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.

Analysis on Technical Measures on Energy Saving and Consumption Reducing During Stevia Sugar Production

Based on the analysis of actual energy consumptions during stevia sugar production,practical measures were proposed to save energy（ gas,water and powder） consumption and reduce cost through waste heat recycle and utilization,process improvement,equipment operation efficiency,application of newly energysaving equipment,and some project applications were provided as case study for some techniques and methods adopted in the production.

Working Practice on Energy--saving and Consumption--reducing in Coal Preparation Plant of Baiyuan Colliery

针对白源煤业选煤厂生产成本管理存在的问题进行剖析，通过依靠科技创新，加大技改力度，完善工艺流程，强化管理等措施，进行节能降耗，取得了一定的成效。

An IoT-Based Energy Conservation Smart Classroom System

With the increase of energy consumption worldwide in several domains such as industry,education,and transportation,several technologies played an influential role in energy conservation such as the Internet of Things(IoT).In this article,we describe the design and implementation of an IoT-based energy conser-vation smart classroom system that contributes to energy conservation in the edu-cation domain.The proposed system not only allows the user to access and control IoT devices(e.g.,lights,projectors,and air conditions)in real-time,it also has the capability to aggregate the estimated energy consumption of an IoT device,the smart classroom,and the building based on the energy consumption and cost model that we propose.Moreover,the proposed model aggregates the estimated energy cost according to the Saudi Electricity Company(SEC)rates.Furthermore,the model aggregates in real-time the estimated energy conservation percentage and estimated money-saving percentage compared to data collected when the system wasn't used.The feasibility and benefits of our system have been validated on a real-world scenario which is a classroom in the college of computer science and engineering,Taibah University,Yanbu branch.The results of the experimental studies are promising in energy conservation and cost-saving when using our proposed system.

Energy consumption prediction model of typical buildings in hot summer and cold winter zone of China

To overcome the shortcomings of the energyconsumption prediction models in the application during thedesign stage, a quick prediction model for energy consumptionis proposed based on the decoupling method. Taking typicalresidential and office buildings in hot summer and cold winterzones as research objects, the influence factors on buildingenergy consumption are classified into intrinsic factors andoperational factors on the basis of the heat transfer principle.Then, using the intrinsic factors as the fundamental variablesand operational factors as the modified variables, the quickprediction model for the buildings in typical cold and hot zonesis proposed based on the decoupling method and the accuracyof the proposed model is verified. The results show thatcompared to the simulation results of EnergyPlus, the relativeerror of the prediction model is less than 1.5% ; comparedwith the real operating data of the building, the relative erroris 13.14% in 2011 and 8.56% in 2012 due to the fact that thecoincidence factor becomes larger than the design value about16% in 2011 and 13% in 2012. The finding reveals that theproposed model has the advantages of rapid calculationcompared with EnergyPlus and Design Builder when predictingbuilding energy consumption in building designs. The energyconsumption prediction model is of great practical value inoptimal operation and building designs.

China’s Structural Energy Conservation: Analysis and Proposals

Given the increasing dependence of development on energy consumption, an understanding of the rules and trends of national energy consumption is required for boosting social energy conservation. By using two models -- the structural evolution energy consumption model and the structural evolution per-unit energy consumption model, this article attempts to make an international comparison of the industrial structure development versus energy consumption patterns in the United States, the United Kingdom, France, Germany, Japan, and India. The results of this analysis indicate that the dominance of secondary industry over the industrial structure evolution process noticeably accelerates national energy consumption at the initial stage of modernization. Subsequently, a slowdown in energy consumption as a result of industrial structure development yields effects as the diversification process speeds up. Under such influence, energy consumption per unit of GDP follows an inverted U-shaped curve from rise to decline. As one of the world’s major energy producers and consumers, China has long employed a one- sided sector development policy. Under the influence of this policy, national energy conservation endeavors have been inhibited by the rigidity in its industry structural evolution. Thus, in China, energy consumption per unit of GDP has remained at a high level.

Energy management and coordination control of microgrid in elevated station of urban rail transit

The rapid development of urban rail transit brings convenience to the public,but its huge energy consumption problem cannot be ignored.A microgrid composed of photovoltaic power generation unit,regenerative braking energy feedback unit and battery energy storage unit is proposed,which provides green power for the station.In order to suppress the fluctuation of photovoltaic power generation and the intermittence of regenerative braking feedback energy,the energy management mode of microgrid is designed according to the illumination situation,braking energy feedback situation,battery state of charge and so on.In addition,a coordination control method based on virtual synchronous generator(VSG)is proposed to realize smooth switching among modes.Finally,the proposed energy management and coordination control method for elevated station microgrid is verified by Matlab/Simulink.The results show that the elevated station microgrid can operate safely and reliably under various energy management modes and realize smooth switching among modes.

