Energy Consumption Analysis and Optimization of Electric Submersible Pump System

Electric submersible pumps account for a considerable proportion in the development of the Bohai Oilfield. Improving the system efficiency of the electric submersible pump wells, ensuring that the units operate in the high-efficiency zone, is essential. Analysis shows that the efficiency of the electric submersible pump system depends on the wear and tear of each component of the submersible pump equipment, the setting of operational parameters, and more importantly, the production status and daily management level of the oil well. Therefore, improving the structural performance of the submersible pump product, optimizing the parameters setting of the oil well, strengthening daily management, establishing a scientific management system, and improving the production management process and system can effectively improve the production efficiency and economic benefits of the oil well, and further achieve the goal of energy saving and emission reduction. In addition, it is necessary to actively promote the concept and technology of energy saving and emission reduction, encourage oilfield enterprises to explore effective measures to reduce the energy consumption of the electric submersible pump system by strengthening the scientific management system, and achieve a green, low-carbon, and high-quality development of oilfield production to achieve the unity of economic benefits, social benefits, and environmental benefits. This article applies the above measures in the P oilfield to achieve energy optimization of submersible electric pump systems, reducing the daily power consumption of single well submersible electric pump systems by 371 kWh per day, increasing the submersible electric pump's lifespan by 200 days, generating considerable project benefits.

Standard Gibbs Free Energy of Formation of Zirconium Oxysulphides

1.IntroductionThe chemistry of rare earthoxysulphides is well known [1-5] and theyhave extensive technological applications,but the d-transition metal oxysulphides wasnot known until recently [6-9].Therefore,itis necessary to study the thermodynamicproperties of these compounds.

Interaction Energy Prediction of Organic Molecules using Deep Tensor Neural Network

The interaction energy of two molecules system plays a critical role in analyzing the interacting effect in molecular dynamic simulation.Since the limitation of quantum mechanics calculating resources,the interaction energy based on quantum mechanics can not be merged into molecular dynamic simulation for a long time scale.A deep learning framework,deep tensor neural network,is applied to predict the interaction energy of three organic related systems within the quantum mechanics level of accuracy.The geometric structure and atomic types of molecular conformation,as the data descriptors,are applied as the network inputs to predict the interaction energy in the system.The neural network is trained with the hierarchically generated conformations data set.The complex tensor hidden layers are simplified and trained in the optimization process.The predicted results of different molecular sys tems indica te that deep t ensor neural net work is capable to predic t the interaction energy with 1 kcal/mol of the mean absolute error in a relatively short time.The prediction highly improves the efficiency of interaction energy calculation.The whole proposed framework provides new insights to introducing deep learning technology into the interaction energy calculation.

Study on Ecological Compensation Policy among the Micro Subjects on Water Energy Resources Development

The subjects of ecological compensation involve the nation, society, development enterprises of wa-ter-energy resources, as well as the location of resource itself. This paper systematically studies on how to make “water energy sources market compensation policy”, “the economic compensation policy for relevant interest subjects” and “the ecological compensation policy of basin ecological water.” So, it is necessary to exert the complementary function between market compensation and government compensation by the means of economic compensation and to establish the ecological compensation policy of basin ecological water, which is beneficial to coordinating the stakeholders’ interests of cross-region or inter-basin. And it is important and significant to establish constantly perfected ecological compensation policy among the micro subjects on water energy resources development, so as to coordinate interest relationships among various subjects and finally reach the aim of sustainable use of water energy resources and environmental protection as possible.

Saving Energy for Wireless Transmission:An Important Revelation from Shannon Formula

The reduction of power consumption is important for wireless communications and networks.To develop the energy-saving technologies for future wireless transmissions and networks,this paper presents two basic study points:1)The multiple events are merged into a single event;2)the high-order mode is changed to the low-order mode.For this rea⁃son,we seek that multiple events in wireless transmission links are fused into a single event from Shannon formulas.We also analyze the relationship between the information modula⁃tion and the error correction,and give a fusion structure of error-corrected modulation.The energy-saving performance of the error-corrected modulation method is further analyzed through comparison with the traditional methods of modulation plus error correction.The re⁃sults of numerical analysis demonstrate the wireless energy saving methods for wireless sys⁃tems based on Shannon formulas are the achievable efficient schemes.

