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This paper presents a comprehensive review of building lifecycle carbon emissions (CEBL) and reduction approaches, analyzing over 300 recent publications and engaging in in-depth discussion of more than 100 key studies. The review systematically examines CO2 emissions across all stages of a building's lifecycle, from material production and transportation to construction, operation, demolition, and material recycling. While existing research highlights the significance of operational energy efficiency, this review reveals critical research gaps in quantifying transportation emissions, accounting for on-site equipment emissions during construction, and addressing the unique characteristics of non-residential buildings. Furthermore, the paper underscores the urgent need for improved construction waste management practices, especially in developing countries where landfilling remains prevalent. For the building carbon reduction approaches, promising building carbon emission reduction approaches include leveraging carbon dioxide sinks, implementing integrated energy systems, integrating building-integrated photovoltaics (BIPV), and enacting effective policy interventions are separately discussed. By revealing data and theoretical limitations within current research, this review calls for more integrated and context-specific approaches to CEBL assessment, paving the way for a more sustainable built environment. [ABSTRACT FROM AUTHOR]

In the context of global low-carbon development, reducing rural residential carbon emissions is the key to implementing emission reduction policies. In order to reduce carbon emissions from rural housing, a carbon emission classification method based on residential life cycle assessment is proposed based on the characteristics of rural housing in China. Its innovation lies in achieving precise analysis of carbon emissions from multiple stages of residential design, construction, and use. Secondly, introducing a lifecycle based emission reduction planning strategy to achieve a new pattern of low-carbon emission reduction in rural residential areas. Taking a rural residential building as a case study, in the early stage of implementing emission reduction, the mean values of the initial carbon emissions corresponding to building energy consumption, energy consumption, and resident living habits were 689, 691, and 683, with standard deviations of 81, 79, and 84. After implementing emission reduction plans, the values decreased to 686, 674, and 631, respectively, with standard deviations reduced to 28, 32, and 13. It was evident that emission reduction planning not only significantly reduced the mean carbon emissions but also substantially decreases their variability, enhancing the stability of carbon emissions. This research contributed to a deeper understanding of the carbon emissions from rural residential life cycles and provides theoretical support and data references for the formulation and implementation of more scientific and effective emission reduction planning. Simultaneously, it promoted low-carbon development in rural areas of China, achieving a harmonious coexistence of economic and social development with environmental protection and contributing to global low-carbon development. [ABSTRACT FROM AUTHOR]

The present paper reviews the hot topics at the 18th Conference on Sustainable Development of Energy, Water, and Environment Systems (SDEWES) held from 24 to 29 September 2023 in Dubrovnik, Croatia. The selected papers, including aspects of biomass energy application, energy saving in building, low-carbon development and climate change adaptation, hybrid application of sustainable energy, energy storage system, and other measures in sustainable development, are published in this Special Issue of Energies. The 12 selected papers in Energies and corresponding literature that relates to the above topics and has been published in the most recent year are reviewed. In particular, diversifying energy applications are trending towards comprehensive integration with more efficient clean energy capacities for global energy procurement, which can also offer increased resilience and sustainability, reduce reliance on fossil fuels, mitigate environmental impacts, and enhance energy security through a mix of renewable sources and innovative technologies. Meanwhile, energy storage has become increasingly important, which can manage the intermittent of renewable energy, stabilize the grid, and improve energy security and resilience against disruptions. In addition to conventional solar energy storage, biomass energy storage, building energy storage, water storage, etc., can also reduce the overall energy costs, deferring investments in additional transmission infrastructure. [ABSTRACT FROM AUTHOR]

Introduction: The development of the digital economy has a profound impact on industrial economics. The article starts from the perspective of industrial organization theory. The thesis aims to analyze the industrial development of the digital economy and its three structural variables: digital manufacturing industry, digital service industry, and the development of industrial digitization on carbon emission intensity. Method: Based on the data of Input-output Tables with extended tables of 30 provinces, this paper analyzes the industrial development of digital economy and its three structural variables: digital manufacturing industry, digital service industry, and the development of industrial digitization on carbon emission intensity. Results and discussion: The empirical results show that: 1) at the national level, the development of China's digital economy industries has a suppressive effect on carbon emission intensity; 2) in terms of spatial effects, the development of digital economy has significant carbon spillover effects, but digital industrialization and industrial digitization present different spatial effect results; 3) from the analysis of regional heterogeneity, in the northeast, central and western regions, the direction of influence of digital industrialization and industrial digitalization on carbon emission intensity is consistent; in the eastern region, the development of digital industrial service sector and industrial digitalization has a suppressive effect on carbon emission intensity, while digital industrial manufacturing sector presents a pro-increasing effect; 4) Non-linear relationship analysis shows that the development of the digital industrial manufacturing sector has a "promoting and then inhibiting" effect on carbon emission intensity. Overall, the impact of digital industry development on carbon intensity exhibits a "promoting increase, then suppressing, then promoting increase" trend. In conclusion, the findings suggest that China's digital economy industry has entered the low-carbon development stage. [ABSTRACT FROM AUTHOR]

As China's "Dual Carbon" strategy is implemented and the new urbanization advances, balancing economic development, emission reduction, and carbon sequestration has become an important issue during the growth of emerging metropolitan areas, and it is also important for achieving high-quality urban development. Therefore, this study had three major objective functions: economic growth, carbon emission reduction, and increased carbon storage. The multi-objective land use quantity structure was solved using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), and the best solution in the solution set was introduced using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for evaluation. Finally, combined with the Future Land Use Simulation (FLUS) model, the low-carbon evolution of the metropolitan area was predicted on a spatial scale. The trade-off plan results show that by 2035, the economic benefits will reach CNY 7.65 trillion, carbon emissions will be kept under 99.24 million tons, and carbon storage will steadily increase by 15.2 million tons. Therefore, optimizing land use from the perspective of balancing carbon emissions, carbon sequestration, and economic development can provide valuable references for planning low-carbon development and the rational use of spatial resources in future metropolitan areas. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Ecology & Rural Environment is the property of Journal of Ecology & Rural Environment 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.)

Nowadays transformational changes are going together with the need to address global environmental and climatic challenges. The BRICS member countries realize the need for a fair energy transition to lowcarbon development both within the association and globally.Aim. The objective of the research is to highlight the priority areas that BRICS member countries need to focus on to ensure an equitable and cost-effective transition to low-carbon development at the global level.Tasks. In order to achieve the objective of the study, it is necessary to analyze the components of the BRICS equitable low-carbon development agenda as well as its applicability at the global level.Methods. The research was conducted using the method of systematic analysis of a wide range of academic and empirical sources. The author adheres to a systematic scientific approach.Results. Through the analysis of key initiatives of the BRICS member countries, including legislative ones, five priority areas on which the BRICS needs to focus on to ensure a fair energy transition at the global scale are identified: removing discriminatory measures in multilateral trade, achieving food security and economic growth, facilitating non-discriminatory access to technology, promoting environment and climate cooperation, and enhancing the human resource potential of the energy sector.Conclusions. The author concludes by noting that such a BRICS sustainable development agenda is capable of initiating energy transition processes on a global scale.

