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.

The Five-Year Plan: A new tool for energy saving and emissions reduction in China

China has achieved economic growth while great carbon emissions reduction in recent years. Amid China＇s effort to reduce emissions, the Five-Year Plans have guided and motivated local and foreign forces from the government, industries, and society to work together. This paper showed that a mediumehigh economic growth gate, industry structure adjustment, and energy structure adjustment, which are guaranteed under the Five-Year Plan, all contribute to energy saving in China. The economy entered a stable growing phase during the 12 th Five-Year Plan, while the economic growth rate declined to 7.8% from 11.2% in the 11 th Five-Year Plan. Simultaneously, the CO2 emissions growth rate declined from8.32%（2009-2012 mean） to 1.82%（2012-2014 mean）. Industrial structure adjustment canceled out nearly one-third of the CO2 emissions caused by economic growth. Under the 13 th Five-Year Plan, China will continue its energy saving efforts on the green development path, with greener quotas, a stricter implementation process, and more key projects.

Study on Objectives and Strategies for Energy Conservation and Emission Reduction in Transportation Industry during the 13th Five-Year Plan Period in Beijing

Facing increasing passenger and cargo transport demand and limited re-source in the 13th Five-Year period, how to make a breakthrough and substantial progress has become a key issue on planning and the Top-level Design. In this paper we judged and analyzed the current development and potential demand of the energy saving and emission reduction in Beijing traffic industry. Through application of energy and emission prediction model which based on the vehicle activity data, the development goals of “one drop, double control, and triple upgrade” have been put forward. In order to achieve the goal, “5 + 1” development strategies should be implemented, and we also proposed the thinking and recommendations on sustainable development of transportation.

Energy Saving and Emission Reduction Estimations of Electrified Railways in China

Based on the annual production data collected by the Statistic Center of the Ministry of Railways of the People＇s Republic of China, we calculated the energy saving and direct emission reductions of CO2, soot, SO2, CO, NOx and CnHm of electrified railways, and analyzed their dynamic characteristics during the period of 1975 2007. The results show that during this period, the annual mean values of energy saving is 1.23×10^6 tce, and direct emission reduction of CO2, soot, SO2, CO, NOx and CnHm are 4.267×10^6 t, 20.5×10^3 t, 3.0×10^3 t, 9.6×10^3 t, 67.9×10^3 t, and 6.9×10^3 t per year, respectively. The annual average increasing rates of energy saving is 139×10^3 tce, and direct emission reduction of CO2, soot, SO2, CO, NOx and CnHm are 483×10^3 t, 2.3×10^3 t, 0.34×10^3 t, 1.1×10^3 t, 7.7 ×10^3 t and 0.78×10^3 t per year, respectively. The electrified railways have played an important role in decreasing the energy consumption and air pollutant emissions of China＇s railway system. The results of this study could provide some reference knowledge for future reductions of energy consumption and waste gas emission in China＇s railway transportation.

Utilization of Livestock's Dejection as Biogas Origin in Building New Countryside in Heilongjiang Province--Developing Utilization of Biogas and Promoting Energy-saving and Emission Reduction

With the startup and execution of new socialistic countryside construction in Heilongjiang Province,the transition from castoff to resource is strengthened in the countryside,aiming at neat appearance of the countryside,clean production and saving energy.People produce biogas and provide the countryside with new energy by means of turning livestock＇s dejection into resources,composting of the plant and animal＇s leavings in the courtyard and even in the factory.It is helpful for the countryside to conserve the energy and reduce emission of the waste.And it also plays an important role in protecting the eco-environment,beautifying homestead and developing the ecological agriculture and so on.The liquid and solid residue in the biogas production can be reused as fertilizer for crops or food for animals after pretreatment,which is propitious to accelerate the development of the circular economy in Heilongjiang Province.

Energy savings and CO_2 emission reduction by using geothermal heat pumps

The renewable energy will play significant role in the world primary energy consumption in the future. Geothermal energy is immense with 5 000 EJ/a of technical potential, and geothermal heat pumps (GHPs) are one of the fastest growing applications of renewable energy in the world with annual increases of 10 % and much faster in China. With high coefficient of performance (COP) up to 6, GHPs make efficiency of primary energy more than 240 % with assumed a 40 % of electricity generation efficiency, which means energy savings and CO2 emission reduction. In this paper,the geothermal resources and its utilization are talked about, and GHPs technology was introduced. Due to its high efficiency, there will be energy savings by using GHPs. There is also CO2 emission reduction because of using geothermal heat pumps, which is analyzed in the end.

