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This paper introduces the low-carbon quantitative index and energy consumption evaluation standard of cold storages, then systematically summarizes the novel low-carbon technologies and their application in cold storages from three aspects: refrigeration technology, cold thermal energy storage and air distribution optimization and finally prospects the development of cold storages in the future.

Decarbonization of the power sector in China is an essential aspect of the energy transition process to achieve carbon neutrality. The power sector accounts for approximately 40% of China’s total CO2 emissions. Accordingly, collaborative optimization in power generation expansion planning (GEP) simultaneously considering economic, environmental, and technological concerns as carbon emissions is necessary. This paper proposes a collaborative mixed- integer linear programming optimization approach for GEP. This minimizes the power system’s operating cost to resolve emission concerns considering energy development strategies, flexible generation, and resource limitations constraints. This research further analyzes the advantages and disadvantages of current GEP techniques. Results show that the main determinants of new investment decisions are carbon emissions, reserve margins, resource availability, fuel consumption, and fuel price. The proposed optimization method is simulated and validated based on China’s power system data. Finally, this study provides policy recommendations on the flexible management of traditional power sources, the market-oriented mechanism of new energy sources, and the integration of new technology to support the attainment of carbon-neutral targets in the current energy transition process.

The integrated energy system at the park level, renowned for its diverse energy complementarity and environmentally friendly attributes, serves as a crucial platform for incorporating novel energy consumption methods. Nevertheless, distributed energy generation, characterized by randomness, fluctuations, and intermittency, is significantly influenced by the surrounding environment. Within the park, the output of multiple devices frequently diverges significantly from the actual demand, potentially resulting in energy waste phenomena, such as the curtailment of wind and solar power. To tackle the dual challenges of balancing energy supply and demand while reducing carbon emissions in the industrial park, this paper introduces a low-carbon integrated energy system that incorporates distributed renewable and clean energy sources. Mathematical models are formulated for the source–grid–load–storage components of this low-carbon integrated energy system. Furthermore, various operational scenarios for the park-level integrated energy system are analyzed. The ultimate goal is to devise an economically viable, low-carbon, and efficient operational strategy for the integrated energy system, aiming to satisfy the diverse objectives of various stakeholders.

In the context of “dual carbon”, restrictions on carbon emissions have attracted widespread attention from researchers. In order to solve the issue of the insufficient exploration of the synergistic emission reduction effects of various low-carbon policies and technologies applied to multiple microgrids, we propose a multi-microgrid electricity cooperation optimization scheduling strategy based on stepped carbon trading, a hydrogen-doped natural gas system and P2G–CCS coupled operation. Firstly, a multi-energy microgrid model is developed, coupled with hydrogen-doped natural gas system and P2G–CCS, and then carbon trading and a carbon emission restriction mechanism are introduced. Based on this, a model for multi-microgrid electricity cooperation is established. Secondly, design optimization strategies for solving the model are divided into the day-ahead stage and the intraday stage. In the day-ahead stage, an improved alternating direction multiplier method is used to distribute the model to minimize the cooperative costs of multiple microgrids. In the intraday stage, based on the day-ahead scheduling results, an intraday scheduling model is established and a rolling optimization strategy to adjust the output of microgrid equipment and energy purchases is adopted, which reduces the impact of uncertainties in new energy output and load forecasting and improves the economic and low-carbon operation of multiple microgrids. Setting up different scenarios for experimental validation demonstrates the effectiveness of the introduced low-carbon policies and technologies as well as the effectiveness of their synergistic interaction.

Tourism expansion has led to increased municipal solid waste (MSW) generation, which can exacerbate environmental and societal problems if proper waste management systems are not implemented. The study develops a framework for implementing bio-based solutions (BbS) for MSW management in a cultural tourism destination, using the walking street in Nan, Thailand, as a case study. Four low-carbon waste management scenarios were assessed, including increasing recycling rates (RE), using food waste as animal feed (BbS1), using bagasse containers as a soil conditioner (BbS2), and substituting single-use plastics with bamboo products (BbS3). Results showed that the BbS1 scenario had the highest performance in greenhouse gas (GHG) mitigation, reducing 66.3 t CO2e/year, followed by BbS2, RE, and BbS3 scenarios, which reduce GHG by about 12.3, 11, and 1 t CO2e/year, respectively. However, the BbS2 scenario has an additional benefit in returning around 84 kg N/year to the soil. Implementing the combination of RE, BbS1, BbS2, and BbS3 reduced waste to landfills by about 25.5 t MSW/year and reduced GHG emissions by 90.3 t CO2e/year. Enhancing residual waste management is recommended, which can lead to mitigation of about 164.3 t CO2e/year, or 83 % GHG emissions reduction compared to the base case.

