[Objective] This study was to analyze the several nutrient elements de- manded for the growth of Wolffia globosa with the aim to provide references for the improvement on the formula of nutrient solution for the culti...[Objective] This study was to analyze the several nutrient elements de- manded for the growth of Wolffia globosa with the aim to provide references for the improvement on the formula of nutrient solution for the cultivation of Wolffia globosa. [Method] The basic conditions of the pond were simulated in the greenhouse, and nutrient solution was added to cultivate Wolffia globosa. The main element composi- tions of the experimental water, wild water and dried Wolffia globosa were detected by inductively coupled plasma spectrometer （ICP） and element analyzer, in order to study the nutrient demand for Wolffia globosa growth. And the absorption of N, P, K and consumption of P for the growth of Wolffia globosa were also analyzed. [Re- suit] The Wolffia globosa biomass of the experimental group which cultivated by adding nutrient solution increased over time, and after 2 weeks, the average capacity was significantly more than initial capacity; and the average capacity of the control group without nutrient solution was significantly lower than initial capacity, indicating that the addition of nutrient solution has obvious effect on the growth of Wolffia glo- bosa. However, the biomass of the experimental group was no longer increase after 2 weeks, indicating that there are some inhibitory factors in the incubators of the experimental group. The element detection results were as follows： the content pro- portions of N, P and K were 3.8：1：2.8, 11.5：1：17 and 5.2：1：6.8 in the experimental water, wild water and drying Wolffia globosa, respectively. The N, P, K in the water of experimental group was not exhausted, while the contents of Ca and Zn in three experimental incubators were below the limit of detection （ND）. And the contents of Mn in incubators No.l-No.3 were ND, 0.05 and 0.38 mg/L, respectively, presenting positive correlation with the biomass of Wolffia globosa. The inhibitory growth of Wolffia globosa is closely related with the absence of Ca, Mn and Zn in the nutrient solution. [Conclusion] The experimental results provided valuable parameters for the improvement on the formula of the original nutrient solution.展开更多
1. Know macro-control policy in the auto industry Foreign companies should know the follow-ing policy measures of macro-control by Chinese government when they enter Chinese car mar-ket. ◇All car and engine projects,...1. Know macro-control policy in the auto industry Foreign companies should know the follow-ing policy measures of macro-control by Chinese government when they enter Chinese car mar-ket. ◇All car and engine projects, whatever the amount of investment, shall be approved by the state, rather than the ministries or local govern-展开更多
This paper introduces a method for modeling the entire aggregated electric vehicle(EV)charging process and analyzing its dispatchable capabilities.The methodology involves developing a model for aggregated EV charging...This paper introduces a method for modeling the entire aggregated electric vehicle(EV)charging process and analyzing its dispatchable capabilities.The methodology involves developing a model for aggregated EV charging at the charging station level,estimating its physical dispatchable capability,determining its economic dispatchable capability under economic incentives,modeling its participation in the grid,and investigating the effects of different scenarios and EV penetration on the aggregated load dispatch and dispatchable capability.The results indicate that using economic dispatchable capability reduces charging prices by 9.7%compared to physical dispatchable capability and 9.3%compared to disorderly charging.Additionally,the peak-to-valley difference is reduced by 64.6%when applying economic dispatchable capability with 20%EV penetration and residential base load,compared to disorderly charging.展开更多
At the beginning of 2025,China’s national carbon market carbon price trend exhibited a continuous unilateral downward trajectory,representing a departure from the overall steady upward trend in carbon prices since th...At the beginning of 2025,China’s national carbon market carbon price trend exhibited a continuous unilateral downward trajectory,representing a departure from the overall steady upward trend in carbon prices since the carbon market launched in 2021.The analysis suggests that the primary reason for the recent decline in carbon prices is the reversal of supply and demand dynamics in the carbon market,with increased quota supply amid a sluggish economy.It is expected that downward pressure on carbon prices will persist in the short term,but with more industries being included and continued policy optimization and improvement,a rise in China’s medium-to long-term carbon prices is highly probable.Recommendations for enterprises involved in carbon asset operations and management:first,refining carbon asset reserves and trading strategies;second,accelerating internal CCER project development;third,exploring carbon financial instrument applications;fourth,establishing and improving internal carbon pricing mechanisms;fifth,proactively planning for new industry inclusion.展开更多
Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation of energy systems and to enable citizens’participation in the...Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation of energy systems and to enable citizens’participation in the energy transition.This study proposes an innovative multi-step clustering procedure to segment customers based on load-shape patterns at the daily and intra-daily time horizons.Smart meter data is split between daily and hourly normalized time series to assess monthly,weekly,daily,and hourly seasonality patterns separately.The dimensionality reduction implicit in the splitting allows a direct approach to clustering raw daily energy time series data.The intraday clustering procedure sequentially identifies representative hourly day-unit profiles for each customer and the entire population.For the first time,a step function approach is applied to reduce time series dimensionality.Customer attributes embedded in surveys are employed to build external clustering validation metrics using Cramer’s V correlation factors and to identify statistically significant determinants of load-shape in energy usage.In addition,a time series features engineering approach is used to extract 16 relevant demand flexibility indicators that characterize customers and corresponding clusters along four different axes:available Energy(E),Temporal patterns(T),Consistency(C),and Variability(V).The methodology is implemented on a real-world electricity consumption dataset of 325 Small and Medium-sized Enterprise(SME)customers,identifying 4 daily and 6 hourly easy-to-interpret,well-defined clusters.The application of the methodology includes selecting key parameters via grid search and a thorough comparison of clustering distances and methods to ensure the robustness of the results.Further research can test the scalability of the methodology to larger datasets from various customer segments(households and large commercial)and locations with different weather and socioeconomic conditions.展开更多