Abstract In the context of global low-carbon development, reducing rural residential carbon emissions is the key to implementing emission reduction policies. In order to reduce carbon emissions from rural housing, a carbon emission classification method based on residential life cycle assessment is proposed based on the characteristics of rural housing in China. Its innovation lies in achieving precise analysis of carbon emissions from multiple stages of residential design, construction, and use. Secondly, introducing a lifecycle based emission reduction planning strategy to achieve a new pattern of low-carbon emission reduction in rural residential areas. Taking a rural residential building as a case study, in the early stage of implementing emission reduction, the mean values of the initial carbon emissions corresponding to building energy consumption, energy consumption, and resident living habits were 689, 691, and 683, with standard deviations of 81, 79, and 84. After implementing emission reduction plans, the values decreased to 686, 674, and 631, respectively, with standard deviations reduced to 28, 32, and 13. It was evident that emission reduction planning not only significantly reduced the mean carbon emissions but also substantially decreases their variability, enhancing the stability of carbon emissions. This research contributed to a deeper understanding of the carbon emissions from rural residential life cycles and provides theoretical support and data references for the formulation and implementation of more scientific and effective emission reduction planning. Simultaneously, it promoted low-carbon development in rural areas of China, achieving a harmonious coexistence of economic and social development with environmental protection and contributing to global low-carbon development.

[Objective] To explore the trade-off and synergistic relationship between land use and ecosystem services in Yidu City, and optimize this relationship through multi-scenario simulation.[Method]Multi-objective planning and patch generation land use simulation model (PLUS) were used to construct three future development scenarios.The land use structure, spatial layout and ecosystem service value of Yidu City under different scenarios in 2030 were evaluated using InVEST model. [Result] Under the scenario of low-carbon development, the land use structure of Yidu City was the most reasonable, the spatial layout was the most intensive, and the ecosystem service value was the highest. Compared to other scenarios, the low-carbon development scenario performed better in terms of coordination and sustainability between land use and ecosystem services. [Conclusion] The low-carbon development scenario provides the best coordination path between land use and ecosystem services in Yidu City. [ABSTRACT FROM AUTHOR]

The demand for low-carbon and energy-efficient building designs is urgent, especially considering that building energy consumption constitutes a significant part of global energy usage. Unlike small to medium-sized buildings such as residential and office spaces, large public buildings, like sports facilities, have unique usage patterns and architectural forms, offering more significant potential for energy-saving strategies. This review focuses on sports buildings, selecting 62 high-quality papers published in building science over the past 30 years that investigate low-carbon and energy-efficient research. Summarizing and synthesizing these papers reveals that current studies predominantly concentrate on four main areas: indoor air quality, ventilation, thermal environment, and energy consumption. Notably, many studies emphasize improving indoor thermal comfort and reducing energy consumption in sports buildings through measurements and evaluations of indoor thermal environments, temperature distributions, heat transfer phenomena, and energy consumption analyses. Key outcomes indicate that green technology innovations, such as energy substitution technologies, significantly enhance energy efficiency and reduce CO2 emissions. However, present research emphasizes singular energy-saving approaches, suggesting future directions could integrate comprehensive green technologies, life-cycle assessments, and applications of intelligent technologies and the Internet of Things (IoT). These enhancements aim to provide more effective and sustainable solutions for implementing green, low-carbon energy practices in sports buildings. The review emphasizes that in order to accomplish sustainable urban growth and achieve global carbon neutrality targets, a comprehensive approach involving technical innovation, legislative assistance, and extensive preparation is crucial. [ABSTRACT FROM AUTHOR]

In order to provide a scientific basis for Henan Province to build a low-carbon and resilient city, enhance city risk-resistance capacity and achieve high-quality urban development, the evaluation index systems of urban resilience and low-carbon development were built respectively. Taking 2011-2021 as the research period and 18 prefecture-level cities in Henan Province as sample cities, the entropy method was used to calculate the urban resilience index and low-carbon development index and adopted the coupling coordination degree model and geographical detector to explore the spatial and temporal evolution pattern and driving factors of the coupling coordination of urban resilience and low-carbon development. The results show that the both urban resilience and low-carbon development level of Henan Province show a fluctuating upward trend. At the end of the research period, the urban resilience index and low-carbon development index are 0.320 and 0.403 respectively, which means that there is great room for improvement. The coupling coordination degree of urban resilience and low-carbon development of Henan Province shows a fluctuating upward trend, and the coupling coordination degree at the end of the study period is 0.508, which is barely coordinated on the whole. There is a significant spatial heterogeneity in the coupling coordination degree of urban resilience and low-carbon development of Henan Province, showing a spatial differentiation characteristic of " Zhengzhou as the center, with high in the center, and low in the surrounding". At the end of the research period, the urban resilience improvement in most prefecture-level cities in Henan Province lags behind low-carbon development, and there are only few synchronous development cities. The coupling and coordination of urban resilience and low-carbon development in Henan Province is affected by multiple factors such as economic development, public service, industrial structure, and technological innovation, in which economic development and technological innovation are the main influencing factors, and the interaction among all of the factors is manifested as two-factor enhancement. [ABSTRACT FROM AUTHOR]

Textile production has received considerable attention owing to its significance in production value, the complexity of its manufacturing processes and the extensive reach of its supply chains. However, textile industry consumes substantial energy and materials and emits greenhouse gases that severely harm the environment. In addressing this challenge, the concept of sustainable production offers crucial guidance for the sustainable development of the textile industry. Low-carbon manufacturing technologies provide robust technical support for the textile industry to transition to a low-carbon model by optimizing production processes, enhancing energy efficiency and minimizing material waste. Consequently, low-carbon manufacturing technologies have gradually been implemented in sustainable textile production scenarios. However, while research on low-carbon manufacturing technologies for textile production has advanced, these studies predominantly concentrate on theoretical methods, with relatively limited exploration of practical applications. To address this gap, a thorough overview of carbon emission management methods and tools in textile production, as well as the characteristics and influencing factors of carbon emissions in key textile manufacturing processes is presented to identify common issues. Additionally, two new concepts, carbon knowledge graph and carbon traceability, are introduced, offering strategic recommendations and application directions for the low-carbon development of sustainable textile production. Beginning with seven key aspects of sustainable textile production, the characteristics of carbon emissions and their influencing factors in key textile manufacturing process are systematically summarized. The aim is to provide guidance and optimization strategies for future emission reduction efforts by exploring the carbon emission situations and influencing factors at each stage. Furthermore, the potential and challenges of carbon knowledge graph technology are summarized in achieving carbon traceability, and several research ideas and suggestions are proposed. [ABSTRACT FROM AUTHOR]