The effects of climate change, induced by global warming, are leading to huge economic, environmental and social impacts worldwide. The world is considered to be in a state of climate emergency, and urgent decarbonisation measures are required to control the temperature rise and mitigate such effects. In this context, EU targets for decarbonisation are to reduce, at least 55% of GHG emissions until 2030, and then to become climate‐neutral, by 2050. The steel industry, being among the biggest producers of CO2, is committed to fulfil this goal. However, the production of 1 tonne of steel, in the coal‐dependent BF/BOF route, can lead to about 2.3 tonnes of CO2, and this route is responsible for more than half of all steel produced in EU. Therefore, finding alternative breakthrough technologies to reduce CO2 emissions is a priority for the steel industry, and different decarbonisation strategies are being implemented in different European plants. Such strategies include the optimization of the DRI and EAF route. This paper focused on this strategy and it was found that the combined route DRI and EAF, based on green hydrogen and carbon free electricity, may reduce CO2 emissions in about 98% compared to the BF/BOF route. [ABSTRACT FROM AUTHOR]

It is widely acknowledged that greenhouse gases (GHG) like carbon dioxide (CO2), nitrous oxide (N2O), and methane (CH4) play a key role in the development of global climate change. 17% of China's GHG came from the agricultural industry. For China's future development, it is essential to investigate low-carbon emission paths in planting fields, as one of the key components of agriculture. In this study, the IPCC method was used to estimate the total carbon emission from cultivation in Eastern China. The Tapio decoupling model was used to study the relationship between economic growth and carbon emission. An extended STIRPAT stimulus model was established to predict the carbon emission of the planting industry in East China with three development paths. The results show that carbon emission in East China has shown a fluctuating downward trend with a peak in 1999, which has strong decoupling characteristics with economic growth. Adjusting agricultural structure and raising the mechanization rate can remarkably reduce agricultural carbon emission. Compared to 2020, carbon emission in 2035 will decrease by 12.50%, 13.68%, and 14.32% with Baseline, Low-carbon, and Enhanced Low-carbon scenarios, respectively. Effective measures such as optimizing planting structure by adjusting rice area, promoting intensive mechanization, and improving fertilizer use efficiency can reduce carbon emission actively. [ABSTRACT FROM AUTHOR]

Copyright of Architectural Journal / Jian Zhu Xue Bao is the property of Architectural Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Industrial Water Treatment is the property of CNOOC Tianjin Chemical Research & Design Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Operations Research Transactions / Yunchouxue Xuebao is the property of Editorial office of Operations Research Transactions and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Low-carbon goals significantly vary in regions and periods. This study analyzes the goal setting at prefecture level in China. It shows that the low-carbon achievement in the last term significantly affects the setting of subsequent goal. Specifically, 1% increase in the achievement of low-carbon goals in the 12th Five-Year Plan (2011–2015) decreased the goals in the 13th Five-Year Plan (2016–2020) by 0.35–1.09%. In addition, the goals in low-carbon pilot cities are less ambitious than those in non-pilot ones. It is suggested to weigh more on low-carbon development when evaluating the performance of local authorities. [ABSTRACT FROM AUTHOR]

In order to improve wind power consumption, smooth load fluctuations, and achieve economic and low-carbon operation of the system, based on the characteristics of solar thermal power plants, a low-carbon economic optimal scheduling model of solar thermal power plant combined wind power system considering the stepwise carbon trading mechanism and demand response was proposed. Firstly, an electric heating device was added to form a combined wind power generation system with photothermal power generation to improve the overall scheduling flexibility of the system. Secondly, the scenario method was adopted to deal with the uncertainty of renewable energy and load, and the step-type carbon trading mechanism was introduced to the source side to control carbon emissions. The load curve was smoothed by the demand response on the load side, and the optimization objective function with the lowest total operating cost of the system was established. Finally, CPLEX toolbox was used to solve the problem. The results show that the established model can improve the wind power consumption, ensure the economy and reduce the carbon emission. [ABSTRACT FROM AUTHOR]

The objective of this research is to explore the potential of financial inclusion and low-carbon architectural design strategies as solutions to improve the thermal comfort and energy efficiency of new buildings in different architectural climate conditions. The manufacture sector, which accounts for about 40% of all yearly greenhouse gas releases, has been stimulating with trying to reduce the amount of energy it consumes and the detrimental effects it has on the climate, in accordance with the standards outlined in the 2016 Paris Agreement. In this study, panel data analysis is used to examine the connection between green property financing and carbon dioxide emissions from the building sector in one hundred and five developed and developing countries. Although this analysis finds a negative correlation among the development of environmentally friendly real estate financing and firms' worldwide carbon dioxide emissions, it finds that this correlation is most robust in developing nations. A number of these countries are experiencing an unregulated and rapid population explosion, which has boosted their demand for oil, making this discovery essential for them. The difficulty in securing green funding during this crisis is slowing and even reversing gains made in past years, making it all the more important to keep this momentum going during the COVID-19 outbreak. It's critical to keep the momentum going by doing something. [ABSTRACT FROM AUTHOR]

In this study, Ti2AlC/Ti2AlN powders were first incorporated to fabricate low‐carbon MgO‐C refractories, and their oxidation behaviors were investigated. Computed tomography (CT) results indicated that stress cracks only occurred in the Ti2AlC‐added sample after exposure to 1100°C, and the anomalous oxidation behavior of Ti2AlC powder at 578°C worsened the oxidation result at 1100°C for MgO‐C refractories with Ti2AlC. At 1500°C, the oxidation behaviors of MgO‐Ti2AlC/Ti2AlN‐C samples revealed a slight mass gain due to the disintegration of Ti2AlC/Ti2AlN, and their oxidation resistances increased by 18% as compared to their counterparts. In addition, the role of Ti2AlC/Ti2AlN was elucidated. The oxidation process was comprehensive and was mainly determined by the deterioration of carbon and MAX phases. The obtained results indicated that Ti2AlN was more suitable for fabricating low‐carbon MgO‐C refractories as compared with Ti2AlC. [ABSTRACT FROM AUTHOR]