As a crucial human activity,dam construction can profoundly impact the surface hydrology patterns.The Three Gorges Reservoir(TGR),as one of the largest hydraulic engineering projects in the world,has gained continuous...As a crucial human activity,dam construction can profoundly impact the surface hydrology patterns.The Three Gorges Reservoir(TGR),as one of the largest hydraulic engineering projects in the world,has gained continuous attention for its eco-hydrological effects.However,further investigation is necessary to understand the runoff and social impacts of the TGR on the Upper Yangtze River.This study first employed a modified SWAT model to simulate runoff,compared scenarios with and without the TGR,and finally evaluated water supply and demand in the Upper Yangtze River.The results showed a significant increasing trend in the surface water area of the Upper Yangtze River from 2000-2020.The modified SWAT model performs well in simulating the runoff,with Nash-Sutcliffe Efficiency and Percent Bias improved by 0.04-0.30 and 2-31.90,respectively.Scenario simulation results revealed that the TGR reduced seasonal differences in runoff.During the flood season,the runoff volume at the Yichang Station in the scenario with the TGR is lower than in the scenario without the TGR,peaking at 4500 m3/s.Conversely,in the dry season,the runoff volume of the scenario with TGR is higher,with a maximum increase of 1500 m3/s.The region exhibiting the greatest runoff variations is the Yangtze River's main stem in the Three Gorges Reservoir region.Besides,the TGR notably alleviated the water supply-demand imbalance in Chongqing during the winter and spring seasons,with a maximum increase of 0.16 in the supplydemand index.This study can contribute significantly to understanding the natural and social impacts of the TGR from the perspective of hydrological and scenario simulation.展开更多
Agricultural Products Processing and Storage (ISSN 3059-4510,Owner:Hunan Academy of Agricultural Sciences,China.Production and hosting:Springer Nature) is an international,pect-review ed open access journal with the a...Agricultural Products Processing and Storage (ISSN 3059-4510,Owner:Hunan Academy of Agricultural Sciences,China.Production and hosting:Springer Nature) is an international,pect-review ed open access journal with the aim to offer a platform for the rapid dissemination of significant,novel,and high-impact research in the fields of agricultural product processing science,technology,engineering,and nutrition.Additio nally,supplemental issues are curated and published to facilitate in-depth discussions on special topics.展开更多
https://doi. org/10.1016/j. enbuild. 2025.115843Volume 343,15 September 2025(1) Archetypes-based calibration for urban building energy modelling by Moa Mattsson,Itai Danielski,Thomas Olofsson,et al,Abstract:Reducing e...https://doi. org/10.1016/j. enbuild. 2025.115843Volume 343,15 September 2025(1) Archetypes-based calibration for urban building energy modelling by Moa Mattsson,Itai Danielski,Thomas Olofsson,et al,Abstract:Reducing energy use w ithin the building sector is vital to create sustainable cities and mitigate global w arming. Urban building energy modelling (UBEM) is useful to evaluate energy demand and renovation potential in districts.展开更多
The penetration rate of new wind and photovoltaic energy in the power system has increased significantly,and the dramatic fluctuation of the net load of the grid has led to a severe lack of flexibility in the regional...The penetration rate of new wind and photovoltaic energy in the power system has increased significantly,and the dramatic fluctuation of the net load of the grid has led to a severe lack of flexibility in the regional grid.This paper proposes a hierarchical optimal dispatch strategy for a high proportion of new energy power systems that considers the balanced response of grid flexibility.Firstly,various flexibility resource regulation capabilities on the source-load side are analyzed,and then flexibility demand and flexibility response are matched,and flexibility demand response assessment is proposed;then,a hierarchical optimal dispatch model of the grid taking flexibility adjustment capability into account is established,and the upper model optimizes the net load curve with the objectives of minimizing the fluctuation of the net load,maximizing the benefits of energy storage and controllable loads,and optimizing the flexibility adjustment capability.The upper layer model optimizes the net load curve by minimizing net load fluctuation,maximizing energy storage and controllable load revenue,and optimizing flexibility adjustment capability.In contrast,the lower layer model optimizes the power allocation of thermal power units and regulates the lost load of wind and solar power generation by minimizing the total system operating cost.The results show that the proposed strategy improves the flexibility of the grid by 15.2%,gives full play to the regulation capability of each flexibility resource,and reduces the fluctuation of the net load by 15.6%to achieve optimal coordination between different types of flexibility resources.展开更多
Precipitation is scarce in semi-arid areas,which results in serious drought.Occurrence of flash drought is quite often in these areas,and flash drought may also cause significant disasters.However,monitoring flash dro...Precipitation is scarce in semi-arid areas,which results in serious drought.Occurrence of flash drought is quite often in these areas,and flash drought may also cause significant disasters.However,monitoring flash drought is still weak and remains a challenge.This study aims to identify,evaluate,and monitor flash drought events that occurred from 1961 to 2020 in reservoirs of the CearáState,Brazil.The Christian's method,standardized precipitation index(SPI),standardized precipitation evapotranspiration index(SPEI),and evaporative demand drought index(EDDI)were used to assess the severity and persistence of flash drought.Moreover,analyses conducted in 2001,2008,2011,2012,2016,and 2020revealed the complexity and interaction of flash drought with environmental and meteorological factors.The results indicated that in dry years such as 2001,2012,and 2016,drought indices pointed to the intensification of drought conditions,with impacts on major reservoirs in the area,such as Banabuiú,Castanh?o,and Orós.Low precipitation,associated with high evaporative demand,intensified water stress,reducing water availability for the population and local ecosystems.In wet years such as 2008,2011,and 2020,SPEI and EDDI indicated higher moisture levels and drought relief,favoring the recovery of reservoirs.It was also observed that most flash drought episodes evolved into conventional droughts,highlighting their persistence and potential long-term impact.Moreover,the months of May and November presented a higher frequency of flash drought during the wet and dry periods,respectively,negatively impacting most of the studied reservoirs.These findings underscore the need for effective drought monitoring and mitigation strategies to reduce its impacts on agriculture and water resources in the semi-arid area.Early detection and analysis of flash drought are important for improving water resource management and for continuous adaptation to changing drought conditions.展开更多
