Search Results (573)

South Korea faces high levels of air pollution and is currently not on track to meet its transport sector 2030 and 2050 greenhouse gas emission reduction targets primarily due to infrastructural limitations. This study examines the potential health benefits of a more rapid green transition of South Korea’s transport sector from 2026 to 2050 in terms of avoided premature deaths and years of life lost due to reduced ambient PM_2.5 exposure. The research conducts a scenario analysis comparing the business-as-usual trajectory of the transport sector with two alternative scenarios. In the first alternative scenario, South Korea’s transport sector achieves its 2030 NDC in 2035 and carbon neutrality in 2050 with a reliance on CCUS for emission capture. The second alternative scenario entails stronger climate action in which the transport sector meets the 2030 NDC target in 2030 and the 2050 carbon neutrality transport sector target through a complete green transition to electric vehicles and hydrogen vehicles. The first alternative scenario results in an average of 80 avoided premature deaths (775 avoided years of life lost) and 53 MTCO₂e avoided emissions per year from 2026 to 2050. The second more rapid green transition scenario of South Korea’s transport sector achieves an average of 96 avoided premature deaths (925 avoided years of life lost) and 66 MTCO₂e avoided emissions per year. This research supports a more rapid green transition of South Korea’s transport sector for both health and climate gains. Full article

The equilibrium between electricity demand and consumption is vital to ensure the stability of the transmission and distribution systems grid (TS & DS) and to ensure the stable operation of the electrical system. The aim of this review study is to highlight the current legislative and technical situation and the possibilities for managing peak loads, decentralization, sharing, storage, and sale of electricity generated from renewable sources in Slovakia. The European Union′s (EU) goal of achieving carbon neutrality by 2050 and a minimum of 42.5% renewable energy consumption by 2030 brings with it obligations for individual member states. These are transposed into national strategies. The current share of renewable sources in Slovakia is approximately 24% and the EU target by 2030 is probably unrealistic. Water resources are practically exhausted; other possibilities for increasing the share of renewable energy sources (RES) are in photovoltaics, wind, and thermal sources. Due to long-term geographical and historical development, electricity production in Slovakia is based on large-scale solutions. The move towards decentralization requires legislative and technical support. The review article examines the possibilities of increasing the share of RES and energy sharing in Slovakia, and examines the legislative, economic, and social barriers to their wider application. At the same time as the share of renewable sources in electricity generation increases, the article examines and presents solutions capable of ensuring the stability of electricity networks across Europe. The study formulates diversified strategies at the distribution network level and the consumer and building levels, and identifies physical (various types of electricity storage, electromobility, electricity liquidators) and virtual (electricity sharing, energy communities, virtual batteries) solutions. In conclusion, it defines the necessary changes in the legislative, technical, social, and economic areas for the most optimal improvement of the situation in the area of increasing the share of RES, supporting the decentralization of the electric power industry, and sharing electricity in Slovakia, also based on experience and good examples from abroad. Full article

To achieve the carbon neutrality target, China has proposed “dual control” policies on provincial energy consumption. However, inter-provincial trade drives significant embodied energy flows beyond local demand. How do we identify key energy consumers driving through other provinces? And how does energy, especially from coal, flow to other provinces? Current studies analyzed regional and sectoral energy flow, which are always separated. And seldom was attention paid to coal flow. Intending to identify the critical energy-consuming province in China and investigate how energy and coal flow out from it, this study applied the EE-MRIO model to measure energy and coal embodied in provincial trades. The results suggest the following: (1) The energy embodied in provincial trade was mostly from energy-rich regions to provinces that lacked energy but had developed economies. Shanxi is a critical embodied-energy export province; (2) neighboring provinces and economically developed provinces drive the most embodied energy from Shanxi, and embodied energy mainly flows from the energy sectors and high-energy-intensity sectors; and (3) the provincial and sectoral coal flow in Shanxi presents consistent characteristics of embodied energy flow. We contributed to understanding the energy equity affected by embodied energy flow and propose energy consumption as a relieving measure. Full article

