficiency, factors such as the high temperature and low oxygen partial pressure required for the reduction restrict the large-scale application of this technology. In the near-to-medium term, in order to accelerate the popularization and application of this technology, according to Le Chatelier's principle, the assisted reduction of methane can greatly reduce the demand for high-temperature materials and ultra-low oxygen partial pressure. However, the addition of methane will also bring additional challenges, such as carbon emissions and carbon deposition. Reducing the influence of factors such as material sintering and irreversible loss on system efficiency in the experiment will be essential for the development of this technology. This paper focuses on the methane-driven two-step thermochemical cycle hydrogen production process, summarizes its reaction mechanism, thermodynamic analysis, kinetic analysis, oxygen carrier material doping, and experimental research in detail, and comprehensively analyzes the effect of material properties and irreversible loss on the system. According to thermodynamic and kinetic analysis, rational selection and doping of metal oxygen carrier materials can effectively reduce the reaction temperature, improve gas production rates, and enhance structural stability. Analyzing and trying to reduce various irreversible losses of the system, such as reradiation energy loss, conduction energy loss, etc., and taking appropriate heat recovery measures will help to improve the system efficiency of the actual cycle. This paper would be valuable for the development of this technology and for achieving the goal of carbon neutrality. [Display omitted] • The process of methane-driven two-step thermochemical cycles is reviewed. • Searching for high-performance oxygen carriers through doping and modification. • Significantly reduce the temperature and oxygen partial pressure of the reaction. • Pros and cons between methane-driven and non-methane-driven cycles are compared. [ABSTRACT FROM AUTHOR]

• The novel preignition event (PEMC) was explored on HDI engines. • PEMC event occurred in the early/mid compression stroke and with the peak pressure at TDC. • PEMC events worsened NOx emissions, BP, and BTE in most cases. • Delaying injection timing beyond 180° CA BTDC could totally prevent PEMC events. • The established RF prediction model has excellent robustness and reliability. The potential use of hydrogen in automotive internal combustion engines could aid in the energy transition and contribute to achieving carbon neutrality. This paper has investigated the impact of operating parameters boundary for a novel preignition event on a 2.0L hydrogen direct injection (HDI) engine to address the challenge of abnormal combustion limiting the application of HDI engines. The identified characteristics of the event and its potential harm to the engine has been summarized. Experiments have shown that the novel preignition event predominantly occurred mainly during 170−80°CA BTDC, hence the name PEMC (preignition in the early/mid compression stroke) event, and caused a surge in cylinder pressure. In 77.2 % of the selected cases, the PEMC events resulted in increased NOx emissions. In 93.1 % and 91.5 % of the cases, there was a decrease in brake power and brake thermal efficiency, respectively. Unlike the low speed, high load preignition of gasoline engines, PEMC events were more likely to occur in the torque range of 70–100 Nm and could be monitored in a lean mixture environment with λ = 1.5–3.3. PEMC events were found in the interval of 180−320° CA BTDC at injection timing and were most intense at 240−250° CA BTDC. To prevent PEMC events completely, it is recommended to delay the injection timing beyond 180° CA BTDC. The paper has employed a model based on experimental data and Random Forest algorithms to predict PEMC events. The model demonstrated an accuracy of 98.76 % and 97.69 % for the training and test data, respectively. It has been effective in predicting the occurrence of PEMC events under various operating conditions. The paper has offered an alternative solution for the novel preignition in HDI engines. [ABSTRACT FROM AUTHOR]

In an urbanized world, the challenges posed by climate change need to be met through innovative planning for cities and regions. Urban resilience demands that cities adopt new models centered on carbon neutrality, ecosystem services and biodiversity enhancement, circularity, and social inclusion. In light of the multiple interdependencies of metropolitan systems and the natural and territorial potentialities present on their fringes, this paper discusses the metropolitan fringes as strategic for urban resilience and sustainable transitions. By combining a mixed-method analysis of adaptation and urban plans with semi-structured interviews performed with key technicians, the analysis is focused on an inter-municipal fringe zone within the Barcelona Metropolitan Area - the Besòs territory. Aiming to contribute to the discussions related to Territorial innovation for cities and regions, the paper offers a multi-scale perspective and illustrates innovative urban transformation strategies across scales. The results highlight that governance and multiple planning and participation instances together with technical and financial support are essential for consensus building in an incremental process. Furthermore, the planning strategies of the case study sought to integrate and enhance the green and blue infrastructures and transform consolidated urban areas with a focus on energy transition, sustainable mobility, circularity, and social inclusion. In conclusion, it is argued that resilience has a multi-scalar perspective within the metropolitan context and should be integrated with planning policies at different scales from a coordinated vision. Although adaptation and urban projects have a critical local element, a broader and more strategic vision is necessary, especially in metropolitan fringe areas. • Although adaptation and resilience have an essential local element, a broader and more strategic vision is necessary. • Metropolitan planning and governance towards urban resilience must have a multi-scalar perspective. • Metropolitan fringes are key to urban resilience and sustainable transitions due to their environmental and urban attributes. • A coordinated metropolitan vision with technical and financial support is vital for sustainable urban transitions in fringe areas. • The intermediate scale is critical since it represents a bridge between supra-municipal instances and municipalities. [ABSTRACT FROM AUTHOR]

