Energy Supply Research Articles

A kidney-hypothalamus axis promotes compensatory glucose production in response to glycosuria.

The kidneys facilitate energy conservation through reabsorption of nutrients including glucose. Almost all the filtered blood glucose is reabsorbed by the kidneys. Loss of glucose in urine (glycosuria) is offset by an increase in endogenous glucose production to maintain normal energy supply in the body. How the body senses this glucose loss and consequently enhances glucose production is unclear. Using renal Slc2a2 (also known as Glut2) knockout mice, we demonstrate that elevated glycosuria activates the hypothalamic-pituitary-adrenal axis, which in turn drives endogenous glucose production. This phenotype was attenuated by selective afferent renal denervation, indicating the involvement of the afferent nerves in promoting the compensatory increase in glucose production. In addition, through plasma proteomics analyses we observed that acute phase proteins - which are usually involved in the body's defense mechanisms against a threat - were the top candidates which were either upregulated or downregulated in renal Slc2a2 KO mice. Overall, afferent renal nerves contribute to promoting endogenous glucose production in response to elevated glycosuria and loss of glucose in urine is sensed as a biological threat in mice. These findings may be useful in improving the efficiency of drugs like SGLT2 inhibitors that are intended to treat hyperglycemia by enhancing glycosuria but are met with a compensatory increase in endogenous glucose production.

Planning framework for establishment of hydrogen hubs incorporating the path towards net-zero-driven policies

Hydrogen hubs are emerging as strategic solutions to meet governmental emission reduction targets. A critical aspect of hydrogen hub design involves diversifying end uses, encompassing mobility, backup/storage, heating and cooling provision, onsite electricity generation, and grid energy supply. This paper introduces a comprehensive hydrogen hub model catering to these varied applications. Additionally, a novel multi-stage planning framework is proposed to assist hub operators in making informed decisions regarding the integration of diverse renewable energy sources and infrastructure. This framework addresses varying demands efficiently and economically. Moreover, to align with governmental emission reduction policies leading to net-zero targets, a proactive strategy is suggested. Through zoning for commercial, residential, educational, and healthcare sectors, the Sydney hydrogen hub is envisioned under two scenarios: business-as-usual and towards-net-zero design. Notably, CO2 emissions are projected to decrease from 18.3 ktonnes in the former to 4.7 ktonnes in the latter scenario.

Towards a sustainable energy future: Modeling Morocco’s transition to renewable power with enhanced OSeMOSYS model

Developing countries encounter numerous challenges, such as limited access to reliable electricity and a heavy reliance on imported fossil fuels. To satisfy the rising energy demand, which is essential for economic growth, these regions are shifting towards sustainable energy solutions. Solar and wind power have emerged as key and secure energy sources. This research develops an enhanced OSeMOSYS energy system model to examine long-term energy supply strategies, using Morocco as a case study. The proposed model addresses the specific needs of decision-makers in developing countries, enabling the achievement of renewable energy targets and optimal temporal resolution. A baseline and three alternative scenarios were developed, exploring both a restructuring plan to address existing gaps and a forward-looking policy targeting nearly 100 % renewable energy. These scenarios are assessed in terms of installed capacity, generation mix, investment costs, variable and fixed costs, storage capacity utilization, and carbon emissions. The results indicate that a 92 % integration rate for renewables is feasible at an additional cost of $32 billion, thanks to new energy efficiency measures reducing demand by 15 % between 2030 and 2050 compared to baseline forecasts. Furthermore, an ambitious energy strategy by 2050 could achieve the lowest emissions rate of 0.29 Mt, paving the way for complete decarbonization. Technologically, investment in pumped-storage hydroelectric plants is the most viable backup option for a country dependent on natural gas imports. Our findings emphasize that a diversified energy mix and robust energy efficiency plans are essential for a rapid and feasible transition of the country’s energy system. This paper offers an enhanced energy model to help decision-makers in developing countries set targets on the share of renewables in total installed capacity, thereby increasing their integration rate at minimal additional cost.