As the main artery of the national economy, the national major livelihood project and the hub of the comprehensive transportation system, the status and role of high-speed railway stations are increasingly prominent, and the stations are faced with huge demand for carbon reduction and transformation challenges. This paper discussed the intelligent, green, and humanistic development path of the large high-speed railway station in cold regions, which had various design requirements, difficult construction, and high energy consumption. Taking Mudanjiang railway station as an example, starting from its actual functional requirements and characteristics, the concept was proposed which combining smart and low carbon into the full process of design, construction, operation, and maintenance. The concept provide a reference for the performance optimization, cost control and quality improvement of large high-speed railway passenger stations in cold regions. [ABSTRACT FROM AUTHOR]

In order to improve truck transport efficiency, reduce carbon emissions and save transport costs in open-pit mines, pure electric trucks are taken as the research object. The objective function is transportation cost, total queuing time (including truck charging time, operation time and maintenance waiting time in the production process), and ore grade deviation. The constraints include the crushing capacity of the crushing site, mining capacity of the mining site, loading capacity, ore grade error limit, vehicle charging pile selection and charging limit. The optimization model of low carbon transportation scheduling of open-pit is established. The gray wolf optimization (GWO) and non-dominated sorting genetic algorithm-II (NSGA-II) have been used to solve the low-carbon transportation scheduling model for pure electric mining trucks in open-pit mines. The former is prone to get trapped in local optimum while the latter is likely to achieve a global optimum but converges slowly. In order to solve the above problems, a GWO-NSGA-II hybrid algorithm is proposed. The hybrid algorithm introduces three genetic operations of NSGA-II, selection, crossover and mutation, into the GWO algorithm to effectively prevent the algorithm from falling into local optimum. In order to improve the stability of the global convergence of the algorithm, hunting and attack operations are introduced into the elite retention strategy of NSGA-II. Five standard test functions are used to verify that the hybrid algorithm improves the stability while ensuring the convergence. The example analysis shows that, compared with NSGA-II and GWO, the hybrid algorithm improves the optimization speed by 48.7% and 27.1% respectively. The hybrid algorithm improves the optimization precision by 17.1% and 9.3% respectively. The hybrid algorithm reduces the number of trucks, carbon emissions, transportation distance and transportation costs.

In response to the global climate change and the need for green and low-carbon development, hydrogen energy has been recognized as a clean energy source that can achieve carbon neutrality unlike fossil fuels. As a country with a shortage of energy resources, the development of hydrogen energy is of significant importance for China to adjust its energy structure and accelerate the new era of energy transformation. Based on the development of China's hydrogen energy industry, this paper elaborates on the current status and development trends of key technologies in the entire industrial chain of hydrogen energy in various stages including production, storage, transportation, and application, and identifies the problems and challenges of hydrogen energy development. The paper focuses on the analysis of hydrogen storage and transportation application scenarios and clarifies the selection of hydrogen storage and transportation technologies in different scenarios. To achieve healthy development of China's hydrogen energy industry, it is necessary to strengthen top-level design, make strategic planning, encourage large-scale state-owned energy enterprises to play a leading role, promote the development of the entire industry chain, increase technological research and development efforts, prevent the risk of core technology constraints, and vigorously promote the application of hydrogen energy to realize the construction of a hydrogen energy society.

Combined with the requirements of low-carbon transformation of power system, this paper points out the existing problems in power and energy balance of new power system under the dual carbon target. The technical solutions for electric power balance are summarized from the perspectives of planning and operation. The concept of “carbon correlation” is proposed to quantitatively represent the matching degree between equipment characteristics and dual carbon paths, which can provide alternative reference for planning. Secondly, considering the uncertainty and uncontrollability of new energy, the operation level is divided into normal state and emergency state, so as to improve the resilience of the power system. Finally, seasonal energy storage planning is taken as an example1 to clarify its role in medium - and long-term power balance, and the results show that although seasonal storage increases the configuration cost of energy storage, it can reduce the operating cost and improve the economy of the system as a whole. The multi-stage low-carbon planning of multi-energy complementary comprehensive energy park is taken as example 2 to clarify the steps of carbon-energy collaborative planning. The results show that the multi-stage planning method can avoid the waste caused by the equipment in the early stage and make the time sequence of capacity expansion and load increase consistent. At the same time, the demand response method can be used to be more flexible and reasonable, and can further improve the economy of the system.

In order to build Beijing into a world-class harmonious and livable capital city, its energy and environmental issues deserve special attention. Considering London’s experience and achievements in tackling smog crisis, New York’s world-class city positioning and influence, and Tokyo’s geographical and cultural characteristics, these three world-class megacities are taken as examples in this study for investigating and analyzing the establishment and optimization of an urban energy system which is clean, efficient, safe, and sustainable. The urban planning strategies, planning experience, and related energy policy of these three megacities for building low-carbon cities are reviewed and their enlightenment to Beijing is discussed. The study of international cases has a certain reference effect on the energy structure adjustment and urban planning practices related to Beijing’s construction of a low-carbon city.