Taiwan's encouragement of installing solar photovoltaic power plants (SPPPs) on warehouse rooftops is a step towards sustainability and profitable investment. This study, analyzing the installations of STY Company, found that rooftop SPPPs significantly boost revenue, with rates increasing from 2.0088% to 6.8681% over 20 years. The break-even point is in the 7th year, with a return rate ranging from 2.0088 to 2.1748%. This shows that SPPP investments are a benefit for investors, shortening construction times and allowing warehouses to sell solar energy at an earlier date. This research utilized a fuzzy nonlinear multi-objective programming model to examine trade-offs between construction time, cost, quality, and revenue (TCQR) to optimize SPPP construction. The findings suggest that reducing construction time is an effective strategy to lower carbon emissions despite potential cost increases. However, time and quality costs are inversely proportional, highlighting the importance of efficient project management in minimizing the impacts of this trade-off. Adjusting funding can maintain quality while speeding up construction. Completing projects early also heightens revenue from green energy sales, offsetting higher initial investments. The TCQR focuses on investment revenue, managing time efficiently, and making data-driven decisions to expedite SPPP development. This model improves project profitability and promotes sustainable growth by reducing construction time and optimizing financial strategies. This study's contribution includes: 1. Optimizing the installation process of warehouse rooftop SPPPs, which provide significant long-term revenue and environmental benefits. 2. Combining the different research methods of scholars into fuzzy methods that can solve complex systems with high uncertainty. The nonlinear model put forth by this study is closer to the actual situation and can handle balancing complex problems in multi-objective programming. 3. Improving the efficiency of time management to make it feasible to reduce construction time to lower carbon emissions. 4. Concocting a comprehensive approach integrating financial, environmental, and operational factors for successful SPPP development. This study addresses an academic gap. Previously, scholars conducted research independently, focusing solely on financial investment or time, cost, and quality (TCQ) issues without considering the two together. By combining financial investment with TCQ, this study fills a significant gap in academic research. According to this study, better investment returns could improve the promotion of solar energy. Unlike previous research, this study integrates the analysis of TCQ with that of revenue by assessing costs and revenues together. This approach allows decision-makers to derive judgments from the TCQR model quickly. [ABSTRACT FROM AUTHOR]

Under the increasingly severe climate crisis, it is of great significance to carry out research on carbon budget calculation and multi-scenario prediction under the "double carbon" target for realizing regional low-carbon and high-quality development. Taking the Yellow River Basin (YRB) of China as the research area, this paper firstly calculates the carbon budget of the YRB from 2000 to 2020 and analyzes its spatiotemporal change. Then, we simulated carbon emissions, carbon sequestration, and net carbon budget during 2030-2100 under the SSP1-5 scenario. Finally, the regulation strategies of carbon balance of the YRB were proposed from four aspects: strengthening ecological governance, improving land use mode, optimizing industrial structure and advocating low-carbon life. Our results showed: (1) The overall carbon sequestration and carbon emission show a trend of fluctuating increase during 2000 to 2020, but the increase rate of carbon emission is far greater than carbon storage. The net carbon emission during 2000-2020 is negative, which is manifested as a carbon sink area. (2) The order of carbon sequestration of the provinces in the YRB during 2030-2100 is the same under the SSP1-5 scenario, and the descending order is the following: Inner Mongolia, Qinghai, Shaanxi, Gansu, Shanxi, Henan, Ningxia, and Shandong. (3) The STIRPAT model can be used to predict the carbon emissions of the YRB in the future with high precision. (4) In terms of net carbon emissions, under the SSP1-5 scenario, the YRB will be a carbon sink area from 2030 to 2080, and a carbon source area from 2080 to 2100. (5) Different provinces have different paths to low-carbon development, Inner Mongolia and Qinghai maintain a good low-carbon development path under SSP1, SSP2 and SSP4 scenarios, Ningxia and Shandong maintain a good low-carbon development path under SSP1 and SSP2 scenarios, Shanxi maintains a good low-carbon development path under SSP1 and SSP3 scenarios, and Gansu, Shaanxi and Henan maintain a good low-carbon development path under the SSP3 scenario. [ABSTRACT FROM AUTHOR]

Copyright of Tunnel Construction / Suidao Jianshe (Zhong-Yingwen Ban) is the property of Tunnel Construction 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 Mining & Metallurgy (10057854) is the property of Beijing Research Institute of Mining & Metallurgy Technology Group 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.)

Government support for achieving corporate carbon emission reduction is crucial not only for sustainable business development, but it also holds strategic importance for China to achieve its "dual-carbon" goals. This article empirically explores the impact and underlying mechanisms of government environmental attention (GEA) on corporate carbon emission reduction performance (CEP), using a sample of A-share listed companies with high energy consumption from 2009 to 2020. The results show that GEA can improve corporate CEP. A heterogeneity analysis found that this effect is more pronounced in heavily polluting industries, small and medium-sized enterprises (SMEs), and companies located in the eastern regions of the country. A mechanism analysis suggested that GEA can improve corporate CEP by strengthening internal green technological innovation capabilities and attracting attention from external analysts and media. These research conclusions guide corporate carbon emission reduction practices and offer empirical evidence for the government in formulating regulatory policies for carbon reduction. [ABSTRACT FROM AUTHOR]

Low-carbon development and the ecological environment are often assessed separately, but understanding their interaction effect and the coupled coordination development from a spatially heterogeneous perspective remains limited, particularly in the context of rapidly urbanizing urban agglomeration regions. To address this research gap, this study assessed the levels and variations in coupled coordinated development between low-carbon development and the ecological environment at the urban agglomeration level using a coupled coordination degree model. Key factors of the interaction effect for each system were initially identified by ordinary least squares, then a geographically and temporally weighted regression model was used to reveal the spatial and temporal heterogeneity of these factors. Our study showed that the comprehensive development level of low-carbon development system in all cities exceeded that of the ecological environment system from 2006 to 2021. However, the level of synergy between the two systems showed slight improvement, with most cities exhibiting a moderate balance from 2010 to 2020. Regional heterogeneity was apparent in the coordinated development types, with highly balanced cities located primarily in the west and north of the urban agglomeration. Furthermore, our findings illustrated the positive effect of the air and climate environment on low-carbon development, contrasted with the negative influence of the land environment. These results not only enrich our understanding of low-carbon development and ecological environment interrelations in the Yangtze River Delta urban agglomeration but also provide insights applicable to similar regions worldwide, thereby contributing to the global discourse on synergistic sustainable development of low-carbon and ecological environment.