An optimal dispatch strategy of off-grid park integrated energy system considering source volatility

An off-grid integrated energy system (IES) with hydrogen storage at park-level is proposed, utilizing wind, solar and natural gas as the main energy supply to replace fossil fuels, in order to overcome the insufficient consideration of energy source conversion and information exchange in the traditional energy system. Firstly, an IES schematic consisted with typical devices is proposed, and all the components are modelled in detail. Then, based on the renewable energy (RE) input requirements and the facility parameters, an optimal dispatch model for multi-energy conversion based on hydrogen storage has been demonstrated. In addition, an improved particle swarm optimization algorithm is also introduced to improve the strategy. Combined with the environmental characteristics, the multi-objective solution with the lowest economic cost and environmental cost, the highest energy supply reliability and energy efficiency as the optimization objectives is determined. Finally, a case study is conducted using the practical data of the Chongli Large-Scale Wind-Solar Complementary Coupled Hydrogen Production System Application Demonstration Project to validate the feasibility of the study under real conditions. The result shows that the RE consumption rate is greater than 99 % under the premise of considering the environmental cost and ensuring the operation reliability, which can effectively improve the operation economy and user economy of the power grid

Elucidation of the Role of L-Arginine and Nω-Nitro-L-Arginine in the Treatment of Rats with Different Levels of Hypoxic Tolerance and Exposure to Lead Nitrate

Background/Aims: Individual resistance to hypoxia is an important feature of the physiological profile of an organism, particularly in relation to lead-induced toxicity. Methods: Our study focused on evaluating parameters of mitochondrial oxygen consumption, microsomal oxidation, intensity of lipoperoxidation processes and antioxidant defences in the liver of rats with low (LR) and high (HR) resistance to hypoxia to elucidate the mechanisms of action of L-arginine and the NO synthase inhibitor L-NNA before or after exposure to lead nitrate. Results: Our study suggests that the redistribution of oxygen-dependent processes towards mitochondrial processes under the influence of the nitric oxide precursor amino acid L-arginine is an important mechanism for maintaining mitochondrial respiratory chain function during per os lead nitrate exposure (3.6 mg lead nitrate/kg bw per day for 30 days). Animals were given L-arginine at a dose of 600 mg/kg bw (i.p., 30 min) before and after exposure to lead nitrate or the NO synthase inhibitor Nω-nitro-L-arginine (L-NNA) at a dose of 35 mg/kg bw (i.p., 30 min) before and after exposure to lead nitrate. Our experiments demonstrated the efficacy of using lead nitrate to simulate lead-related toxic processes via Pb levels in liver tissue; we demonstrated significantly reduced levels of nitrites and nitrates, i.e. stable metabolites of the nitric oxide system, in both LR and HR animals. The effect of the amino acid L-arginine stabilised the negative effects of lead nitrate exposure in both groups of LR and HR rats. We observed the efficiency of mitochondrial energy supply processes and showed a greater vulnerability of NADH-dependent oxidation during lead nitrate exposure in the liver of HR rats. Conclusion: L-arginine initiated the processes of oxidation of NADH-dependent substrates in the LR group, whereas in the HR group this directionality of processes was more effective when the role of the nitric oxide system was reduced (use of L-NNA). Our study of key antioxidant enzyme activities in rat liver tissue during lead nitrate exposure revealed changes in the catalase-peroxidase activity ratio. We found different activities of antioxidant enzymes in the liver tissue of rats treated with lead nitrate and L-arginine or L-NNA, with a significant increase in GPx activity in the LR group when L-arginine was administered both before and after exposure to lead nitrate.