Traditional silicate cement materials produce a large amount of CO2 during production, making it urgent to seek alternatives. Alkali-activated slag cement is a good substitute, as its production process has low carbon emissions and energy consumption, and it can comprehensively utilize various types of industrial waste residue while possessing superior physical and chemical properties. However, the shrinkage of alkali-activated concrete can be larger than that of traditional silicate concrete. To address this issue, the present study utilized slag powder as the raw material, sodium silicate (water glass) as the alkaline activator, and incorporated fly ash and fine sand to study the dry shrinkage and autogenous shrinkage values of alkali cementitious material under different content. Furthermore, combined with the change trend of pore structure, the impact of their content on the drying shrinkage and autogenous shrinkage of alkali-activated slag cement was discussed. Based on the author's previous research, it was found that by sacrificing a certain mechanical strength, adding fly ash and fine sand can effectively reduce the drying shrinkage and autogenous shrinkage values of alkali-activated slag cement. The higher the content, the greater the strength loss of the material and the lower the shrinkage value. When the fly ash content was 60%, the drying shrinkage and autogenous shrinkage of the alkali-activated slag cement mortar specimens decreased by about 30% and 24%, respectively. When the fine sand content was 40%, the drying shrinkage and autogenous shrinkage of the alkali-activated slag cement mortar specimens decreased by about 14% and 4%, respectively. [ABSTRACT FROM AUTHOR]

Low-carbon development emphasizes companies' focus on protecting the environment while achieving economic benefits for their business. Ecologically managed efficiency refers to the introduction of ecological concepts in the business strategy of an enterprise. It guides the manufacturing process in a direction conducive to comprehensive resource utilization and ecological environmental protection and promotes a virtuous cycle among economic, social, and environmental systems. In order to evaluate the ecologically managed efficiency of manufacturing enterprises, this paper proposes an efficiency evaluation model combining the entropy method and DEA model, aiming to assess whether or the ecological management behaviors and strategies are effective. Specifically, this method first uses the DEA model to calculate the cross-efficiency evaluation matrix of the evaluated enterprises. Then, the information entropy and weights of the evaluation information by the entropy method. Next, the comprehensive evaluation value and ranking of ecologically managed efficiency can be obtained by aggregating the information entropy and weights. Finally, a case study is used to validate the proposed method, and the results show the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

The climate issue has become an environmental concern for all sectors of the world and the low-carbon economy has thus become a new economic development model to combat climate change. With the development of low-carbon economy era, the textile and clothing industry plays an important role in stabilizing the development of low-carbon economy and society, and China has put forward the development requirements of low-carbon transformation for the textile and clothing industry, and also it has an important strategic value to promote the high quality development of low-carbon economy and society, and the construction of brands’ core competitiveness is an inevitable choice for clothing brands in the face of the new form of international competition. As a result, the evaluation indicator of clothing brands’ core competitiveness in the low-carbon economy is used to measure the core competitiveness of clothing brands. Based on the corresponding verification results obtained by analytic hierarchy process (AHP) analysis, it can guide the low-carbon development of the clothing industry, thus proposing a more reasonable way to build the core competitiveness of clothing brands. It can promote the low carbon transformation and upgrading of the clothing industry, effectively increase the market share of clothing brands, and promote the high-quality development of clothing brands. [ABSTRACT FROM AUTHOR]

Low-carbon tourism (LCT) should be promoted in the development of the tourism sector, particularly in urban tourism, associated with the issue of high carbon dioxide emissions from human transportation-related activities and environmental pollution. Unfortunately, until today, there are still no specific guidelines for developing LCT in urban areas on the implementation or assessment criteria for determining the low carbon level. In consequence, the goal of this article is to discuss low-carbon indicators and policies used in the development of urban tourism. We identified 159 low-carbon indicators through content analysis, after reviewing reliable resources from four journal articles and a government policy paper validated using qualitative methods. Some suggested strategies and policies for LCT activities, actions and cooperation from the authorities and residents in implementing LCT as a new tourism development model. The results can be used globally as a basis for the formation of policies and studies related to LCT in urban areas. [ABSTRACT FROM AUTHOR]

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Architectural Journal / Jian Zhu Xue Bao is the property of Architectural Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper establishes an evaluation system based on the low-carbon intensive land use in Jinan city from 2010 to 2017 and uses a multi-attribute approach named grey fuzzy integral to build the evaluation model. In this model, based on the Mobius transformation coefficient of subjective and objective weights of index factors and the interaction degree between index factors, 2-additive fuzzy measures can be obtained; therefore, evaluation of low-carbon and intensive land use in Jinan city is processed by combining the grey correlation degree and Choquet fuzzy integral. The results show that in the study period, land input intensity, land use degree, land output benefit and land sustainability in Jinan city all show a good upward trend, but the low-carbon land use level of has been in a declining state. Although there is a good development trend of low-carbon and intensive land use in Jinan, the state is not stable. A Low-carbon and intensive land use pattern will not be achieved completely overnight, and it is bound to be a dynamic game process. [ABSTRACT FROM AUTHOR]

Strengthening environmental governance and green low-carbon policies is a key measure to improve agriculture green total factor productivity and develop sustainable agriculture. Against this background, this study explores the relationship between agriculture green total factor productivity (AGTFP), environmental governance, and green low carbon policies based on panel data of 30 Chinese provinces from 2005 to 2019, and the system generalized method of moments model is adopted. The empirical results are as follows: (1) Environmental governance will not only directly affect AGTFP, but also indirectly affect AGTFP by influencing green technology innovation. (2) Environmental governance can strengthen the promotion of green low-carbon policies to AGTFP. (3) There are regional differences in causality among AGTFP, environmental governance, and green low-carbon policies. These empirical results offer Chinese policymakers scientific and normative recommendations for improving AGTFP and developing sustainable green agriculture. [ABSTRACT FROM AUTHOR]