The large-scale utilization of wind and solar energy is crucial for achieving carbon neutrality targets. However, as extensive wind and solar power generation is integrated via power electronic devices, the inertia level of power systems continues to decline. This leads to a significant reduction in the system’s frequency regulation capability, posing a serious threat to frequency stability. Optimizing the system is an essential measure to ensure its safe and stable operation. Traditional optimization approaches, which separately optimize transmission and distribution systems, may fail to adequately account for the variability and uncertainty of renewable energy sources, as well as the impact of inertia changes on system stability. Therefore, this paper proposes a two-layer optimization method aimed at simultaneously optimizing the operation of transmission and distribution systems while satisfying minimum inertia constraints. The upper-layer model comprehensively optimizes the operational costs of wind, solar, and thermal power systems under the minimum inertia requirement constraint. It considers the operational costs of energy storage, virtual inertia costs, and renewable energy curtailment costs to determine the total thermal power generation, energy storage charge/discharge power, and the proportion of renewable energy grid connection. The lower-layer model optimizes the spatiotemporal distribution of energy storage units within the distribution network, aiming to minimize total network losses and further reduce system operational costs. Through simulation analysis and computational verification using typical daily scenarios, this model enhances the disturbance resilience of the transmission network layer while reducing power losses in the distribution network layer. Building upon this optimization strategy, the model employs multi-scenario stochastic optimization to simulate the variability of wind, solar, and load, addressing uncertainties and correlations within the system. Case studies demonstrate that the proposed model not only effectively increases the integration rate of new energy sources but also enables timely responses to real-time system demands and fluctuations. Full article

Background/Objectives: Healthcare accounts for approximately 4.4% of global carbon emissions. Gastroenterology is a particularly heavy producer, with professional organisations outlining targets to move towards carbon neutrality. Missed hospital appointments, associated with poor medical outcomes, also represent physical and economic waste to the sector. COVID-19 expedited the shift toward virtual clinics, but tele-diagnostics have not expanded similarly. We aimed to assess the feasibility of a virtual C13 urea breath test clinic for H. pylori in Ireland. Methods: C13 urea breath test kits were provided to patients in the community, who were subsequently invited to book an online video appointment with a GI lab technician to assist them in performing the test at home. Completed tests were returned to the hospital via local GP, by post, or a specified hospital drop-off point, and analysed using our standard protocol. Results: 423 virtual appointments were reviewed. 135 (32%) were male, and the mean age was 42 years. The test positivity rate was 22%, similar to a matched in-person testing cohort (21%). In all, there were no non-attenders, and two cancellations. Virtual patients were more likely to attend their appointments (OR = 153.9, p = 0.0004) than in-person patients. Virtual UBT appointments saved 9943.5 Km of road journeys, equivalent to 254 person-hours of travel time and 1.24 metric tonnes of CO₂. Additionally, 300 (71%) patients returned a feedback questionnaire, of which 276 (92%) rated the overall home breath test experience as ‘good’ or ‘excellent’. Conclusions: Home testing for H. pylori is effective, acceptable, and reduces both reliance on invasive procedures such as endoscopy and carbon emissions. Full article

To achieve carbon peak and neutrality goals and promote sustainable development, the power sector, as China’s largest source of carbon emissions, is the first industry to implement the national carbon emission trading scheme (ETS). A differences-in-differences model is employed on firm-level data to assess the causal impact of China’s national ETS, launched in 2017, on the sustainable technology progress of power generation enterprises. This study employs green patents and total factor productivity as measures for sustainable technology progress and then explores mechanisms and heterogeneity of the impact. Results show that: (1) The national ETS has a positive effect on green innovation capability and efficiency in the power industry, and the increasing causal effect is mainly achieved through research and development expenditure. (2) The national ETS exerts a more significant positive effect on power generation enterprises that are non-state-owned, have smaller asset scale, demonstrate superior environmental performance, and are located in the eastern region. However, there is no significant difference in total factor productivity across power enterprises. (3) Green innovations are predominantly concentrated in new energy and hybrid power generation enterprises. This study contributes to the literature by providing novel empirical evidence from China’s national ETS, highlighting its dual impact on innovation and productivity within a unified framework. The findings not only offer targeted recommendations for China’s power sector but also serve as an important reference for other high-emitting industries and other regions worldwide facing the same challenges in their pursuit of sustainable development. Full article