Renewable energy in India: key trends, drivers and prospects

The article examines the features and trends in the development of renewable energy in India in the context of the modern transformation of the global energy economy. The dynamics of growth of installed capacity in the country’s energy sector by type of generation sources has been analyzed, and stable trends in changes in the structure of primary energy consumption have been identified. The main factors for the successful development of key areas of renewable energy have been identified. Particular attention is paid to the analysis of innovative schemes and instruments of public-private partnership in the development of renewable energy. The main government documents that determine the vector and pace of transformation of the Indian energy sector taking into account the global climate agenda are considered. It is concluded that with undeniable successes in the development of renewable energy and favorable conditions for its further growth, in the foreseeable future in India, traditional energy will not lose its significant importance due to the role that it and the infrastructure created for it play in ensuring economic growth and well-being population, sustainable energy supply and energy security of the country in the context of increasing turbulence in the global energy market.

Confinement Synthesis of Atomic Copper-Anchored Polymeric Carbon Nitride in Crystalline UiO-66-NH2 for High-Performance CO2-to-CH3OH Photocatalysis.

Photocatalytic CO2 reduction to value-added fuels displays an attractive scenario to enhance energy supply and reduce global warming. We report herein the confinement synthesis of polymeric carbon nitride (PCN) incorporating with Cu single atoms (CuSAs) inside the crystalline UiO-66-NH2, which combines the merits of heterojunction photocatalysis and single-atom catalysis (SAC) to achieve high-performance CO2-to-CH3OH conversion. A series of spectral studies displays the formation of CuSAs@PCN inside the crystalline UiO-66-NH2. Remarkably, the ternary composite shows an excellent photocatalytic turnover frequency of 4.15 mmol·h-1·g-1 for CO2-to-CH3OH conversion. Theoretical and experimental studies demonstrate the doping of CuSAs, as well as the formation of type-II heterojunction, are causal factors to achieve CH3OH generation. The study provides new insights designing high-performance photocatalyst for CO2 conversion to fuels at atomic scale.

Possible toxification mechanisms of acute and chronic pentachlorophenol to Montipora digitata: Limitation of energy supply and immunotoxicity

Pentachlorophenol (PCP) is widely found in coastal environments and has various adverse effects, and its potential impact on coral reef ecosystems concerning. The scleractinian coral Montipora digitata was used for PCP stress experiments in this study. Phenotypes, physiological indicators, microbial diversity analysis and RNA sequencing were used to investigate the mechanisms underlying the responses of corals to acute and chronic PCP exposure. After 96 h of acute exposure, coral bleaching occurred at 1000 μg/LPCP and there was a significant decrease in Symbiodiniaceae density, Fv/Fm, and chlorophyll a content. Exposure to different concentrations of PCP significantly increased the content of malondialdehyde (MDA), leading to oxidative stress in corals. Chronic PCP exposure resulted in bleaching at 60 days, with the Fv/Fm significantly reduced to 0.461. Microbial diversity analysis revealed an increase in the abundance of potential pathogens, such as Vibrio, during acute PCP exposure and the emergence of the degrading bacterium Delftia during chronic PCP exposure. Transcriptional analysis showed that PCP exposure caused abnormal carbohydrate and amino acid metabolism in zooxanthella, which affected energy supply, induced immune responses, and disrupted symbiotic relationships. Corals respond to injury by boosting the expression of genes associated with signal transduction and immune response. Additionally, the expression of genes associated with environmental adaptation increased with chronic PCP exposure, which is consistent with the results of the microbial diversity analysis. These results indicate that PCP exposure might affect the balance of coral- zooxanthellae symbiosis in the stony coral M. digitata, impairing coral health and leading to bleaching.

Facilitating the Hydrogen Evolution Reaction on Basal-Plane S Sites on MoS2@Ni3S2 by Dual Ti and N Plasma Treatment.