By purchasing emission reduction equipment or reducing production scale, it is possible to effectively decrease CO 2. Therefore, understanding the marginal abatement cost (MAC) associated with these methods is crucial for making decisions. However, previous studies using the directional distance function (DDF) approach often mis-specified production functions and neglected data noise. They also assumed decision-making units (DMUs) to be on the production frontier and used proportional changes in inputs and outputs as abatement paths. This paper addresses these limitations by developing the convex quantile non-radial directional distance function (CQR-NDDF) method, which estimates the MAC of CO 2 and determines optimal abatement paths for DMUs without assuming a specific production function, employing linear programming techniques. Applying this method to 30 provinces in mainland China from 2011 to 2019, the study finds that China's CO 2 MAC increased from 182 to 247 yuan/ton. The lowest-cost abatement path varies by province and time. The club convergence and ordered probit model are employed to conclude that the second industry and urbanization increase the MAC of CO 2 , while factors such as foreign direct investment, openness level, and human capital decrease the MAC. Moreover, the CQR-NDDF method yields significantly lower MAC estimates than the NDDF method. In conclusion, this paper provides new insights into China's CO 2 MAC, emphasizing the importance of considering inefficiency and data noise in MAC estimation. We anticipate that utilizing CO 2 MAC as a benchmark for carbon trading market prices could lead to an increase in prices within China's carbon trading market. • A novel method for estimating CO 2 MAC has been developed. • Ignoring inefficiency will result in an overestimation of CO 2 MAC. • Three different emission reduction pathways are considered in the estimation. • The heterogeneity of the lowest cost abatement pathways has been identified. [ABSTRACT FROM AUTHOR]

With the growing global energy demand and limited production of conventional crude oil, the extraction of unconventional heavy and extra-heavy oil is receiving unprecedented attention. China is the fourth largest producer of heavy oil. High viscosity and complex formation environments increase the difficulty of exploiting heavy oil. To alleviate the economic cost and environmental pollution pressure brought by heavy oil production, China has achieved significant advancement in the innovation of heavy oil recovery, including accelerating the transformation of thermal technology to non-thermal technology and the use of new energy technology to achieve the goal of low-carbon economy and green environmental protection. Based on the background of heavy oil in China, this paper recharacterizes the high-viscosity mechanism of heavy oil. From different aspects, including basic principles, main characteristics, applicability, limitations, and challenges, this paper comprehensively reviews existing heavy oil recovery technologies, including thermal recovery, in-situ upgrading, cold recovery, and new energy technologies. Currently, in China, the main target of heavy oil recovery is achieving the "carbon peaking and carbon neutrality" goals, which can be described as low energy consumption, low emission, and low pollution. To facilitate the low-carbon transition in the extraction of heavy/extra-heavy oil and attain environmental sustainability goals, it is essential to increase the proportion of non-thermal factors in thermal recovery technologies, develop efficient in-situ catalysts, adopt clean cold extraction techniques, and advance the development of new energy technologies. [ABSTRACT FROM AUTHOR]

Compared to cast-in-situ construction, prefabricated construction reduces the generation of construction waste; however, construction waste cannot be entirely eliminated through prefabrication and can be generated at each stage of its life cycle. This paper generates a system dynamics model, comprising two causal-loop diagrams and one stock-flow diagram, to simulate the effectiveness of policies on decarbonizing prefabricated concrete building waste. The model can predict the annual and total construction waste, along with the associated carbon emissions, under different policy scenarios in China by 2030. This paper focuses on prefabricated concrete buildings in China, with specific attention to the wastage of concrete, bricks, mortar, and metal. In single-factor scenario simulations, increasing landfilling fee is the most effective policy for waste decarbonization, potentially reducing carbon emissions by 31%. Increasing prefabrication rate and enhancing regulation degree at the design phase of prefabrication can directly reduce prefabricated building waste generation, subsequently resulting in an 18% and 7% carbon emissions reduction. Multi-factor scenario simulations demonstrate that the simultaneous application of all four policies is most effective, achieving a 44% reduction in carbon emissions. This research establishes a theoretical framework for prefabricated concrete building waste management and provides the Chinese government with practical insights on optimizing policies for waste decarbonization in the dynamic landscape of prefabrication. • This paper develops the prefabricated building waste generation and disposal systems. • The model predicts the construction waste and associated carbon emissions by 2030. • Raising landfill fee is an effective policy for decarbonizing construction waste by 31.06%. • Prefabrication rate reaching 100% can reduce 18.04% of carbon emissions from waste. • Applying all policies is most effective, achieving a 44.34% carbon emissions reduction. [ABSTRACT FROM AUTHOR]

