Comprehensive analysis on the economy and energy demand of pressure-swing distillation and pervaporation for separating waste liquid containing multiple components

A large amount of waste liquids containing methanol/acetone/water mixtures are produced in the synthesis of methyl methacrylate(MMA).Under the advocacy of green chemical industry,it is urgent to develop an efficient,economic and energy-saving mixture separation process.Through thermodynamic azeotropic behavior and pressure sensitivity analysis,pressure-swing distillation was determined and the optimal separation pressure of each column in the process was obtained.Due to the composition of waste liquids produced were quite different in MMA production,the pressure-swing distillation separation process was designed to fully achieve the accurate waste liquids treatment.Taking the total annual cost(TAC)as the target,the sequential iteration method was used to optimize the process,and the impact of composition on economy was compared.In order to further realize the energy-saving of the separation process,the pervaporation membrane module was introduced to pretreat the waste liquid in the pressure-swing distillation.The results showed that the TAC of the coupling process was 46% higher than that of the pressure-swing distillation process,and the thermodynamic efficiency was 30% higher.This study provides waste liquid treatment technology for enterprises and analyzes its economic and energy efficiency,which has reference significance for the development of coupled separation technology.

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.

The relationship between energy consumption and economic growth and the development strategy of a low-carbon economy in Kazakhstan

Fossil energy is the material basis of human survival, economic development and social progress. The relationship between energy consumption and economic growth is becoming increasingly close. However, energy consumption is the major source of greenhouse gases, which can significantly affect the balance of the global ecosystem. It has become the common goal of countries worldwide to address climate change, reduce carbon dioxide emissions, and implement sustainable development strategies. In this study, we applied an approximate relationship analysis, a decoupling relationship analysis, and a trend analysis to explore the relationship between energy consumption and economic growth using data from Kazakhstan for the period of 1993-2010. The results demonstrated： （1） the total energy consumption and GDP in Kazakhstan showed a ＂U＂-type curve from 1993 to 2010. This curve was observed because 1993-1999 was a period during which Kazakhstan transitioned from a republic to an independent country and experienced a difficult transition from a planned to a market economy. Then, the economic system became more stable and the industrial production increased rapidly because of the effective financial, monetary and industrial policy support from 2000 to 2010. （2） The relationships between energy con- sumption and carbon emissions, economic growth and energy exports were linked; the carbon emissions were mainly derived from energy consumption, and the dependence of economic growth on energy exports gradually increased from 1993 to 2010. Before 2000, the relationship between energy consumption and economic growth was in a recessional decoupling state because of the economic recession. After 2000, this relationship was in strong and weak decoupling states because the international crude oil prices rose and energy exports increased greatly year by year. （3） It is forecasted that Kazakhstan cannot achieve its goal of energy consumption by 2020. Therefore, a low-carbon economy is the best strategic choice to address climate change from a global perspective in Kazakhstan. Thus, we proposed strategies including the improvement of the energy consumption structure, the development of new energy and renewable energy, the use of cleaner production technologies, the adjustment and optimization of the industrial structure, and the expansion of forest areas.

Comparative evaluation of energy and resource consumption for vacuum carbothermal reduction and Pidgeon process used in magnesium production

With the fast development of the application of magnesium based alloys,the demand for primary magnesium is increasing dramatically all over the world.The Pidgeon process is the most widely used process for producing magnesium in China,but suffers from problems such as high energy,resource consumption and environmental pollution.While the process of vacuum carbothermal reduction to produce magnesium(VCTRM)has attracted more and more attention as its advantages,but it has not been well-practiced in industrial applications and there also is no comprehensive and quantitative analysis of this process.This study quantified the flows of resource and energy for the Pidgeon process and the VCTRM process,then compared and analyzed these two processes with each other from three aspects.The VCTRM process results in 63.14%and 69.16%lower of non-renewable mineral resources and energy consumptions when compared to the Pidgeon process,respectively.Moreover,the low energy consumption(2.675 tce vs.8.681 tce)and material to magnesium ratio(2.953:1 vs.6.429:1)of the VCTRM process,which lead to lower greenhouse gas(GHG)emissions(8.777 t vs.26.337 t)and solid waste generation(0.522 t vs.5.465 t)with a decrease of 66.67%and 90.45%,respectively.Results indicate that the VCTRM process is a more environmentally friendly process for magnesium production with high efficiency but low cost and low pollution,and it shows a good potential to be industrialized in the future after solving the bottleneck problem of the reverse reaction.

