Emission Intensity Research Articles

The Determinants of Greenhouse Gas Emissions Intensity in Global Value Chains1

This paper tracks the greenhouse gas emissions intensity embedded in global value chains observing 186 countries from 1990 to 2015 and then looks at the determinants of emissions intensity considering both country and sector-level variables in a gravity-like framework. Our graphical visualization displays that as expectedly, developed countries appear to be both major GHG emissions producers and outsourcers in the highly fragmented world. Indeed, China, the USA, Germany, Japan, and Russia are the top five countries in terms of greenhouse gas emission intensities embedded in trade flows. Moreover, our empirical results reveal that while higher capital stock is attributable to higher greenhouse gas emissions intensity embedded in GVCs, the renewable energy consumption of sectors can be seen as an emissions intensity-decreasing factor. While higher income levels seems to deteriorate environmental quality, regional or global integration in trade agreements seems to be consistent with the current increasing efforts and concerns regarding environmental issues. Given the current trajectory and the findings of this article; encouraging renewable energy usage in the production process, monitoring detrimental trade and production activities, and cost-sharing plans between exporters and importers should be carefully considered to decrease GHG emissions intensities.

Emissive Bovine Serum Albumin‐Templated Osmium Nanoclusters: Synthesis and Optical Characterization

Synthesis of new nanomaterials with unique optical properties is of great importance in different fields such as energy, material science, and biomedicine. Here, for the first time, we report the synthesis of the emissive osmium nanoclusters (OsNCs) using bovine serum albumin (BSA) as template and sodium borohydride as strong reducing agent. The as‐synthesized emissive OsNCs had only 31 atoms, with deep‐blue color emission with an emission maximum at 415 nm and a photoluminescence quantum yield (PLQY) of 2.5%. The fluorescence emission of OsNCs could be attributed to the smaller number of atoms (31) in the as‐synthesized OsNCs in this work. The optical characterization of the emissive OsNCs revealed that the fluorescence intensity was more sensitive to pH than with temperature of the solution. When pH was increased from 1 to 12, there was 6‐fold increase in the emission intensity. We believe that the presented synthesis route as well as the results of this work could open new avenues to further investigate the OsNCs as new emissive nanomaterials and their potential applications in biomedical and energy fields.

Synergistic Intramolecular Charge Transfer Promotes Au Nanoclusters with Enhanced NIR-II Photoluminescence.

Gold nanoclusters (Au NCs) protected by molecular ligands represent a new class of second-generation near-infrared (NIR-II) luminescent materials that have been widely studied. However, the photoluminescence efficiencies of most NIR-II emitting Au NCs in aqueous solution are generally lower than 0.2%, and to fully exploit the advantages of AuNCs in the NIR-II region, improving their photoluminescence efficiency has become an urgent need. Considering the holistic nature of the core-shell structure of Au NCs, herein, we propose a synergistic intramolecular charge transfer (ICT) strategy to enhance the luminescence. The NIR-II fluorescence quantum yield of Au NCs was increased 6-fold to 5.59% by the synergistic effect of heteroatomic copper doping and ligand p-MBA deprotonation. Experimental characterization results show that the strong p-π conjugation between d10 metal and the deprotonated p-MBA enhances the charge transfer between the metal core and ligand. The synergistic ICT process strongly suppressed the nonradiative process, thereby enhancing the emission intensity. Our findings provide a facile method for understanding the integrity of the core-shell structure of Au NCs and regulating their photoluminescence properties.

Super-Resolved Mapping of Electrochemical Reactivity in Single 3D Catalysts.

Crystals with three-dimensional (3D) stereoscopic structures, characterized by diverse shapes, crystallographic planes, and morphologies, represent a significant advancement in catalysis. Differentiating and quantifying the catalytic activity of specific surface facets and sites at the single-particle level is essential for understanding and predicting catalytic performance. This study employs super-resolution radial fluctuations electrogenerated chemiluminescence microscopy (SRRF-ECLM) to achieve high-resolution mapping of electrocatalytic activity on individual 3D Cu2O crystals, including cubic, octahedral, and truncated octahedral structures. With a spatial resolution below 100 nm, SRRF-ECLM precisely delineates the contours of Cu2O crystals, enabling detailed analysis of activity distribution across distinct facets and interfaces. By quantitatively measuring ECL emission intensities from different planes and joint interfaces, we constructed 3D catalytic activity distributions, offering an intuitive and comprehensive perspective of single-catalyst activity. This approach advances single-particle electrochemical analysis and provides valuable insights for designing more efficient catalysts in energy conversion and chemical synthesis applications.