Blue carbon, a concept that emerged in the last decade, has received increasing attention in recent years. The development of blue carbon as a nature-based solution is crucial to global climate governance, biodiversity conservation, and restoration of fishery resources. This study utilized CiteSpace visualization software to conduct bibliometric and systematic analyses of 3474 papers retrieved from the Web of Science Core Collection in 2003–2022, depicting a comprehensive framework of international research on blue carbon, exploring hotspots and trends, and proposing future directions and implications for ocean and coastal management. Overall, blue carbon research has experienced the early exploration period (2003–2007) based on scientific concepts, the development period (2008–2015) of research on carbon sequestration mechanisms and functions of different organisms and ecosystems, and the outbreak period (2016–2022) of carbon sink system quantification and management based on model prediction. Co-authorship analysis indicated that blue carbon research collaborates well across intuitions and countries, while collaboration among authors needs to be strengthened. Thematic evolution and hotspot analysis based on cited references and keywords revealed that coastal wetlands, especially mangroves, are a popular research theme, and the functional protection and development of management strategies for coastal ecosystems are major current research hotspots. In addition, it emphasized the need to focus on the protection, restoration and creation of blue carbon ecosystems (BCEs), develop sustainable marine ranching to promote blue carbon trading, explore more potential emerging blue carbon, and strengthen the management of blue carbon from the social level in the future. This paper combines traditional bibliometric review with modern visual analysis software to carry out network metrics, clustering and visualization of the blue carbon thematic literature from multiple perspectives, which reflects its novelty. It provides the latest, in-depth and comprehensive insights into blue carbon research that will serve as valuable reference for relevant scholars, managers and governments. [Display omitted] • Blue carbon field has experienced exploration, development and outbreak periods. • Blue carbon research is well-collaborated across institutions and countries. • Coastal wetlands, especially mangroves, have been a popular central research area. • Protection and management of coastal ecosystems are new hotspots in research. • Propose ocean and coastal management implications for realizing the potential of blue carbon. [ABSTRACT FROM AUTHOR]

Many nations have pledged to reach carbon neutrality by 2050. Embarking on the decarbonization journey, they posited geological carbon storage (GCS) as a pivotal technology within the carbon capture, utilization, and storage (CCUS) framework. The CCUS chain operates to reduce "hard-to-abate" emissions at key sectors by capturing carbon dioxide (CO 2), reusing it, transporting it, or disposing of it via injection into underground geological formations for permanent storage. Despite the global success of GCS ventures, mainly driven by the oil and gas industry, GCS initiatives are still in their early stages in several developing countries. In Brazil, for instance, a full setup covering precise storage capacity databases, potential CCUS clusters, national regulatory structure, and auxiliary computer-aided engineering is underway. Intended to push the frontier in the latter subject, this paper introduces mathematical models for qualifying underground CO 2 storage sites. Our research explores a family of multivariate functionals endowed with underlying reservoir features and distinct weighting functions, thus envisioning two primary objectives. Firstly, it clarifies non-linear interactions between rock and fluid properties using quality indicators. Secondly, it evaluates geographical regions considering structural traps/caprocks settings. Backed by the Matlab Reservoir Simulation Toolbox (MRST) capabilities, the methodology is a subsidiary resource for identifying suitable injection and storage sites. A case study using the UNISIM-I-D model generated dozens of volumetric quality maps that point to unique potential storage sites. Numerical simulation experiments of injection comparing legacy and novel wells reveal storage surpluses improved by up to 50%. The paper seeks to establish foundational knowledge in GCS efficiency for general underground settings. One expects that these outcomes leverage well-repurposing perspectives and stimulate field appraisal actions to scale up GCS projects both in Brazil and worldwide. • Introduction of a family of mathematical functionals for site qualification. • Trap analysis and supercritical gas injection over a Brazilian offshore reservoir model. • Comparison of storage surplus in theoretically-proposed and legacy well locations. [ABSTRACT FROM AUTHOR]

The core of the energy transformation under the carbon-neutral vision is the gradual replacement of high-carbon energy by zero-carbon and low-carbon energy. However, the large-scale deployment of clean energy technology in turn relies on key minerals such as copper, aluminum, zinc, and nickel. Based on this, this paper conducts research on the demand for key minerals in clean energy transition and the role of key minerals in clean energy transition. In particular, this paper calculated the demand for mineral supply for China's carbon neutrality target, and the impact of some mineral resource constraints on the carbon neutrality path. Relevant results can provide a decision-making basis for the future development and utilization of key mineral resources, as well as the implementation of future carbon-neutral goals. • We evaluate the impact of crucial mineral resource on the carbon neutrality path. • Copper's availability greatly affects the adoption of new energy technologies. • Limited resources hinder early carbon capture and storage development. • Negative emission technologies are necessary for China's carbon neutrality. [ABSTRACT FROM AUTHOR]

With the high proportion of renewable energy connected to the grid, the problem of insufficient flexibility in the power system has emerged. Renewable energy and controllable distributed resources can be aggregated and managed through virtual power plants, reducing the need for flexibility to a certain extent. Although building new energy storage systems can compensate for the lack of flexibility, it requires high initial investment costs. To address this, this paper proposes a lease mechanism for coal-fired units based on the combination of carbon credits and prices, providing the right to use coal-fired units for virtual power plants. Subsequently, different demand response strategies are utilized to control the controllable loads of various users, thereby providing certain controllable resources for the virtual power plant. Additionally, to ensure the optimal decision-making of the virtual power plant operator, a cost model accurately describing the capacity degradation state of the energy storage system is adopted. Moreover, a multi-time scale scheduling strategy of virtual power plant is implemented to fully utilize controllable resources of different time scales, effectively dealing with the power imbalance caused by multiple uncertainties. The results show that utilizing the leasing mechanism of coal-fired units and employing demand response strategies from different users can provide flexibility to the virtual power plant. The accuracy of the capacity degradation model used by the operator significantly impacts the optimality of the scheduling plan. • The scheduling model of VPP consider capacity degradation of ESSs, carbon trading, and DR strategies. • A lease mechanism for coal-fired units based on the combination of carbon credits and prices is proposed. • This paper proposes ISBDR strategies for reduceable loads. • The ESSs capacity degradation model adopted takes into account DOD and SOC. • A multi-time scale scheduling strategy of VPP is adopted to deal with multiple uncertainties. [ABSTRACT FROM AUTHOR]