Atomic engineering of the basal plane active sites in MoS2 holds great promise to boost the electrocatalytic activity for hydrogen evolution reactions (HER), yet the performance optimization and mechanism exploration are still not satisfactory. Herein, we proposed a dual-plasma engineering strategy to implant Ti and N heteroatoms into the basal plane of MoS2 supported by Ni3S2 nanorods on nickel foam (MSNF) for efficient electrocatalysis of HER. Owing to the low formation energy of Ti dopants in MoS2 and the extra charge carriers introduced by N dopants, the optimally codoped samples N1.0@Ti500-MSNF demonstrate significant morphology changes from nanorods to urchin-like nanospheres with the surface active areas increased by seven-fold, as well as enhanced electrical conductivity in comparison with the nondoped counterparts. The HER performance of N1.0@Ti500-MSNF is comparable with the Pt-based catalyst: overpotential of 26 mV at 20 mA cm-2, Tafel slope of 35.6 mV dec-1, and long-term stability over 50 h. First-principles calculation reveals that N doping accelerates the dissociation of water molecules while Ti doping activates the adjacent S sites for hydrogen adsorption by lowering the Gibbs free energy, resulting in excellent HER activity. This work thus provides an effective strategy for basal plane engineering of MoS2 heterostructures toward high-performance HER and sustainable energy supply at reasonable costs.

Numerical study of an energy storage unit based on zeolite-water adsorption for mobilized thermal energy storage

Mobile energy storage heating trucks present a promising solution to address current challenges associated with low energy utilization and reliance on a singular heat supply method. This technology seamlessly integrates waste heat recovery and thermal energy utilization, offering potential advantages such as streamlining construction cycles and providing timely energy supply in scenarios with diverse energy demands. To enhance the energy delivery efficiency of mobile heating, this paper employs computational fluid dynamics (CFD) simulation to thoroughly examine the heat accumulator at the core of an adsorption-based mobilized thermal energy storage. Furthermore, the paper conducts simulations and analyses of heat and mass transfer within a zeolite-water accumulator, closely scrutinizing variations in temperature, vapor content, and water content within the zeolite field. The results indicate that, during the heat storage process in the 3 m/s to 5 m/s system, the zeolite sensible heat storage capacity increases by 6.48 %, accompanied by a reduction in latent heat. Specifically, when the inlet steam velocity is 5 m/s compared to 3 m/s, the equilibrium heat transfer time shortens by 24.6 %. Furthermore, for an inlet steam temperature ranging from 180 °C to 220 °C, the average temperature can be elevated by 28.8 °C, resulting in a 10.6 % increase in sensible heat storage capacity. However, the heat storage time experiences a 3.4 % increase. In the exothermic process, with an inlet air velocity of 5 m/s compared to 3 m/s, there is a 22.2 % reduction in latent heat exothermic and a 16.7 % reduction in exothermic time. The inlet air temperature during the exothermic process is 8.9 °C lower than the final temperature of 20 °C, leading to a 3.2 % increase in exothermic quantity and a 20 % improvement in exothermic efficiency.

An in-depth study of the principles and technologies of wind-solar complementary systems: Optimization strategies and future development trends

In the face of the global energy crisis and the challenges of climate change in the 21st century, there is an urgent need to shift to sustainable energy solutions. Wind-solar hybrid systems, renewable energy technologies that combine wind and solar energy, are particularly important because they improve the stability and efficiency of energy supply. Through the analysis of technological innovation and system optimization strategies, this study explores ways to enhance system performance and economy by relying on the latest research on wind and solar energy technology development as well as empirical studies of wind-solar complementary systems in different application scenarios. The results of the study show that wind-solar hybrid systems can effectively reduce the dependence on fossil fuels and reduce environmental pollution, and they play an increasingly important role in the transformation of the global energy structure. Continued technological innovation and policy support are key to advancing the widespread deployment of the system.