The development of slag processing technology and its impact on energy-saving and emission reduction in the metallurgical industry

This study provides an overview of the production and classification of metallurgical slag and its impact on energy-saving and emission reduction in the metallurgical industry and an analysis of the impact of key factors on slag processing technology, including a brief account of blast furnace（BF） slag processing and applications with a focus on the steel slag disposal processes and the features of some typical processes. In view of the characteristics of the basic oxygen furnace （BOF） slag and the technical difficulties faced by the traditional processes,it describes the principle,features and technical advantages of the Baosteel short-flow （BSSF） steel slag treatment process developed by Baosteel. The thinking and outlook on the direction of the development of the metallurgical slag processing process are stated.

A research of green taxation policy for promoting energy saving and emission reduction

It's been proved by theory and practice that taxation policy is one of the important means of realizing energy saving and emission reduction. The green taxation system in the Western countries has got better effects in energy saving and environmental protection. In the recent years, China has in succession released some taxation policies promoting energy saving and emission reduction, but still has a huge gap to meet the real needs of energy saving and emission reduction. By analyzing China's status quo of the polices of energy saving and emission reduction and drawing upon experiences of the developed countries about green taxation, this paper presents how to perfect ideas of China's energy saving and emission reduction taxation policies: adjusting taxes relevant to green taxation in the current taxation system, such as resource tax, consumer tax, and so on; collecting new environmental tax; perfecting the preferential taxation policies for the energy saving and environmental protection industries.

A multi-objective train-scheduling optimization model considering locomotive assignment and segment emission constraints for energy saving

Energy saving and emission reduction for railway systems should not only be studied from a technical perspective but should also be focused on management and economics. On the basis of relevant trainscheduling models for train operation management, in this paper we introduce an extended multi-objective trainscheduling optimization model considering locomotive assignment and segment emission constraints for energy saving. The objective of setting up this model is to reduce the energy and emission cost as well as total passenger- time. The decision variables include continuous variables such as train arrival and departure time, and binary vari- ables such as locomotive assignment and segment occu- pancy. The constraints are concerned with train movement, trip time, headway, and segment emission, etc. To obtain a non-dominated satisfactory solution on these objectives, a fuzzy multi-objective optimization algorithm is employed to solve the model. Finally, a numerical example is performed and used to compare the proposed model with the existing model. The results show that the proposed model can reduce the energy consumption, meet exhausts emission demands effectively by optimal locomotive assignment, and its solution methodology is effective.

基于Q-learning和随机森林的SCR脱硝系统温度优化研究

钢铁行业的烧结工艺会产生大量污染源,如重金属颗粒物、NO_(x)等。为了控制污染物浓度,需要采用脱硫、除尘、脱硝等工艺对烟气进行净化处理。低温SCR脱硝工艺在钢铁行业中应用广泛,但由于温度控制依赖人工经验,存在时滞、多变量等问题,导致煤气过量消耗和运行成本增加。本文针对这一问题,提出了一种结合大数据与人工智能的优化控制方法,通过引入Q-learning算法,结合随机森林模型预测的煤气用量,对低温SCR脱硝系统的入口温度进行优化控制。实验结果显示,优化后的SCR系统入口平均温度为194.2℃,较人工控制的实际平均温度209.8℃明显降低;每月煤气耗量由202.3×10^(4)Nm^(3)降至179.6×10^(4)Nm^(3),节能约9%;氨水耗量由51.7×10^(4)L降至49.2×10^(4)L,节能约5%。研究表明,本文所提出的控制方法能够显著提高脱硝效率,减少煤气消耗,降低生产成本。

Policy Options for Sustainable Development in Urban Transport:Analysis of Energy Consumption and Environmental Benefit Influenced by Different Transport Policies in Beijing

Transportation is a sector with high energy consumption as well as high emissions.Generally speaking,economic growth will inevitably lead to the increase of travel demand and vehicle population,which in turn results into the augmentation of environmental and social costs.For metropolis like Beijing under rapid development,there exist various possibilities and options for transport development policy instruments.But there is no guarantee that they will be suitable for Beijing,although they are effective in their local places.This article assesses what kind of policy can most effectively improve the traffic conditions in Beijing in the future.After literature reviews on the practices of foreign policy and we established several feasible scenarios.Then,we used the Long Range Energy Alternatives Planning System(LREAP) analyzed their corresponding results of reduced energy consumption and emissions.Finally,by simulating and computing the realistic Beijing transportation scenarios,this paper scientifically assesses what kind of policy can most effectively improve the traffic condition in Beijing in the coming decade.