In the current context of the international climate agenda, understanding both the sources of greenhouse gas (GHG) emissions and the mechanisms for their mitigation is a fundamental requirement for low-carbon development strategies. Kazakhstan has pledged to reduce its GHG emissions by 15–25% by 2030, relative to 1990 levels, and to achieve carbon neutrality by 2060. However, there is no unified methodology for comprehensively assessing the national carbon balance, particularly at the regional scale. This study addresses this gap by analyzing GHG emissions and carbon sequestration capacities across Kazakhstan’s regions using a sectoral disaggregation approach and scenario-based modeling aligned with IPCC methods. Emission hotspots were identified in the energy sector (328 MtCO₂-eq), agriculture (118 MtCO₂-eq—primarily from pasturelands), and transport (7 MtCO₂-eq). In contrast, current carbon sinks—mainly forest ecosystems and abandoned pasturelands—account for only 3.97 and 13.9 MtCO₂-eq, respectively. The research evaluates the technical potential for emissions reduction through the best available technologies (BAT), livestock management, partial transition to gas-powered vehicles, and reforestation. A geoengineering scenario combining all measures suggests that Kazakhstan could meet its 2030 climate targets, although full carbon neutrality by 2060 would remain out of reach under current policy trajectories. The Akmola region is examined as a representative case study, demonstrating a possible 35% reduction in net emissions by 2035. This work contributes a regionally nuanced, data-driven framework for integrating ecosystem services into national climate policy and identifies nature-based solutions—especially forest management—as essential components of Kazakhstan’s decarbonization pathway, offering insights for other carbon-intensive economies. Full article

As nations worldwide commit to carbon neutrality targets in response to accelerating climate change, the spatial modeling of carbon emissions has emerged as an indispensable tool for policy implementation and assessment. This paper presents a systematic review of the field from bibliometric and methodological perspectives. We synthesize key developments in spatial allocation techniques, data-driven models, and emission characterization methods. A central focus is the transformative role of geospatial big data in improving model accuracy and applicability, particularly how fine-grained, high-resolution modeling enhances the efficacy of emission reduction strategies. Our analysis reveals several key conclusions. First, the literature on carbon emission spatial modeling is expanding rapidly, with a discernible shift in focus from coarse, large-scale assessments toward more granular analyses that are sector-specific, high-resolution, and multidimensional. Second, hybrid models that integrate top-down and bottom-up approaches are now the predominant strategy for enhancing both accuracy and applicability; coupling mechanistic models with machine learning techniques effectively reconcile macro-scale data consistency with micro-scale heterogeneity. Third, the integration of geospatial big data is revolutionizing the field by providing the high-resolution, multidimensional, and dynamic inputs necessary to transition from macro- to micro-scale analysis. This is particularly evident in fine-grained assessments of urban systems—including spatial functions, morphology, and transportation networks—where such data dramatically improve the characterization of emission sources, intensities, and their spatiotemporal heterogeneity. This study ultimately elucidates the critical role of fine-grained modeling in advancing the quantitative understanding of carbon emission drivers, enabling robust scenario simulations for carbon neutrality, and informing effective low-carbon spatial planning. The synthesis presented here aims to provide a firm theoretical and technical foundation to support the ambitious carbon reduction targets set by nations worldwide. Full article