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.

Relationships between energy consumption and climate change in China

Energy consumption has an inevitable connection with economic level and climate. Based on selected data covering annual total energy consumption and its composition and that of all kinds of energy in 1953-1999, the annual residential energy consumption and the coal and electricity consumption in 1980-1999 in China, the acreage of crops under cultivation suffered from drought and flood annually and gross domestic product (GDP) in 1953-1999 in the whole country, and mean daily temperature data from 29 provincial meteorological stations in the whole country from 1970 to 1999, this paper divides energy consumption into socio-economic energy consumption and climatic energy consumption in the way of multinomial. It also goes further into the relations and their changes between the climate energy consumption and climate factor and between the socio-economic energy consumption and the economic level in China with the method of statistical analysis. At present, there are obvious transitions in the changing relationships of the energy consumption to economy and climate, which comprises the transition of economic system from resource-intensive industry to technology-intensive industry and the transition of climatic driving factors of the energy consumption from driven by the disasters of drought and flood to driven by temperature.

Digital finance and renewable energy consumption:evidence from China

While digital finance and renewable energy consumption(REC)are two timely issues,it remains unclear whether the former affects the latter,especially in developing economies.This paper examines the impact of digital finance on China’s REC between 2011 and 2018 and explores the underlying mechanisms.Results show that digital finance,along with its coverage breadth and usage depth,significantly improved REC in China and that digital finance in the area of credit has had the most significant impact.Additionally,the results show that loan scale and income level are the main mediation variables,through which digital finance affects REC.The findings also suggest that economic growth and technological progress have increased REC in China,while carbon dioxide emissions have had no meaningful effect on this consumption.The results further indicate that policymakers must pay close attention to the role of digital finance when formulating policies on REC.To promote REC and environmental sustainability,developing economies like China should strengthen the breadth and depth of digital finance development,focus on the influence channels of digital finance,and promote economic growth and technological progress.

Study on Relation between Energy Consumption and Climate Change in China

[Objective] The research aimed to study relation between energy consumption and climate change in China. [Method] Climate change characteristics from 1951 to 2009 in China were summarized. Economic and social developments in China in recent 50 years were analyzed from production and consumption amounts of the energy, energy source composition and energy consumption of the GDP （ten-thousand yuan）. Influences of the energy consumption and economic development on climate change were discussed. [ Result] Annual average temperature of China in- creased obviously from 1951 to 2009, and regional difference was distinct. Increasing trend of the temperature in the north of 35° N was bigger than that in the south. Increasing trend of the temperature in northeast China and Inner Mongolia reached 0.04 ℃/a. The average temperature from 1981 to 2009 was higher than that from 1951 to 1980, and the biggest difference value was more than 2.0 ℃. Mutation of Chinese energy produc- tion and consumption happened in 1985, but average temperature of China had an obvious mutation in 1989, showing temperature mutation lagged behind energy production and consumption mutation. Energy consumption of the GDP （ten-thousand yuan） decreased evidently from 1978 to 1997. Beginning from 1998, the decreasing pace slowed down markedly, and there was a rebound in 2003. Chinese new energy amount was increasing year by year. Because the total energy consumption amount was also increasing, new energy proportion had been maintained about one quarter. The energy consumption increasing model with energy consumption coefficient and the model without energy consumption coefficient were set up in this paper. It was found that Chinese energy structure changed a little after considering energy consumption coefficient. Proportion of the coal de- creased, while proportions of the oil, natural gas and electric power increased. Temperature changing trend was consistent with that of the economic development and energy consumption. Change trend of the average temperature basically presented good positive correlation with effective energy consumption amount, and the maximum correlation coefficient was 80%. [ Conclusion] The research proved the importance of developing clean ＆ efficient energy and carrying out low-carbon economy to relieve climate change of China. It was urgent to carry out low-carbon economy and transform economic growth manner.

