Research on a TOPSIS energy efficiency evaluation system for crude oil gathering and transportation systems based on a GA-BP neural network

As the main link of ground engineering,crude oil gathering and transportation systems require huge energy consumption and complex structures.It is necessary to establish an energy efficiency evaluation system for crude oil gathering and transportation systems and identify the energy efficiency gaps.In this paper,the energy efficiency evaluation system of the crude oil gathering and transportation system in an oilfield in western China is established.Combined with the big data analysis method,the GA-BP neural network is used to establish the energy efficiency index prediction model for crude oil gathering and transportation systems.The comprehensive energy consumption,gas consumption,power consumption,energy utilization rate,heat utilization rate,and power utilization rate of crude oil gathering and transportation systems are predicted.Considering the efficiency and unit consumption index of the crude oil gathering and transportation system,the energy efficiency evaluation system of the crude oil gathering and transportation system is established based on a game theory combined weighting method and TOPSIS evaluation method,and the subjective weight is determined by the triangular fuzzy analytic hierarchy process.The entropy weight method determines the objective weight,and the combined weight of game theory combines subjectivity with objectivity to comprehensively evaluate the comprehensive energy efficiency of crude oil gathering and transportation systems and their subsystems.Finally,the weak links in energy utilization are identified,and energy conservation and consumption reduction are improved.The above research provides technical support for the green,efficient and intelligent development of crude oil gathering and transportation systems.

Carbon efficiency evaluation method for urban energy system with multiple energy complementary

Urban energy systems(UESs)play a pivotal role in the consumption of clean energy and the promotion of energy cascade utilization.In the context of the construction and operation strategy of UESs with multiple complementary energy resources,a comprehensive assessment of the energy efficiency is of paramount importance.First,a multi-dimensional evaluation system with four primary indexes of energy utilization,environmental protection,system operation,and economic efficiency and 21 secondary indexes is constructed to comprehensively portray the UES.Considering that the evaluation system may contain a large number of indexes and that there is overlapping information among them,an energy efficiency evaluation method based on data processing,dimensionality reduction,integration of combined weights,and gray correlation analysis is proposed.This method can effectively reduce the number of calculations and improve the accuracy of energy efficiency assessments.Third,a demonstration project for a UES in China is presented.The energy efficiency of each scenario is assessed using six operational scenarios.The results show that Scenario 5,in which parks operate independently and investors build shared energy-storage equipment,has the best results and is best suited for green and low-carbon development.The results of the comparative assessment methods show that the proposed method provides a good energy efficiency assessment.This study provides a reference for the optimal planning,construction,and operation of UESs with multiple energy sources.

Evaluation of Energy Efficiency and Analysis of Influencing Factors of Company CW’s Manufacturing Workshops

In this work,the Slacks-Based Measure(SBM)model within Data Envelopment Analysis was employed to establish a set of indicators for evaluating the energy efficiency of manufacturing workshops.The energy efficiency of 12 Company CW’s manufacturing workshops from 2016 to 2022 was assessed.The findings indicated that aside from a few workshops operating at the production frontier,the rest exhibit significant fluctuations in energy efficiency and generally low energy efficiency.Subsequently,a combined GRA-Tobit analysis model was introduced to identify factors influencing the energy efficiency of Company CW’s manufacturing workshops.Regression analysis revealed that technological investments,employee quality,workshop production scale,investment in clean energy,and the level of pollution control all significantly impact the energy efficiency of Company CW’s manufacturing workshops.By evaluating the energy efficiency of Company CW’s manufacturing workshops and studying their influencing factors,this research aids company managers in understanding the energy efficiency of the manufacturing process.It optimizes the combination of various production elements,thereby offering effective guidance for improving the energy efficiency issues of the company’s manufacturing workshops,which can contribute to enhancing the corporation’s overall energy efficiency.

Analysis of the integrated test and evaluation methods of tidal current energy generating devices in the offshore testing site

Actual sea condition testing and inspection and evaluation method research are carried out for tidal energy devices to provide scientific and effective technical support for the ocean high-tech achievement transformation and marine renewable energy development. By analyzing three core indicators, including the power output characteristics of the tidal current device, the generating capacity, energy conversion efficiency, proposed the test contents and evaluation methods of indicators are proposed in this paper; and based on the research of wind farms, power quality testing and assessment methods of offshore tidal energy device are proposed; given the security access to the test contents of tidal current energy device, tidal current energy device running conditions in the testing ground are comprehensively assessed.

