Changes of Terrestrial Water Storage in the Yellow River Basin Under Global Warming

The increasing temperature in the Yellow River Basin has led to a rapid rise in the melting level height,at a rate of 5.98 m yr^(-1)during the cold season,which further contributes to the transition from snowfall to rainfall patterns.Between 1979 and 2020,there has been a decrease in snowfall in the Yellow River Basin at a rate of-3.03 mm dec^(-1),while rainfall has been increasing at a rate of 1.00 mm dec^(-1).Consequently,the snowfall-to-rainfall ratio(SRR)has decreased.Snowfall directly replenishes terrestrial water storage(TWS)in solid form until it melts,while rainfall is rapidly lost through runoff and evaporation,in addition to infiltrating underground or remaining on the surface.Therefore,the decreasing SRR accelerates the depletion of water resources.According to the surface water balance equation,the reduction in precipitation and runoff,along with an increase in evaporation,results in a decrease in TWS during the cold season within the Yellow River Basin.In addition to climate change,human activities,considering the region's dense population and extensive agricultural land,also accelerate the decline of TWS.Notably,irrigation accounts for the largest proportion of water withdrawals in the Yellow River Basin(71.8%)and primarily occurs during the warm season(especially from June to August).The impact of human activities and climate change on the water cycle requires further in-depth research.

An Assessment of Storage Terms in the Surface Energy Balance of a Subalpine Meadow in Northwest China

The heat storage terms in the soil-vegetation-atmosphere system may play an important role in the surface energy budget.In this paper,we evaluate the heat storage terms of a subalpine meadow based on a ficld experiment conducted in the complex terrain of the eastern Qilian Mountains of Northwest China and their impact on the closure of the surface energy balance under such non-ideal conditions.During the night, the average sum of the storage terms was -5.5 W m,which corresponded to 10.4%of net radiation.The sum of the terms became positive at 0730 LST and negative again at about 1500 LST,with a maximum value of 19 W mobserved at approximately 0830 LST.During the day,the average of the sum of the storage terms was 6.5 W m,which corresponded to 4.0%of net radiation.According to the slopes obtained when linear regression of the net radiation and partitioned fluxes was forced through the origin,there is an imbalance of 14.0%in the subalpine meadow when the storage terms are not considered in the surface energy balance.This imbalance was improved by 3.4%by calculating the sum of the storage terms.The soil heat storage flux gave the highest contribution(1.59%),while the vegetation enthalpy change and the rest of the storage terms were responsible for improvements of 1.04%and 0.77%,respectively.

Research on data load balancing technology of massive storage systems for wearable devices

Because of the limited memory of the increasing amount of information in current wearable devices,the processing capacity of the servers in the storage system can not keep up with the speed of information growth,resulting in low load balancing,long load balancing time and data processing delay.Therefore,a data load balancing technology is applied to the massive storage systems of wearable devices in this paper.We first analyze the object-oriented load balancing method,and formally describe the dynamic load balancing issues,taking the load balancing as a mapping problem.Then,the task of assigning each data node and the request of the corresponding data node’s actual processing capacity are completed.Different data is allocated to the corresponding data storage node to complete the calculation of the comprehensive weight of the data storage node.According to the load information of each data storage node collected by the scheduler in the storage system,the load weight of the current data storage node is calculated and distributed.The data load balancing of the massive storage system for wearable devices is realized.The experimental results show that the average time of load balancing using this method is 1.75h,which is much lower than the traditional methods.The results show the data load balancing technology of the massive storage system of wearable devices has the advantages of short data load balancing time,high load balancing,strong data processing capability,short processing time and obvious application.