Low-carbon development is closely linked to the concept of sustainability, which focuses on both economic growth and the targeted reduction of greenhouse gas (GHG) emissions, facilitating the transition to climate neutrality. This process involves the efficient use of resources and necessitates systemic transformations across various sectors of the economy. For Latvia to achieve its climate neutrality objectives, it is essential to adhere to the principles of the bioeconomy, with a particular emphasis on the use of timber in construction. This approach combines opportunities for economic development with environmental protection, as timber is a renewable resource that contributes to carbon sequestration. The utilisation of timber in construction enables carbon storage within buildings and substitutes traditional materials such as concrete and steel, the production of which is highly energy-intensive and generates substantial CO₂ emissions. Consequently, timber use also reduces indirect emissions associated with the construction sector. The objective of this study is to identify the main barriers hindering the broader application of timber construction materials in Latvia’s building sector and to propose solutions to overcome these obstacles. The research tasks include an analysis of climate neutrality and construction targets within the EU and Latvia; an examination of the current situation and influencing factors regarding Latvia’s forest resources, their harvesting, processing, use in construction, and trade balance; and the identification of critical problem areas and the delineation of possible solutions. For theoretical and situational analyses, the authors employ methods such as scientific literature review, policy content analysis, descriptive methodology, statistical data analysis, and interpretation of quantitative and qualitative data. The results are synthesised using PESTEL analysis, which serves as a continuation and elaboration of the initial SWOT analysis assessment and is visualised through graphical representation. The authors of this study participated in a national-level expert group whose members represented the Parliament of the Republic of Latvia, responsible ministries, forest managers, construction companies, wood product manufacturers, and representatives from higher education and research institutions. The following hypotheses are proposed and substantiated in this article: (1) Latvia possesses sufficient forest resources to increase the share of timber used in construction, (2) increasing the use of timber in construction would significantly contribute to both Latvia’s economic development and the achievement of climate neutrality targets, and (3) the expansion of timber use in the construction sector depends on a restructuring of national policy across multiple sectors. Suggested solutions include the improvement of regulatory frameworks for timber harvesting, processing, and utilisation in related sectors—agriculture and forestry, wood processing, and construction. The key challenges for policymakers include addressing the identified deficiencies in Latvia’s progress toward achieving its CO₂ targets, introducing qualitative changes in timber harvesting conditions, and amending regulations governing the forest management cycle accordingly. For timber processing companies, it is crucial to ensure stable conditions for their commercial activity. Promoting the use of timber in construction requires a broad set of changes in safety and financial regulations and procurement requirements. Timber construction is relevant not only in the building sector but also in civil engineering, and modifications and additions to educational programmes are necessary. The promotion of timber use among the wider public is of great importance. At all stages of timber processing—from harvesting to integration in buildings—access to financial resources should be facilitated. As numerous sectors of the national economy (agriculture, forestry, wood processing, construction, logistics, etc.) are involved in timber processing, interdisciplinary research is required to address complex challenges that demand expertise from multiple fields. Full article

Methane (CH₄), the second-largest global greenhouse gas and a key driver of tropospheric ozone formation, critically influences climate change and air quality. As the world’s largest CH₄ emitter, China must develop targeted mitigation strategies to support its carbon peak and neutrality goals while reducing ozone pollution. Here, we analyzed the spatiotemporal evolution of provincial CH₄ emissions in China from 2000 to 2023 using spatial autocorrelation, hotspot detection, trend analysis, and K-means clustering. Our results revealed a triphasic emission trajectory—rapid growth followed by stabilization and a recent resurgence—with all provinces except Tibet showing increasing trends. The energy sector emerged as the primary contributor, particularly in Inner Mongolia, Shanxi, and Shaanxi, whereas agricultural emissions dominated in pastoral regions, such as Inner Mongolia and Sichuan, and rice-growing areas, such as Hunan and Hubei. Coastal provinces, including Shandong, Jiangsu, and Guangdong, exhibited waste disposal as their predominant CH₄ source. Based on these patterns, we classified the emission zones into four distinct typologies: coal-dominant, waste-dominant, oil-agriculture composite, and multifactorial systems, proposing tailored mitigation frameworks that integrate CH₄ and ozone co-reduction. This study provides a spatially resolved foundation for synergistic climate and air quality governance in China. Full article