A system dynamics modelling assessment of water-energy-food resource demand futures at the city scale: Goma, Democratic Republic of Congo

Understanding future demands of water, energy, and food (WEF) resources is essential to achieve sustainable management of these resources. Based on a survey of 90 households, this study provides an analysis of household water, energy, and food security for the city of Goma, Democratic Republic of Congo, where there is a lack of any such assessment. Water supply is largely unimproved. Electricity supply is fairly reliable in some parts of the city, but not others. Most residents rely on charcoal burning for food preparation. Dietary Diversity Scores are low indicating stable, but low food security. Data collected were used to develop an integrated WEF system dynamics model that was applied to simulate household-level resource demand. To assess future resources demand, four scenarios developed by the Global Scenario Group were simulated. Findings reveal that the 'Great Transition' scenario exerts lower impact on resources demand, representing the most likely trajectory to achieve sustainable socio-economic development and management. However, achieving the conditions required for a ‘Great Transition’ could be challenging in Goma, which is characterised by low incomes, poor access to resources, and the threat of armed conflict. To achieve greater efficiency in resources utilisation and to prepare for the future, a number of recommendations are made, including energy supply diversification, altered agricultural practices to diversify diets, and expansion and improvement of water supply infrastructure. This work provides a basis for similar assessments in DRC and central Africa, highlighting the need for integrated resources management and assessment for regional opportunities toward sustainable development.

Low-Carbon Distributed Optimal Operation of Integrated Energy System Considering Wind and Solar Uncertainty

To ensure the supply and demand balance of integrated energy systems (IES) in the electric-carbon market and solve the complicated interest relationship among participants in the system, a distributed optimal scheduling model based on the extended carbon emission flow theory of integrated energy systems was proposed. Firstly, hydrogen energy production and utilization devices are introduced into the energy supply side to establish an expanded carbon emission flow model of the hydrogen-energy coupling integrated energy system based on carbon emission flow theory. Then, the fuzzy membership function is used to characterize the uncertainty of wind and light output. The distributed optimization algorithm based on goal cascade analysis realizes the decoupling of the integrated energy service provider and the user. This achieves the independent solution of the integrated energy service provider. A numerical example is given to verify that the proposed strategy can realize the stable and optimal operation of the integrated energy system in an uncertain environment.

Problems and prospects of rural energy transformation in China

In recent years, Chinas rural energy supply security capacity has been enhanced, and the adjustment of energy structure has achieved remarkable results, but there are still some problems: The low utilization rate of waste energy in rural areas restricts the comprehensive utilization of resources and environmental protection, the level of rural energy consumption is always in the stage of development, and the lagging construction of rural energy socialized service system restricts the development of rural energy. In view of the problems and challenges faced by Chinas rural energy development, focus on rural energy consumption. This paper analyzes the basic situation of energy development in Chinas rural areas (taking Lantian County of Shaanxi Province as an example). Under the special premise of Chinas national conditions, the specific characteristics of different development in different regions are integrated, and the traditional fossil energy is gradually replaced by the storage and utilization of rural waste and new energy. The key issues such as the construction of rural energy service system and policy guidance are studied, and the measures and suggestions for promoting the scientific development of rural energy in China are put forward.

Decarbonization of Heating and Cooling Systems of Buildings Located Nearby Surface Water Sources: Case Study

The study was carried out to evaluate theoretically and in laboratory conditions the capacity of a hybrid heating and cooling system that sustainably uses thermal energy extracted from surface waters in order to decarbonize buildings located near water sources. The novelty of the research consists in the realization of two experimental systems, one for the rapid evaluation of the performance of the water–water heat pump heating system and one for the evaluation of the operating behavior of a cooling system with fan coil units. Starting with the heating and cooling demand, and the climatic and hydrological local characteristics, a hybrid system model for the heating and cooling of the analyzed building was established and implemented. The forecasted energy consumption and CO2 emissions for the operation of the new equipment were compared with the historical values of the old systems with which the building was equipped (thermal energy supply from the district heating and cooling system with an air conditioning unit). Also, the results were extrapolated for forecasting the energy potential of the surface waters. The study highlights a percentage reduction in annual energy consumption of 67.71% and CO2 emissions of 80.13% through the implementation of the hybrid system.