[Display omitted] • This paper proposes the concept of room-temperature solar-powered CH 4 reforming. • The non-metallic element (Br, N and S) doped TiO 2 is prepared. • The doped catalysts X-TiO 2 were used in photocatalytic methane reforming. • The structure–activity relationship was studied by density functional theory. • Based on isotope tracer results, a possible photocatalytic mechanism was proposed. • The catalytic performance of S-TiO 2 is 22–65 times that of bulk TiO 2 catalyst. • The possible catalytic mechanism was verified by in situ infrared characterization. Given the increasingly severe climate and energy crises, this paper proposes the concept of "room-temperature solar-powered CH 4 reforming", intended to achieve carbon emission reduction and efficiently use carbon-containing resources. However, traditional semiconductors as catalysts have some problems, such as few catalytic active sites and fast recombination of photogenerated electrons and holes, resulting in low efficiency of photocatalytic CH 4 reforming. For this reason, a series of doped catalysts X-TiO 2 (X = Br, N, and S) are prepared by introducing nonmetallic elements into the TiO 2 lattice to construct oxygen defects. Notably, the CO yield of the S-TiO 2 catalyst was 1048 μ mol g−1, 65 times higher than the catalytic performance of bulk TiO 2. Based on the functional density theory (DFT) calculation, the interaction between the S active site and the performance of photocatalytic CH 4 reforming with oxygen defects is discussed in detail. The synergistic effect of the S site and the oxygen defect has been shown to rapidly activate C = O and C-H bonds at room temperature. Finally, based on the tracer experiment and DFT calculation, a possible mechanism of photocatalytic CH 4 reforming at room temperature is proposed. This work provides a new research direction for achieving carbon neutrality at room temperature and a feasible technical scheme for the large-scale application of photocatalysts. [ABSTRACT FROM AUTHOR]

Biomass direct-fired power plant integrated with carbon capture system can achieve negative CO 2 emission during the power generation, which provides an important technology pathway for the transformation of energy system towards carbon neutrality. Understanding the economic competitiveness and CO 2 reduction potential of the plant, and identifying the optimal operating mode are the key to fully exert the advantages of the technology. For this reason, this paper develops life cycle economic and CO 2 emission assessment models for the biomass direct-fired circulating fluidized bed boiler power plant (BCFBP) integrated with solvent-based post-combustion carbon capture (PCC) system. The levelized cost and CO 2 emission of energy indexes are then applied to evaluate the performance of the BCFBP-PCC system. Based on the life cycle assessment, a novel economy and CO 2 reduction dual-objective operating optimization approach is proposed for the BCFBP-PCC to find the optimal hourly power generation and CO 2 capture level of the plant under given market conditions. The static investment payback period is employed as a constraint in the optimization to narrow down the range of the solution set and provide clearer guidance for system operation. This paper provides the first work pioneered the economic and negative carbon operation optimization of the BCFBP-PCC system. [ABSTRACT FROM AUTHOR]

To attain China's target of carbon neutrality by 2060, the implementation of the Energy Consumption Trading (ECT) system serves as an effective approach to improve energy efficiency and mitigate CO 2 emissions. Nevertheless, it is crucial to consider not only the importance of carbon reduction effect caused by ECT system but also the associated cost. Therefore, this paper applies the spatial difference-in-differences (SDID) model to assess the direct and spillover impacts of the ECT policy on the carbon abatement cost, which is measured by shadow price of CO 2 emissions and calculated using SBM-DEA model. Panel data encompassing 279 Chinese cities from 2010 to 2019 are employed for analysis, with additional insights provided through heterogeneity and mechanism analyses. The results show that ECT policy increases the local carbon abatement cost in pilot cities but decreases the cost of surrounding cities. Meanwhile, such a declination effect in neighboring cities with a spatial attenuation boundary of 1000 km. The heterogeneity analysis suggests that the implementation of ECT policy leads to an increase in the carbon abatement cost in cities located in non-Eastern Coastal regions, cities with abundant natural resources and cities with small populations. The mechanism analysis indicates that the ECT policy implementation facilitates the improvement of green technology in the neighboring cities of the pilot project, consequently lowering the carbon abatement cost. Besides, this policy also results in a decrease in the carbon intensity of the pilot cities. Owing to the U-shaped association between carbon intensity and the carbon abatement cost, the policy implementation stimulates an increase in the cost within the pilot cities. • This paper estimates the carbon abatement cost (MAC) using SBM-DEA method. • The SDID model is used to investigate the impacts of ECT policy on carbon MAC. • We test whether green technology and carbon intensity are mediating variables. • ECT policy increases the carbon MAC in pilot cities through carbon intensity. • ECT policy lowers the carbon MAC of adjacent cities through the green technology. [ABSTRACT FROM AUTHOR]

