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 CO_2 emissions growth rate declined from8.32%(2009-2012 mean) to 1.82%(2012e2014 mean). Industrial structure adjustment canceled out nearly one-third of the CO_2 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.

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 Saving and Emission Reduction Estimations of Electrified Railways in China

基于中华人民共和国的铁路的部的统计中心收集的年度生产数据，我们计算了节省的精力和触电的铁路的 CO2 ，煤烟， SO2 ，公司， NOx 和 CnHm 的直接排放减小，并且在在这个时期期间，年度平均数精力珍视的 1975-2007 .The 结果表演的时期期间分析了他们的动态特征节省是 1.

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.

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.

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.

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.

Research and application of on-shore power supply system for vessel in port of Shanghai

This paper prescribes a movable voltage-variable and frequency-variable on-shore power supply system which successfully provides on-shore power for container vessel on port. The high voltage power supply (10 kV/50 Hz/2 000 kVA) for the quay cranes is used for the power input of the system, after frequency and voltage converting (450 V/60 Hz), then putting out and supplying to vessel. This system is flexible with positive effect on energy-saving and emission reduction; besides, there's no requirement of civil reconstruction to container terminals, which is suitable for the busy ports in China.

Prediction and Analysis on Short-term Load of Power System Based on LSTM

Effective short-term prediction of regional voltage load is of great significance to the implementation of energy saving and emission reduction policies in China.Accurate prediction of real-time demand voltage can reduce power waste and carbon emissions,make outstanding contributions to delaying global climate warming,and is conducive to global environmental protection and sustainable development.On the short-term load forecasting of power system,a variant model of RNN-LSTM is tested in this paper.It effectively solves the problem of gradient explosion and disappearance caused by large amount of data input in classical RNN.On the basis of this model,optimization experiments are carried out under different super parameters to achieve better prediction results.The experimental results show that the accuracy of test set reaches 99.8%,which proves that the method proposed in this paper has certain reference value.

基于LSTM-Attention与MOPSO高炉节能减排控制算法研究

随着节能环保观念和绿色持续发展理念的深入人心,如何做好高炉节能减排已为目前钢铁行业面对的主要问题之一。为实现高炉节能减排,将人工智能技术与高炉生产数据相结合,提出了燃料比最低和煤比最高的多目标优化方案。在燃料比和煤比预测方面运用随机森林(RF)、长短时记忆网络结构(LSTM)、结合注意力机制的长短时记忆(LSTM-Attention)3个算法对比分析,选择出对燃料比和煤比预测最准确的LSTM-Attention模型作为预测模型。并在LSTM-Attention预测模型基础上,结合多目标粒子群算法(MOPSO)和非支配排序遗传算法(NSGA-II)分别寻找Pareto最优解进行对比,选择效果较好的MOPSO进行结果分析。结果表明,在高炉生产工况一定的情况下,控制决策变量压差、氧量、喷煤量和风量的参数值,约能降低能耗4.06×10^(11)kJ/年,减少CO^(2)的排放量25.91 t/年,为高炉实现节能减排提供技术支持。

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.

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。

投入固定视角下的中国城市节能减排分析

基于最小调整策略的固定投入和DEA模型得到均衡前沿面,提出了节能减排绩效测量模型和综合效率测量模型,对中国城市节能减排效率开展了研究.结果表明,在考虑土地利用的情况下,中国城市的节能减排效率显著降低;中国城市土地供不应求问题逐步得到改善,但土地供需缺口依然较大;五线城市的土地利用效率不高,但是节能减排效率却呈逐年递增;85%的样本城市没能实现土地利用和节能减排的双赢.研究结果为政府在宏观和中观层面制定城市经济可持续发展政策提供了一定的理论和现实依据.

北京市大学生碳足迹现状及碳中和意愿研究

该文从多个维度分析北京大学生碳足迹现状,深入挖掘大学生碳中和意愿及其影响因素。通过问卷调查、深度访谈等方法对北京市高校学生衣食住行等现状和碳中和意愿进行调研,运用因子分析法基于调研数据对学生碳足迹进行计算和评估,通过Matlab、anova1函数、回归模型等对调研结果进行数据挖掘和因果关联分析,探究其相关影响因素。结果显示:在8个影响因素的基础上,20个因子能更好地刻画原始数据信息。对20个因子进行多元线性回归分析,拟合度得到显著改善。回归结果表明环保意识、碳中和态度等多个因子对低碳生活认同产生了显著影响。根据以上研究对高校碳中和提出在交通、水电、饮食及宣传方面的可行性建议。

高安屯再生水厂碳中和实践措施及效果

高安屯再生水厂位于北京市,水处理规模20万m^(3)/d,主体工艺为AAO+砂滤池,污泥处理中心规模1836 t/d(污泥含水率80%),主体工艺为热水解+厌氧消化+板框脱水。对比了不同碳核算标准,确定了高安屯再生水厂碳排放计算边界。高安屯再生水厂碳中和项目采用节能降耗、回收能源、利用清洁能源的方法,是泥水共治、餐厨协同、多能耦合、能源自给的大型碳中和示范工程。

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。