Promoting energy efficiency reconstruction for existing buildings based on comprehensive benefit evaluation

The purpose of the comprehensive benefit evaluation of the existing building energy saving renovation project is to promote the healthy development of the energy saving reconstruction. Therefore, it is necessary to reflect the value and function of incentive and restraint. The concrete embodiment is that: improving energy saving standard renovation of existing buildings, promoting the construction of energy efficiency labeling system, and strengthening the construction of government supervision system by the comprehensive benefit evaluation.

Energy efficiency evaluation based on DEA integrated factor analysis in ethylene production

Energy efficiency evaluation plays an important role in energy efficiency improvement of the ethylene production. It is observed from the actual production data that the ethylene production energy efficiency often varies with the complex production working conditions. In the favored methods for energy efficiency evaluation,DEA models may show poor resolution when directly used to evaluate the efficiency values. Therefore, a new energy efficiency evaluation method for ethylene production is proposed based on DEA integrated factor analysis with respect to operation classification. Three key factors, including raw material composition, cracking depth and load rate, are taken into account in determining the production working conditions by means of k-means algorithm. Based on the multi-working conditions mode the energy efficiency evaluation of the ethylene production is made by using DEA model, where the most related energy data are screened by factor analysis.Furthermore, the supporting decision of energy efficiency improvement is provided to the operators. The accuracy and effectiveness of the proposed method are illustrated by applying in a practical ethylene production,which gives more effective energy efficiency evaluation in the complicated working conditions of ethylene production with declined dimension of input indicators.

Comprehensive review and performance evaluation of maximum power point tracking algorithms for photovoltaic system

A photovoltaic array is environmentally friendly and a source of unlimited energy generation.However,it is presently a costlier energy generation system than other non-renewable energy sources.The main reasons are seasonal variations and continuously changing weather conditions,which affect the amount of solar energy received by the solar panels.In addition,the non-linear characteristics of the voltage and current outputs along with the operating environment temperature and variation in the solar radiation decrease the energy conversion capability of the photovoltaic arrays.To address this problem,the global maxima of the PV arrays can be tracked using a maximum power point tracking algorithm(MPPT)and the operating point of the photovoltaic system can be forced to its optimum value.This technique increases the efficiency of the photovoltaic array and minimizes the cost of the system by reducing the number of solar modules required to obtain the desired power.However,the tracking algorithms are not equally effective in all areas of application.Therefore,selecting the correct MPPT is very critical.This paper presents a detailed review and comparison of the MPPT techniques for photovoltaic systems,with consideration of the following key parameters:photovoltaic array dependence,type of system(analog or digital),need for periodic tuning,convergence speed,complexity of the system,global maxima,implemented capacity,and sensed parameter(s).In addition,based on real meteorological data(irradiance and temperature at a site located in Addis Ababa,Ethiopia),a simulation is performed to evaluate the performance of tracking algorithms suitable for the application being studied.Finally,the study clearly validates the considerable energy saving achieved by using these algorithms.

Integrated energy efficiency evaluation of a multi-source multi-load desalination micro-energy network

With increasing global shortage of fresh water resources,many countries are prioritizing desalination as a means of utilizing abundantly available seawater resources.Integrated energy efficiency evaluation is a scientific method for the quantitative analysis of energy efficiency based on multiple indicators and is very useful for investment,construction,and scientific decision-making for desalination projects.In this paper,the energy efficiency evaluation of the micro energy network (MEN) of desalination for multi-source and multi-load is studied,and the basic idea of comprehensive energy efficiency evaluation is analyzed.The process includes the use of a MEN model to establish an integrated energy efficiency evaluation index system,taking into consideration energy,equipment,economic,environmental,and social factors.A combined evaluation method considering subjective and objective comprehensive weights for multi-source multi-load desalination MENs is proposed to evaluate the energy efficiency of desalination and from multiple perspectives.