The Philippine economy slowed in 2025 as domestic shocks,weaker investment,and soft global demand weighed on growth.However,a modest recovery is expected in 2026-2027,supported by resilient consumption and easing infl...The Philippine economy slowed in 2025 as domestic shocks,weaker investment,and soft global demand weighed on growth.However,a modest recovery is expected in 2026-2027,supported by resilient consumption and easing inflation,according to the World Bank's latest Phil-ippines Economic Update(PEU).展开更多
Climate variability significantly impacts agricultural water resources,particularly in regions like Vietnam's Plain of Reeds that heavily utilize rain-fed conditions.This study employs the FAO-AquaCrop model to es...Climate variability significantly impacts agricultural water resources,particularly in regions like Vietnam's Plain of Reeds that heavily utilize rain-fed conditions.This study employs the FAO-AquaCrop model to estimate current and future irrigation water needs for rice cultivation in this critical subregion,aiming to identify optimal sowing schedules(OSS)that enhance rainwater utilization and reduce irrigation dependency.The model was driven by current climate data and future projections(2041-2070 and 2071-2099)derived from downscaled Global Circulation Models under RCP4.5 and RCP8.5 scenarios.The AquaCrop model demonstrated robust performance during validation and calibration,with d-values(0.82-0.93)and R²values(0.85-0.92)indicating strong predictive accuracy for rice yield.Simulation results for efficient irrigation water potential(IWP)under RCP4.5 revealed that strategic shifts in sowing dates can substantially alter water requirements;for instance,advancing the winter-spring sowing to December 5th decreased IWP by 15.6%in the 2041-2070 period,while delaying summer-autumn crop sowing to April 20th increased IWP by 48.6%due to greater reliance on irrigation as rainfall patterns shift.Similar dynamic responses were observed for the 2071-2099 period and for autumn-winter crops.These findings underscore that AquaCrop modeling can effectively predict future irrigation needs and that adjusting cultivation calendars presents a viable,low-cost adaptation strategy.This approach allows farmers in the Plain of Reeds to optimize rainwater use,thereby reducing dependency on supplementary irrigation and mitigating the adverse impacts of climate variability,contributing to more sustainable agricultural water management.展开更多
Financial integration plays an important role in fostering global economic growth.Energy demand,technology transfer,sustainable production,and climate change have emerged as key drivers of sustainable development.This...Financial integration plays an important role in fostering global economic growth.Energy demand,technology transfer,sustainable production,and climate change have emerged as key drivers of sustainable development.This study explores the influence of financial integration,bolstered by renewable energy-induced trade,industry-driven technology,and environmental concerns,on regional economic growth.This study analyzes a panel of 39 high-and upper-middle-income European and Central Asian countries in 2017–2021.Using a panel generalized method of moments estimator,we reveal an inverted U-shaped relationship between regional economic growth and carbon emissions.Moreover,renewable energy-induced trade contributes positively to regional growth while trade openness and technology transfer further enhance this growth.Industry-driven technology negatively impacts regional growth owing to inadequate financial integration.The absence of sustainable energy infrastructure and industrialization also negatively impacts regional growth.Our study underscores the importance of increasing financial integration to promote sustainable energydriven trade openness and technology transfer in line with the United Nations’sustainable development agenda.展开更多
This review takes stock of China’s Double Reduction.In the short run,it lowered visible burden and pushed demand from subject tutoring toward on-campus and non-subject services.But with high-stakes selection unchange...This review takes stock of China’s Double Reduction.In the short run,it lowered visible burden and pushed demand from subject tutoring toward on-campus and non-subject services.But with high-stakes selection unchanged,demand reappears as small-group/one-to-one provision,advantaging families with high socioeconomic status and strong schools.Lasting relief will require tighter oversight and admissions reform with targeted,well-funded in-school support.展开更多
In 2024,China’s natural gas sector experienced robust growth in both supply and demand dynamics,as apparent consumption increased rapidly,reaching 426.05 billion m^(3),reflecting a 8.0%year-on-year surge.Domestic gas...In 2024,China’s natural gas sector experienced robust growth in both supply and demand dynamics,as apparent consumption increased rapidly,reaching 426.05 billion m^(3),reflecting a 8.0%year-on-year surge.Domestic gas increase in reserves and production persistently progressed,hitting a production volume of 249.27 billion m^(3) and achieving a six-year consecutive increment exceeding 13 billion m^(3).Imported natural gas continues to grow,with the combined volume of imported pipeline gas and imported LNG expected to reach 180.57 billion m^(3) in 2024,marking an 11.0%year-on-year increase.In 2025,China’s policy aimed at stabilizing growth will continue to exert its influence,maintaining a recovery trend in the national economy with steady progress.The natural gas market is expected to experience rapid growth,with demand primarily driven by industrial fuel and city gas,while the proportion of demand for power generation is anticipated to increase.The national natural gas demand growth rate is projected to be approximately 6%in 2025.展开更多
The proposal of carbon neutrality target makes decarbonization and hydrogenation typical features of future energy development in China.With a wide range of application scenarios,hydrogen energy will experience rapid ...The proposal of carbon neutrality target makes decarbonization and hydrogenation typical features of future energy development in China.With a wide range of application scenarios,hydrogen energy will experience rapid growth in production and consumption.To formulate an effective hydrogen energy development strategy for the future of China,this study employs the departmental scenario analysis method to calculate and evaluate the future consumption of hydrogen energy in China’s heavy industry,transportation,electricity,and other related fields.Multidimensional technical parameters are selected and predicted accurately and reliably in combination with different development scenarios.The findings indicate that the period from 2030 to 2050 will enjoy rapid development of hydrogen energy,having an average annual growth rate of 2%to 4%.The technological progress and breakthroughs scenario has the greatest potential for hydrogen demand scale among the four development scenarios.Under this scenario,the total demand for hydrogen energy is expected to reach 446.37Mt in 2060.Thetransportation sector will be the sector with the greatest potential for hydrogen deployment growth from 2023 to 2060,which is expected to rise from 0.038Mt to about 163.18Mt,with the ambitious growth in the future.Additionally,hydrogen energy has a considerable development potential in the steel sector,and the trend of de-refueling coke by hydrogenation in this sector will be imperative for this energy-intensive industries.展开更多