Excessive applications of agricultural chemical fertilizers contribute to environmental pollution and climate change. Although chemical fertilizers ensure high grain yields, it is crucial to regulate fertilization practices and avoid excessive application to achieve sustainable agricultural development. The overall goal of this study is to examine how market pressure and social network affect farmers' adoption of low-carbon fertilization practice. Data analyses were based on 1255 observations collected from a field survey in Anhui Province of China in 2021. The results showed that 32.1% of farmers had adopted low-carbon fertilization practices. The findings showed that market pressure, including consumption pressure and sales pressure, had positive impacts on the farmers' adoption of low-carbon fertilization practices. Findings also revealed that consumption pressure has a more significant influence on farmers' adoption of low-carbon fertilization practices than sales pressure. Social network has a significant positive influence on the farmers' adoption of low-carbon fertilization practices. Further analysis revealed that organizational network has a more significant influence on farmers' adoption of low-carbon fertilization practices than production networks. Therefore, the government should utilize market pressure and strengthen farmers' social network to improve the adoption rate of low-carbon fertilization practices. The results and policy implications of this study are significant for sustainable agricultural development under climate change in China and other countries. [ABSTRACT FROM AUTHOR]

Copyright of Electric Drive is the property of Electric Drive Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Decarbonization of the power sector in China is an essential aspect of the energy transition process to achieve carbon neutrality. The power sector accounts for approximately 40% of China's total CO2 emissions. Accordingly, collaborative optimization in power generation expansion planning (GEP) simultaneously considering economic, environmental, and technological concerns as carbon emissions is necessary. This paper proposes a collaborative mixedinteger linear programming optimization approach for GEP. This minimizes the power system's operating cost to resolve emission concerns considering energy development strategies, flexible generation, and resource limitations constraints. This research further analyzes the advantages and disadvantages of current GEP techniques. Results show that the main determinants of new investment decisions are carbon emissions, reserve margins, resource availability, fuel consumption, and fuel price. The proposed optimization method is simulated and validated based on China's power system data. Finally, this study provides policy recommendations on the flexible management of traditional power sources, the market-oriented mechanism of new energy sources, and the integration of new technology to support the attainment of carbon-neutral targets in the current energy transition process. [ABSTRACT FROM AUTHOR]

At container terminals, quay cranes, yard trucks, and yard cranes are mainly used to transfer containers. Driven by the demand for a green and low-carbon economy, an integrated scheduling problem considering three types of handling equipment of container handling systems is studied. As the task of transferring each container is completed by the three handling equipment sequentially, the optimal solution may not be found by only studying one type of equipment separately from a green operations perspective. The inter-dependency of different equipment should be considered to guarantee the overall performance of container handling systems with low-carbon operations so as to reduce energy consumption. In this paper, this integrated problem is formulated as a mixed integer linear programming (MILP). Since the MILP cannot be applied to solve large-sized practical problems, a genetic algorithm (GA) is developed. In the proposed GA, a three-dimension chromosome representation is proposed, which integrates the coordination of three handling equipment. A new mechanism including three pairs of crossover and mutation is used in parallel in GA with the aim of enhancing the efficiency of searching for good solutions. Each pair of crossover and mutation is specific to one dimension of a solution. Moreover, a novel heuristic mutation is developed to diversify solutions. The computational results indicate that the developed solution method for the integrated scheduling problem is promising and the heuristic mutation can highly improve the solution quality. [ABSTRACT FROM AUTHOR]

Reducing emissions from construction and buildings is pivotal to climate change mitigation. Hence, transitioning to a low-carbon emission industry is the focus of many countries by applying prefabrication and building information modelling (BIM). Although prefabrication and BIM contribute towards reducing emissions, the burgeoning body of knowledge mostly consider them separate and often neglect advances in their synergies towards low-carbon building delivery. More importantly, a thorough review of the current state of BIM and prefabrication integration is still lacking. Therefore, this study uses the systematic review to explore the integration of BIM and prefabrication towards low-carbon efforts in building delivery. Six typologies of integrating BIM and prefabrication for low-carbon activities were revealed. Thus, energy and environmental assessments; visualization and real-time monitoring; parametric design optimization; automation in modelling; BIM-PC modifications; and information mapping. Further, these typologies explored four main low-carbon attributes in building delivery; energy evaluation, material selection, waste reduction and process efficiency. From the findings, research gaps were identified and future research directions such as BIM-based bill of quantities for carbon footprint analysis, and circularity features of prefabricated components were provided. This study consolidates advances in BIM and prefabrication scholarship and informs practice for evaluation of low-carbon processes in buildings. [ABSTRACT FROM AUTHOR]