Spatial Temporal Differences in Carbon Emissions from Land-Use Change and Carbon Compensation in Gansu Province, China

This study employs land use and energy consumption data from Gansu Province spanning the years 2005 to 2020 and utilizes models to estimate carbon emissions and the corresponding carbon compensation values. The research calculated the carbon emissions and compensation for various administrative regions over different time periods, revealing the following insights: (1) There is a notable increasing trend in net carbon emissions due to land-use changes in Gansu Province, characterized by an initial swift rise, followed by a more gradual growth pattern. Construction land is identified as the primary contributor to carbon emissions, increasing from 26 million tons in 2005 to 55.3 million tons in 2020, which is an increase of 1.80 times; meanwhile, forested areas, as significant carbon sinks, show a slight increase in carbon absorption from 2.33 million tons in 2005 to 2.35 million tons in 2020. (2) The municipalities with high net carbon emissions are predominantly Lanzhou, Qingyang City, and Jiuquan City, which are marked by high levels of carbon emissions and low compensation rates. In contrast, regions with lower net carbon emissions are mainly found in the Gannan Tibetan Autonomous Prefecture, where emissions are minimal and compensation rates are relatively high. A similarity in the spatial distribution patterns of both net carbon emission intensity and total net carbon emissions is observed among these cities. Alterations in land use have a significant impact on regional carbon emissions. Investigating the spatiotemporal variations of land-use change and carbon compensation in Gansu Province is essential for comprehending the dynamics of regional carbon emissions, developing effective emission reduction strategies, and fostering low-carbon development.

How do digital knowledge resources affect the carbon emission intensity of the pig industry?

Purpose By exploring the impact of digital knowledge resources (DKR) on the carbon emission intensity of the pig industry (PCEI), this study aims to reveal the role of DKR in reducing PCEI. Design/methodology/approach Based on provincial panel data in China from 2011 to 2021, this study uses the entropy and Intergovernmental Panel on Climate Change coefficient methods to calculate the evaluation index system of DKR and PCEI, respectively. Empirical analysis using a panel fixed-effects model examines the influence of DKR on PCEI and its underlying mechanisms. Findings DKR can significantly reduce PCEI. This conclusion still holds even after undergoing endogeneity treatment and a series of robustness tests. Mechanism test results indicate that DKR can operate indirectly through the mediation mechanism of rural human capital (RHC) and pig breeding technology innovation (PTI), while environmental regulation intensity (ERI) plays a positive moderating role in the relationship between DKR and PCEI. The magnitude of the impact of DKR on PCEI depends on ERI. Further studies found that the impact of DKR on PCEI has obvious heterogeneity characteristics, and the promotion effect is more obvious in regions with good integration degrees and high development potential. Practical implications This paper divides DKR into three dimensions: digital technology knowledge (DTK), digital management knowledge (DMK) and digital application knowledge (DAK), providing a new framework for research and enriching the understanding of the relationship between DKR and PCEI. Furthermore, the research results reveal the application potential of DKR in the pig industry, particularly in terms of resource allocation efficiency. This is of great significance for promoting low-carbon development in the pig industry and provides insights for the low-carbon transformation of other industries. In addition, the study emphasizes the moderating effect of ERI on the mechanism of carbon reduction in the pig industry through DKR. This offers a new perspective for understanding the relationship between knowledge management and environmental governance, providing a reference basis for policy formulation in related fields. Originality/value This paper further enriches the role of DKR in the livestock industry. Integrating DKR with traditional industries promotes knowledge innovation, information distribution and utilization and scientific decision-making. This has significant value in promoting the development and application of carbon reduction technologies, enhancing industrial competitive advantages, and other aspects.