In contemporary power systems,delving into the flexible regulation potential of demand-side resources is of paramount significance for the efficient operation of power grids.This research puts forward an innovative mu...In contemporary power systems,delving into the flexible regulation potential of demand-side resources is of paramount significance for the efficient operation of power grids.This research puts forward an innovative multivariate flexible load aggregation control approach that takes dynamic demand response into full consideration.In the initial stage,using generalized time-domain aggregation modelling for a wide array of heterogeneous flexible loads,including temperature-controlled loads,electric vehicles,and energy storage devices,a novel calculation method for their maximum adjustable capacities is devised.Distinct from conventional methods,this newly developed approach enables more precise and adaptable quantification of the load-adjusting capabilities,thereby enhancing the accuracy and flexibility of demand-side resource management.Subsequently,an SSA-BiLSTM flexible load classification prediction model is established.This model represents an innovative application in the field,effectively combining the advantages of the Sparrow Search Algorithm(SSA)and the Bidirectional Long-Short-Term Memory(BiLSTM)neural network.Furthermore,a parallel Markov chain is introduced to evaluate the switching state transfer probability of flexible loads accurately.This integration allows for a more refined determination of the maximum response capacity range of the flexible load aggregator,significantly improving the precision of capacity assessment compared to existing methods.Finally,in consonance with the intra-day scheduling plan,a newly developed diffuse filling algorithm is implemented to control the activation times of flexible loads precisely,thus achieving real-time dynamic demand response.Through in-depth case analysis and comprehensive comparative studies,the effectiveness of the proposed method is convincingly validated.With its innovative techniques and enhanced performance,it is demonstrated that this method has the potential to substantially enhance the utilization efficiency of demand-side resources in power systems,providing a novel and effective solution for optimizing power grid operation and demand-side management.展开更多
The demand response(DR)market,as a vital complement to the electricity spot market,plays a key role in evoking user-side regulation capability to mitigate system-level supply‒demand imbalances during extreme events.Wh...The demand response(DR)market,as a vital complement to the electricity spot market,plays a key role in evoking user-side regulation capability to mitigate system-level supply‒demand imbalances during extreme events.While the DR market offers the load aggregator(LA)additional profitable opportunities beyond the electricity spot market,it also introduces new trading risks due to the significant uncertainty in users’behaviors.Dispatching energy storage systems(ESSs)is an effective means to enhance the risk management capabilities of LAs;however,coordinating ESS operations with dual-market trading strategies remains an urgent challenge.To this end,this paper proposes a novel systematic risk-aware coordinated trading model for the LA in concurrently participating in the day-ahead electricity spot market and DR market,which incorporates the capacity allocation mechanism of ESS based on market clearing rules to jointly formulate bidding and pricing decisions for the dual market.First,the intrinsic coupling characteristics of the LA participating in the dual market are analyzed,and a joint optimization framework for formulating bidding and pricing strategies that integrates ESS facilities is proposed.Second,an uncertain user response model is developed based on price‒response mechanisms,and actual market settlement rules accounting for under-and over-responses are employed to calculate trading revenues,where possible revenue losses are quantified via conditional value at risk.Third,by imposing these terms and the capacity allocation mechanism of ESS,the risk-aware stochastic coordinated trading model of the LA is built,where the bidding and pricing strategies in the dual model that trade off risk and profit are derived.The simulation results of a case study validate the effectiveness of the proposed trading strategy in controlling trading risk and improving the trading income of the LA.展开更多
A notable shift has captured widespread attention in China’s textile machinery industry this year.Overseas orders from regions such as Southeast Asia and South Asia are growing against the broader market trend.This s...A notable shift has captured widespread attention in China’s textile machinery industry this year.Overseas orders from regions such as Southeast Asia and South Asia are growing against the broader market trend.This surge has not only secured the annual production foundation for the sector but also unlocked entirely new growth potential.This phenomenon naturally makes many industry insiders thinking:as the domestic market grapples with challenges like demand restructuring and rising costs,is the growth in overseas orders merely a fallback option or the inevitable outcome of proactive industry upgrading?展开更多
The integration of substantial renewable energy and controllable resources disrupts the supply-demand balance in distribution grids.Secure operations are dependent on the participation of user-side resources in demand...The integration of substantial renewable energy and controllable resources disrupts the supply-demand balance in distribution grids.Secure operations are dependent on the participation of user-side resources in demand response at both the day-ahead and intraday levels.Current studies typically overlook the spatial--temporal variations and coordination between these timescales,leading to significant day-ahead optimization errors,high intraday costs,and slow convergence.To address these challenges,we developed a multiagent,multitimescale aggregated regulation method for spatial--temporal coordinated demand response of user-side resources.Firstly,we established a framework considering the spatial--temporal coordinated characteristics of user-side resources with the objective to min-imize the total regulation cost and weighted sum of distribution grid losses.The optimization problem was then solved for two different timescales:day-ahead and intraday.For the day-ahead timescale,we developed an improved particle swarm optimization(IPSO)algo-rithm that dynamically adjusts the number of particles based on intraday outcomes to optimize the regulation strategies.For the intraday timescale,we developed an improved alternating direction method of multipliers(IADMM)algorithm that distributes tasks across edge distribution stations,dynamically adjusting penalty factors by using historical day-ahead data to synchronize the regulations and enhance precision.The simulation results indicate that this method can fully achieve multitimescale spatial--temporal coordinated aggregated reg-ulation between day-ahead and intraday,effectively reduce the total regulation cost and distribution grid losses,and enhance smart grid resilience.展开更多