A review and future prospects of renewable energy in the global energy system

Global energy consumption in the last half century has rapidly increased and is expected to continue to grow over the next 50 years,however,with significant differences.The past increase was stimulated by relatively "cheap" fossil fuels and increased rates of industrialization in North America,Europe and Japan;yet while energy consumption in these countries continues to increase,additional factors make the picture for the next 50 years more complex.These additional complicating factors include China and India's rapid increase in energy use as they represent about a third of the world's population;the expected depletion of oil resources in the near future;and,the effect of human activities on global climate change.On the positive side,the renewable energy(RE) technologies of wind,bio-fuels,solar thermal and photovoltaics(PV) are finally showing maturity and the ultimate promise of cost competitiveness.

Energy Conservation Challenges in Wireless Sensor Networks: A Comprehensive Study

A Wireless Sensor Network (WSN) consists of a large number of randomly deployed sensor nodes. These sensor nodes organize themselves into a cooperative network and perform the three basic functions of sensing, computations and communications. Research in WSNs has become an extensive explorative area during the last few years, especially due to the challenges offered, energy constraints of the sensors being one of them. In this paper, a thorough comprehensive study of the energy conservation challenges in wireless sensor networks is carried out. The need for effective utilization of limited power resources is also emphasized, which becomes pre-eminent to the Wireless Sensor Networks.

Energy Proficient Reduced Coverage Set with Particle Swarm Optimization for Distributed Sensor Network

Retransmission avoidance is an essential need for any type of wireless communication.As retransmissions induce the unnecessary presence of redundant data in every accessible node.As storage capacity is symmetrical to the size of the memory,less storage capacity is experienced due to the restricted size of the respective node.In this proposed work,we have discussed the integration of the Energy Proficient Reduced Coverage Set with Particle Swarm Optimization(PSO).PSO is a metaheuristic global search enhancement technique that promotes the searching of the best nodes in the search space.PSO is integrated with a Reduced Coverage Set,to obtain an optimal path with only high-power transmitting nodes.Energy Proficient Reduced Coverage Set with PSO constructs a set of only best nodes based on the fitness solution,to cover the whole network.The proposed algorithm has experimented with a different number of nodes.Comparison has been made between original and improved algorithm shows that improved algorithm performs better than the existing by reducing the redundant packet transmissions by 18%~40%,thereby increasing the network lifetime.

数字普惠金融对能源环境效率的影响机制与空间效应

在“双碳”约束日益紧迫和经济下行压力加大的现实背景下,数字普惠金融成为城市经济绿色低碳高质量发展的新动能和可持续增长极。使用非径向方向距离函数测算中国2011-2020年273个地级市能源环境效率,实证检验数字普惠金融对能源环境效率的空间效应及其影响机制。研究发现:(1)能源环境效率呈现出正向空间依赖特征,本地区能源环境效率的提高可以对空间关联地区的能源环境效率产生积极影响。(2)数字普惠金融提高了本地区的能源环境效率,且对周边地区的能源环境效率具有显著正向的空间溢出效应。(3)数字普惠金融主要通过推动节能降耗、促进绿色技术创新和优化产业结构三条途径提高能源环境效率,并且数字普惠金融能通过这三条途径同时提高本地区和周边地区的能源环境效率。(4)数字普惠金融对能源环境效率的正向空间溢出效应在使用深度和数字化程度维度、500km范围内、大型城市、非老工业基地和东部城市更加明显。研究结论为中国能源绿色低碳转型的金融服务优化路径提供了科学决策依据。

“双碳”目标下的节水与能源协同发展

水与能源具有复杂的耦合关系。为实现碳达峰碳中和“双碳”目标,有效应对全球气候变化挑战,迫切需要研究能源与节水协同发展的对策与措施,探索实现水资源和能源协同安全保障的技术路径。分析了水与能源的耦合关系以及能源生产和消费的发展趋势,提出了节水与能源协同发展对策:一方面需要在能源生产和消费革命过程中落实量水而行,有效降低对水的依赖和负面影响,并结合新能源发展开拓节水新途径;另一方面应将能源节约和高效利用贯穿于水资源开发利用全过程,在宏观层面控制用水规模,优化供水水源结构和水网布局,并在微观层面上实现水资源供用耗排各环节的能源集约利用。