Reducing Electrical Consumption in Stationary Long-Haul Trucks

On average, long-haul trucks in the U.S. use approximately 667 million gallons of fuel each year just for idling. This idling primarily facilitates climate control operations during driver rest periods. To mitigate this, our study explored ways to diminish the electrical consumption of climate control systems in class 8 trucks through innovative load reduction technologies. We utilized the CoolCalc software, developed by the National Renewable Energy Laboratory (NREL), which integrates heat transfer principles with extensive weather data from across the U.S. to mimic the environmental conditions trucks face year-round. The analysis of the CoolCalc simulations was performed using MATLAB. We assessed the impact of various technologies, including white paint, advanced curtains, and Thinsulate insulation on reducing electrical demand compared to standard conditions. Our findings indicate that trucks operating in the eastern U.S. could see electrical load reductions of up to 40%, while those in the western regions could achieve reductions as high as 55%. Such significant decreases in energy consumption mean that a 10 kWh battery system could sufficiently manage the HVAC needs of these trucks throughout the year without idling. Given that many long-haul trucks are equipped with battery systems of around 800 Ah (9.6 kWh), implementing these advanced technologies could substantially curtail the necessity for idling to power air conditioning systems.

Study of Chinese Sustainable Developing Project for Energy Resources

Since the last half century,the world has been being in theme of peace and development,and passed through another glorious period with the rapid development of the economy,science and technology. In the energy field of the globe,as the fuel with superior quality,the petroleum and gas gradually replaced the coal of the leading role in energy resources’ consumption,after the mineral energy replaced firewood.Moreover,various types of new energy are beginning to get application。

保供降碳目标下能源转型模式及转型时点分析

应对气候变化目标要求全球能源系统进行广泛而深刻的转型。由于资源禀赋、能源战略、技术水平等差异,各国能源转型进程呈现出明显的异质性特征。通过对主要国家能源转型特征与减煤路径的分析,归纳了4种典型模式:能效提高模式、增气减煤模式、煤炭洁净利用模式、新能源替代模式,不同模式在不同时间点上与经济社会发展交互影响形成了国际能源转型的内在驱动机制。采用面板数据模型识别了影响能源转型模式的重要因素,并利用历史趋势分析方法对我国化石能源消费“拐点”与减煤时间节点进行研究。研究表明,当人均GDP达到25500美元时,发达国家即出现化石能源减少拐点。国家创新指数和城镇化与煤炭消费占比呈负相关,第二产业增加值占比与煤炭消费占比呈正相关。我国预计减煤时间范围在2028-2035年,化石能源消费减少时点在2040年左右。考虑到我国以煤炭为主的能源资源禀赋,我国能源转型目标的实现须依赖于煤炭洁净利用为主的转型路径,大力发展低碳化现代煤基能源体系,改变传统煤炭利用理念与方式,为未来多能耦合的新型能源体系提供重要支撑。

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。

中国水泥行业2011-2022年二氧化碳和大气污染物排放分析

2011—2021年,熟料产量呈波动上升趋势。水泥行业整体生产运行水平不断提高,熟料单条生产线平均规模由43.8万t/条提升至115.3万t/条,熟料单位产品综合能耗下降14.4%,熟料单位产品CO_(2)排放强度下降6.3%,但CO_(2)排放总量增加了13.8%,与氮氧化物减排趋势形成较大反差,碳污治理水平差距明显。熟料生产中石灰石分解和煤炭燃烧过程的CO_(2)排放合计占比为92.9%~93.8%,是CO_(2)排放的主要来源。由于熟料系数偏高、非碳酸盐原料替代不足、综合能耗仍然较高等原因,安徽等7个熟料产量大的省份的CO_(2)排放强度高于全国。建议实行碳酸盐熟料产量总量控制,逐步降低熟料应用比例,加快建材市场熟料产品和非碳酸盐原料替代,降低高标号水泥使用比例。应大力推广水泥行业节能降耗增效技术,加快熟料落后产能淘汰。对熟料产量大、碳排放强度高的地区,应结合当地碳排放特点,实行差别化降碳策略。各大气污染防治重点区域应因地施策推进水泥行业减污降碳工作。

沈阳地区典型办公建筑运行阶段碳减排潜力研究

以沈阳某办公建筑为例,将GB 50189—2015《公共建筑节能设计标准》作为节能基准,对比分析多种近零能耗建筑技术情形对建筑碳排放的影响,并对其碳减排潜力进行评估测算。利用模拟软件Design Builder对沈阳市某办公建筑建立典型模型,通过模拟计算得到几种不同技术情形下的能耗强度。碳排放强度由不同类型能源碳排放因子与能耗强度计算得出。结果表明:可再生能源利用技术和暖通空调设备能效提升技术可明显减少碳排放,碳减排率分别可达到44.88%和39.99%;另外,建筑围护结构改造以及自然通风和自然采光结合技术,减排率分别为8.18%、7.22%。按照近零能耗建筑技术要求,综合6种技术情形,办公建筑运行阶段的减排率可达51.08%。