Water, land, and energy use efficiencies and financial evaluation of air conditioner cooled greenhouses based on field experiments

High temperature and humidity can be controlled in greenhouses by using mechanical refrigeration cooling system such as air conditioner(AC)in warm and humid regions.This study aims to evaluate the techno-financial aspects of the AC-cooled greenhouse as compared to the evaporative cooled(EV-cooled)greenhouse in winter and summer seasons.Two quonset single-span prototype greenhouses were built in the Agriculture Experiment Station of Sultan Qaboos University,Oman,with dimensions of 6.0 m long and 3.0 m wide.The AC-cooled greenhouse was covered by a rockwool insulated polyethylene plastic sheet and light emitting diodes(LED)lights were used as a source of light,while the EV-cooled greenhouse was covered by a transparent polyethylene sheet and sunlight was used as light source.Three cultivars of high-value lettuce were grown for experimentation.To evaluate the technical efficiency of greenhouse performance,we conducted measures on land use efficiency(LUE),water use efficiency(WUE),gross water use efficiency(GWUE)and energy use efficiency(EUE).Financial analysis was conducted to compare the profitability of both greenhouses.The results showed that the LUE in winter were 10.10 and 14.50 kg/m^(2) for the AC-and EV-cooled greenhouses,respectively.However,the values reduced near to 6.80 kg/m^(2) in both greenhouses in summer.The WUE of the AC-cooled greenhouse was higher than that of the EV-cooled greenhouse by 3.8%in winter and 26.8%in summer.The GWUE was used to measure the total yield to the total greenhouse water consumption including irrigation and cooling water;it was higher in the AC-cooled greenhouse than in the EV-cooled greenhouse in both summer and winter seasons by almost 98.0%–99.4%.The EUE in the EV-cooled greenhouse was higher in both seasons.Financial analysis showed that in winter,gross return,net return and benefit-to-cost ratio were better in the EVcooled greenhouse,while in summer,those were higher in the AC-cooled greenhouse.The values of internal rate of return in the AC-and EV-cooled greenhouses were 63.4%and 129.3%,respectively.In both greenhouses,lettuce investment was highly sensitive to changes in price,yield and energy cost.The financial performance of the AC-cooled greenhouse in summer was better than that of the EV-cooled greenhouse and the pattern was opposite in winter.Finally,more studies on the optimum LED light intensity for any particular crop have to be conducted over different growing seasons in order to enhance the yield quantity and quality of crop.

Performance Evaluation of Listed Companies in New-Energy Automotive Industry

As one of the national strategic emerging industries, new-energy-automobile industry has been caused people’s attention increasingly. Therefore, improving the new energy industry listing corporation performance, not only can alleviate the pressure on energy and the environment, but also can conducive to accelerating the transformation and upgrading of the automotive industry. Moreover, it can foster new economic point of growth and international competitiveness. This essay uses the super efficiency DEA model and Malmquist index method to analyze the performance of new-energy-automotive industry listing corporation. The data is from Year 2011 to 2013. Finally according to the conclusion of the empirical research, this paper made several suggestions to improve the operational efficiency of China’s new energy automobile enterprises and promote new energy-automobile industry.

An Energy Efficiency Assessment Method for Distribution Network Containing DG

Energy efficiency assessment of distribution network containing distributed generation is one of the core contents of power grid construction. Aiming at the lack of a quantitative evaluation method for energy efficiency of distribution network containing distributed generation, a novel energy efficiency assessment method based on the super-efficiency model is proposed. Starting from the basic elements and operational requirements of the distribution network containing distributed generation, the energy efficiency assessment metric set is constructed. On this basis, the concept of generalized energy efficiency function is defined, and the super-efficiency model is used to assess the energy efficiency of the distribution network containing distributed generation. Finally, an example is given to evaluate and analyze energy efficiency. The results confirm the validity of the proposed method.