Evaluation of Energy-Efficiency Standards for Room Air Conditioners in the US

This article describes an analysis of the energy and economic impacts of possible energy efficiency standards for room air conditioners on both U.S. consumers and the nation as a whole. We used two metrics to determine the effect of standards on a representative sample of U.S. consumers: life-cycle cost change and payback period. For the national impact analysis, we evaluated national energy savings attributable to each potential standard, the monetary value of the energy savings to consumers of room air conditioners, the increased total installed costs because of standards, and the net present value of the difference between the value of energy savings and increased total installed costs. Our analysis indicates that standards for room air conditioners at efficiency level 3, which is 17% more efficient than today’s typical unit in the case of room air conditioners less than 6000 Btu/h with louvers and 12% more efficient in the case of room air conditioners 8000 - 13,999 Btu/h with louvers, would save close to one quad of energy over 30 years and have a net present value of consumer benefit of between ?$0.14 billion and $1.82 billion, depending on the discount rate. In addition, such standards would reduce carbon dioxide emissions and NOx emissions.

ComplexTrans-Global Rail-Road Transportation System Economical and Clustered Individual and Individualised Public Transport also Prevents the Spread of Covid 19

Land transport can no longer meet the requirements.European transport can be described by these words−crowded motorways and cities,dangerous emissions,ubiquitous traffic accidents,delays,expensive railways.Solutions are being sought to transfer a large part of passengers and especially freight transport to(high-speed)rail,and efforts are moving towards electromobility,car-sharing,5G-connectivity,autonomous driving,MaaS(Mobility as a Service)-coordinated transport or hyperloop-type solutions.However,all these solutions have additional challenges and limitations.Solutions are not being searched where they really exist-in the mutual adaptation of road and rail vehicles and their deep cooperation.The ComplexTrans project shows that simply adapting the dimensions and functions of road and rail vehicles can eliminate(or at least significantly reduce)all the problems of existing land transport.The main features of the ComplexTrans system are sufficient parking spaces,reduction of urban and non-urban congestion,electric vehicles with unlimited range and cheaper than standard cars,cheaper and more accessible battery charging,“autonomous ride”,solving the overlap between passenger and freight rail transport and making it self-financing,transferring intercity freight transport to rail,replacing part of continental air transport and many others.The cost-effective and clustered individual transport and individualised public transport of the ComplexTrans system also bring very significant reductions in the risk of transmission of covid-19 and other contagious diseases during transport.

A Self-Powered Energy-Saving Epidemic Prevention Tent

The current situation of the epidemic is complex and changeable.Under the China adherence to the“dynamic zero clearance,”epidemic prevention and control is closely related to all walks of life,and epidemic prevention awning has become one of the essential basic epidemic prevention facilities.However,most of the epidemic awnings are manufactured for the isolation and protection from wind and rain,which could not meet the needs of electricity allocation during emergencies.Therefore,our goal is to design a new energy-saving epidemic prevention tent that is green,stable,and easy to shrink.It is equipped with multiple energy storage and multivariate methods to achieve self-supply of electric energy.First the“1+1”arrangement design of solar power panels on the anti-epidemic tent and pressure power panels combined with the design of pressure power panels under the tent can receive various energy inputs.At the same time,retractable brackets are designed under the four pillars,which are easy to fold and enhance the stability of the canopy.The utilization of energy is more diversified to achieve the purpose of energy conservation and emission reduction.Its market value is broad,and the development prospect is good.