基金Supported by the Forestry Industry Public Welfare Project of State Forestry Bureau(200904001)the National Natural Science Foundation of China(NSFC J0730641)~~
文摘[Objective] This study was to analyze the several nutrient elements de- manded for the growth of Wolffia globosa with the aim to provide references for the improvement on the formula of nutrient solution for the cultivation of Wolffia globosa. [Method] The basic conditions of the pond were simulated in the greenhouse, and nutrient solution was added to cultivate Wolffia globosa. The main element composi- tions of the experimental water, wild water and dried Wolffia globosa were detected by inductively coupled plasma spectrometer （ICP） and element analyzer, in order to study the nutrient demand for Wolffia globosa growth. And the absorption of N, P, K and consumption of P for the growth of Wolffia globosa were also analyzed. [Re- suit] The Wolffia globosa biomass of the experimental group which cultivated by adding nutrient solution increased over time, and after 2 weeks, the average capacity was significantly more than initial capacity; and the average capacity of the control group without nutrient solution was significantly lower than initial capacity, indicating that the addition of nutrient solution has obvious effect on the growth of Wolffia glo- bosa. However, the biomass of the experimental group was no longer increase after 2 weeks, indicating that there are some inhibitory factors in the incubators of the experimental group. The element detection results were as follows： the content pro- portions of N, P and K were 3.8：1：2.8, 11.5：1：17 and 5.2：1：6.8 in the experimental water, wild water and drying Wolffia globosa, respectively. The N, P, K in the water of experimental group was not exhausted, while the contents of Ca and Zn in three experimental incubators were below the limit of detection （ND）. And the contents of Mn in incubators No.l-No.3 were ND, 0.05 and 0.38 mg/L, respectively, presenting positive correlation with the biomass of Wolffia globosa. The inhibitory growth of Wolffia globosa is closely related with the absence of Ca, Mn and Zn in the nutrient solution. [Conclusion] The experimental results provided valuable parameters for the improvement on the formula of the original nutrient solution.
文摘1. Know macro-control policy in the auto industry Foreign companies should know the follow-ing policy measures of macro-control by Chinese government when they enter Chinese car mar-ket. ◇All car and engine projects, whatever the amount of investment, shall be approved by the state, rather than the ministries or local govern-
基金State Grid Henan Power Company Science and Technology Project‘Key Technology and Demonstration Application of Multi-Domain Electric Vehicle Aggregated Charging Load Dispatch’(5217L0240003).
文摘This paper introduces a method for modeling the entire aggregated electric vehicle(EV)charging process and analyzing its dispatchable capabilities.The methodology involves developing a model for aggregated EV charging at the charging station level,estimating its physical dispatchable capability,determining its economic dispatchable capability under economic incentives,modeling its participation in the grid,and investigating the effects of different scenarios and EV penetration on the aggregated load dispatch and dispatchable capability.The results indicate that using economic dispatchable capability reduces charging prices by 9.7%compared to physical dispatchable capability and 9.3%compared to disorderly charging.Additionally,the peak-to-valley difference is reduced by 64.6%when applying economic dispatchable capability with 20%EV penetration and residential base load,compared to disorderly charging.
文摘At the beginning of 2025,China’s national carbon market carbon price trend exhibited a continuous unilateral downward trajectory,representing a departure from the overall steady upward trend in carbon prices since the carbon market launched in 2021.The analysis suggests that the primary reason for the recent decline in carbon prices is the reversal of supply and demand dynamics in the carbon market,with increased quota supply amid a sluggish economy.It is expected that downward pressure on carbon prices will persist in the short term,but with more industries being included and continued policy optimization and improvement,a rise in China’s medium-to long-term carbon prices is highly probable.Recommendations for enterprises involved in carbon asset operations and management:first,refining carbon asset reserves and trading strategies;second,accelerating internal CCER project development;third,exploring carbon financial instrument applications;fourth,establishing and improving internal carbon pricing mechanisms;fifth,proactively planning for new industry inclusion.
基金supported by the Spanish Ministry of Science and Innovation under Projects PID2022-137680OB-C32 and PID2022-139187OB-I00.
文摘Customer segmentation according to load-shape profiles using smart meter data is an increasingly important application to vital the planning and operation of energy systems and to enable citizens’participation in the energy transition.This study proposes an innovative multi-step clustering procedure to segment customers based on load-shape patterns at the daily and intra-daily time horizons.Smart meter data is split between daily and hourly normalized time series to assess monthly,weekly,daily,and hourly seasonality patterns separately.The dimensionality reduction implicit in the splitting allows a direct approach to clustering raw daily energy time series data.The intraday clustering procedure sequentially identifies representative hourly day-unit profiles for each customer and the entire population.For the first time,a step function approach is applied to reduce time series dimensionality.Customer attributes embedded in surveys are employed to build external clustering validation metrics using Cramer’s V correlation factors and to identify statistically significant determinants of load-shape in energy usage.In addition,a time series features engineering approach is used to extract 16 relevant demand flexibility indicators that characterize customers and corresponding clusters along four different axes:available Energy(E),Temporal patterns(T),Consistency(C),and Variability(V).The methodology is implemented on a real-world electricity consumption dataset of 325 Small and Medium-sized Enterprise(SME)customers,identifying 4 daily and 6 hourly easy-to-interpret,well-defined clusters.The application of the methodology includes selecting key parameters via grid search and a thorough comparison of clustering distances and methods to ensure the robustness of the results.Further research can test the scalability of the methodology to larger datasets from various customer segments(households and large commercial)and locations with different weather and socioeconomic conditions.