Fuzzy Droop Control for SOC Balance and Stability Analysis of DC Microgrid with Distributed Energy Storage Systems

The unbalanced state of charge(SOC)of distributed energy storage systems(DESSs)in autonomous DC microgrid causes energy storage units(ESUs)to terminate operation due to overcharge or overdischarge,which severely affects the power quality.In this paper,a fuzzy droop control for SOC balance and stability analysis of DC microgrid with DESSs is proposed to achieve SOC balance in ESUs while maintaining a stable DC bus voltage.First,the charge and discharge modes of ESUs are determined based on the power supply requirements of the DC microgrid.One-dimensional fuzzy logic is then applied to establish the relationship between SOC and the droop coefficient R,in the aforementioned two modes.In addition,when integrated with voltage-current double closed-loop control,SOC balance in different ESUs is realized.To improve the balance speed and precision,an exponential acceleration factor is added to the input variable of the fuzzy controller.Finally,based on the average model of converter,the system-level stability of microgrid is analyzed.MATLAB/Simulink simulation results verify the effectiveness and rationality of the proposed method.

Estimation of water balance in the source region of the Yellow River based on GRACE satellite data

Water storage has important significance for understanding water cycles of global and local domains and for monitoring climate and environmental changes. As a key variable in hydrology, water storage change represents the sum of precipitation, evaporation, surface runoff, soil water and groundwater exchanges. Water storage change data during the period of 2003-2008 for the source region of the Yellow River were collected from Gravity Recovery and Climate Experiment （GRACE） satellite data. The monthly actual evaporation was estimated according to the water balance equation. The simulated actual evaporation was significantly consistent and correlative with not only the observed pan （20 cm） data, but also the simulated results of the version 2 of Simple Biosphere model. The average annual evaporation of the Tangnaihai Basin was 506.4 mm, where evaporation in spring, summer, autumn and winter was 130.9 mm, 275.2 mm, 74.3 mm and 26.1 mm, and accounted for 25.8%, 54.3%, 14.7% and 5.2% of the average annual evaporation, respectively, The precipitation increased slightly and the actual evaporation showed an obvious decrease. The water storage change of the source region of the Yellow River displayed an increase of 0.51 mm per month from 2003 to 2008, which indicated that the storage capacity has significantly increased, probably caused by the degradation of permafrost and the increase of the thickness of active layers. The decline of actual evaporation and the increase of water storage capacity resulted in the increase of river runoff.

Investigation of flue gas water-alternating gas (flue gas–WAG) injection for enhanced oil recovery and multicomponent flue gas storage in the post-waterflooding reservoir

Flue gas fooding is one of the important technologies to improve oil recovery and achieve greenhouse gas storage.In order to study multicomponent fue gas storage capacity and enhanced oil recovery(EOR)performance of fue gas water-alternating gas(fue gas-WAG)injection after continuous waterfooding in an oil reservoir,a long core fooding system was built.The experimental results showed that the oil recovery factor of fue gas-WAG fooding was increased by 21.25%after continuous waterfooding and fue gas-WAG fooding could further enhance oil recovery and reduce water cut signifcantly.A novel material balance model based on storage mechanism was developed to estimate the multicomponent fue gas storage capacity and storage capacity of each component of fue gas in reservoir oil,water and as free gas in the post-waterfooding reservoir.The ultimate storage ratio of fue gas is 16%in the fue gas-WAG fooding process.The calculation results of fue gas storage capacity showed that the injection gas storage capacity mainly consists of N_(2) and CO_(2),only N_(2) exists as free gas phase in cores,and other components of injection gas are dissolved in oil and water.Finally,injection strategies from three perspectives for fue gas storage,EOR,and combination of fue gas storage and EOR were proposed,respectively.

Combined Viterbi Detector for a Balanced Code in Page Memories

Based on the two path metrics being equal at a merged node in the trellis employed to describe a Viterbi detector for the detection of data encoded with a rate 6:8 balanced binary code in page-oriented optical memories, the combined Viterbi detector scheme is proposed to improve raw biterror rate performance by mitigating the occurrence of a twobit reversing error event in an estimated codeword for the balanced code. The effectiveness of the detection scheme is verified for different data quantizations using Monte Carlo simulations. Key words holographic data storage - balanced code - modulation code - Viterbi algorithm - path metric CLC number TN 911. 21 Foundation item: Supported by National 973 Research Program of China (G1999033006)Biography: Chen Duan-rong (1960-), male, Lecturer, Ph. D candidate, research direction: coding and signal processing for the recording channel of holographic data storage.