Evaluation of an Agent Based Monitoring and Brokerage System for Neighbourhood Electricity Usage Optimization

The current paper presents the evaluation results of a monitoring system, developed within NOBEL （Neighbourhood Oriented Brokerage Electricity） project. NOBEL is an EU funded project of the 7th Framework Programme that developed a pilot monitoring and energy brokerage system, within a local electricity network, aiming to the optimization of energy usage by reducing consumption and maximizing RES （renewable energy sources） usage on neighbourhood level. A holistic evaluation methodology was followed encompassing all aspects, focusing on the enhancement of energy efficiency due to NOBEL system. In specific, indicators related to energy and monetary impacts were analysed and finally assessed. The system was tested through pilot trials in Alginet, a village in Spain. NOBEL managed to achieve total energy savings of 12%, contributing also to respective emissions reduction and to economic benefits for brokerage platform participants. Analytic results and conclusions are presented in the current manuscript that will assess the project＇s system overall performance.

Building a sustainable organizational energy evaluation system in the Asia Pacific

In the face of climate change and with the vision for the future of humanity represented by the Sustainability Development Goals,sustainability has become associated with the major and rapid transformation of global systems and the resilience of transformed systems to adapt over time.This dynamic view of transformation has implications for both the design of tran sformatio nal energy in itiatives and their evaluation.As there is an urge nt n eed to evaluate the scale,scope,nature,and sufficiency of transformation toward planetary sustainability,a framework(model)is proposed to determine the most effective en ergy evaluati on capacity buildi ng strategies for achievi ng various in dividual and group level outcomes,most effective strategies for certain types of participants,and design of different strategies to maximize their impact in a sustainable way.Furthermore,a new energy evaluation organization is identified,which is expected to lead us into this new era.

基于Android的工业锅炉物联网总体架构体系研究

为了实现工业锅炉能效的在线监测,将Android操作系统作为载体,在此基础上建立锅炉物联网系统。采用物联网技术作为系统的核心技术,对锅炉的运行状态进行远程监控。利用C++语言完成系统程序的编写,并采用多个函数对控制器节点进行循环控制。在系统控制器中增加Watch-Dog电路,通过该电路实时监测控制器对锅炉运行状态的控制情况,有利于提高锅炉的安全性。将物联网系统应用于工业领域中,可为工业领域的未来发展奠定基础。

Timetabling optimization of classrooms and self-study rooms in university teaching buildings based on the building controls virtual test bed platform considering energy efficiency

The energy consumption of a teaching building can be effectively reduced by timetable optimization.However,in most studies that explore methods to reduce building energy consumption by course timetable optimization,self-study activities are not considered.In this study,an MATLAB-EnergyPlus joint simulation model was constructed based on the Building Controls Virtual Test Bed platform to reduce building energy consumption by optimizing the course schedule and opening strategy of self-study rooms in a holistic way.The following results were obtained by taking a university in Xi’an as an example:(1)The energy saving percentages obtained by timetabling optimization during the heating season examination week,heating season non-examination week,cooling season examination week,and cooling season non-examination week are 35%,29.4%,13.4%,and 13.4%,respectively.(2)Regarding the temporal arrangement,most courses are scheduled in the morning during the cooling season and afternoon during the heating season.Regarding the spatial arrangement,most courses are arranged in the central section of the middle floors of the building.(3)During the heating season,the additional building energy consumption incurred by the opening of self-study rooms decreases when duty heating temperature increases.

Operational mechanism of comprehensive benefit evaluation of existing building energy efficient renovation project based on value-added life

The comprehensive benefit evaluation of the existing building energy efficient renovation project cannot be separated from the scientific and effective evaluation mechanism.Based on the value-added life perspective,this paper analyzes the implementation subject,standard,system and principle of the comprehensive benefit evaluation of the existing building energy efficient renovation project.It plans the process of comprehensive benefit evaluation,and builds a scientific and reasonable operation platform of evaluation system,with a view to promoting the effective implementation of the comprehensive benefit evaluation of existing building energy-saving retrofits.