ESG performance and carbon emission intensity: examining the role of climate policy uncertainty and the digital economy in China’s dual-carbon era

In line with the Sustainable Development Goals (SDGs) proposed by the United Nations and the general direction of global green and low-carbon transformation, China has formulated a dual-carbon target. It aims to peak carbon dioxide emissions by 2030 and strive for carbon neutrality by 2060. Therefore, carbon emission intensity (CEI) has gradually become a research focus. This study investigates the effect of ESG performance on CEI, and explores the moderating effect of climate policy uncertainty (CPU) and the digital economy (DE) on ESG performance and CEI. Provincial-level data in China from 2011 to 2020 was used under the panel data analysis method. The analysis reveals that ESG performance significantly alleviates CEI. In addition, CPU weakens the efficiency of ESG initiatives in decreasing CEI due to regulatory unpredictability, while the digital economy’s expansion, although innovative, may exacerbate CEI in regions dependent on fossil fuels. The study contributes to the literature by highlighting the need for integrated policies that harmonize digital growth with sustainability goals. Additionally, it underscores the significance of considering CPU and DE as critical moderating factors in ESG-CEI dynamics, offering insights for policymakers aiming to balance technological advancement with environmental responsibility.

Markedly Enhanced Photoluminescence of Carbon Dots Dispersed in Deuterium Oxide

In this work, we report some surprisingly interesting results in our pursuit to improve the photoluminescent emission of Carbon Dots (CDs) prepared from various precursors. By simply replacing the regular water with deuterium oxide (D2O) as a dispersion medium, the emission intensity and the subsequent quantum efficiency of the radiative processes could be markedly enhanced. The present study was performed on our previous reported works related to CDs; in each case, the preparation path was maintained accordingly. For each type of CD, the emission intensity and the absolute photoluminescence quantum yield (PLQY) were highly improved, with, in certain cases, more-than-doubled values being recorded and the gain in performance being easily noticeable with the naked eye even in plain daylight. For each type of CD dispersed in regular water and heavy water, respectively, the photoluminescent properties were thoroughly investigated through Steady State, lifetime, and absolute PLQY. To further elucidate the mechanism involved in the photoluminescence intensity enhancement, samples of D2O and H2O dispersed CDs were embedded in a crosslinked Poly(acrylic acid) polymer matrix. The investigations revealed the major influence of the deuterium oxide dispersion medium over the PL emission properties of the investigated CDs.

Luminescent Mesoporous Squaraine Copolymers: Probing the Structural, Optical, and Sensing Behaviors

ABSTRACTHerein, we have designed and developed four luminescent mesoporous squaraine copolymers (PSQ‐X) based on substituted diaryl‐1,4‐diamine moiety with various heteroatom “X” such as CH2, O, S, and SO2 to demonstrate the effect of heteroatom on structural, thermal, electrochemical, and optical properties of copolymers. Synthesis has been achieved through a facile single step metal‐free poly‐condensation reaction using commercially available low‐cost monomers. All polysquaraines (PSQs) possess good thermal stability, crystallinity and low bandgap energy (2–3 eV). Utilizing the fluorescent nature of the PSQs, we have explored them as a “turn‐off” sensor for the selective and sensitive detection of picric acid among various nitro‐aromatic explosives via photoinduced electron transfer (PET) and inner filter effect (IFE) mechanism. The Stern–Volmer constant (KSV) for PA has estimated as 1.93 × 104, 1.92 × 104, 0.68 × 104, and 3.57 × 104 M−1 for PSQ‐CH2, PSQ‐O, PSQ‐S, and PSQ‐SO2, respectively, indicating that PA can quench the emission intensity of PSQ‐SO2 most efficiently with the detection limit in the nano‐molar range (LOD = 5.96 nM). Contact mode detection of PA has been also accomplished using economical and transportable fluorescent paper test strip devices for on‐site sensing, which can detect a minimum of 6.9 fg of PA.

Promoting synergy among environmental and economic performances in food waste treatment by optimizing biogas residue management practices.

Improper management of biogas residue (BR) can reduce sustainability in the food waste treatment industry. To address this issue, a comprehensive evaluation framework, based on emergy analysis, carbon emissions and economic analysis, is proposed in this study, to explore how different BR disposal practices affect the comprehensive performance of the industry. A food waste treatment plant in Henan Province, China (anaerobic digestion (AD) + BR landfilling: Scenario 1 [S1]), and two alternative scenarios (S2: AD + BR incineration; S3: AD + BR composting) are investigated as a case study. Compared with S1, S2 and S3 reduce carbon emission intensity by 16.93 % and 22.92 %, respectively; S2 enhances environmental sustainability by 48.63 % while S3 reduces the environmental sustainability by 11.64 %. Furthermore, S2 and S3 improve economic benefits by 8.70 % and 43.48 %, respectively. Generally, S2 and S3 increase the system coordination degree by 9.35 and 9.52 times, respectively. Therefore, BR management should be devoted to improving the resource structure in the future.