山区铁路工程节能设计关键要素识别研究

为从设计源头减少山区铁路工程能源消耗总量、优化能源消费结构,充分发挥铁路绿色发展优势,开展山区铁路工程节能研究,识别山区铁路工程节能设计关键要素非常重要。首先,分析山区铁路工程能源消耗,梳理山区铁路线路、桥梁、隧道等重点工程的节能要点。在此基础上,提取山区铁路工程节能设计要素和能源消耗要素,并根据各要素属性特点,明确其量化指标,建立山区铁路工程−能源消耗要素及指标体系。其次,结合CRITIC-熵权法与C-OWA算子法构建“山区铁路工程−能源消耗”双层复杂网络模型,依次确定各要素节点重要度、节点间影响强度和节点综合重要度,用以识别山区铁路工程节能设计关键要素。最后,以某山区重大铁路工程某标段为例,验证方法模型并识别出该标段影响施工阶段的节能设计关键要素为:隧道作业设备选型、隧道出渣控制、隧道通风方式选择;影响运营阶段的节能设计关键要素为:曲线半径设置、线路纵坡设置、线路坡度设置、节能坡设置、客站供热设计、客站体形设计。经验证,构建的山区铁路工程−能源消耗要素及指标体系符合山区铁路工程特点,“山区铁路工程−能源消耗”复杂网络模型具有良好的适用性,识别出的节能设计关键要素及其优化建议可为山区铁路工程节能设计提供参考。

基于节能降耗的飞轮储能电力计量技术

飞轮储能电力计量技术,是一种将飞轮储能与电力计量技术相结合的创新型电力管理技术。飞轮储能以其高功率密度、长寿命、快速响应和环保无污染等特点,在电力系统中展现出巨大的应用潜力。而电力计量技术则是电力系统中的重要组成部分,用于准确计量和监测电能的使用情况。将两者结合,飞轮储能电力计量技术旨在提高电力系统的运行效率,优化资源配置,并推动电力行业的可持续发展。本文从节能降耗的角度出发,分析飞轮储能电力计量技术的应用研究情况,并从多个角度阐述未来飞轮储能电力计量技术的应用研究方向,以实现对电力系统的高效、绿色管理。

炼油厂胺液再生装置节能优化措施应用

醇胺法脱硫是炼油厂最常用的脱硫方法之一,其溶剂N–甲基二乙醇胺更因具有选择性高、再生效果好、不易降解、价格低廉等诸多优点被广泛使用。该文对胺液再生装置能耗现状进行分析,通过对系统胺液提浓降量,引常减压蒸馏装置0.4 MPa蒸汽至再生塔底重沸器,对贫胺液泵进行叶轮切削,更新贫胺液冷却器等措施降低装置能耗。项目实施后减少了1.0 MPa蒸汽、电能和循环水的消耗,增加了装置间低压蒸汽的利用,装置年综合能耗降至3 217 373 kgOE,单位能耗降至3.72 kgOE/t,有效降低了装置能耗。

原油集输系统能耗影响因素的综合判定模型

随着油田生产能源需求的不断增长,原油集输系统在能源供应链中所起的作用日渐显著,其能耗所占比重在整体油田生产中也日益增加,而系统能耗又受到多种因素的制约,如何科学合理地分析集输系统能耗影响因素成为油田面临的重要课题。同时,部分因素之间还会存在交叉影响而造成信息重叠,这给准确把握系统能耗主要影响因素带来较大难度。结合集输系统能耗构成特点和生产实际运行状况,综合考虑产液量、含水率、油品黏度等影响集输系统能耗的客观因素,采用改进熵权法、主成分分析法以及多元逐步回归分析法对各项因素的影响程度进行定量描述,根据权重大小进行排序,并将3种方法结合进行综合判定,确定含水率和产液量为影响油田集输系统能耗的主要影响因素,最后针对主要因素变量对系统的相关制约原因进一步深入探究,并提出系统具体降耗措施,以期为原油集输系统节能提效提供理论参考。

300 MW亚临界汽轮机机组升级改造技术研究方案

碳达峰与碳中和愿景下,300 MW亚临界汽轮机面临节能降耗综合改造压力。文章提出了3种通流改造方案,主再热参数不变的常规通流改造、主再热升参至超临界温度的通流改造、主再热升参至超超临界温度的通流改造方案,对比了3种方案改造收益,为同类型机组改造提供参考意义。

绿色金融改革创新减污降碳效应研究

减污降碳是开展绿色金融的重要目标。本文以绿色金融改革创新试验区的设立作为准自然实验,运用双重差分模型分析绿色金融改革创新试验区对二氧化碳、二氧化硫、氮氧化物的减排效果。结果表明,试验区试点政策对二氧化碳、二氧化硫具有显著的减排效果,但对氮氧化物的减排效果不明显。机制分析表明,试验区试点政策未能通过促进技术创新实现二氧化碳、二氧化硫、氮氧化物的减排,但是能通过降低能耗总量与优化用能结构实现二氧化碳、二氧化硫的减排。异质性分析表明,试验区试点政策的减污降碳效果在东部地区、环境治理力度弱的地区、产业结构高级的地区以及金融发展水平高的地区更加明显。本文为如何优化试验区试点政策效果提供了一定的启示。

水能风机在循环水冷却系统的应用

介绍了循环水冷却系统中采用水能风机代替大功率电动机实现节能降耗的实施措施,分析了改造后带来的经济效益。