A new detection method in studying penetration depth of low-energy heavy ions in botanic samples

A new detection method has been applied to study the penetration depth of low-energy heavy ions in botanic samples. Highly oriented pyrolytic graphite (HOPG) pieces were placed behind the target samples with certain thickness to receive energetic penetrated ions during the irradiation. After irradiation, statistic number density of protrusion-like damage induced by energetic penetrated ions can be ob- tained through scanning tunneling microscope (STM) observation on the surfaces of HOPG. The results of test indicate that the detection limit can be as low as 1.0×109 protrusions/cm2. With the method, the penetration depth of at least 60μm can be detected in kidney bean slices irradiated by N+ ions with dose of 0.3-3×1017ions/cm2.

算力-热力灵活性协同的数据中心能量管理方法

随着数字经济产业快速发展,数据中心成为电能消耗的重要部分。多样化的数据处理需求、大量的计算用电及制冷用电,在带来高能耗问题的同时也为数据中心的运行调度提供了灵活性。因此,协同考虑计算灵活性和热灵活性,制定数据中心优化运行策略,可有效提高能源利用效率,提升数据中心运行经济性。该文提出一种考虑算力-热力灵活性协同的数据中心能量管理方法。首先,考虑数据负载灵活调度、冷却系统温度变化以及冷热通道热惯性等精细化要素,实现了信息技术设备和冷却设备的协同建模。其次,进行模型的线性化转换,降低了求解难度。在此基础上,实现了基于灵活性协同的数据中心能量管理,从而降低数据中心运行能耗及成本。最后通过算例验证了所提方法的有效性。

基于能量均衡的非均匀分簇调度算法

针对无线传感器网络节点能量有限且不可充电的问题,本文提出基于能量均衡的非均匀分簇调度算法(EBNC_CHES)延长网络寿命。EBNC_CHES在麻雀搜索算法的基础上,引入时间竞争机制减少冗余信息获取和能耗传递的同时,采取K-means非均匀分簇均衡簇间网络能量消耗,引入改进的麻雀搜索在簇头选举中均衡簇内能耗。仿真结果表明:该算法与LEACH、EECHS_ISSADE和EESSTBRP相比,冗余信息降低了81%、80%、55%,能耗利用率提高了133%、50%、11.4%,寿命延长了52.8%、43.5%、12.2%。此算法能减少冗余信息,降低网络能耗、延长网络寿命。

改进非洲秃鹫算法的汽车充电站选址方法

充电站选址需要综合考虑多个因素,如充电需求密度、车流密度、车速等,这些因素之间存在复杂的相互关系和约束条件,如何将它们综合考虑是一个难点。为了获取用户满意度较高的选址方案,提出一种考虑交通拥堵的新能源汽车充电站选址优化方法。考虑交通拥堵指数对新能源汽车用户出行和充电站选取的影响,以运营商投资成本最小和用户满意度最大为目标,建立新能源汽车充电站选址优化模型。利用改进非洲秃鹫优化算法对模型求解,确定新能源汽车充电站选址最优解决方案。仿真实验结果表明,所提方法可以有效提升用户满意度,减少网损率和路径长度,获取更加贴合实际需求的新能源汽车充电站选址方案。

基于多层级条件风险价值的高渗透可再生能源电力系统低碳运行联合优化

在双碳目标下,风电渗透率增加给新型电力系统的安稳运行带来挑战,而条件风险价值法(Conditional Value-at-Risk,CVaR)可对风电的随机风险进行分类量化评估,以用于系统调度运行。根据CVaR提出了改进的多层级条件风险价值法(Multi-layer Conditional Value-at-Risk,MCVaR),并建立了基于MCVaR的高渗透可再生能源电力系统低碳运行联合优化模型。仿真算例结果表明,MCVaR相较于CVaR能够显著降低系统的弃风与切负荷量,同时系统的极端损失下降了49.45%。所提方法能够在满足系统可控风险约束的前提下,实现运行经济效益与低碳环保收益的综合最优化。