Given that the global fleet of electric vehicles is expanding rapidly, leading to a surge in demand for power batteries, the significance of battery recycling has come sharply into focus. In this paper, we develop a tripartite evolutionary game model coupled with a system dynamics simulation approach to analyze the behavioral mechanisms of stakeholders in electric vehicle battery recycling and to identify the key factors influencing their strategic transformations. The model involves three key stakeholders: local governments, battery cathode manufacturers, and battery pack manufacturers. Through profit analysis and the formulation of a replicator dynamics system, coupled with the application of Vensim for system dynamics modeling, we analyze the effects of ten crucial exogenous variables on stakeholder strategies. Our research highlights the crucial role of government actions, such as subsidies and penalties, in directing corporate strategies. Notably, excessively high subsidies (over 2.1 million Chinese Yuan) lead to dependency among cathode manufacturers. Market factors, including increased battery sales and the preference for low-carbon procurement by electric vehicle manufacturers, are shown to significantly motivate cathode manufacturers to adopt recycling strategies and encourage pack manufacturers to develop recyclable designs. Additionally, the introduction of EU battery regulations and the integration of cathode manufacturers into carbon trading schemes have been identified as positive catalysts for strategic shifts, especially for cathode manufacturers, while exerting minimal influence on pack manufacturers. This paper elucidates the intricate interaction of the behavioral patterns and key motivators affecting stakeholder strategies in electric vehicle battery recycling. [Display omitted] • An evolutionary game model involving local governments, cathode manufacturers, and pack manufacturers is established. • EU battery regulations' impact on the system's evolutionary path is quantified by the sales influence coefficient. • Subsidies over 2.1 million Chinese Yuan lead to path dependency among cathode manufacturers. • When battery sales fall to 4.5 GWh, manufacturers shift from recycling-consistent strategies to opposing strategies. [ABSTRACT FROM AUTHOR]

A good risk warning model is an effective way to guarantee the stable operation of the carbon market and exert its emission reduction function. This paper takes the China's pilot carbon market as the research object and measures the carbon market risk by ARMA-GARCH-VaR. Then, influential factors are selected as non-market characteristics from the perspective of causality and incorporated into the risk warning model, and SMOTE and SMOTEENN are introduced to deal with the unbalanced samples. Results show that (1) The risk fluctuations of Beijing and Shenzhen carbon market are large, and the risk fluctuations of Guangdong carbon market are relatively smooth in the early period and larger in the recent period. (2) Air quality, average daily temperature, CSI 300, power coal, natural gas, European carbon market, exchange rate, and Baidu index are all important factors in the risk volatility of carbon market. (3) The Classification Decision Tree (CDT) has the best performance. CDT has the best performance in Guangdong carbon market, SMOTE-CDT has the best performance in Hubei carbon market, and SMOTEENN-CDT has the best performance in Shanghai carbon market, in which SMOTEENN-CDT has a 76% Recall. The non-equilibrium treatment improves the overall Recall, and the risk warning model after non-equilibrium treatment can avoid missing important risk points. This paper can provide a certain degree of reference for the improvement of carbon trading market and risk management. [Display omitted] • A carbon market warning model is constructed. • The average VaR of the carbon trading markets in Shenzhen and Beijing is larger. • CDT performs better in market risk warning. • The model improves 34.8% in the avoidance of risk compared with other models. [ABSTRACT FROM AUTHOR]

[Display omitted] • Measure carbon emission inequalities (CEIs) of urban agglomerations under rapid urbanization. • Identify the key factors determining CEIs within the three urban agglomerations. • Account for the differences between adjacent or distant urban agglomerations. • The declining CEI is mainly due to changes in industrial structure and economic development. • CEI in the upper reaches of the YREB increases due to the changes in energy intensity. Increasing countries are articulating ambitious goals of carbon neutrality. However, large inequalities in regional emissions within a country may hinder progress toward a carbon–neutral future, as the unequal distribution of reduction responsibilities among regions could impair just transition and exacerbate uneven development, which necessitates an in-depth understanding of the mechanism of multi-scale carbon inequalities within country, region, and city. Yet, the evolution of carbon inequalities within urban agglomerations and the differences between adjacent or distant urban agglomerations have not been well understood, especially in countries undergoing rapid urbanization. Using the data of 89 cities in China's Yangtze River Economic Belt (YREB) during 2006–2021, this paper quantifies carbon emissions inequality (CEI) at different scales in a systematic regional-urban agglomeration-city hierarchical structure. Then, under the integrated mean logarithmic deviation-logarithmic mean Divisia index (MLD-LMDI) decomposition framework, multi-scale CEIs are perfectly decomposed into six interrelated drivers, i.e., industrial emission structure, energy emission intensity, industrial energy mix, energy intensity, industrial structure, and economic development. The results show that economic development, energy intensity, and industrial energy mix disparities are the main determinants accounting for CEIs at different scales. The decreasing CEI in YREB is mainly due to the changes in industrial structure and economic development, while the energy intensity effect partially hinders the mitigation of CEI. In the upper reaches of the YREB, the energy intensity effect accounts for over 94% growth of CEI during 2006–2021, while the decline in CEIs in middle and lower reaches is primarily caused by the effects of industrial energy mix and industrial structure, respectively. Further spatial decomposition analysis reveals more refined city-level heterogeneous effects and emphasizes the prioritized emission reduction direction for each city. This paper offers implications for reducing carbon inequality and insights into coordinated carbon emissions mitigation at the regional level for a carbon–neutral future. [ABSTRACT FROM AUTHOR]