The Energy Efficiency Gap in Maritime Transport

There is evidence that the shipping industry could achieve energy efficiency gains through the implementation of new technologies, with considerable reductions of fuel costs and emissions to air in the sector. Although the cost reducing effects of some new technologies are well established, companies appear reluctant to innovate despite the financial and societal benefits, as a result of what is referred to as the energy efficiency gap. The global emission impacts of the shipping industry, most notably of greenhouse gases, sulphur and nitrogen oxides are increasingly attracting the attention of regulators, non-governmental organisations and the media, and shipping companies are under pressure to find new ways to reduce their emission footprint. Understanding the determinants of the energy efficiency gap in shipping is then critical in improving the environmental profile of the industry. This paper presents the results of a survey among Norwegian shipping companies aimed at gaining a better understanding of the barriers to implementation of new cost saving technologies. The paper assesses the technical barriers that have traditionally been indicated as the main cause of the energy efficiency gap in shipping. The paper results indicate that next to technical factors, important barriers are constituted also by managerial practices and legal constraints.

Forming analysis and application for aluminum-alloy material

The increase in car ownership brought about by energy shortages,and environmental crises became more acute.The most effective way to achieve energy saving and emission reduction of car is to improve engine efficiency.In addition to that,lightweight body is the key.Aluminum,magnesium alloy as significant materials of lightweight,and the application amount in the car body is a significant upward trend.However,there is high cost of material,with immature applied technology and a series of bottleneck problems.All of them affect general application of lightweight materials. This paper focuses on forming process issues for aluminum,magnesium alloy and the solutions to achieve.

外部技术网络嵌入、知识重组能力与制造企业节能减排

在加快发展方式绿色转型的战略部署下,作为绿色转型的关键实施主体,制造企业不断利用网络嵌入和知识重组以促进其在能源消耗和污染排放工作的平稳、有序推进。本文以中国制造业A股上市公司为研究对象,收集整理企业联合申请发明专利数据,采用社会网络分析软件对外部技术网络嵌入的技术网络地位和网络有效规模进行测算,基于“外部合作-知识重组-节能减排”的逻辑思路分别探索外部技术网络嵌入对制造企业节能减排的直接效应,以及从知识重组视角探讨知识再创造和知识再利用在其中的中介作用。结果表明:技术网络地位和网络有效规模显著有利于降低合作企业的能源消耗和污染排放,知识重组能力在技术网络地位与网络有效规模对节能减排的影响中存在显著中介作用。据此提出相应的管理启示以提高制造企业节能减排成效,为推进“统筹发展与绿色低碳转型,深入实施绿色制造”提供一定的经验证据。

绿色低碳型印染企业生产成本有效控制探讨

进入低碳时代,印染行业更需要进行成本控制,文中从节能减排、劳动力成本、染料与助剂成本、化验室成本、管理成本这5个方面逐一进行分析。指出改进印染设备运行及对中水进行回用,可达到节能减排的目的;印染生产全过程推行全自动化控制可减少劳动力成本;针对面料的不同以及客户要求的差别化,合理选择染料与助剂,可降低染化料成本;化验室技术人员精心控制工艺配方的成本,不断对工艺流程进行改革创新,并应用计算机信息技术提高综合业务水平,可有效降低生产成本;生产管理者采用精益管理方式,可降低管理成本。

环境补贴能提升企业碳绩效吗--基于A股上市公司实证分析

环境补贴既是国家实现“双碳”目标的宏观调控手段,也是减轻企业环保负担、引导企业节能减排的推动力。选取2014~2019年接受环境补贴的1094家A股上市公司3735个观测值作为研究样本,采用双向固定效应模型,实证探究环境补贴对企业碳绩效的影响。研究表明,环境补贴与企业碳绩效显著正相关且具有滞后性特征,异质性检验发现,成立时间长的企业、国有企业、东部地区与中低污染企业环境补贴作用效果显著;进一步研究发现,环境补贴中的节能减排补贴与企业碳绩效显著正相关,环境治理补贴对企业碳绩效起负向作用。据此,提出环境补贴应以降碳为重点、减污降碳协同增效为目的等建议。

驾驶行为分类方法及量化评估综述

对驾驶行为分类方法及量化评估进行综述,首先阐述了驾驶行为的涵义及表征方法,然后将驾驶行为分类方法划分为基于统计特性的分类方法、基于机器学习的分类方法、混合式(组合、集成)分类方法三大类,并对不同的驾驶行为分类方法的代表算法、优点及局限性等进行系统归纳和总结,其次,从多个维度对驾驶行为的量化评估研究进行系统介绍,最后介绍了驾驶行为分类及量化评估研究成果在多个领域的应用现状及前景展望。