The rehabilitation of a reservoir: A new methodological approach for calculating the sustainable useful storage capacity

Present work introduces the sustainable useful storage capacity as the minimum storage capacity able to satisfy the water demand for drinkable, industrial and irrigational purposes and necessary in order to overcome water deficit situations which, at least in Central Southern Italy, occur in the summer, when agricultural demand is really high. Sediment volumes to be removed from the reservoir bottom will be calculated as the difference between the current and the sustainable useful storage capacities of the reservoir in study. The calculation methodology of the useful sustainable storage capacity, based on the reservoir water balance between inflows at the reservoir and water demand, has been applied to the Camastra reservoir (Basilicata, Southern Italy), for which numerous reliable data including more than 40 years of inflows and water supplied volumes and data relative to 7 bathymetric surveys are available. Result analysis shows that this methodology, at least in the study case, enables sediment quantities to be removed more sustainably from a technical, economical and environmental point of view.

Effects of Aggregate Extraction on Water Storage in the Pepin Creek Watershed, British Columbia, Canada

Aggregate extraction in the Lower Fraser Valley of British Columbia, Canada, has affected the soil water storage of the Pepin Creek watershed. Although local government has set regulations for aggregate extraction projects to avoid negative environmental impacts, the gradual loss of soil materials and associated changes in vegetative cover has led to an alteration of the water balance within the watershed, which may affect surface or groundwater levels, and aquatic habitats. The study assessed the effects of aggregate extraction on the water storage of the Pepin Creek watershed and estimated that 25% of the surface area of the Canadian portion of the watershed has been affected by aggregate mining with an estimated loss of water storage of 10%. Evapotranspiration has decreased as a result of the removal of the vegetative cover. Precipitation has remained relatively constant over the study period but the annual discharge measured at Pepin Creek has decreased. Recommendations for enhancing environmental monitoring to better measure and understand ecological functions of the watershed during aggregate extraction are provided.

Gigawatt Scale Storage for Gigawatt Scale Renewables

Multi-GW renewables need multi-GW storage, or fossil fuelled power stations will be needed to balance for intermittency. For the same reason, such balancing must be able to last for an entire evening peak if renewables are not generating at the same time. Batteries and DSR （demand side response） make very useful contributions and there is a large market for both, but without large scale and long duration storage, they cannot do the job. Interconnectors also contribute to the solution, and storage will make them more profitable, but （taking a UK perspective） Ofgem identified that all our neighbours have similar generation capacity crunches and similar demand patters, so if we need the electricity when they do, we’ll have to pay through the nose for it. Last winter’s ￡ 1,500/MWh prices proved that―even with only 4 GW interconnection. Following exit from the single market, our neighbours will be able to say “our consumers are more important than yours at any price”. We need UK-based storage at the right scale, to store UK-generated electricity for UK use and for export―otherwise we lose security of supply. CAES （compressed air energy storage） and pumped hydro are the only technologies currently able to deliver this scale and duration of storage. Pumped hydro is cost-effective in the long term but there are few sites, and it is （location dependent） over 3x the cost of CAES. Storelectric has 2 versions of CAES： one is a comparable price to existing CAES, but much more efficient （~70% v 50%） and zero emissions （existing CAES emits 50%-60% of the gas of an equivalent sized power station）. The other is retro-fittable to suitable gas power stations, is more efficient （-60% v 50%）, almost halves their emissions, adds storage-related revenue streams and is much cheaper. Both are new configurations of existing and well proven technologies, supported by engineering majors.