基于STIRPAT模型的吉林省石化行业碳排放影响因素研究

石化行业作为典型的高碳排产业,研究其碳排放规律及影响有助于我国“双碳”目标的实现。以吉林省2002—2021年石化行业中5个子行业的原煤、洗精煤、焦炭、汽油、柴油、原油等9类碳排放源数据为基础,研究吉林省石化行业碳排放的时间演变特征及碳排放结构。采用扩展的随机性环境影响评估(STIRPAT)模型以及岭回归参数估计方法,选取经济增加值等6个指标,深入探讨各因素对吉林省石化行业碳排放量的作用机制及影响。根据实证分析结果,为推进吉林省石化行业低碳发展,促进石化产业碳减排,提出3个建议:提升能源效率,改善能源消费结构;优化投资项目,推动低碳项目发展;采取循环经济,进行环境影响评估。

“双碳”目标下山东省能源现状及减碳对策

为加快山东省新旧动能转换,山东省亟需发展高比例新能源,建设新型能源体系。基于山东省统计年鉴数据,借助IPCC测算法、Tapio脱钩理论,统计分析了山东省2017—2022年能源消费现状、碳排放总量及特征,针对能源碳排放量持续上升和能源消费比例不合理提出对应的减碳对策。结果发现,2017—2022年山东省碳排放总量逐年上升,山东省煤炭消费占比约为世界平均水平的2倍,高于全国平均水平,清洁能源消费占比偏低。尽管全省碳排放强度因能源强度下降而持续优化,但是碳脱钩系数一直是弱脱钩的状态,碳脱钩系数距离强脱钩尚有一定距离。从调整能源结构、优化产业结构等角度,提出了大力发展绿色低碳能源、积极推进光伏发电项目、加快非常规天然气的开发、推动清洁能源产业与可再生能源的发展的相应对策。进一步促进高比例新能源发展、新型能源体系建设是提高山东省能源利用效率、推动经济发展的正确手段。

医疗机构能源费用托管创新模式探索

介绍了中国医科大学附属盛京医院概况及能源管理需求;从能源费用托管模式的特点、托管内容两方面介绍了能源费用托管的设计方案;从能源费用托管审计、节能技术改造、提升后勤服务及安全水平等方面阐述了托管模式实施的具体举措;分析了能源费用托管所产生的效果及价值。

节能降耗对经济绿色发展的影响研究——基于中国2007-2021年31个省级面板数据的实证

利用2007-2021年中国31个省份(港澳台地区除外)的面板数据,采用引入能源和资源因素的C-D函数和熵权法测算各省级的经济绿色发展和节能降耗水平,实证检验了节能降耗对经济绿色发展的影响机制。研究发现:在空间布局上,节能降耗可推动经济绿色发展,且不同区域助推效果存在差异,东部地区和中西部的低水平节能降耗地区效果更显著。从结构异质性来看,这种助推效果主要依靠能源效率和节能投入的边际增长,合理的一次能源消费和产业结构有利于经济绿色发展。影响机制研究发现,技术创新和环境规制可助推经济绿色发展。基于此,提出加强地区能源建设、因地制宜推进能源建设、加大能源科技创新与构建能源节约环境等政策建议。

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。

Review on carbon emissions, energy consumption and low-carbon economy in China from a perspective of global climate change

Accompanying the rapid growth of China's population and economy, energy consumption and carbon emission increased significantly from 1978 to 2012. China is now the largest energy consumer and CO2 emitter of the world, leading to much interest in researches on the nexus between energy consumption, carbon emissions and low-carbon economy. This article presents the domestic Chinese studies on this hotpot issue, and we obtain the following findings. First, most research fields involve geography, ecology and resource economics, and research contents contained some analysis of current situation, factors decomposition, predictive analysis and the introduction of methods and models. Second, there exists an inverted "U-shaped" curve connection between carbon emission, energy consumption and economic development. Energy consumption in China will be in a low-speed growth after 2035 and it is expected to peak between 6.19–12.13 billion TCE in 2050. China's carbon emissions are expected to peak in 2035, or during 2020 to 2045, and the optimal range of carbon emissions is between 2.4–3.3 PgC/year(1 PgC=1 billion tons C) in 2050. Third, future research should be focused on global carbon trading, regional carbon flows, reforming the current energy structure, reducing energy consumption and innovating the low-carbon economic theory, as well as establishing a comprehensive theoretical system of energy consumption, carbon emissions and low-carbon economy.