Experimental Evaluation of Medium-Voltage Cascode Gallium Nitride(GaN)Devices for Bidirectional DC-DC Converters

Wide bandgap(WBG)semiconductors,such as silicon carbide(SiC)and gallium nitride(GaN),exhibit superior physical properties and demonstrate great potential for replacing conventional silicon(Si)semiconductors with WBG technology,pushing the boundaries of power devices to handle higher blocking voltages,switching frequencies,output power levels,and operating temperatures.However,tradeoffs in switching performance and converter efficiency when substituting GaN devices for Si and SiC counterparts are not well-defined,especially in a cascode configuration.Additional research with further detailed investigation and analysis is necessitated for medium-voltage GaN devices in power converter applications.Therefore,the aim of this research is to experimentally investigate the impact of emerging 650/900 V cascode GaN devices on bidirectional dc-dc converters that are suitable for energy storage and distributed renewable energy systems.Dynamic characteristics of Si,SiC,and cascode GaN power devices are examined through the double-pulse test(DPT)circuit at different gate resistance values,device currents,and DC bus voltages.Furthermore,the switching behavior and energy loss as well as the rate of voltage and current changes over the time are studied and analyzed at various operating conditions.A 500 W experimental converter prototype is implemented to validate the benefits of cascode GaN devices on the converter operation and performance.Comprehensive analysis of the power losses and efficiency improvements for Si-based,SiC-based,and GaN-based converters are performed and evaluated as the switching frequency,working temperature,and output power level are in-creased.The experimental results reveal significant improvements in switching performance and energy efficiency from the emerging cascode GaN devices in the bidirectional converters.

Energy Efficiency of Washing Machines

This paper makes a technical analysis of the methods to increase the energy efficiency of washing machines for student education.Starting from the definition given by the Energy Efficiency Index,the present analysis proposes two methods for increasing the energy efficiency of the washing machines by modifying the standard annual energy consumption(SAEc)and by modifying the annual energy consumption(AEc).These two methods are made per kilogram of clothes for washing machines from the same brand in different energy classes and for washing machines of two different brands.The models analyzed were chosen according to their energy rating A++and A+++.The results of this analysis propose the energy savings as an energy indicator to inform buyers in choosing a brand and energy class of the washing machine.

大庆油田能效评价指标体系及能效综合评价方法研究

针对现行油田主要生产系统能效评价指标及其限值和评价方法对于大庆油田不完全适用的问题,根据工作内容,将油田生产系统划分为机采、集输、注水3个子系统;根据用能的关联性,将油田生产系统划分为机采集输和注水两个子系统,对于这两种子系统的划分,分别建立了能效评价指标体系。体系中的能效评价指标均分为系统级、单元级和设备级3个层级;明确了体系中各项指标的定义、计算方法、基础参数来源及统计口径。基于大庆油田实际情况,根据开采区块类型、驱替方式等,将测试数据进行分组,用统计方法确定每组各个能效指标的优良和合格限值;建立了单项与多项组合的油田生产系统加权能效综合评价方法,该方法综合考虑系统效率或系统单耗及其影响因素,在以较大权重计入系统级指标的同时,以较小的权重计入主要影响因素,即在要求系统指标的同时,也对单元级和设备级指标提出要求,从而分析评定所评价系统能效的提升空间。应用此评价方法对6个机采系统、1个集输和1个机采集输系统进行了能效综合评价。

济阳坳陷页岩油注二氧化碳开发技术

围绕页岩油注CO_(2)开发存在的问题,通过室内实验、数值模拟与压裂工艺相结合的方式,开展了页岩油注CO_(2)萃取置换机理、CO_(2)前置液对页岩力学性质影响的室内实验,模拟了CO_(2)前置压裂和吞吐补能对开发效果的影响,并将成果应用于CO_(2)前置压裂和单井吞吐矿场实践。研究表明:CO_(2)吞吐作用效果受微纳尺度效应及干酪根、吸附油存在等的影响,适当延长焖井时间可提高原油动用程度。在CO_(2)“注、焖”阶段,CO_(2)通过溶解扩散和传质作用提高重烃的动用程度,在CO_(2)“吐”的阶段,CO_(2)主要将较大孔隙中的原油排出至周边更大的孔隙或层理缝中流入生产井。注入CO_(2)前置液有助于保持岩心脆性,降低破裂压力,CO_(2)易沿层理面滤失,从而提高裂缝复杂程度。前置CO_(2)注入量增加会提升增能效果,从而增强地层能量的补充作用。页岩基质渗透率越低、地层压力越低、原油重烃含量越高,注CO_(2)吞吐开发后,采收率提高幅度越大。矿场实践表明,CO_(2)前置压裂后压力保持良好,单井CO_(2)吞吐后可有效补充地层能量,提高单井产能,效果良好。