35 kV高压直挂大容量电池储能系统

为推动35 kV高压直挂电池储能系统(battery energy storage system,BESS)的实际应用,系统研究了35 kV高压直挂BESS的主电路参数设计、控制策略及相关控制参数的设计方法;并在MATLAB/Simulink中搭建了35 kV/10 MW/10 MWh系统的仿真模型,以验证所提设计方法及控制策略的正确性。研究结果表明:35 kV高压直挂BESS单机容量大,功率响应速度快,可对内部电池簇进行主动荷电状态均衡及故障冗余控制,系统效率和可靠性更高,能适应未来新能源大规模发展需求。

考虑时变线阻的多储能SOC稳定均衡控制策略

在直流微电网中,由于线路阻抗大小差异的复杂化,难以保证各储能单元之间达到荷电状态(state-of-charge,SOC)均衡。为此,提出一种考虑时变线阻的SOC均衡改进控制策略。首先,通过线路阻抗和SOC幂指数构造的平衡因子来修正控制系数,提高SOC的辨识度。同时,利用输出电流来约束平衡因子,提高系统的抗扰能力。在SOC均衡之后,SOC平衡因子G变为1,此时依赖线路阻抗信息但不受线路阻抗变化影响,可平稳地保持电流分配。并且结合输出电流构造的电压补偿环节有效地解决了母线电压质量和SOC均衡控制效果之间的矛盾。其次,针对基于SOC均衡的改进控制策略易受恒功率负载影响的问题,利用混合势函数理论进行建模,得到稳定性判据,有利于保障系统的稳定运行。最后,仿真结果表明,所提出的改进下垂控制能够有效地消除线路阻抗的影响,提高电流分配精度,实现SOC均衡,并验证了在各种突发扰动及极端情况下所提控制策略的有效性和正确性。

部分接入电池储能系统的模块化多电平换流器控制方法

部分接入电池储能系统的模块化多电平换流器(MMC with partly integrated BESS,MMCPBESS)可以在接入储能的同时节约建造成本,但其控制更加复杂。针对下桥臂接入储能电池的MMC-PBESS拓扑,建立数学模型及等效电路。在此基础上给出电容电压均衡策略,提出了上/下桥臂分控的控制策略,并分析了其运行边界。在MATLAB/Simulink平台搭建仿真模型,仿真了不同交直流功率比例的运行工况,所提控制策略可以在维持电容电压平衡的同时实现对电池充电的功能。该策略无需额外的环流计算,上下桥臂控制解耦,简单灵活。

考虑储能充放电均衡度的风储联合调频控制策略

针对储能分组调频的充放电不均衡问题,提出一种考虑储能均衡度的风储联合一次调频控制策略。基于充放电任务分组执行的储能调频原理,建立了最佳放电深度下的储能分组调频充放电数学模型。为改善储能充放电不均衡问题,以储能均衡度构建2组储能的充放电综合下垂控制系数,并设计风储协同控制策略,在储能均衡度偏差较大时通过风机转子动能调频弥补储能功率不足,提升一次调频效果。最后以频率差偏移量及储能均衡度偏移量等作为评价指标进行仿真分析,结果表明所提风储联合调频控制策略有效改善了储能均衡度,降低了其对储能使用寿命的损害程度,同时提升了调频效果。