Organizations often use agri-environmental policies and program to promote Best Management Practice (BMPs) adoption, which are meant to mitigate on-farm environmental risks. However, producer preferences for programs and collaborative organizations are often overlooked during the process of policy implementation. Producers are likely to feel more inclined to accept information from, and otherwise engage with, some organizations over others. Overlooking such preferences may have led to inefficient policies that did not engage the intended audience, resulting in minimal BMP uptake. The goal of this paper is to investigate the preferences of Canadian producers for climate-mitigative policy options and partner organizations that impact or encourage BMP adoption, two variables deemed critical to on-farm BMP adoption decisions. We use a survey-based method for assessing individuals' priorities in the form of most and least preferred choices from a set of available options. Our analysis reveals that producers prefer financial support, while certification, extension, carbon offsets and carbon taxation are all significantly less likely to be chosen as the most preferred climate policy. As for organizations producers prefer to work with, the provincial government and county or municipal governments are their first-choice collaborative organizations when it comes to climate-mitigation in agriculture. In contrast, producers in Alberta are more likely to choose environmental NGOs as their least preferred organization. The results also show these preferences are altered when interacted with producer characteristics. Beliefs about climate change significantly alter their policy preferences: those who believe in human-caused (anthropogenic) climate change are more likely to support several climate-mitigative policies, with the notable exception of a tax on carbon and carbon offsets. We also find farm typology and being an avid adopter of BMPs alters producers' policy preferences, but not organization preferences. Given the challenges to changing producers' on-farm decision making, the results of this paper can help guide those who develop and implement climate-mitigative policies and programs by providing an overview of preferred policies that are more likely to be accepted by agricultural producers. This includes helping tailor policy approaches in collaboration with trusted partners and understanding what factors, such as farm typology and climate change beliefs, may influence the acceptance of these climate-mitigative policies. [Display omitted] • Farmers' policy and organization preferences shape adoption of proven climate-mitigative BMPs. • Male and strongly conservative farmers unanimously oppose carbon taxation. • Farmers hold differing views of organizations in the agri-environmental space. Messenger effects matter. • Farmer are largely unwilling to work with environmental organizations on climate BMP adoption. • Farmers stated climate beliefs significantly affect their policy preferences, except for carbon taxation. [ABSTRACT FROM AUTHOR]

Emissions trading has been playing a very important role in addressing pollution of estuarine and coastal waters. This paper aims to explain mechanism of the multi-agent collaborative management of coastal pollution from land-based sources from the perspective of emissions trading and identify its influencing factors. Given the current participation of polluting enterprises in emissions trading, this paper constructs a tripartite evolutionary game model consisting of local governments, polluting enterprises, and the public. Drawing on this model and the ABM (agent-based modeling) for simulation and using artificial neural networks for error corrections, the numerical simulation of the data of Dongying, a pilot city of emissions trading is conducted, to examine the influence of different factors on the evolutionarily stable strategy. The results show that: ➀ increasing each agent's initial willingness of participating in collaborative management can facilitate the evolution of their behavioral strategies towards collaborative management. Specifically, compared with the public, polluter's stronger willingness for emission reduction and the government's more proactive willingness for regulation can better promote collaborative management in land-based pollution; ➁ the increase in the reward standard for emissions cutters has a positive impact on enterprises and the public's proactive participation in collaborative management, yet a negative impact on local governments; ➂ higher reward from the provincial government and the increase in the emissions trading price have a positive impact on the enthusiasm of local governments, enterprises and the public in collaborative management; ➃ the increase in the unit cost of emission reduction will undermine polluting enterprises' enthusiasm in emission reduction. Policy suggestions are thus proposed, such as increasing the subsidies for emission reduction, promoting and perfecting the emission trading market, cutting the emission reduction cost of enterprises and the supervision cost of local governments, and increasing the public's concern on the governance of marine pollution from land-based sources. The conclusion will provide a theoretical underpinning for and guide related practice of future preservation of coastal ecologies and management of coastal pollution from land-based sources. [ABSTRACT FROM AUTHOR]

Agricultural production has dual functions as a carbon emitter and sink, and fully exploiting the carbon sink function of agriculture is highly valuable for ensuring carbon neutrality. The layout of net carbon in agriculture shows an imbalance, i.e., underscaling in areas with a net carbon advantage or overscaling in areas with a net carbon disadvantage, which restricts the fulfillment of agricultural carbon sinks. Clarifying the global pattern of net carbon imbalances in agriculture and their drivers is highly important for improving the overall net carbon. In this regard, this paper focuses on the global net carbon in agriculture in 155 countries and regions, and a spatial mismatch index of net carbon in agriculture (MNCA) is constructed based on the relative difference between net carbon and cultivated land. Spatial autocorrelation analysis and the standard deviation ellipse are used to reflect its spatiotemporal evolution pattern. In addition, through geographically weighted regression, we explored the effects of agricultural structure, agricultural economic development, the scale of labor and cultivated land and organized the mismatches into carbon and area effects. The results show that (1) global agricultural production represents net carbon emissions, while developing countries represent net carbon sinks, and there is a mismatch of net agricultural carbon in most regions; (2) the MNCA is characterized by low-low clustering in North America, Asia and Europe, with its center of gravity falling in western Africa and migrating northeastward; and (3) the main factors influencing the MNCA are the agricultural structure and economic level. Underscaling in areas with a net carbon advantage is a major problem. To increase the global agricultural carbon sink capacity, we suggest that North America, South Asia and other regions strictly implement agricultural emission reduction policies and that Central America, South America and Africa tentatively upgrade agricultural technology and their economies to alleviate farmland pressure through transnational cooperation. In this paper, the global net carbon imbalance in agriculture is identified and the overall implementation path of increasing carbon sinks is explored to provide a reference for achieving carbon neutrality. This study reports a global mismatch in net carbon in agriculture and identifies the wasted carbon sink advantage of developing countries as the root problem. • It is a new indicator to measure the efficiency of net carbon allocation in the agricultural production process. • Agricultural production in developing countries shows a net carbon sink advantage. • Under-scaling of net carbon advantage is major problem. [ABSTRACT FROM AUTHOR]