Optimizing solar power efficiency in smart grids using hybrid machine learning models for accurate energy generation prediction

The fourth energy revolution is characterized by the incorporation of renewable energy supplies into intelligent networks. As the world is shifting towards cleaner energy sources, there is a need for efficient and reliable methods to predict the output of renewable energy plants. Hybrid machine learning modified models are emerging as a promising solution for energy generation prediction. Renewable energy generation plants, such as solar, biogas, hydropower plants, wind farms, etc. are becoming increasingly popular due to their environmental benefits. However, their output can be highly variable and dependent on weather conditions, making integrating them into the existing energy grid challenging. Smart grids with artificial intelligent systems have the potential to solve this challenge by using real-time data to optimize energy production and distribution. Although by incorporating sensors, analytics, and automation, these grids can manage energy demand and supply more efficiently, reducing carbon emissions, increase energy security, and improve access to electricity in remote areas. However, this research aims to enhance the efficiency of solar power generation systems in a smart grid context using machine learning hybrid models such as Hybrid Convolutional-Recurrence Net (HCRN), Hybrid Convolutional-LSTM Net (HCLN), and Hybrid Convolutional-GRU Net (HCGRN). For this purpose, this study considers various parameters of a solar plant such as power production (MWh), irradiance or plane of array (POA), and performance ratio (PR). The HCLN model demonstrates superior accuracy with the RMSE values of 0.012027 for MWh, 0.013734 for POA and 0.003055 for PR, along with the lowest MAE values of 0.069523 for MWh, 0.082813 for POA, and 0.042815 for PR. The obtained results suggest that the proposed machine learning models can effectively enhance the efficiency of solar power generation systems by accurately predicting the required measurements.

A solar-driven atmospheric water extractor for off-grid freshwater generation and irrigation

Solar-driven atmospheric water extraction (SAWE) is a sustainable technology for decentralized freshwater supply. However, most SAWE systems produce water intermittently due to the cyclic nature, with adoption hindered by complex design requirements or periodic manual operations. Herein, a fully passive SAWE system that can continuously produce freshwater under sunlight is presented. By optimizing the three-dimensional architecture to facilitate spontaneous mass transport and efficient energy utilization, this system can consistently produce 0.65 L m−2 h−1 of freshwater under 1-sun illumination at 90% relative humidity (RH) and functions in arid environments with an RH as low as 40%. We test the practical performance of a scaled-up system in Thuwal, Saudi Arabia over 35 days across two seasons. The system produces 2.0–3.0 L m−2 per day of freshwater during the summer and 1.0–2.8 L m−2 per day of freshwater during the fall, without requiring additional maintenance. Intriguingly, we demonstrate the system’s potential for off-grid irrigation by successfully growing cabbage plants using atmospheric water. This passive SAWE system, harnessing solar energy to continuously extract moisture from air for drinking and irrigation, offers a promising solution to address the intertwined challenges of energy, water, and food supply, particularly for remote and water-scarce regions.

5G as Communication Platform for Solar Tower Plants

Wiring of heliostat fields for solar tower plants is a cost factor that becomes more important as the overall cost target is decreasing. Wireless heliostats with radio communication and autarchic energy supply have therefore been proposed in the past. But none of the communication solutions investigated so far could realistically scale to commercial size plants with tens of thousands of heliostats. Moreover, the digitalization of CSP plants with numerous mobile and stationary sensor systems requires a suitable data communication, too. The new generation of mobile radio communication (5G) is capable of handling the heterogenous communication profile portfolio comprising large numbers of units with low data rates – like heliostats - and few units with very large data volume – like e.g. drone-based camera systems. The communication requirements of a typical solar tower installation are assessed in this work and a data traffic model is created for the most relevant communication channels. The various existing 5G implementations are assessed to find the most suitable solution. Different operator models for 5G are considered and their applicability in CSP target countries is discussed. A simulation test case is presented that models the radio communication traffic of a heliostat field control during a cloud passage. Finally, the experimental 5G campus network is introduced that is currently installed at the Solar Tower Jülich research plant and will be operated in the upcoming months to demonstrate the technical feasibility of 5G radio for communication in solar fields.