基金supported by the National Natural Science Foundation of China(Nos.41975044,42371354,41801021,42101385)Open Fund of Hubei Luojia Laboratory(No.2201000043)the Fundamental Research Funds for National Universities,China University of Geosciences,Wuhan。
文摘As a crucial human activity,dam construction can profoundly impact the surface hydrology patterns.The Three Gorges Reservoir(TGR),as one of the largest hydraulic engineering projects in the world,has gained continuous attention for its eco-hydrological effects.However,further investigation is necessary to understand the runoff and social impacts of the TGR on the Upper Yangtze River.This study first employed a modified SWAT model to simulate runoff,compared scenarios with and without the TGR,and finally evaluated water supply and demand in the Upper Yangtze River.The results showed a significant increasing trend in the surface water area of the Upper Yangtze River from 2000-2020.The modified SWAT model performs well in simulating the runoff,with Nash-Sutcliffe Efficiency and Percent Bias improved by 0.04-0.30 and 2-31.90,respectively.Scenario simulation results revealed that the TGR reduced seasonal differences in runoff.During the flood season,the runoff volume at the Yichang Station in the scenario with the TGR is lower than in the scenario without the TGR,peaking at 4500 m3/s.Conversely,in the dry season,the runoff volume of the scenario with TGR is higher,with a maximum increase of 1500 m3/s.The region exhibiting the greatest runoff variations is the Yangtze River's main stem in the Three Gorges Reservoir region.Besides,the TGR notably alleviated the water supply-demand imbalance in Chongqing during the winter and spring seasons,with a maximum increase of 0.16 in the supplydemand index.This study can contribute significantly to understanding the natural and social impacts of the TGR from the perspective of hydrological and scenario simulation.
文摘Agricultural Products Processing and Storage (ISSN 3059-4510,Owner:Hunan Academy of Agricultural Sciences,China.Production and hosting:Springer Nature) is an international,pect-review ed open access journal with the aim to offer a platform for the rapid dissemination of significant,novel,and high-impact research in the fields of agricultural product processing science,technology,engineering,and nutrition.Additio nally,supplemental issues are curated and published to facilitate in-depth discussions on special topics.
文摘https://doi. org/10.1016/j. enbuild. 2025.115843Volume 343,15 September 2025(1) Archetypes-based calibration for urban building energy modelling by Moa Mattsson,Itai Danielski,Thomas Olofsson,et al,Abstract:Reducing energy use w ithin the building sector is vital to create sustainable cities and mitigate global w arming. Urban building energy modelling (UBEM) is useful to evaluate energy demand and renovation potential in districts.
文摘The penetration rate of new wind and photovoltaic energy in the power system has increased significantly,and the dramatic fluctuation of the net load of the grid has led to a severe lack of flexibility in the regional grid.This paper proposes a hierarchical optimal dispatch strategy for a high proportion of new energy power systems that considers the balanced response of grid flexibility.Firstly,various flexibility resource regulation capabilities on the source-load side are analyzed,and then flexibility demand and flexibility response are matched,and flexibility demand response assessment is proposed;then,a hierarchical optimal dispatch model of the grid taking flexibility adjustment capability into account is established,and the upper model optimizes the net load curve with the objectives of minimizing the fluctuation of the net load,maximizing the benefits of energy storage and controllable loads,and optimizing the flexibility adjustment capability.The upper layer model optimizes the net load curve by minimizing net load fluctuation,maximizing energy storage and controllable load revenue,and optimizing flexibility adjustment capability.In contrast,the lower layer model optimizes the power allocation of thermal power units and regulates the lost load of wind and solar power generation by minimizing the total system operating cost.The results show that the proposed strategy improves the flexibility of the grid by 15.2%,gives full play to the regulation capability of each flexibility resource,and reduces the fluctuation of the net load by 15.6%to achieve optimal coordination between different types of flexibility resources.
基金CearáFoundation for Scientific and Technological Development Support(FUNCAP)the Coordination for the Improvement of Higher Education Personnel(CAPES)for all the help and support to carry out this research。
文摘Precipitation is scarce in semi-arid areas,which results in serious drought.Occurrence of flash drought is quite often in these areas,and flash drought may also cause significant disasters.However,monitoring flash drought is still weak and remains a challenge.This study aims to identify,evaluate,and monitor flash drought events that occurred from 1961 to 2020 in reservoirs of the CearáState,Brazil.The Christian's method,standardized precipitation index(SPI),standardized precipitation evapotranspiration index(SPEI),and evaporative demand drought index(EDDI)were used to assess the severity and persistence of flash drought.Moreover,analyses conducted in 2001,2008,2011,2012,2016,and 2020revealed the complexity and interaction of flash drought with environmental and meteorological factors.The results indicated that in dry years such as 2001,2012,and 2016,drought indices pointed to the intensification of drought conditions,with impacts on major reservoirs in the area,such as Banabuiú,Castanh?o,and Orós.Low precipitation,associated with high evaporative demand,intensified water stress,reducing water availability for the population and local ecosystems.In wet years such as 2008,2011,and 2020,SPEI and EDDI indicated higher moisture levels and drought relief,favoring the recovery of reservoirs.It was also observed that most flash drought episodes evolved into conventional droughts,highlighting their persistence and potential long-term impact.Moreover,the months of May and November presented a higher frequency of flash drought during the wet and dry periods,respectively,negatively impacting most of the studied reservoirs.These findings underscore the need for effective drought monitoring and mitigation strategies to reduce its impacts on agriculture and water resources in the semi-arid area.Early detection and analysis of flash drought are important for improving water resource management and for continuous adaptation to changing drought conditions.