变分模态分解新能源电力系统低频振荡控制方法

为了提高对高比例新能源电力系统低频振荡能量的计算精度,进而提升低频振荡控制效果,变分模态分解的基础上,研究高比例新能源电力系统低频振荡控制方法。将变分模态分解算法应用于提取电力系统低频振荡信号;使用A3C算法,训练低频振荡能量;通过返回机制和梯度计算获取低频振荡的能量参数,利用这些参数建立二维模糊控制的模糊规则,然后对输出量进行去模糊化处理,从而实现对低频振荡的有效控制。实验结果表明,使用所设计方法对高比例新能源电力系统低频振荡进行控制后,其低频振荡位于0.5 Hz左右,控制效果较好。

计及氢储能-制氨-碳捕集的综合能源系统低碳优化调度

针对高风光渗透率的综合能源系统存在的弃能及备用压力问题,考虑氢能单元、碳捕集和制氨装置联合运行,提出了一种含氢能、氨能与碳捕集的综合能源系统低碳优化调度方法,以提升系统的风光消纳能力和运行灵活性。一方面,提出了综合能源系统的运行框架,分析了氢能单元、制氨装置和火电机组掺氨燃烧以及碳捕集装置参与消纳风光的灵活经济运行策略,并进行了机理分析与建模;另一方面,为了缓解系统备用压力,建立了氢能单元-碳捕集-火电协同备用优化模型,挖掘氢能单元与碳捕集装置的备用能力,进而以总运行成本最小为目标,建立了综合能源系统的低碳经济调度模型。基于改进的IEEE 39节点系统进行仿真分析,结果验证了所提调度方法的有效性和可行性。

寒冷地区近零能耗建筑参数优化研究

针对寒冷地区近零能耗建筑的围护结构在夏季会增加室内制冷能耗的问题,提出在夏季和过渡季采用空调与自然通风系统相结合的节能方法,运用EnergyPlus软件模拟研究窗墙面积比、外窗太阳得热因数、窗户传热系数、外墙传热系数、外遮阳悬挑梁长度等5个参数对建筑能耗的影响,通过正交试验确定最优因素水平组合.研究结果显示,优化建筑与既有建筑相比,全年供暖制冷综合能耗可节约43.7%.

考虑多源协同的主动配电网故障恢复策略

随着科技的发展,主动配电网中面临了多项重要问题,首先,随着大量柔性负荷和电动汽车的接入,负荷种类显著多元化,增加了电网管理的复杂性。其次,可再生能源的随机性和波动性对电网的故障恢复提出了重要挑战。为了应对这些问题,研究提出了一种针对各种能源互动的主动配电网故障恢复策略。该策略建立了一个优化模型,以最大数量可控分布式电源行动和最小功率损失为目标,同时满足系统安全约束。为了建立该模型,使用了改进的二进制粒子群算法和遗传算法。通过在IEEE33节点配电网模型上的仿真分析,实验结果表明,该策略能够有效降低电网损失,并最大程度地恢复失电负荷,为面对可再生能源和多元化负荷挑战的电网管理提供了一种潜在的解决方案。

面向地外天体探测的机器人能源自主补给系统设计与集成试验

远离地球进行地外天体探测的机器人系统,在无人条件下长期执行任务需要自我维持。借鉴自然界生态圈的运行机制,提出了机器人生态圈概念,给出了基于突变点检测和无线充电的机器人能源补给方案,并进行了地面试验验证。移动机器人通过激光雷达信息和突变点检测算法识别能源补给系统的标志物,实现了精确对接,并以非接触方式完成了能源传输。试验结果表明,该方案能够完成机器人的无人自主能源补给,可用于地外天体探测、设施建造等任务。

碳化硅衬底磨抛加工技术的研究进展与发展趋势

碳化硅衬底难加工的材料特性叠加其大尺寸化、超薄化的放大效应,给现有的加工技术带来了巨大的挑战,高效率、高质量的碳化硅衬底加工技术成了当下的研究热点.本文综述了碳化硅衬底机械磨抛加工技术和化学反应磨抛加工技术的研究进展,对比各类磨抛技术的特点,指出碳化硅衬底磨抛加工技术面临的挑战和发展趋势,以期为大尺寸碳化硅衬底的高质量、高效率、低成本加工提供新的思路和方法.