Anti-fatigue activity on male mice of 70% ethanol and aqueous extract of Rusa unicolor antler from East Kalimantan

Energy supply issues, ATP+PC, anaerobic glycolysis, product accumulation, lactic acid, mechanical failure of muscles to contractions and nervous system changes contribute to fatigue. The goal of this study was to determine whether 70% ethanol and aqueous extracts of Rusa unicolor antler from East Kalimantan, Indonesia, can reduce fatigue in male mice. A total of sixty-four male mice aged 2-3 months (20-30 g) were randomly assigned to eight groups (negative control, positive control and 3 doses of treatments for each extract). After that, the swimming endurance time was assessed, and blood glucose levels were measured before and after the test. Mice's tiredness is demonstrated by their head remaining submerged for 4-7 s while their tails and legs are stretched. One-way ANOVA was used to statistically analyze the data. The results showed that there were significant differences between all treatments with the negative control group (p<0.05). At a dose of 1.3 mg/kg BW of 70% ethanol and aqueous extract of Rusa unicolor antlers were able to maintain the stamina of male mice in swimming for 2 hrs 37 mins. Both extracts improve endurance training, delay tiredness, and promote recovery after exercise. Hence, Rusa unicolor antler extract can significantly improve athletic ability and facilitate recovery after exercise in male mice by increasing endurance training capacity and delaying tiredness.

Combined non-targeted and targeted metabolomics reveals the mechanism of delaying aging of Ginseng fibrous root.

Background: The fibrous root of ginseng (GFR) is the dried thin branch root or whisker root of Ginseng (Panax ginseng C. A. Mey). It is known for its properties such as tonifying qi, producing body fluid, and quenching thirst. Clinically, it is used to treat conditions such as cough, hemoptysis, thirst, stomach deficiency, and vomiting. While GFR and Ginseng share similar metabolites, they differ in their metabolites ratios and efficacy. Furthermore, the specific role of GFR in protecting the body remains unclear. Methods: We employed ultra-high performance liquid chromatography-triple quadrupole mass spectrometry to examine alterations in brain neurotransmitters and elucidate the impact of GFR on the central nervous system. Additionally, we analyzed the serum and brain metabolic profiles of rats using ultra-high performance liquid chromatography-quadrupole-orbitrap mass spectrometry to discern the effect and underlying mechanism of GFR in delaying aging in naturally aged rats. Results: The findings of the serum biochemical indicators indicate that the intervention of GFR can enhance cardiovascular, oxidative stress, and energy metabolism related indicators in naturally aging rats. Research on brain neurotransmitters suggests that GFR can augment physiological functions such as learning and memory, while also inhibiting central nervous system excitation to a certain degree by maintaining the equilibrium of central neurotransmitters in aged individuals. Twenty-four abnormal metabolites in serum and seventeen abnormal metabolites in brain could be used as potential biomarkers and were involved in multiple metabolic pathways. Among them, in the brain metabolic pathways, alanine, aspartate and glutamate metabolism, arginine and proline metabolism, histidine metabolism, and tyrosine metabolism were closely related to central neurotransmitters. Butanoate metabolism improves energy supply for life activities in the aging body. Cysteine and methionine metabolism contributes to the production of glutathione and taurine and played an antioxidant role. In serum, the regulation of glycerophospholipid metabolism pathway and proline metabolism demonstrated the antioxidant capacity of GFR decoction. Conclution: In summary, GFR plays a role in delaying aging by regulating central neurotransmitters, cardiovascular function, oxidative stress, energy metabolism, and other aspects of the aging body, which lays a foundation for the application of GFR.