The carbon neutrality agenda requires that carbon lock-in enters an endgame. A well-developed energy system, which is secure, equitable, and sustainable is paramount to getting rid of carbon lock-in and realizing decarbonization. We carry out systematic research to empirically study the possible carbon lock-in reduction effect of energy trilemma based on the instrumental variable-generalized method of moment (IV-GMM) model. We also detect heterogeneous effects in terms of geographical locations and endowments of capital, as well as the impact mechanisms. Moreover, this paper highlights the mediating and threshold role of environmental regulation. We thus get the following conclusions. (1) The paper's primary findings underscore that the continuous increase of energy trilemma exacerbates carbon lock-in and hampers the process of decarbonization; (2) Energy trilemma has a higher stimulating effect on carbon lock-in in provinces that lie in the central region and that have a comparatively low level of physical, social, and human capital; (3) Energy trilemma can also indirectly aggravate carbon lock-in by inhibiting technology innovation and exacerbating carbon emissions intensity; (4) The interaction of environmental regulation and energy trilemma can alleviate the energy trilemma - carbon lock-in nexus, and environmental regulation also shows a significant threshold effect. • We investigate the impact of the energy trilemma on carbon lock-in. • Energy trilemma eradication is an effective way to realize the carbon lock-in endgame. • The nexus between energy trilemma and carbon lock-in is more prominent in provinces with high capital endowments. • Environmental regulation shows significant mediating and threshold effects. • The exacerbate carbon lock-in effect of energy trilemma depends on technology and intensity effect. [ABSTRACT FROM AUTHOR]

With the increasing demand of users for distributed energy storage (ES) resources and the emerging development of peer to peer (P2P) transaction technology, shared energy storage (SES) has great potential to contribute into new business models of demand-side ES. In order to compromise essential elements like safety, stability and efficiency of P2P trading, as well as to improve the utilization rate of demand-side ES, this paper devotes to construct a P2P transaction framework based on a partially decentralized topology and proposes a two-stage trading optimization strategy of SES in a P2P market, considering the equilibrium state of supply and demand flow. In the first stage, this paper simultaneously balances the interests of buyers and sellers and brings the carbon trading mechanism into the transaction process. The interaction of interests of bilateral parties with consideration of carbon trading mechanism has been investigated, and a SES capacity sharing model is, then, established based on the bargaining game theory. In the second stage, a unique pricing mechanism for SES leasing fee is designed based on a multi-strategy evolutionary game model, considering bounded rational decision-making for SES operators and communities. Finally, numerical simulation verified the feasibility and superiority of the proposed P2P trading strategy of SES. [ABSTRACT FROM AUTHOR]

The exploitation of fossil fuels in various sectors, such as power and heat generation, and the transportation sector has been the primary source of greenhouse gas (GHG) emissions, which are the main contributors to global warming. Qatar's oil and gas sector notably contributes to CO 2 emissions, accounting for half of the total emissions. Globally, it is essential to transition into cleaner fossil fuel production to achieve carbon neutrality on a global scale. In this paper, we focus on clean hydrogen, considering carbon capture to make hydrogen a viable low carbon energy alternative for the transition to clean energy. This paper systematically reviews emerging technologies in carbon capture and conversion (CCC). First, the road map stated by the Intergovernmental Panel on Climate Change (IPCC) to reach carbon neutrality is discussed along with pathways to decarbonize the energy sector in Qatar. Next, emerging CO 2 removal technologies, including physical absorption using ionic liquids, chemical looping, and cryogenics, are explored and analyzed regarding their advancement and limitations, CO 2 purity, scalability, and prospects. The advantages, limitations, and efficiency of the CO 2 conversion technology to value-added products are grouped into chemical (plasma catalysis, electrochemical, and photochemical) and biological (photosynthetic and non-photosynthetic). The paper concludes by analyzing pathways to decarbonize the energy sector in Qatar via coupling CCC technologies for low-carbon hydrogen, highlighting the challenges and research gaps. [ABSTRACT FROM AUTHOR]