文摘The Philippine economy slowed in 2025 as domestic shocks,weaker investment,and soft global demand weighed on growth.However,a modest recovery is expected in 2026-2027,supported by resilient consumption and easing inflation,according to the World Bank's latest Phil-ippines Economic Update(PEU).
文摘Climate variability significantly impacts agricultural water resources,particularly in regions like Vietnam's Plain of Reeds that heavily utilize rain-fed conditions.This study employs the FAO-AquaCrop model to estimate current and future irrigation water needs for rice cultivation in this critical subregion,aiming to identify optimal sowing schedules(OSS)that enhance rainwater utilization and reduce irrigation dependency.The model was driven by current climate data and future projections(2041-2070 and 2071-2099)derived from downscaled Global Circulation Models under RCP4.5 and RCP8.5 scenarios.The AquaCrop model demonstrated robust performance during validation and calibration,with d-values(0.82-0.93)and R²values(0.85-0.92)indicating strong predictive accuracy for rice yield.Simulation results for efficient irrigation water potential(IWP)under RCP4.5 revealed that strategic shifts in sowing dates can substantially alter water requirements;for instance,advancing the winter-spring sowing to December 5th decreased IWP by 15.6%in the 2041-2070 period,while delaying summer-autumn crop sowing to April 20th increased IWP by 48.6%due to greater reliance on irrigation as rainfall patterns shift.Similar dynamic responses were observed for the 2071-2099 period and for autumn-winter crops.These findings underscore that AquaCrop modeling can effectively predict future irrigation needs and that adjusting cultivation calendars presents a viable,low-cost adaptation strategy.This approach allows farmers in the Plain of Reeds to optimize rainwater use,thereby reducing dependency on supplementary irrigation and mitigating the adverse impacts of climate variability,contributing to more sustainable agricultural water management.
基金Researchers Supporting Project number(RSP2025R87),King Saud University,Riyadh,Saudi Arabia.
文摘Financial integration plays an important role in fostering global economic growth.Energy demand,technology transfer,sustainable production,and climate change have emerged as key drivers of sustainable development.This study explores the influence of financial integration,bolstered by renewable energy-induced trade,industry-driven technology,and environmental concerns,on regional economic growth.This study analyzes a panel of 39 high-and upper-middle-income European and Central Asian countries in 2017–2021.Using a panel generalized method of moments estimator,we reveal an inverted U-shaped relationship between regional economic growth and carbon emissions.Moreover,renewable energy-induced trade contributes positively to regional growth while trade openness and technology transfer further enhance this growth.Industry-driven technology negatively impacts regional growth owing to inadequate financial integration.The absence of sustainable energy infrastructure and industrialization also negatively impacts regional growth.Our study underscores the importance of increasing financial integration to promote sustainable energydriven trade openness and technology transfer in line with the United Nations’sustainable development agenda.
文摘This review takes stock of China’s Double Reduction.In the short run,it lowered visible burden and pushed demand from subject tutoring toward on-campus and non-subject services.But with high-stakes selection unchanged,demand reappears as small-group/one-to-one provision,advantaging families with high socioeconomic status and strong schools.Lasting relief will require tighter oversight and admissions reform with targeted,well-funded in-school support.
文摘In 2024,China’s natural gas sector experienced robust growth in both supply and demand dynamics,as apparent consumption increased rapidly,reaching 426.05 billion m^(3),reflecting a 8.0%year-on-year surge.Domestic gas increase in reserves and production persistently progressed,hitting a production volume of 249.27 billion m^(3) and achieving a six-year consecutive increment exceeding 13 billion m^(3).Imported natural gas continues to grow,with the combined volume of imported pipeline gas and imported LNG expected to reach 180.57 billion m^(3) in 2024,marking an 11.0%year-on-year increase.In 2025,China’s policy aimed at stabilizing growth will continue to exert its influence,maintaining a recovery trend in the national economy with steady progress.The natural gas market is expected to experience rapid growth,with demand primarily driven by industrial fuel and city gas,while the proportion of demand for power generation is anticipated to increase.The national natural gas demand growth rate is projected to be approximately 6%in 2025.
基金supported by the National Natural Science Foundation of China(No.71704178)Beijing Municipal Excellent Talents Foundation(No.2017000020124G133)Major consulting project of the Chinese Academy of Engineering(Nos.2023-JB-08,2022-PP-03).
文摘The proposal of carbon neutrality target makes decarbonization and hydrogenation typical features of future energy development in China.With a wide range of application scenarios,hydrogen energy will experience rapid growth in production and consumption.To formulate an effective hydrogen energy development strategy for the future of China,this study employs the departmental scenario analysis method to calculate and evaluate the future consumption of hydrogen energy in China’s heavy industry,transportation,electricity,and other related fields.Multidimensional technical parameters are selected and predicted accurately and reliably in combination with different development scenarios.The findings indicate that the period from 2030 to 2050 will enjoy rapid development of hydrogen energy,having an average annual growth rate of 2%to 4%.The technological progress and breakthroughs scenario has the greatest potential for hydrogen demand scale among the four development scenarios.Under this scenario,the total demand for hydrogen energy is expected to reach 446.37Mt in 2060.Thetransportation sector will be the sector with the greatest potential for hydrogen deployment growth from 2023 to 2060,which is expected to rise from 0.038Mt to about 163.18Mt,with the ambitious growth in the future.Additionally,hydrogen energy has a considerable development potential in the steel sector,and the trend of de-refueling coke by hydrogenation in this sector will be imperative for this energy-intensive industries.