Spatiotemporal estimates of anthropogenic NOx emissions across China during 2015-2022 using a deep learning model.

As one of the significant air pollutants, nitrogen oxides (NOx = NO + NO2) not only pose a great threat to human health, but also contribute to the formation of secondary pollutants such as ozone and nitrate particles. Due to substantial uncertainties in bottom-up emission inventories, simulated concentrations of air pollutants using GEOS-Chem model often largely biased from those of ground-level observations. To address this issue, we developed a new deep learning model to simulate the inverse process of the GEOS-Chem model. This framework was applied to improve the total anthropogenic NOx emission intensity over a five-year period (2015-2019), and then to predict anthropogenic NOx emission intensity for 2020-2022. The deep learning model showed higher R2 value (0.94) based on 10-fold cross-validation, indicating that the model effectively captured spatial features and patterns. Then, NOx emission intensity was calibrated based on the new framework using high-resolution NO2 concentration dataset instead of the simulated NO2 levels derived from GEOS-Chem model. Overall, the top-down inversion result was in agreement with the bottom-up emission inventory at the spatial scale. The top-down emission fluxes were lower in high-emission regions such as central China, Beijing, Shanghai, the Pearl River Delta, and the central part of Liaoning, while posterior estimates were higher in regions with lower prior emission intensity. The posterior NOx emission intensity suggested that some major regions such as Beijing-Tianjin-Hebei (BTH) (-56.4 %) and Pearl River Delta (PRD) (-52.5 %) experienced dramatic NOx emission intensity decreases from 2015 to 2022, whereas some remote regions such as Tibetan Plateau remained relatively stable. This research contributes to the timely tracking of changes in pollutant emission and aids in the formulation of more effective and relevant pollution prevention and control policies.

Does the national ecological civilization pilot zone achieve a “win-win” circumstance for the environment and the economy: empirical evidence from China

ABSTRACT Faced with increasing constraints on resource supply, serious environmental pollution, as well as degraded ecosystems, humans urgently need to propose effective environmental governance initiatives and construct an environmental governance system. Exploiting the national ecological civilization pilot zone (NECPZ) policy as a quasi-natural experiment and using city-level data from 2011 to 2019, this research employs a difference-in-differences (DID) approach to evaluate the comprehensive environmental and economic effects of the NECPZ policy. Meanwhile, we investigate its mechanisms using firm-level data from 2011 to 2019. The NECPZ policy significantly reduces city carbon emission intensity and promotes industrial structure upgrading. The results still hold after a series of robustness tests. The mechanism analysis indicates that NECPZ policy curbs urban carbon emission intensity and boosts industrial structure upgrading via altering four firm behaviours: corporate environmental management, green technological innovation, green finance, and tax relief. Moreover, the impact of NECPZ policy on city carbon emission intensity and industrial structure upgrading varies considerably among regions and different city types. Combining empirical findings and theoretical analysis, this paper argues that NECPZ achieves a ‘win-win’ situation of ecological protection and economic development, which provides evidence for other developing countries to govern the environment and simultaneously develop their economies through constructing ecological civilization systems.

Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China

Impact of Economic Agglomeration on Carbon Emission Intensity and Its Spatial Spillover Effect: A Case Study of Guangdong Province, China

Bandgap Engineering Based on A-site Ions Tuning in Tin Halide Perovskite.

Tin-based halide perovskites (ASnX3) have garnered substantial interest due to their unique photoelectric properties and environmentally friendly features. The A-site ions tuning strategy has been proven to promote material performance. However, there is a lack of systematic research on the optical properties, lattice structure variation, and band structure evolution in tin-based perovskites when the A-site ions tune from organic to inorganic. Herein, MA1-xCsxSnBr3 and MA1-xCsxSnI3 (0≤x≤1) flakes are synthesized through a one-pot reaction method. By controlling the Cs ratio, a tunable photoluminescence (PL) emission covering a wide range of 560-685 nm can be observed in MA1-xCsxSnBr3, with bandgap tuned from 1.8 to 2.15 eV, while the PL ranges from 900 to 950 nm with the bandgap 1.2-1.3 eV for MA1-xCsxSnI3. Besides, the PL intensity of MA1-xCsxSnBr3 significantly enhances with the increasing Cs ratio. First-principles calculations reveal that the octahedron shrinks gradually as the Cs ratio increases. It increases the orbital overlap between Sn and Br and causes a symmetry variation, thus decreasing the bandgap and increasing emission intensity. This work reveals the photophysical mechanism of improved optical properties and bandgap variation in tin-based perovskites, paving the way for their future applications.