The spatial–temporal pattern, influencing factors and driving variables of carbon emissions are essential considerations for achieving China’s carbon peak and neutrality targets, which support high-quality development. This study was designed to explore and evaluate the spatial–temporal evolutionary characteristics, trends and main influencing factors of carbon emissions in the Yangtze River Economic Belt (YREB), focusing on the decoupling of carbon emissions and socioeconomic development in the YREB. In total, 11 provinces and key cities were focused on as the research objects of the YREB district Tapio decoupling model, which examined the decoupling relationship between carbon emissions and socioeconomic development. Combined with a geographic detector, the Tapio, Logarithmic Mean Divisia Index (LMDI) and gray prediction models were employed in a comprehensive evaluating pipeline, which was constructed to decouple the main influencing factors and corresponding impacts of carbon emissions. Particularly, the gray prediction model was employed to predict the carbon emission differences in the YREB sub-regions in 2030. The results indicated the following: (1) The total carbon emissions showed a periodic fluctuation and upward trend with obvious spatial differences, and energy consumption was mainly dominated by coal. (2) The center of carbon emissions was located in Hubei Province in the middle reaches of the Yangtze River, with a standard deviation ellipse showing a “Southwest–Northeast” trend, and most provinces were concentrated in the L-H (low-high) cluster. (3) The entire YREB had achieved carbon emissions decoupling, but it was mainly in a weak decoupling state. (4) Carbon emissions were significantly affected by the indicator E for economic growth, with the indicators EI for energy consumption and I for the added ratio of GDP also bringing greater impacts on carbon reduction contributions. The carbon emission prediction results indicated that the upper and middle reaches of the YREB were more likely to achieve carbon neutrality. Full article

The transition toward renewable-powered greenhouse agriculture offers opportunities for reducing operational costs and environmental impacts, yet challenges remain in managing fluctuating energy loads and optimizing agricultural inputs. While second-life lithium-ion batteries provide a cost-effective energy storage option, their thermal and electrical characteristics under real-world greenhouse conditions are poorly documented. Similarly, although plasma-activated water (PAW) shows potential to reduce chemical fertilizer usage, its integration with renewable-powered systems requires further investigation. This study develops an adaptive monitoring and modeling framework to estimate the thermal resistances (R_u, R_c) and internal resistance (R_int) of second-life lithium-ion batteries using operational data from greenhouse applications, alongside a field trial assessing PAW effects on beefsteak tomato cultivation. The adaptive control algorithm accurately estimated surface temperature (T_s) and core temperature (T_c), achieving a root mean square error (RMSE) of 0.31 °C, a mean absolute error (MAE) of 0.25 °C, and a percentage error of 0.31%. Thermal resistance values stabilized at R_u ≈ 3.00 °C/W (surface to ambient) and R_c ≈ 2.00 °C/W (core to surface), indicating stable thermal regulation under load variations. Internal resistance (R_int) maintained a baseline of ~1.0–1.2 Ω, with peaks up to 12 Ω during load transitions, confirming the importance of continuous monitoring for performance and degradation prevention in second-life applications. The PAW treatment reduced chemical nitrogen fertilizer use by 31.2% without decreasing total nitrogen availability (69.5 mg/L). The NO₃⁻-N concentration in PAW reached 134 mg/L, with an initial pH of 3.04 neutralized before application, ensuring no adverse effects on germination or growth. Leaf nutrient analysis showed lower nitrogen (1.83% vs. 2.28%) and potassium (1.66% vs. 2.17%) compared to the control, but higher magnesium content (0.59% vs. 0.37%), meeting Japanese adequacy standards. The total yield was 7.8 kg/m², with fruit quality comparable between the PAW and control groups. The integration of adaptive battery monitoring with PAW irrigation demonstrates a practical pathway toward energy efficient and sustainable greenhouse operations. Full article