Low-carbon oriented land use change is crucial to tackling climate change issues in rapidly urbanizing metropolitans. Previous studies lacked to consider how the cross-level interaction within multilevel governance of metropolitan areas affect the land use change. In order to simulate multilevel governance interaction, this study proposes a land use simulation model, facilitating a comparative analysis of simulated results under different scenarios. Taking Hangzhou as the empirical study area, the results show that the predicted scale of construction land with high carbon emissions is smallest in interactive governance scenario. Its overall low-carbon performance of land use is the best among all scenarios, with a Polycentric Degree of 0.7856 (N = 4) and 0.9142 (N = 6), and Cohesion Degree and Land-Use Degree Index are 101.8320 and 101.7944 respectively. This study revealed that the interactive governance effectively curbs the growth of land with high-carbon emissions, promoting the spatial carbon efficiency and the low-carbon oriented spatial layout. Multi-level governance provides a framework for effective implantation of low-carbon oriented land use change objective and plays an important role in promoting its low-carbon performance. This study innovatively incorporates governance parameters into the land use prediction model, providing guidance for optimizing land use governance in metropolitan areas.

Developed countries offset global warming by abandoning high-carbon products in favour of low-carbon products and by introducing a transboundary carbon tax for those countries that are unable to make the transition immediately. One of the ways of the transition in developed countries is proposed generation of electricity from renewable energy sources (hereinafter referred to as RES). The purpose of the article is to assess the consequences of ­using RES as one of the ways to the transition to low-carbon products. RES are the object of the study, especially wind and solar power plants. Energy generation on them is considered an environmentally friendly production and does not require large operational costs. The subject of the study is economic relations that occur concerning construction and use of RES. The methodological basis of the study includes general scientific methods (generalization, systematisation) and economic-statistical methods (comparative analysis, tabular techniques for data visualisation). The main results of the study lie in justifying large investment costs in RES which are associated with provision of significant areas of land and sea and their withdrawal from agricultural turnover; with scarce and poorly developed deposits of non-energy commodities which are necessary for the creation of RES equipment; with unevenness in energy production and its low density in wind and solar power plants. That requires investments in storage and balancing systems. In pursuit of environmentally friendly production the West does not consider many components of economic efficiency: environmental protection and safety of working and living conditions of some countries in Asia, Africa and South America, and natural means of absorbing greenhouse gases. It should be ignored in the future when justifying economic efficiency of RES.

The article discusses the key risks of implementing a strategy for long-term socio-economic development of Russia with a low level of greenhouse gas emissions. In recent years, the climate agenda has been the most important driver of structural shifts in the world economy and is viewed by leading countries as a factor in intensifying economic growth and consolidating their technological leadership at the global level. In this context, Russia’s efforts to reduce its carbon footprint without direct import of low-carbon technologies and equipment from developed countries will run into non-recognition (of the carbon sink by Russian forests and carbonfree nature of nuclear and large hydro power plants) and increase in requirements for even more radical reduction in emissions. At the same time, Russia is already making a significant contribution to achieving the goals of the Paris Agreement. The article provides a list of measures that should underlie a balanced national climate policy. The strategy for the socio-economic development of Russia with a low level of greenhouse gas emissions should provide for a balance between solving the problems of preserving the population, improving the quality of its life, and ensuring dynamic and inclusive economic growth in the country. Russia’s potential announcement of commitments to unequivocally achieve carbon neutrality by mid-century carries serious risks to national interests. Instead, a more flexible language should be used to strive for carbon neutrality.

Green and low-carbon urbanization (GLCU) is as a key objective within the realm of urban sustainable development. The extent of coordination between urbanization and low-carbon development determines the level of GLCU. However, the complex driving mechanism of GLCU has not garnered the required attention within the existing literature. In light of this, the present paper introduces a multi-dimensional comprehensive evaluation framework aimed at assessing the level of GLCU. Specifically, it delves into the spatial–temporal characteristics and driving forces that underpin GLCU. The results indicate that the level of GLCU in the YRD region increased rapidly from 2005 to 2020, evolving from low coordination to moderate coordination. Yet, the trade-off between urbanization and low-carbon development still exists. The surge in population density and economic prosperity emerged as the principal positive drivers of GLCU, while the carbon emissions intensity exerted a negative influence. Furthermore, the effect of industrial structure shifted from a positive driver to a negative one. The effects of these drivers upon GLCU varied at different urbanization stages and determined the patterns of urban development, indicating that policies for sustainable development should be tailored to cities at different urbanization stages. These findings can provide useful information for policy makers and urban planners in managing and promoting urban sustainable development. [ABSTRACT FROM AUTHOR]

Climate change and the scarcity of natural resources necessitate a revaluation of corporate behavior and enterprise ecosystem towards resource efficiency and climate neutrality. Particular importance is given to rethinking the content and components of the sustainable resource use paradigm based on cross-sectoral interaction. In the context of transitioning to a low-carbon economy, which involves the decar-bonization of energy through the diversification of renewable energy sources, including the processing of agrobiomass (energy plant resources) into biofuels, the creation of agro-energy clusters becomes a priority for strengthening energy and environmental security. The aim of the article is to theoretically and methodologically substantiate the convergence of the sustainable resource use paradigm under conditions of corporate climate neutrality, to elucidate the climate-neutral immanence of sustainable resource use of enterprises, and to determine the methodological prerequisites for the creation of agro-energy clusters based on resource efficiency and climate neutrality. The main provisions of modern resource concepts of sustainable development in the energy market have been systematized. A scientific contradiction in the area of resource use and climate neutrality has been noted. It has been found that the basis for distinguishing the climate-neutral immanence of sustainable resource use of enterprises is the principles of the circular economy, inclusive development, and cross-sectoral interaction of enterprises. Considering this, the methodological prerequisites for the creation of agro-energy clusters include the principles of resource concepts, integration methods for incorporating the climate component into eco-energy security, optimization approaches to resource utilization, principles of transitivity in organizational innovation processes, and climate innovation in eco-energy management of enterprises. The assertion of climate-neutral immanence in sustainable resource utilization by enterprises indicates the formation of a climate paradigm of sustainable resource use in the energy market. Consequently, there is a need to conduct scientific investigations to define indicators for achieving systemic-process effects and to develop organizational-innovative tools for the management mechanism of functioning climate agro-energy clusters. [ABSTRACT FROM AUTHOR]