In recent years, the escalating prevalence of elevated consumption and carbon emissions within urban operations has reached a disconcerting extent. This surge in resource depletion and environmental pollution exerts an adverse influence on the well-being of individuals, while impeding societal progress and hindering the enhancement of overall quality of life. Within the domain of urban environmental design, the integration of visual displays emerges as a superior approach to facilitate the assimilation and analysis of green and low-carbon information. However, urban environmental data usually contains multiple dimensions, so it is a problem to realize the data representation of multiple dimensions while maintaining the correlation and interactivity between data. To surmount the challenge of visualizing such intricate information, this investigation initially employs a sophisticated memory-based clustering algorithm for information extraction, accompanied by a global similarity algorithm that meticulously computes attribute component quantities within specific dimensions of the vector. Furthermore, leveraging the inherent power of Vue’s bidirectional data binding capabilities, the study adopts the esteemed MVVM (Model-View-View-Model) pattern, fostering seamless two-way interaction through the established logical relationship. As a result, the amalgamation of multidimensional visualization technology empowers comprehensive data mining through a captivating visual augmentation. Concurrently, the application of data visualization dimension control delivers tailored displays tailored to green and low-carbon scenarios within urban environmental design. Experimental results impeccably validate the effectiveness of the proposed algorithm, substantiated by a mere 1.77% false alarm rate for data stream difference detection and a clustering difference of 1.34%. The aforementioned algorithm accentuates the efficacy of visual displays, thus engendering a profound synergy between the industrial and supply chains. Moreover, it facilitates the design, production, and utilization of environmentally friendly products and energy sources. This, in turn, serves as a catalyst, propelling the widescale adoption of green and low-carbon practices throughout the entire industrial chain, fueled by the seamless integration of multimedia data.

Many challenges should be tackled in transitioning to a low-carbon energy system, motivating many researchers to study these challenges. In this context, the present study aims to identify challenges through a systematic literature review of studies published between 2006 and 2023 to propose a comprehensive framework of challenges. To this end, the PICOC framework was applied to set the research scope properly; and an integrated method called PSALSAR protocol was used to find, evaluate, and review publications published in Scopus and the Web of Science. As a result, 123 articles were reviewed, and seventeen challenges were identified and classified into five social, economic, environmental, technical, and institutional challenges. Results indicated that international agreements on climate change could boost the number of studies on the low-carbon energy transition. Also, it is indicated that researchers applied qualitative methods more in earlier studies, and methods and topics have become more profound over the years.

With the rapid development of economic globalization and green manufacturing, traditional flexible job shop scheduling has evolved into the low-carbon heterogeneous distributed flexible job shop scheduling problem (LHDFJSP). Additionally, modern smart manufacturing processes encounter complex and diverse contingencies, necessitating the ability to address dynamic events in real-world production activities. To date, there are limited studies that comprehensively address the intricate factors associated with the LHDFJSP, including workshop heterogeneity, job insertions and transfers, and considerations of low-carbon objectives. This paper establishes a multi-objective mathematical model with the goal of minimizing the total weighted tardiness and total energy consumption. To effectively solve this problem, diverse composite scheduling rules are formulated, alongside the application of a deep reinforcement learning (DRL) framework, i.e., Rainbow deep-Q network (Rainbow DQN), to learn the optimal scheduling strategy at each decision point in a dynamic environment. To verify the effectiveness of the proposed method, this paper extends the standard dataset to adapt to the LHDFJSP. Evaluation results confirm the generalization and robustness of the presented Rainbow DQN-based method.

This research study presents a solution to combat plastic pollution by creating biodegradable tableware from bagasse, a byproduct of the sugar industry, as an eco-friendly alternative to conventional plastics. The purpose of the study is to establishing a technological manufacturing facility in India to produce tableware made of bagasse, showcasing its versatility and market viability. The optimal price, quality, and resources required for manufacturing bagasse-based biodegradable tableware were analyzed, aiming to replace Styrofoam in food packaging and tableware. The practical implications of this research include promoting lowcarbon economic solutions and contributing to reduce plastic waste. Moreover, the potential for widespread adoption of bagasse-based goods extends beyond tableware, presenting an opportunity for various industries both in India and globally to embrace sustainability. This research strives to pave the way for a greener and more sustainable future, revolutionizing packaging and tableware production through the adoption of biodegradable goods derived from bagasse.

Induced innovation is a multi-faceted process characterized by interaction between demand-pull forces, path-dependent self-reinforcing change, and the cost reduction of technology that occurs with cumulative deployment. By endogenously including induced innovation in energy models, policy analysts and modellers could enable a mission-oriented approach to policymaking that envisions the opportunities of accelerating the low-carbon energy transition while avoiding the risks of inaction. While the integrated assessment models used in the intergovernmental panel on climate change (IPCC-IAMs) account for induced innovation, their assumptions of general equilibrium and optimality may reveal weaknesses that produce unsatisfactory results for policymakers. In this paper, we develop a menu of options for modelling induced innovation in the energy transition with non-equilibrium, non-optimal models by a three step methodology: a modelling survey questionnaire, a review of the literature, and an analysis of case studies from modelling applications within the economics of energy innovation and system transition (EEIST) programme. The survey questionnaire allows us to compare 24 models from EEIST partner institutions developed to inform energy and decarbonisation policy decisions. We find that only six models, future technological transformations, green investment barriers mode, stochastic e xperience c urves, economy-energy-environment macro-econometric, M3E3 and Dystopian Schumpeter meeting Keynes, represent endogenous innovation—in the form of learning curves, R&D, and spillover effects. The review of the literature and analysis of case studies allow us to form a typology of different models of induced innovation alongside the IPCC-IAMs and develop a decision tree to guide policy analysts and modellers in the choice of the most appropriate models to answer specific policy questions. The paper provides evidence for integrating narrow and systemic approaches to modelling-induced innovation in the context of low-carbon energy transition, and promotes cooperation instead of competition between different but complementary approaches. These findings are consistent with the implementation of risk-opportunity analysis as a policy appraisal method to evaluate low-carbon transition pathways.