基于LMD与AO-PNN的中介轴承故障诊断方法

针对航空发动机中介轴承受噪声干扰大、传递路径复杂导致采用传统方法难以进行故障诊断的问题,提出了一种基于局部均值分解(LMD)与相关系数-能量比-峭度准则、结合天鹰座优化算法(AO)优化概率神经网络(PNN)的中介轴承故障诊断方法。使用LMD对传感器采集的振动信号进行分解;利用相关系数-能量比-峭度准则判决筛选分解得到的PF分量,重构筛选后的信号;计算重构信号的多尺度排列熵(MPE),以构建特征向量;通过AO优化的PNN的平滑因子,将优化后的神经网络用于中介轴承的故障诊断。基于中介轴承故障试验数据对诊断结果进行了分析,结果表明:提出的方法可以有效诊断高背景噪声、复杂路径干扰下的航空发动机中介轴承的典型故障,与粒子群优化的概率神经网络方法(PSO-PNN)和传统的PNN方法相比,其诊断准确率分别提高了3.875%和8.125%,具有较好的全局收敛性和计算鲁棒性。

基于大语言模型绿电预测和绿电交易的园区综合能源系统集群多目标协同运行方法

为实现传统工业园区数字化和智能化升级,助力区域高质量发展,亟需园区智能化调度模型。为此,该文结合智慧园区管理系统和园区综合能源系统物理模型建立园区综合能源系统集群架构,提出了园区综合能源系统集群绿电交易三阶段协同运行方法,以解决多园区综合能源系统绿电交易的问题,实现分布式绿电的精准预测以及就地消纳。首先,基于大语言模型LLAMA-7B实现绿电预测,进一步以绿电功率划分购售电园区。其次,基于绿电价格配额曲线预测模型和动态绿电定价策略,制定园区间绿电交易差异价格。在此基础上,建立了多目标低碳经济优化运行模型,从而解决绿电交易所带来的经济因素和环境因素的矛盾问题。算例分析表明:所提出的模型可以统筹规划园区综合能源系统集群的经济成本、实际碳排放量和新能源利用率,对多园区综合能源系统的智能调度具有积极的推动作用。

考虑广义储能参与的多园区综合能源系统低碳优化运行策略

针对当前多园区综合能源系统(MPIES)大规模建设实体储能可能带来的造价高、投资周期长等问题,将广泛分布的柔性电负荷、热惰性空调-建筑、电储和热储整合为广义储能(GES)资源进行统一协调调度,并针对不同利益主体园区在联合运行的低碳需求,提出一种含GES的MPIES分布式低碳优化运行策略。构建考虑改进的热电联产系统和GES系统的园区低碳运行模型。在此基础上,考虑MPIES能源交易中各园区的利益诉求,基于纳什议价理论构建碳交易机制下园区群体利益的合作运行模型,并运用交替方向乘子法对模型进行求解。提出一种可以解决各园区源-荷差异的能量共享策略和一种根据各园区能量贡献度进行非对称议价的利益分配机制。为了充分保证各园区的信息隐私,在各园区间仅交互有限信息的基础上达到博弈均衡。通过算例分析证明了所提方法在减少碳排放、提升个体和联盟效益方面的有效性以及GES参与调控的优越性。

考虑新能源场站闲置储能的储能电站两阶段配置优化研究

为提高新能源并网的稳定性,配置储能装置是必要的,但储能装置的过量配置可能造成建设成本的增加和利用效率的降低。针对这一问题,提出一种优化配置方法,旨在利用新能源场站的闲置储能来降低第三方储能电站的建设成本。该方法分为两个阶段:第一阶段,构建以风光消纳最大化为目标的新能源场站储能装置优化调度模型;第二阶段,在评估新能源场站剩余储能容量后,以第三方储能电站的运营收益最大化为目标,对储能电站容量进行优化配置。最后,通过算例分析证明,相比于独立建设储能电站,基于本文方法的第三方储能电站在储能配置容量上有所减小,且建设及维护成本显著降低。