Promoting the mechanization of aquaculture is one of the most important supporting measures to ensure the high-quality development of the aquaculture industry in China. In order to solve the problems of predominantly manual work and to decrease the costs of aquaculture, the influencing factors of China's aquaculture mechanization were systematically analyzed. The triple bottom theory was selected, and three aspects were identified, including environmental, economic, and social aspects. Through the literature review, the Delphi method, and the analytic hierarchy process, the comprehensive evaluation indicator system, including 18 influencing factors, was proposed. Moreover, the fuzzy comprehensive evaluation method was combined with the model to solve the evaluation results. A case study in Liaoning Province was offered and, according to the analysis results, the economic aspect at the first level was the most critical factor; the financial subsidy for the purchase of aquaculture machinery, the energy consumption of the machinery and equipment, and the promotion and use of aquaculture technology were the most important factors and had the greatest impact on the development of aquaculture mechanization in China. The effective implementation paths and countermeasures were proposed, such as the promotion of mechanized equipment and the enhancement of the machinery purchase subsidies, in order to provide an important decision-making basis for the improvement of the level of aquaculture mechanization. [ABSTRACT FROM AUTHOR]

Energy supply and environmental capacity are important material foundations for social and economic development and constraints for scientific and sustainable development, and with achieving the strategic goals of carbon peak and carbon neutral at an early date, too. Therefore, the international community generally regards energy-economic- environment (3E) as a necessary research direction. This paper studies the relationship among effective energy utilization, economic growth protection and ecological environment protection by establishing the contribution rate model of energy consumption factors to economic GDP growth. At the same time, this paper puts forward the government needs to use carbon trading market, carbon tax, such as low carbon management mechanism based on the Pareto Optimality of carbon trading market, prompts the excess money of the country or the region back to actively invest in low-carbon production, lets more energy companies to clean energy and low carbon production transformation, and helps to achieve the goal of regional energy industry carbon neutral. [ABSTRACT FROM AUTHOR]

It is substantiated that the United States are present as the main actor in the global energy market in terms of both forming the supply of energy carriers and ensuring the stability of its functioning. It is found that in recent decades, the production of hydrocarbons in the United States has been regulated by the federal government, based on conjunctural fluctuations in the world hydrocarbon market and the reformatting of the centers of gravity in global energy flows. It is found that in 2010–2022 in the United States, despite the growth of hydrocarbon production, there was a decrease in the volume of investment support for the development of the oil and gas industry. It is proved that the reduction of investment injections into oil and gas production in recent years is due to the diversification of the investment portfolio of «hydrocarbon» TNCs and the change in priorities in the development of hydrocarbon reserves. It is identified that the diversification of the investment portfolio of oil and gas companies occurs through the transfer of financial flows to the development of alternative energy and giving priority to the implementation of small, less risky megaprojects, rather than excessively risky megaprojects. It is substantiated that the United States has formed a diversified investment landscape in the field of natural gas and oil production, which includes large transnational corporations, independent oil and gas companies, financial institutions, and private investment companies. It is agreed that one of the main priorities of investment support for hydrocarbon extraction projects is the extraction of shale gas, based on its significant reserves and taking into account the emergence of new niches in the capacious market of Western Europe as a result of the imposition of sanctions against oil and gas suppliers from terrorist countries. It is verified that an effective form of investment support for shale gas extraction are public-private partnership (PPP) agreements, which provide investment in the development of the infrastructure of technological and innovation centers, which are focused on the development of advanced technologies related to the exploration, production and use of this component of hydrocarbon raw materials. This creates conditions for gaining competitive advantages in the volatile and sensitive global oil and gas market.

With global warming and escalating environmental pressures, low-carbon development has become a consensus. Against this backdrop, this study proposes an innovative method for calculating the carbon emissions from electric traction of high-speed trains. Utilizing reverse power flow tracing technology, the method precisely determines the supply structure of high-speed railway traction stations, where the carbon emission factors of electricity vary at different times and locations due to changes in power grid dispatching and supply mix. This approach facilitates the construction of a finely-tuned dynamic model of carbon emission factors at the provincial, municipal, and traction station levels to calculate the carbon emissions from high-speed railway electric traction. Based on this model, the study conducts time-segmented calculations of carbon emissions, comprehensively capturing the dynamics of carbon emissions during the electric traction process of high-speed railways. A lateral comparison with traditional modes of travel, such as cars and airplanes, reveals that high-speed railways have a significant advantage in terms of per capita carbon emissions, furthering the scientific basis for promoting high-speed railways as a green mode of travel. In fact, empirical analysis results show that this method can accurately quantify the carbon emissions during the electric traction phase of high-speed railway operations, providing decision support for train operators to optimize their operational strategies, and offering passengers reference information for making more environmentally-friendly travel choices.

Promoting the mechanization of aquaculture is one of the most important supporting measures to ensure the high-quality development of the aquaculture industry in China. In order to solve the problems of predominantly manual work and to decrease the costs of aquaculture, the influencing factors of China’s aquaculture mechanization were systematically analyzed. The triple bottom theory was selected, and three aspects were identified, including environmental, economic, and social aspects. Through the literature review, the Delphi method, and the analytic hierarchy process, the comprehensive evaluation indicator system, including 18 influencing factors, was proposed. Moreover, the fuzzy comprehensive evaluation method was combined with the model to solve the evaluation results. A case study in Liaoning Province was offered and, according to the analysis results, the economic aspect at the first level was the most critical factor; the financial subsidy for the purchase of aquaculture machinery, the energy consumption of the machinery and equipment, and the promotion and use of aquaculture technology were the most important factors and had the greatest impact on the development of aquaculture mechanization in China. The effective implementation paths and countermeasures were proposed, such as the promotion of mechanized equipment and the enhancement of the machinery purchase subsidies, in order to provide an important decision-making basis for the improvement of the level of aquaculture mechanization.

It is determined that the conclusion in recent decades of a set of international environmental agreements related to the fight against global warming and the solution of other environmental problems on a planetary scale, forms the institutional basis for reviewing the priorities of investment activities in the field of environmental management on a global scale. The article discloses the modern global dimension of investment activity in the field of environmental management, taking into account the requirements of the world environment preserving architectonics and the challenges of transferring national economies to the model of low-carbon development. It is determined that the key feature of the modern format of global investment in the sphere of environmental management is a shift in emphasis from additional development of mineral reserves towards financial and investment support for the implementation of projects for the development of the renewable energy industry in accordance with key provisions of international environmental conventions, in particular the provisions of the New Climate Agreement. It is identified that the increase in the amount of financing for renewable energy projects in 2010–2022 was accompanied by an increase in the production of hydrocarbons, which is due to the further orientation of most developing countries to an extensive type of development, which provides for the additional involvement of fossil fuels in the economic and energy turnover. It is substantiated that the increase in investment inflows in renewable energy on a global scale is associated with the transition of national economies of a significant number of countries to the model of low-carbon development, which involves the use of a wide range of methods and tools to stimulate the processes of resource and energy saving, as well as the rejection of mineral fuels, in particular fossil solid fuels. It is determined that the positive trend in the dynamics of global financing of renewable energy is due to the growth of investments in projects to attract renewable sources for the production of various types of energy in developing countries, which are actually becoming key players in the transition to a model of low-carbon development with the support of international organizations and global climate funds.