An Ultrasensitive Duplex Aptasensor Featuring the Target-Triggered Lanthanide Luminescence Antenna Effect for Wash-Free Detection of Epithelial Cancerous Exosomes.

Fluorescence sensing is widely used in in vitro detection due to its high sensitivity and rapid result delivery. However, detection systems based on nanomaterials involving complex and cumbersome purification steps can lead to sample loss and significantly reduce the accuracy of the results. To address this issue, we proposed a lanthanide-based aptasensor featuring the target-triggered antenna effect to significantly enhance the time-resolved luminescence (TRL) of chelated Tb3+ combined with a wash-free strategy. This sensor enabled highly sensitive detection of the epithelial cell adhesion molecule (EpCAM) on exosomes from epithelial tumors, eliminating the necessity for purification steps and thereby delivering more stable and reliable results. Specifically, using computer-aided design, a sequence capable of self-folding into a stable hairpin structure (Antenna-Hairpin-Tb) was obtained. After hybridization with an EpCAM-specific aptamer (AptEpCAM), a duplex aptasensor (Probe-Tb) was constructed for detection. When the targeted binding occurred between the AptEpCAM and exosomes, the Antenna-Hairpin-Tb dehybridized from the Probe-Tb and underwent self-folding, leading to a significant sensitized TRL signal due to the antenna effect-induced energy transfer from the antenna ligand to the chelated Tb3+. Over a broad range of exosome concentrations (spanning from 6.19 × 102 to 6.19 × 108 particles/mL), the emission intensity of chelated Tb3+ at 543 nm linearly increased with the exosome concentration (linear relationship: Y = 332.62 lg(Nexosomes) + 3690.5, R2 = 0.9956), achieving a theoretical detection limit as low as 17 particles/mL in the buffer. Furthermore, Probe-Tb enabled a swift and effective differentiation of all epithelial cancer serum samples from nonepithelial ones within just 30 min of a wash-free operation, achieving 100% sensitivity, 100% specificity, and 100% accuracy.

A highly sensitive and fast-response fluorescence nanoprobe for in vivo imaging of hypochlorous acid.

Fluorescent probes for in vivo hypochlorous acid (HClO) imaging often face challenges of low selectivity and high cytotoxicity, largely due to poor analyte recognition and water-insoluble aromatic skeletons. To address this, we synthesized fluorescein hydrazide by introducing a spiro-lactam unit into fluorescein, which offers high emission intensity and molar absorption. The five-membered heterocycle in fluorescein hydrazide is selectively disrupted by HClO, enhancing the conjugated system and electron delocalization of the fluorophore, resulting in highly sensitive fluorescence detection of HClO. For in vivo imaging, fluorescein hydrazide was covalently grafted onto the surface of silica nanoparticles via nucleophilic substitution reaction, avoiding complex modifications. This fluorescent nanoprobe (Si-FL) leverages the high-density fluorophores and hydroxyl groups on the silica surface to enrich low-concentrations of HClO through weak supramolecular interactions, thereby accelerating the reaction between HClO and the recognition sites. Compared to other molecular probes, Si-FL demonstrates a superior response speed (within 20 s) and a lower detection limit (72 nM), alongside excellent biocompatibility and water solubility. The nanoprobe Si-FL was successfully applied for HClO detection in living cells, zebrafish, and plants, significantly improving the stability of fluorescence imaging.