按照政府确定在2030年前碳达峰、提高能效和减排CO2的目标，引进新技术和新设备，探索采用清洁能源、调整生产工艺等节能减排措施和使用再生能源。油厂主要消耗能源是蒸汽、电和天然气。两条压榨生产线，规模分别为3 500 t/d和4 500 t/d，两条化学精炼生产线，规模分别为600 t/d和1 200 t/d。2016—2021年，消耗指标（两条生产线平均值）压榨蒸汽消耗从224.09 kg/t下降到194.34 kg/t，精炼从117.89 kg/t下降到36.69 kg/t；压榨电耗从23.69 kW·h/t增加到24.99 kW·h/t，精炼从14.92 kW·h/t下降到10.88 kW·h/t;压榨溶剂消耗从0.63 kg/t下降到0.47 kg/t;精炼天然气消耗从1.98 m3/t增加到2.35 m3/t(2018—2021年)。虽然该节能减排措施在油厂经济可行，但是没有与低碳和碳达峰关联，建议油脂行业权威机构组织专家建立油脂企业低碳排放指标认证体系和评价指标。 According to the government′s determination to reach the peak carbon dioxide emissions, improve energy efficiency and reduce CO2 emission by 2030, new technologies and equipment have been introduced, energy saving and emission reduction measures including using clean energy and adjusting production process have been explored and renewable energy has been used.The major energy source in the oil plant are steam, electricity and natural gas. There are two press production lines with the capacities of 3 500 t/d and 4 500 t/d respectively, and two chemical refining production lines with the capacities of 600 t/d and 1 200 t/d respectively.From 2016 to 2021, the energy comsumption(average value of two production lines)of the steam consumption in press line decreased from 224.09 kg/t to 194.34 kg/t, and in refining line it decreased from 117.89 kg/t to 36.69 kg/t;the electricity consumption in press line increased from 23.69 kW·h/t to 24.99 kW·h/t, and in refining line it decreased from 14.92 kW·h/t to 10.88 kW·h/t; the solvent consumption in press line decreased from 0.63 kg/t to 0.47 kg/t;the natural gas consumption in refining line increased from 1.98 m3/t to 2.35 m3/t（2018-2021）. Although the energy saving and emission reduction measures were economically feasible in oil plants, they were not related with low-carbon and peak carbon dioxide emissions.It is suggested that the authoritative organization of the oil industry should organize experts to establish a low-carbon emission index certification system and evaluation index for oil enterprises.

The in situ Mg-sialon in low-carbon MgO-C refractories was studied with respect to its oxidation behavior and mechanism at 1500 °C. The results indicated that the oxidation index and rate constant of low-carbon MgO-C refractories with Mg-sialon were 26.2% and 0.51 × 10−3 cm2/min at 1500 °C for 2 h, respectively. The formation of a dense MgO-Mg2SiO4-MgAl2O4 protective layer contributed to considerable oxidation resistance, and the generation of this thicker layer was due to the combined volume effect of Mg2SiO4 and MgAl2O4. The reduced porosity and more complex pore structure were also found in the refractories with Mg-sialon. Therefore, further oxidation was restricted as the oxygen diffusion path was effectively blocked. This work proves the potential application of Mg-sialon in improving the oxidation resistance of low-carbon MgO-C refractories. [ABSTRACT FROM AUTHOR]

In order to explore an effective way to evaluate the comprehensive performance of high-quality development of China's manufacturing industry based on low-carbon constraints, this paper, based on the analysis of research background, drew on the latest domestic and international research results and experience, and fully considered the actual situation of high-quality development of China's manufacturing industry based on low-carbon constraints. Among the five criteria-layer evaluation index of economic development, energy consumption, technological innovation, environmental pressure and environmental pollution governance, 30 representative operating-layer evaluation indicators were selected, and a fuzzy matter-element extension evaluation model for the comprehensive performance evaluation of China's provincial high-quality development based on low-carbon constraints was constructed. By using the relevant statistical data in China Statistical Yearbook, China Energy Statistical Yearbook and China Environmental Status Bulletin, this paper conducted an evaluation study on the comprehensive performance of high-quality development of China's manufacturing industry based on low-carbon constraints in 31 provinces, verified the effectiveness of the fuzzy matterelement extension evaluation model, and provided an effective quantitative analysis method for the comprehensive performance evaluation of high-quality development of China's manufacturing industry based on low-carbon constraints. [ABSTRACT FROM AUTHOR]

Formic acid (FA) is a potential hydrogen energy carrier and low-carbon fuel by reversing the decomposition products, CO 2 and H 2, back to restore FA without additional carbon release. However, FA-air mixtures feature high ignition energy and low flame speed; hence stabilizing FA-air flames in combustion devices is challenging. This study experimentally investigates the flame stability and emission of swirl flames fueled with pre-vaporized formic acid-methane blends over a wide range of formic acid fuel fractions. Results show that by using a swirl combustor, the premixed formic acid-methane-air flames could be stabilized over a wide range of FA fuel fractions, Reynolds numbers, and swirl numbers. The addition of formic acid increases the equivalence ratios at which the flashback and lean blowout occur. When Reynolds number increases, the equivalence ratio at the flashback limit increases, but that decreases at the lean blowout limit. Increasing the swirl number has a non-monotonic effect on stability limits variation because increasing the swirl number changes the axial velocity on the centerline of the burner throat non-monotonically. In addition, emission characteristics were investigated using a gas analyzer. The CO and NO concentrations were below 20 ppm for all tested conditions, which is comparable to that seen with traditional hydrocarbon fuels, which is in favor of future practical applications with formic acid. • The premixed formic acid-methane-air flames are stabilized for equivalence ratios of 0.5–0.8. • The addition of the formic acid up to mole fraction of 0.6 increases both the flashback and blowout limit. • Increasing the Reynolds number does not affect blow out limits. • The swirl number has a non-monotonous effect on the flashback and lean blowout limits. • The NO and CO emission of the lean formic acid-methane-air flames are low (<20 ppmvd). [ABSTRACT FROM AUTHOR]