It is substantiated that the intensification of the global environment protection movement in recent decades, the key component of which is the development of tools for transferring national economies to a model of low-carbon development, has had a decisive impact on the dynamics of investment in projects for the development of natural resource potential, primarily hydrocarbons. It has been found that the reduction of dependence of individual countries of the world on oil and natural gas directly depends on the diversification of energy sources to meet the needs of socioeconomic development through the development of the industry for the production of energy from renewable sources. It is proved that the decrease in the volume of production of hydrocarbons and energy carriers produced on its basis is an important factor in the transition of national economies to the model of low-carbon development, in particular, reducing the negative impact on climate processes. It is found that in the sector of «hydrocarbon» TNCs (BP, Shell and Chevron) during 2011–2022 there was a generally downward trend in the dynamics of investments in oil and natural gas production, which has led to significant conjunctural fluctuations in the global markets of hydrocarbons and to structural shifts in the energy balance of many countries of the world. It has been found that BP, Shell and Chevron, along with investing in oil and gas production, finance projects related to the production of energy from alternative sources, which has led to a reduction in capital injections into fossil fuel production and diversified the investment portfolio of these companies, minimizing the risks of reducing their capitalization in the context of diversification of the range of energy carriers in the global and national energy markets. It is proved that the decrease in the volume of investment in oil and gas production in the sector of «hydrocarbon» TNCs (BP, Shell and Chevron) has led to a reformatting of the global energy landscape and created additional prerequisites for increasing the amount of funding for alternative energy projects and solving a set of ecological and economic problems associated with the transition to a low-carbon development model.

With a vibrant economic development, Greater Kampala Metropolitan Area (GKMA) would need to boast low-carbon electricity generation, reduce carbon emissions, and re-structure transportation, yet having no energy management plan. The main objective of this study is to develop a comprehensive framework for analyzing energy impacts and macroeconomic effects of low-carbon scenarios and to identify a sustainable pathway towards 2050 for GKMA. The study uses TIMES/CGE hybrid framework to address the knowledge gap in 4 scenarios. Business as usual is the reference case with Kabejja (20% CO2 abatement), Carbon-Tax (100$/ton), and Lutta (95% CO2 abatement) as alternative scenarios. The analysis shows an increase in consumption from 139.6PJ to 469.35PJ and carbon emissions from 4.6mtns to 7mtns in the reference case. However, consumption and carbon emissions decrease in all the alternative scenarios compared to the reference case. The GDP and equivalent variation (EV) in household welfare increase in all alternative scenarios compared to the reference case. Lutta promises a 60.6% reduction in the carbon emissions intensity of GDP to be realistic. Sustainability is achievable when low-carbon electricity becomes the major contributor to the demand by fuel type, optimization of the total primary energy supply, and construction of an electrified Kampala metro. Transportation, Industrial and Residential sectors are the greatest emitters of CO2 by sector in all scenarios and thus need policy interventions to realize deep CO2 emissions reductions. The study recommends that Lutta guarantee a sustainable low-carbon footprint for GKMA.

The present paper reviews the hot topics at the 18th Conference on Sustainable Development of Energy, Water, and Environment Systems (SDEWES) held from 24 to 29 September 2023 in Dubrovnik, Croatia. The selected papers, including aspects of biomass energy application, energy saving in building, low-carbon development and climate change adaptation, hybrid application of sustainable energy, energy storage system, and other measures in sustainable development, are published in this Special Issue of Energies. The 12 selected papers in Energies and corresponding literature that relates to the above topics and has been published in the most recent year are reviewed. In particular, diversifying energy applications are trending towards comprehensive integration with more efficient clean energy capacities for global energy procurement, which can also offer increased resilience and sustainability, reduce reliance on fossil fuels, mitigate environmental impacts, and enhance energy security through a mix of renewable sources and innovative technologies. Meanwhile, energy storage has become increasingly important, which can manage the intermittent of renewable energy, stabilize the grid, and improve energy security and resilience against disruptions. In addition to conventional solar energy storage, biomass energy storage, building energy storage, water storage, etc., can also reduce the overall energy costs, deferring investments in additional transmission infrastructure.

As China’s “Dual Carbon” strategy is implemented and the new urbanization advances, balancing economic development, emission reduction, and carbon sequestration has become an important issue during the growth of emerging metropolitan areas, and it is also important for achieving high-quality urban development. Therefore, this study had three major objective functions: economic growth, carbon emission reduction, and increased carbon storage. The multi-objective land use quantity structure was solved using the Non-dominated Sorting Genetic Algorithm II (NSGA-II), and the best solution in the solution set was introduced using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for evaluation. Finally, combined with the Future Land Use Simulation (FLUS) model, the low-carbon evolution of the metropolitan area was predicted on a spatial scale. The trade-off plan results show that by 2035, the economic benefits will reach CNY 7.65 trillion, carbon emissions will be kept under 99.24 million tons, and carbon storage will steadily increase by 15.2 million tons. Therefore, optimizing land use from the perspective of balancing carbon emissions, carbon sequestration, and economic development can provide valuable references for planning low-carbon development and the rational use of spatial resources in future metropolitan areas.

This paper introduces a novel methodology for estimating carbon total factor productivity based on the Cobb–Douglas production function. The research method introduced in this article expands upon the framework for assessing total factor productivity through the Solow residual method. It unifies the conceptual and methodological aspects of carbon total factor productivity with those of single factor productivity. Utilizing panel data from various provinces between 2010 and 2021, we computed carbon total factor productivity to understand its implications for China in combating global climate change. We demonstrate that (i) we have introduced a method to handle negative coefficients in the Cobb–Douglas production function by incorporating productivity in lieu of input factors during calculations. (ii) Carbon total factor productivity, encapsulating the geometric weighted mean of labor, capital, and carbon productivity, holds notable economic relevance. Further, it serves as an integrative metric comprising carbon productivity intertwined with the mean labor and capital carbon factors. And (iii) the influence of carbon total factor productivity growth on economic progression remains relatively subdued, with escalating labor force growth posing detrimental effects on several provincial economies. Enhancing carbon total factor productivity emerges as an imperative to harmonize robust economic growth with strategic carbon curtailment. Our analytical framework provides nuanced perspectives on productivity determinants, accentuating the thrust towards sustainable evolution amidst climatic challenges. This investigation bears profound significance for policymakers endeavoring to sculpt a carbon-conscious economic paradigm in consonance with global climatic ambitions. [ABSTRACT FROM AUTHOR]