Energy development in industrial parks promotes both industrial and inter-park economies. However, as the number of industrial parks increases and the economic level of the parks rises, energy consumption is also increasing rapidly. The rapid expansion of inter-park trading markets is accompanied by a surge in carbon emissions, making industrial parks increasingly significant contributors to carbon emissions within the industrial sector. In response to this environmental challenge, this paper proposes an integrated trading approach within industrial parks that considers carbon constraints. By implementing a spot trading method for surplus industrial energy, the goal is to mitigate the carbon emission pressure within these parks. Firstly, the paper conducts an analysis of the characteristics of combined heat and power units in industrial parks. It introduces an integrated analysis method within the target region, consolidating information from various park units to enhance flexibility in energy utilization. Secondly, an energy storage model is established. This model efficiently leverages energy storage capacity to balance fluctuations in energy supply and demand within industrial parks, thereby alleviating carbon emission pressure. Finally, the study and analysis of an industrial park in Liaoning Province were conducted using the Yalmip + Gurobi commercial software on the MATLAB platform. Compared with the traditional industrial park, the carbon dioxide emission of the industrial park is reduced by 91.49t, and the energy cost is saved by 11.2 million RMB. Numerical results from instances indicate that this method surpasses traditional trading approaches, aligning with the rigorous standards of scientific research. • An energy storage model is proposed to address the shortage of energy storage in waste heat trading in industrial parks. • A coordinated scheduling program is presented to reduce energy scheduling imbalances between multiple campuses. • The carbon-constrained energy storage device is integrated to improve the decarbonization capacity. [ABSTRACT FROM AUTHOR]

• Low carbon fuels can reduce carbon emissions depending on their source. • Transportation needs multifaceted solutions, including low carbon fuels. • Blending fuels and additives improve the final characteristics of the fuel. • Hardware compatibility is a key point for the application of low carbon fuels. The increased energy demand of the modern society has striven researchers to explore various alternatives to generate power without worsening the greenhouse gas (GHG) emissions. In the road transport sector, this has led to a progressive change towards the preference for the electrification of powertrains in replacement of the internal combustion engine (ICE). Nonetheless, providing options to reduce the GHG coming from ICEs in the short- and medium-term will still be fundamental in fulfilling the global emission targets while the phasing-out of the combustion vehicle takes place or in places where the change to electric powertrains could represent a potential risk in the energy supply. Low carbon fuels (LCF) can serve as such alternative if carbon neutrality or carbon offsetting is achieved. In addition, these fuels could serve as intermediate energy storage for renewable energy sources during instances of low demand and high generation, where they can later be utilized to generate electricity for any application or electric vehicles. The current review paper will provide an overview of the advantages, drawbacks, and energy potential for LCF in the framework of the light-duty compression ignition engine for road transportation. The paper highlights how LCFs, biofuels and synthetic fuels, require sustainable production adhering to regulations to avoid harm to biodiversity and ensure GHG reductions. In addition it is discussed how LCFs can offer advantages in fuel consumption and emissions reduction, contingent on fuel characteristics and combustion processes, which might affect hardware performance and scalability depending on the type of fuel. [ABSTRACT FROM AUTHOR]

Carbon lock-in has become a major obstacle to green development in all countries, and carbon unlocking (CUL) is of great significance in accelerating the process of carbon neutrality worldwide. Based on the panel data of 292 prefecture-level cities in China from 2006 to 2020, this paper constructs a PSM-DID model based on machine learning to empirically test the impact of LCCP policy on urban CUL. The regression result shows that the low carbon city pilot (LCCP) policy significantly increases the level of CUL by 1.25 % in the pilot cities, which is still valid after range of robustness tests, and the mechanism analysis shows that green innovation and green habits are important ways for the policy to affect CUL. Based on the generalized random forest (GRF) algorithm, we further find that the policy can increase the CUL level by 0.6 %, and the average treatment effect (ATE) of the sample is concentrated between 0.004 and 0.006, which exhibits obvious heterogeneity. This paper chooses population quality, openness level and industrial structure as heterogeneous factors, which are finally found to have a U-shaped or inverted U-shaped relationship with ATE. This study provides useful insights for China and other countries to break the carbon lock-in and realize green development. • Low-carbon city pilot policy can effectively promote urban carbon unlocking. • Causal forest model is used for causal inference based on generalized random forests algorithm. • The propensity score is calculated by machine learning. • Generalized random forest is used for heterogeneity analysis. • Low-carbon city pilot policy transmits policy effects through green innovation and green habits. [ABSTRACT FROM AUTHOR]

The carbon dioxide (CO 2) emissions have reached their highest levels since measurements began in recent years. This is widely regarded as one of the primary factors contributing to the increasing frequency of extreme climate events. Consequently, accurate and reliable CO 2 emission data becomes the benchmark in shaping policies and setting targets aimed at reducing emissions, which are essential for carbon emission-related research. Among all industries, the electric power sector takes the highest proportion of CO 2 emissions, making the carbon emission accounting for this sector a crucial component of overall carbon emissions accounting. Therefore, the objective of this paper is to provide a comprehensive review of the applied technologies and research progress in electricity carbon emissions accounting. The paper begins by introducing the fundamental concept of electricity carbon emission accounting. Electricity carbon emissions are categorized into two types: direct carbon emissions from electricity production and indirect carbon emissions from electricity consumption. Then, the current applied approaches for accounting for these two types of emissions are reviewed separately. After analyzing the shortages of existing applied carbon emission accounting approaches, the paper proceeds to review the research on the improved approaches of direct and indirect carbon emission accounting. Finally, the paper outlines the future development prospects of carbon emission accounting technology. • Application status of carbon emission accounting approaches in the electric power industry is analyzed. • Direct carbon emission accounting approaches based on big data technologies are introduced. • Research exploration in electricity indirect carbon emission accounting is reviewed and compared. [ABSTRACT FROM AUTHOR]