The comprehensive worldwide review of hydrogen projects is based on the data presented in the International Energy Agency (IEA) database till October 2021. The data are verified using more than 500 information sources. The article analyzes 383 completed, ongoing, and planned hydrogen projects in 39 countries with known timeframes between 2000 and 2030 years regarding location, timeframe, hydrogen production technology, end product, end-use sector, electrolysis installed capacity, and zero-carbon estimated normalized capacity. The results show that crucial parameters undergo significant changes over time, mainly due to the transition from demonstration projects to projects aimed at industrial implementation. The change in the results while considering 45 electrolysis and two non-electrolysis projects with unknown timeframes are discussed. Authors plan a series of articles analyzing global trends in low-carbon hydrogen production to give worldwide scientists and experts the current stage of knowledge on essential technologies at the period of their industrial emergence. • 383 projects for hydrogen production in 39 countries are reviewed (IEA data). • More than 500 additional references identify key projects' characteristics. • Analysis of projects in 2000–2030 according to crucial characteristics is done. • Changed, confirmed and new trends of low carbon hydrogen production in 2020–2030 are provided. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Mine Automation is the property of Industry & Mine Automation Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Power Automation Equipment / Dianli Zidonghua Shebei is the property of Electric Power Automation Equipment Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The balanced ecological protection and high-quality development of the Yellow River basin (YRB) has become a major national strategy in China in which low-carbon agricultural development in the region is crucial. In this context, studying the coupling and coordination between agricultural carbon emissions efficiency and economic growth in the YRB is of great significance to promote low-carbon, green, and sustainable agricultural development. Therefore, based on the data of 30 cities in the YRB from 2010 to 2020, the super-efficient slacks-based measure (SBM) model with non-expected output was employed to effectively measure the agricultural carbon emissions efficiency in the YRB. Subsequently, the coupling and coordination degree of agricultural carbon emissions efficiency and economic growth in the YRB was further calculated. Finally, the Dagum Gini coefficient and kernel density estimation methods were adopted in order to comprehensively examine the spatial differences, as well as the dynamic evolution pattern of the coupled coordination in the YRB. The results demonstrate that there is a significant spatial non-equilibrium in the coupling and coordination degree of agricultural carbon emission efficiency and economic growth in the YRB, in addition to the decreasing trend of coupling coordination during the sample observation period. As such, there is still considerable room for improvement of the efficiency of agricultural carbon emissions and the degree of coupling and coordination in the YRB. This study may serve as a reference for improving the low-carbon development of agriculture and economy in the YRB, providing theoretical guidance for solving the contradiction between ecological protection and economic development in this region. [ABSTRACT FROM AUTHOR]

Most tourists who have been to Thai temples and have viewed Thai murals with untrained eyes may not immediately recognise a three-story structure on walls. It could be since Thai mural paintings are difficult to focus on since they are crammed with vivid characters that look identical in detail and personality. This strategy gives various advantages to the economics, location, and local people, significantly in emerging places in Asian continents like as Thailand, Laos, Vietnam and Malaysia and Indonesia. Nan area has been a significant global tourist places over few decades. Due to a sharp increase in tourism, this province runs the risk of falling short of its ecotourism goals. Scenario planning was chosen as a crucial method to assist Nan province in preparing and planning growth in demand to reduce the hazards of expanding ecotourism in Nan. Four hypothetical futures for Nan were created using specific assumptions about significant variables and driving factors. The most significant reasons to include in the scenarios were found via STEEP analysis. Additionally, suggested markers for tracking the growth of low-carbon tourism cities were made. [ABSTRACT FROM AUTHOR]

To improve the prediction ability of river ecological water requirement in sponge low-carbon urban areas, a prediction model of it based on big data analysis was proposed. A statistical analysis model of river ecological water requirement in sponge and low-carbon urban areas was established. Differential Particle Swarm Optimization Algorithm (DPSA) was used to calculate the characteristic quantity of river ecological water requirement in sponge and low-carbon urban areas. The detection model of ecosystem hydrothermal balance and lognormal distribution time series of groundwater level were constructed for the prediction of river ecological water requirement in sponge and low-carbon urban areas. Combined with the integrated control method of river ecological environment water demand forecasting and information exchange, a decentralized control model of river ecological water demand in low-carbon sponge urban areas was established. Through applicability analysis and model measurement analysis, combined with comprehensive index measurement, the prediction model of river ecological water requirement in low-carbon sponge urban areas was optimized. The empirical analysis results show that this method has good adaptability and high prediction accuracy for the prediction of river ecological water requirement in sponge low-carbon urban areas and improves the reliability of the prediction of river ecological water requirement and the matching level of urban ecological environment. [ABSTRACT FROM AUTHOR]