基金the Science and Technology Project of State Grid Shanxi Electric Power Co.,Ltd.,with the project number 52051L240001.
文摘In contemporary power systems,delving into the flexible regulation potential of demand-side resources is of paramount significance for the efficient operation of power grids.This research puts forward an innovative multivariate flexible load aggregation control approach that takes dynamic demand response into full consideration.In the initial stage,using generalized time-domain aggregation modelling for a wide array of heterogeneous flexible loads,including temperature-controlled loads,electric vehicles,and energy storage devices,a novel calculation method for their maximum adjustable capacities is devised.Distinct from conventional methods,this newly developed approach enables more precise and adaptable quantification of the load-adjusting capabilities,thereby enhancing the accuracy and flexibility of demand-side resource management.Subsequently,an SSA-BiLSTM flexible load classification prediction model is established.This model represents an innovative application in the field,effectively combining the advantages of the Sparrow Search Algorithm(SSA)and the Bidirectional Long-Short-Term Memory(BiLSTM)neural network.Furthermore,a parallel Markov chain is introduced to evaluate the switching state transfer probability of flexible loads accurately.This integration allows for a more refined determination of the maximum response capacity range of the flexible load aggregator,significantly improving the precision of capacity assessment compared to existing methods.Finally,in consonance with the intra-day scheduling plan,a newly developed diffuse filling algorithm is implemented to control the activation times of flexible loads precisely,thus achieving real-time dynamic demand response.Through in-depth case analysis and comprehensive comparative studies,the effectiveness of the proposed method is convincingly validated.With its innovative techniques and enhanced performance,it is demonstrated that this method has the potential to substantially enhance the utilization efficiency of demand-side resources in power systems,providing a novel and effective solution for optimizing power grid operation and demand-side management.
基金supported by National Natural Science Foundation of China(52407126).
文摘The demand response(DR)market,as a vital complement to the electricity spot market,plays a key role in evoking user-side regulation capability to mitigate system-level supply‒demand imbalances during extreme events.While the DR market offers the load aggregator(LA)additional profitable opportunities beyond the electricity spot market,it also introduces new trading risks due to the significant uncertainty in users’behaviors.Dispatching energy storage systems(ESSs)is an effective means to enhance the risk management capabilities of LAs;however,coordinating ESS operations with dual-market trading strategies remains an urgent challenge.To this end,this paper proposes a novel systematic risk-aware coordinated trading model for the LA in concurrently participating in the day-ahead electricity spot market and DR market,which incorporates the capacity allocation mechanism of ESS based on market clearing rules to jointly formulate bidding and pricing decisions for the dual market.First,the intrinsic coupling characteristics of the LA participating in the dual market are analyzed,and a joint optimization framework for formulating bidding and pricing strategies that integrates ESS facilities is proposed.Second,an uncertain user response model is developed based on price‒response mechanisms,and actual market settlement rules accounting for under-and over-responses are employed to calculate trading revenues,where possible revenue losses are quantified via conditional value at risk.Third,by imposing these terms and the capacity allocation mechanism of ESS,the risk-aware stochastic coordinated trading model of the LA is built,where the bidding and pricing strategies in the dual model that trade off risk and profit are derived.The simulation results of a case study validate the effectiveness of the proposed trading strategy in controlling trading risk and improving the trading income of the LA.
文摘A notable shift has captured widespread attention in China’s textile machinery industry this year.Overseas orders from regions such as Southeast Asia and South Asia are growing against the broader market trend.This surge has not only secured the annual production foundation for the sector but also unlocked entirely new growth potential.This phenomenon naturally makes many industry insiders thinking:as the domestic market grapples with challenges like demand restructuring and rising costs,is the growth in overseas orders merely a fallback option or the inevitable outcome of proactive industry upgrading?
基金supported by Science and Technology Program of China Southern Power Grid Corporation under grant number 036000KK52222004(GDKJXM20222117)National Key R&D Program of China for International S&T Cooperation Projects(2019YFE0118700).
文摘The integration of substantial renewable energy and controllable resources disrupts the supply-demand balance in distribution grids.Secure operations are dependent on the participation of user-side resources in demand response at both the day-ahead and intraday levels.Current studies typically overlook the spatial--temporal variations and coordination between these timescales,leading to significant day-ahead optimization errors,high intraday costs,and slow convergence.To address these challenges,we developed a multiagent,multitimescale aggregated regulation method for spatial--temporal coordinated demand response of user-side resources.Firstly,we established a framework considering the spatial--temporal coordinated characteristics of user-side resources with the objective to min-imize the total regulation cost and weighted sum of distribution grid losses.The optimization problem was then solved for two different timescales:day-ahead and intraday.For the day-ahead timescale,we developed an improved particle swarm optimization(IPSO)algo-rithm that dynamically adjusts the number of particles based on intraday outcomes to optimize the regulation strategies.For the intraday timescale,we developed an improved alternating direction method of multipliers(IADMM)algorithm that distributes tasks across edge distribution stations,dynamically adjusting penalty factors by using historical day-ahead data to synchronize the regulations and enhance precision.The simulation results indicate that this method can fully achieve multitimescale spatial--temporal coordinated aggregated reg-ulation between day-ahead and intraday,effectively reduce the total regulation cost and distribution grid losses,and enhance smart grid resilience.