Resource-based cities are important strategic bases for securing resources in China and have made great contributions to the country's economic development. Long-term extensive resource development has made resource-based cities an important region constraining China from achieving comprehensive low-carbon development. Therefore, it is of great significance to explore the low-carbon transition path of resource-based cities for their energy greening, industrial transformation, and high-quality economic development. This study compiled the CO2 emission inventory of resource-based cities in China from 2005 to 2017, explored the contribution to CO2 emissions from three perspectives (driver, industry, and city), and predicted the peak of CO2 emissions in resource-based cities. The results show that resource-based cities contribute 18.4% of the country's GDP and emit 44.4% of the country's CO2 and that economic growth and CO2 emissions have not yet been decoupled. The per capita CO2 emissions and emission intensity of resource-based cities are 1.8 times and 2.4 times higher than the national average, respectively. Economic growth and energy intensity are the biggest drivers and main inhibitors of CO2 emissions growth. Industrial restructuring has become the biggest inhibitor of CO2 emissions growth. Based on the different resource endowments, industrial structures, and socio-economic development levels of resource-based cities, we propose differentiated low-carbon transition pathways. This study can provide references for cities to develop differentiated low-carbon development paths under the "double carbon" target. [ABSTRACT FROM AUTHOR]

In order to accomplish Sustainable Growth Goal 9, this research analyzes in detail how green technological innovation, low-carbon architectural improvement, and more significant financial growth all work together to reach the goal. This research meticulously integrates secondary data from reputable sources to examine the relationship between economic growth, technological innovation in the built environment, and environmental sustainability from 1994 to 2019. For economic insights, the World Bank's World Development Indicators is a go-to resource, while Yale University's Environmental Performance Index (EPI) is a go-to for environmental metrics. Our research is based on this synthesis of multi-dimensional data, which enables an in-depth investigation of the interplay between financial development, sustainable architecture, and technical progress toward SDG-9. This research employs quantitative and qualitative methodologies to shed light on the intricate interaction between these elements, making it useful for policymakers, scholars, and stakeholders dedicated to directing sustainable development paths. [ABSTRACT FROM AUTHOR]

The low-carbon development of the transportation sector is crucial for China to achieve its national goals of carbon peaking and carbon neutrality. Since China is a vast country with unbalanced regional development, there are considerable differences in the levels of carbon dioxide emissions from the transportation sector across regions. Therefore, revealing the influencing factors that shape the characteristics of transportation carbon dioxide emissions (TCO2) can inform tailored sub-national carbon reduction strategies based on local conditions, which is an important technical approach for achieving national goals. Based on an extended Kaya identity, we derived indicators of the impacts on provincial TCO2 from factors such as economic development, population density, energy structure, transportation efficiency, technology research and development (R&D), infrastructure construction, transportation operation conditions, and residents' transportation behavior. Using a multi-indicator joint characterization method, we explored the characteristics of provincial TCO2 in China in 2019. By applying Ward's method to hierarchical clustering, the thirty provinces of China were classified into six characteristic types (Types I to VI). Based on the total TCO2 (TC), the intensity of TCO2 (TI), and the per capita TCO2 (TP) calculated for each province in 2019, the priority control directions and indicators for carbon reduction in each type were obtained through relative relationships with provincial averages and correlation analysis with the indicators. Specifically, Type I and Type IV can be categorized as TP-controlled, Type II and Type III as TC-controlled, and Type V and Type VI as TI-controlled. Finally, we provided typological strategies and key performance indicators (KPIs) relevant to local governments to better achieve carbon reduction goals in each provincial type. It can promote cooperative development and collaborative governance in carbon reduction across regions and the unified implementation of China's dual-carbon goals. [ABSTRACT FROM AUTHOR]

The synergistic improvement in urban resilience and low-carbon development level is significant for mitigating and adapting to climate change, achieving the 'dual carbon goal' and promoting sustainable urban development. By constructing a comprehensive evaluation index system of urban resilience and low-carbon development, this study quantitatively measures the level of urban resilience and low-carbon development of the Central Plains Urban Agglomeration (CPUA) from 2009 to 2021. Further, the coupling coordination degree model and geographical detector explore the spatial and temporal evolution pattern and driving factors of the coupling and coordination (CCD) of urban resilience and low-carbon development. The results show the following: (1) From 2009 to 2021, urban resilience shows a good momentum of continuous rise, and the spatial distribution pattern is 'high in the northeast and low in southwest'. Low-carbon development is characterized by the development trend of 'first decline and then rise', forming a spatial distribution pattern of 'high in the south and low in the northwest'. (2) The CCD also shows a rising development trend. The type of coupling and coordination is mainly reluctant coordination. (3) The CCD shows a significant spatial correlation, and the degree of spatial agglomeration shows a downward trend. (4) The level of economic development and the level of scientific and technological innovation are the main two driving forces for the spatial differentiation of the coordinated development of the two systems. In addition, the explanatory power of the interaction of various influencing factors was significantly enhanced. In a word, this study was helpful to clarify further the spatial interaction between urban resilience and low-carbon development and also to provide experience and reference for low-carbon resilience construction and high-quality development of other urban agglomerations in the world. [ABSTRACT FROM AUTHOR]

State-owned enterprises (SOEs) encounter various constraints on sustainability in low-carbon development due to institutional hybridity. This study aimed to examine how SOEs develop sustainability-oriented innovation (SOI) toward low-carbon development. Drawing on a case study of Shanghai Metro, we developed a process model for sustainability-oriented low-carbon innovation (SLI) in SOEs. The model illustrated that implementing a national low-carbon strategy introduces environmental, social, and financial constraints on sustaining value pluralism for SOEs, triggering the actors to develop SLI involving sensing and idea generation, configuration, and transformation, resulting in innovative low-carbon operational processes, products/services, and business models which reconcile environmental benefits, financial returns, and social welfare. This paper enriches the emerging research on SOI and extends the existing understanding of low-carbon innovation. Beyond this, the findings also offer a new lens of SLI to the conventional research and managerial practices concerning SOEs' hybridity and low-carbon development. [ABSTRACT FROM AUTHOR]