中国东部陆相断陷盆地页岩油开发理论认识与技术实践——以济阳页岩油为例

以济阳页岩油为代表的中国东部陆相断陷盆地页岩油取得产能突破,但埋藏深、厚度大、成熟度低,地层温度高、压力大,原油流动能力差的特点,使其实现高产稳产面临巨大挑战。基于万米岩心及90余口水平井生产实践,深化发展了“储-缝-压”三元储渗理论,以此为指导形成了页岩油开发甜点立体评价、立体开发优化设计、立体均衡压裂等济阳页岩油开发关键技术体系。理论研究和实践表明:孔隙和多尺度、多类型发育的微缝组成“双储”系统,控制着储集空间及油气富集规律,是高产稳产的物质基础;支撑缝与激活缝耦合形成跨纳米-厘米尺度的“双缝”系统,具有梯级启动特征,是高产稳产的渗流路径;地层保压性好的前提下,压裂增能可有效提高孔缝的渗流能力、增加渗吸置换效率,同时精细控压实现能场协同耦合,可进一步释放页岩油藏产能,保压增压“双压”协同是高产稳产的能量保障;以三元储渗理论为指导形成的开发关键技术体系为多洼陷多层系产能突破提供了有效的技术支撑,对促进中国东部陆相断陷盆地页岩油规模效益开发具有重要意义。

无功补偿与储能集成系统中H桥级联型功率变换器相内SoC快速均衡

无功补偿与储能集成系统应用于风、光电站具有经济性,其中H桥级联型功率变换器具有低功率因数运行特点,提升其相内SoC均衡速度有助于提升电池安全和储能系统容量利用率。在调制约束下,考虑相内SoC均衡中电压无功分量的叠加,分析不同功率因数时功率单元的SoC均衡能力。基于分析,提出相内SoC的快速均衡方法,设计均衡控制电压有功分量叠加方法,充分利用功率单元的SoC均衡能力。基于各功率单元叠加的电压有功分量设计相应单元的无功分量叠加方法,提升功率单元的SoC均衡能力。仿真分析验证了相内SoC快速均衡控制的有效性。

虚拟直流电机荷电状态均衡控制

新型电力系统的惯性低,虚拟直流电机控制可以加强系统惯性和阻尼。多储能变换器应该考虑荷电状态(State of charge,SOC)均衡问题,提高系统稳定性。针对虚拟直流电机控制的多储能SOC均衡问题,利用直流电机机端电压和电枢电流的下垂特性,提出引入SOC离差及变均衡系数的变电枢电阻控制;针对下垂引起的电压偏移问题,采用虚拟直流电机转速补偿,用母线电容瞬时功率替代传统虚拟直流电机控制中电压PI控制,给定系统功率需求,减少比例积分环节个数。以两台蓄电池为例,在Simulink中进行仿真,并与参考文献的变电枢电阻函数对比可知,所提控制策略可抑制直流母线电压跌落,调节SOC均衡过程,提高其均衡速度和精度。

非常规油藏蓄能体积压裂的合理压裂规模研究

蓄能体积压裂是致密油、页岩油主要增产改造技术并成为开发前期主要方式,压裂规模是影响开发成效的重要因素。根据物质平衡原理,建立了未饱和油藏蓄能体积压裂物质平衡方程。经实测数据检验,能够准确预测压裂后井控范围内地层压力和地层压力系数随入地物量的变化规律,解决了蓄能体积压裂入地物量、入地液量定量预测问题,有利于优化压裂规模。结合致密油、页岩油水平井体积压裂投产后平均日产油、无效排液量等开发指标统计和数模预测,认为进液强度15~17 m^(3)/m较为合理。成果认识对于致密油、页岩油蓄能体积压裂开发合理压裂规模确定具有借鉴意义,有助于非常规油藏经济效益开发。

地铁车站月平均气温随运营年限演化特性

建立了地铁车站空气热平衡理论模型,基于区间隧道空气温度和车站围岩土体蓄放热量,得到车站月平均气温在运营初期、中期和远期的逐年演化特性。研究结果表明:随着地铁车站运营年限的增长,月平均气温呈现逐年上升趋势,运营第15年较第1年,车站月平均气温在1月温升最低为3.1℃,8月温升最高为10.6℃;在现有地铁行车密度随运营年限增大的运行模式下,地铁车站运营初期行车密度仅为15对/h,夏季车站最高气温出现在第5年,为26.4℃,远低于夏季站厅站台空调设计温度平均值29℃,所以运营初期车站空调系统提供的冷量远大于车站的冷负荷需求,初期车站空调系统存在一定的节能空间。