This study develops and operationalizes a multi-dimensional framework for sustainable building retrofit that aligns with national 2050 net-zero objectives. First, we conduct a scoping review of international standards (e.g., ISO), sustainability reporting guidelines (GRI G4), and peer-reviewed studies to define an indicator system spanning three pillars—environmental (carbon neutrality, resource circulation, pollution management), social (habitability, durability/safety, regional impact), and economic (direct support, deregulation). Building on this structure, we propose a transparent 0–3 rubric at the sub-indicator level and introduce the Sustainable Building Retrofit Index (SRI) to enable cross-case comparability and over-time monitoring. We then apply the framework to seven countries (United States, Canada, United Kingdom, France, Germany, Japan, and South Korea), score their retrofit systems/policies, and synthesize results through radar plots and a composite SRI. The analysis shows broad emphasis on carbon neutrality and habitability but persistent gaps in resource circulation, pollution management, regional impacts, and deregulatory mechanisms. For South Korea, policies remain energy-centric, with relatively limited treatment of resource/pollution issues and place-based social outcomes; economic instruments predominantly favor direct financial support. To address these gaps, we propose (i) life-cycle assessment (LCA)–based reporting that covers greenhouse gas and six additional impact categories for retrofit projects; (ii) a support program requiring community and ecosystem-impact reporting with performance-linked incentives; and (iii) targeted deregulation to reduce uptake barriers. The paper’s novelty lies in translating diffuse sustainability principles into a replicable, quantitative index (SRI) that supports benchmarking, policy revision, and longitudinal tracking across jurisdictions. The framework offers actionable guidance for policymakers and a foundation for future extensions (e.g., additional countries, legal/municipal instruments, refined weights). Full article

Rising household carbon emissions (HCEs) substantially increase residential energy consumption. This review evaluates the four principal quantification methods: Emission Coefficient Method (ECM), Input–Output Analysis (IOA), Consumer Lifestyle Approach (CLA), and Life Cycle Assessment (LCA). The methods are compared according to data requirements, uncertainty levels, and scale suitability. The study synthesizes multidimensional determinants—including household income, household size, urbanization, energy intensity and composition, population aging, and household location—and translates these insights into behavior-informed mitigation pathways grounded in behavioral economics principles. Combining compact-city planning, targeted energy-efficiency incentives, and behavior-nudging measures can reduce HCEs without compromising living standards, providing local governments with an actionable roadmap to carbon neutrality. Full article

As China advances toward its 2060 carbon neutrality goal, the electrification of inland waterway shipping has emerged as a strategic pathway for reducing emissions. This study constructs a 2025–2060 dynamic material flow analysis framework that integrates three core dimensions: (1) all-electric ships (AES) diffusion, estimated via a GDP-elasticity model and carbon emission accounting; (2) battery technology evolution, including lithium iron phosphate and solid-state batteries; and (3) recycling system improvements, incorporating direct recycling, cascade utilization, and metallurgical processes. The research sets up three AES penetration scenarios, two battery technologies, and three recycling technology improvement scenarios, resulting in seven combination scenarios for analysis. Through multi-scenario simulations, it reveals synergistic pathways for resource security and decarbonization goals. Key findings include that to meet carbon reduction targets, AES penetration in inland shipping must reach 25.36% by 2060, corresponding to cumulative new ship constructions of 51.5–79.9k units, with total lithium demand ranging from 49.1–95.9 kt, and recycling potential reaching 5.4–25.2 kt. Results also reveal that under current allocation assumptions, the AES sector may face lithium shortages between 2047 and 2057 unless recycling rates improve or electrification pathways are optimized. The work innovatively links battery tech dynamics and recycling optimization for China’s inland shipping and provides actionable guidance for balancing decarbonization and lithium resource security. Full article