The promulgation and execution of green credit (GC) policies have had a significant influence on the development of the economy and society, and their impact on low-carbon development (LCD) needs to be taken seriously. On the basis of elaborating the mechanism of the role of GC on LCD, this study constructs a panel fixed effects (FE) model to test the direct impact of GC on LCD by using Chinese provincial-level data from 2007 to 2020. An intermediary effect model is constructed to investigate its indirect effects. A dynamic SDM is further constructed to examine the spatial effects of GC on LCD in neighbouring regions. The results show that GC is helping China to achieve LCD. GC can promote LCD through promoting green innovation, optimizing energy structure and upgrading industrial structure. It is crucial to acknowledge that all three pathways are essential channels of influence and should not be disregarded. GC not only fosters LCD in the local areas, but also has a positive spatial spillover effect in adjacent regions. Based on the above conclusions, this study proposes policy recommendations such as increasing support for GC, smoothing the transmission channel from GC to LCD, and establishing a synergistic linkage mechanism between interregional credit and environmental governance. This study provides valuable insights for China to realize LCD, as well as for other countries to actively engage in energy conservation and emission reduction efforts. [ABSTRACT FROM AUTHOR]

Objectives: The transition to a low-carbon and sustainable energy system is essential to combating climate change and ensuring the long-term viability of the global energy industry. Smart grid technologies are emerging as a transformative force in this transition. This research explores the multifaceted impact of smart grid technologies on the new energy industry and evaluates the influence of policies and regulations in shaping its development. Methods: The study employs a mixed-method approach, combining quantitative analysis of key performance indicators (KPIs) and a qualitative examination of stakeholder perspectives. The quantitative analysis focuses on the impact of smart grids on renewable energy penetration, carbon emissions, and energy efficiency. The qualitative analysis draws on interviews with experts from industry, academia, and government to gain insights into the role of policies and regulations in driving smart grid development. Results: The quantitative analysis reveals a significant increase in renewable energy penetration, a reduction in carbon emissions, and enhanced energy efficiency in regions with high smart grid adoption. These findings indicate the substantial impact of smart grid technologies in facilitating the transition to a clean and sustainable energy system. The qualitative analysis highlights the role of policies and regulations in driving the growth of renewable energy capacity, reducing carbon emissions, and creating jobs in the new energy industry. Supportive regulatory frameworks have been instrumental in stimulating investment in smart grid technologies and renewable energy projects. A regression analysis was conducted to shed light on the impact of sustainability indicators, economic assessments, and renewable energy capacity on carbon emissions. The analysis shows that these variables significantly influence carbon emissions, providing insights for policymakers and industry stakeholders. Conclusion: The findings of this study underscore the importance of smart grid technologies and supportive regulatory frameworks in facilitating sustainable energy development. Smart grid technologies play a critical role in enabling the integration of renewable energy into the grid, improving energy efficiency, and reducing carbon emissions. Governments and industry stakeholders should collaborate to accelerate the deployment of smart grid technologies and create a supportive policy environment for the new energy industry.Research and development should be funded for innovative smart grid technology.

The carbon peaking and carbon neutralization goals have brought significant pressure and challenges to China’s civil aviation industry. Research on carbon reduction strategies for the industry has attracted great attention from China and abroad. This study summarizes the development status of and requirements for the low-carbon development of the global aviation industry (particularly commercial aircrafts), analyzes the carbon reduction status and problems of China’s civil aviation industry, and proposes corresponding development goals and basic ideas. Through industrial planning, product innovation, low-carbon energy utilization, and airline operation, carbon neutralization of China’s civil aviation industry is expected to be achieved by 2060, thus to form a green and low-carbon development pattern. Technological innovation is the key driving force for promoting the low-carbon transformation of the civil aviation industry. Therefore, we propose the following suggestions: planning the development and key technology research of low-carbon commercial aircrafts, accelerating the commercial application of sustainable aviation fuels, and developing intelligent aviation to promote low-carbon operations.

The successful development of the Arctic zone of the Russian Federation is directly related to the reliable and efficient operation of local heat supply systems, including those with minimal anthropogenic impact on the environment. Today, the Arctic zone of the Russian Federation uses mainly imported fossil fuels for heat generation, most of which (with the exception of coal and wood in some places) are delivered from other regions of Russia, which is associated with great financial difficulties and complicated logistics of fuel delivery to consumers. On the example of Teriberka settlement, located in the Murmansk region on the coast of the Barents Sea, it is shown that one of the solutions to these problems can be the use of wind turbines for heat supply needs together with the local boiler house, operating on organic fuel. The main effect from the use of wind power plants is expressed in the reduction of the boiler house participation in covering the heating load schedule of Teriberka settlement by 7580% and, accordingly, by the same amount in saving fossil fuel consumed at the boiler house, as well as in reducing the negative impact on the natural environment.

Taiwan’s encouragement of installing solar photovoltaic power plants (SPPPs) on warehouse rooftops is a step towards sustainability and profitable investment. This study, analyzing the installations of STY Company, found that rooftop SPPPs significantly boost revenue, with rates increasing from 2.0088% to 6.8681% over 20 years. The break-even point is in the 7th year, with a return rate ranging from 2.0088 to 2.1748%. This shows that SPPP investments are a benefit for investors, shortening construction times and allowing warehouses to sell solar energy at an earlier date. This research utilized a fuzzy nonlinear multi-objective programming model to examine trade-offs between construction time, cost, quality, and revenue (TCQR) to optimize SPPP construction. The findings suggest that reducing construction time is an effective strategy to lower carbon emissions despite potential cost increases. However, time and quality costs are inversely proportional, highlighting the importance of efficient project management in minimizing the impacts of this trade-off. Adjusting funding can maintain quality while speeding up construction. Completing projects early also heightens revenue from green energy sales, offsetting higher initial investments. The TCQR focuses on investment revenue, managing time efficiently, and making data-driven decisions to expedite SPPP development. This model improves project profitability and promotes sustainable growth by reducing construction time and optimizing financial strategies. This study’s contribution includes: 1. Optimizing the installation process of warehouse rooftop SPPPs, which provide significant long-term revenue and environmental benefits. 2. Combining the different research methods of scholars into fuzzy methods that can solve complex systems with high uncertainty. The nonlinear model put forth by this study is closer to the actual situation and can handle balancing complex problems in multi-objective programming. 3. Improving the efficiency of time management to make it feasible to reduce construction time to lower carbon emissions. 4. Concocting a comprehensive approach integrating financial, environmental, and operational factors for successful SPPP development. This study addresses an academic gap. Previously, scholars conducted research independently, focusing solely on financial investment or time, cost, and quality (TCQ) issues without considering the two together. By combining financial investment with TCQ, this study fills a significant gap in academic research. According to this study, better investment returns could improve the promotion of solar energy. Unlike previous research, this study integrates the analysis of TCQ with that of revenue by assessing costs and revenues together. This approach allows decision-makers to derive judgments from the TCQR model quickly.