Enhanced CH4 emissions from global wildfires likely due to undetected small fires

Monitoring methane (CH4) emissions from terrestrial ecosystems is essential for assessing the relative contributions of natural and anthropogenic factors leading to climate change and shaping global climate goals. Fires are a significant source of atmospheric CH4, with the increasing frequency of megafires amplifying their impact. Global fire emissions exhibit large spatiotemporal variations, making the magnitude and dynamics difficult to characterize accurately. In this study, we reconstruct global fire CH4 emissions by integrating satellite carbon monoxide (CO)-based atmospheric inversion with well-constrained fire CH4 to CO emission ratio maps. Here we show that global fire CH4 emissions averaged 24.0 (17.7–30.4) Tg yr−1 from 2003 to 2020, approximately 27% higher (equivalent to 5.1 Tg yr−1) than average estimates from four widely used fire emission models. This discrepancy likely stems from undetected small fires and underrepresented emission intensities in coarse-resolution data. Our study highlights the value of atmospheric inversion based on fire tracers like CO to track fire-carbon-climate feedback.

Load-Shifting Strategies for Cost-Effective Emission Reductions at Wastewater Facilities.

Significant hourly variation in the carbon intensity of electricity supplied to wastewater facilities introduces an opportunity to lower emissions by shifting the timing of their energy demand. This shift could be accomplished by storing wastewater, biogas from sludge digestion, or electricity from on-site biogas generation. However, the life cycle emissions and cost implications of these options are not clear. We present a multiobjective optimization framework for comparing cost- and emission-minimizing load-shifting strategies at a California case study facility with a relatively low carbon intensity grid and high spread in peak and off-peak electricity prices. We evaluate cost and emission trade-offs from the optimal flexible operation of both existing infrastructure and optimally sized energy flexibility upgrades. We estimate energy-related emission reductions of up to 9.0% with flexible operation of existing infrastructure and up to 16.8% with optimally sized storage upgrades. Only a fraction of these potential savings are realized under actual industrial energy tariffs and the EPA's recommended social cost of carbon. Energy flexibility may hold promise as a short-term emission-saving solution for the wastewater sector, but the extent of savings is heavily dependent on the cost of carbon, electricity tariffs, and emission intensity of the regional electricity grid.

Impact of the Acceptor Group on the Properties of Triphenylamine-Donor-Acceptor Dyes: An Experimental and Computational Study.

Three triphenylamine-Indane donor-acceptor dyes with different functional groups on the acceptor were studied to investigate how substitution would affect the optical properties. The dyes studied were IndCN, containing two malononitrile groups; InO, with two ketone groups; and InOCN, which features mixed functional groups. A combination of Raman spectroscopy, UV-vis absorption and emission spectroscopy, and density functional theory (DFT) calculations were employed for characterization. The dyes exhibited intramolecular charge transfer transitions with relatively high molar absorptivity (εabs) of ∼50 mM-1 cm-1 at 491-591 nm within the visible spectrum and emissions at 690-840 nm in dichloromethane. The malononitrile-containing dyes showed lower-energy absorption and emissions due to a reduced band gap compared to ketone-containing dyes. The bulkiness of the malononitrile group led to a bent geometry, increasing nonradiative decay and reducing the fluorescence quantum yield. The dyes exhibited fluorescence quantum yields less than 0.25 and lifetimes of ∼5 ns. Resonance Raman spectra and DFT calculations showed that the longer linker group (propen-1-ylidene linker) in these systems reduced the charge-transfer character of the optical transition. The emission intensities of the three dyes were temperature-sensitive, with ketone-containing dyes showing shifts in emission bands as well. This could be due to molecular stacking and intermolecular π-interactions.

Power system optimization dispatch for energy conservation and emission reduction

This paper examines the optimization of power system dispatching with a focus on energy conservation and emission reduction. Through analyzing current situations and challenges, it aims to propose effective strategies and methods to achieve efficient power system operation while protecting the environment. The article commences by detailing China's advancements and obstacles in energy conservation and emission reduction within its power system. It addresses issues such as the variability of renewable energy sources, efficiency constraints in thermal power generation units, the intricate nature of the power grid infrastructure, and the novel challenges introduced by reforms in the electricity market. Subsequently, the paper presents four major strategies: priority dispatching of clean energy, flexible dispatching of thermal power units, power grid structure optimization, and market mechanism introduction. Research findings, when integrated with practical case studies, demonstrate that the utilization of virtual power plants and advanced dispatching systems can markedly enhance the capacity for clean energy consumption, decrease the operational duration of thermal power units and the intensity of carbon emissions, while simultaneously improving the overall efficiency of power systems. This research holds significant importance for promoting green and sustainable development in the power industry