An Intelligent Control Method for the Low-Carbon Operation of Energy-Intensive Equipment

Based on an analysis of the operational control behavior of operation experts on energy-intensive equipment,this paper proposes an intelligent control method for low-carbon operation by combining mechanism analysis with deep learning,linking control and optimization with prediction,and integrating decision-making with control.This method,which consists of setpoint control,self-optimized tuning,and tracking control,ensures that the energy consumption per tonne is as low as possible,while remaining within the target range.An intelligent control system for low-carbon operation is developed by adopting the end-edge-cloud collaboration technology of the Industrial Internet.The system is successfully applied to a fused magnesium furnace and achieves remarkable results in reducing carbon emissions.

Effects of technical and allocative inefficiencies on energy and nonenergy elasticities:an analysis of energy-intensive industries in China

Elasticity of substitution is traditionally estimated while ignoring technical and allocative inefficiencies,which could bias the estimates.We estimate elasticity of substitution for Chinese energy-intensive sectors by incorporating these inefficiencies.The results show most of the sectors are low substitutes between input factors and stress important differences among energy-intensive sectors.Concerning the cross-price elasticity for energy,with respect to capital(labor),the sectors are mainly characterized by weak substitutability or complementary.These imply the production structure is quite rigid and capital cannot be so readily used as a substitute for energy.

Research on the Industrial Transfer and Restructuring Path of the Energy-Intensive Manufacturing Industry in Western China

The orderly transfer of the manufacturing industry is a major action in China’s industrial restructuring.From the perspective of industrial transfer,we used the concentration ratio to depict the trend of the industrial transfer of energy-intensive manufacturing in the eastern,central,and western regions since the policy of large-scale development of western China was implemented.We measured the total factor productivity(TFP)of western China using the DEAMalmquist index method.We conducted a regression analysis to measure the effect of western China’s undertaking of the transfer of the energy-intensive manufacturing industry.The findings of this study show that during 2000–2019,eleven provinces(as well as autonomous regions and municipalities)in western China undertook the transfer of the energy-intensive manufacturing industry from the eastern and central regions to varying degrees,exhibiting significant phase features regarding the rate and scale of transfers.Further investigation also demonstrated that the transfer of energy-intensive manufacturing industries has a U-shaped enabling effect on TFP in western China with the scale effect greater than the technology effect.Therefore,it is necessary to transition from“extensive industrial transfer”at the cost of the labor force,land,and resources to“modern industrial transfer”featured by technology and efficiency improvements to contribute to industrial restructuring in western China effectively.

Changes in China--Beijing is seeking less energy-intensive economic growth ＆ a less carbon-intensive energy mix and its impact over oil ＆ gas supply

Having experienced over 30 years of rapid growth,China’s economic development is entering a new normal featured by an ever optimizing economic structure shifting from high-speed to medium-high speed growth,and from factor-driven to innovation-driven pattern.In adapting

Low-carbon benefits analysis of energy-intensive industrial demand response resources for ancillary services

As a major CO_(2)emission source,the low-carbon development of the power sector requires the sector’s own efforts and the cooperation with other industries,especially in the context of rapid development of renewable generation technologies.The industrial demand response resources(IDRR)will be helpful to improve wind power penetration and bring low-carbon benefits if they are utilized to provide ancillary services(AS)for the power system.In this paper,demand response(DR)characteristics of industrial users are firstly analyzed according to their production process and electricity consumption distribution.In order to have an indepth study of the response mechanism of industrial loads to provide AS,cement and aluminum smelter are selected as two typical IDRR,and the AS type they provided and response mechanism are analyzed.Based on the data of these two industries in certain provinces of China,low-carbon benefits considering IDRR to provide AS are analyzed.

Composites on Base of the Ultradispersed Polytetrafluoroethylene and Graphite Oxide Intercalated Compounds

Composites based on ultradispersed polytetrafluoroethylene and intercalated graphite oxide compounds with dodecahydro-closo-dodecaborates and methods of their fabrication have been developed. The fabricated composites have been characterized using XRD analysis, and optical microscopy. These composites are distinguished with completeness of their combustion, since the combustion products comprise gaseous boron fluorine-containing compounds of boron, boron trifluoride (BF3), and boron oxyfluoride ((BOF)3). Besides, these composites are characterized with increased energy capacity as compared to purely oxygen-containing compounds, since the heat of formation of boron fluorine-containing compounds is higher than that of boron oxide. Introduction of ultradispersed polytetrafluoroethylene imparts composites with hydrophobicity, thus improving their functioning properties.

Industrial layout reconstruction, the role of local government and variation of pollution distribution in China

In recent years, high-polluting industries have been gradually shifted from the eastern developed regions to the central and western underdeveloped regions in China. Certain environmental regulations have been in place accordingly in various regions, but the pollution in the central and western regions has risen sharply. Based on the data of interprovincial panel in China from 2006 to 2015, this paper calculates high-pollution industry dynamic agglomeration index, environmental pollution agglomeration index and relative environmental regulation intensity index, and uses Generalized Method of Moments to carry out the regression analyses of the whole samples,regional heterogeneity and temporal heterogeneity. The results show that there is an inverted Ushaped relationship between relative environmental regulation and environmental pollution concentration in China. The concentration degrees of industrial wastewater pollution and industrial waste gas pollution are deepened, which are mainly caused by the transfer of highly polluting industries. However, the concentration of industrial solid waste pollution caused by the transfer is not obvious. Furthermore, the deepening of industrialization intensifies the concentration of regional environmental pollution. Environmental Kuznets Curve does exist in China,but it is not significant. The increase of labor cost and quality will reduce the concentration of environmental pollution.

Decarbonization options of the iron and steelmaking industry based on a three-dimensional analysis

Decarbonization is a critical issue for peaking CO_(2) emissions of energy-intensive industries,such as the iron and steel industry.The decarbonization options of China’s ironmaking and steelmaking sector were discussed based on a systematic three-dimensional low-carbon analysis from the aspects of resource utilization(Y),energy utilization(Q),and energy cleanliness which is evaluated by a process general emission factor(PGEF)on all the related processes,including the current blast furnace(BF)-basic oxygen furnace(BOF)integrated process and the specific sub-processes,as well as the electric arc furnace(EAF)process,typical direct reduction(DR)process,and smelting reduction(SR)process.The study indicates that the three-dimensional aspects,particularly the energy structure,should be comprehensively considered to quantitatively evaluate the decarbonization road map based on novel technologies or processes.Promoting scrap utilization(improvement of Y)and the substitution of carbon-based energy(improvement of PGEF)in particular is critical.In terms of process scale,promoting the development of the scrap-based EAF or DR-EAF process is highly encouraged because of their lower PGEF.The three-dimensional method is expected to extend to other processes or industries,such as the cement production and thermal electricity generation industries.

The impact of energy-intensive industries on air quality in China’s industrial agglomerations

Understanding the driving forces of regional air pollution and its mechanism has gained much attention in academic research,which can provide scientific policy-making basis for economy-environment sustainability in China.Being an important energy and industrial base,the North China Plain region has been experiencing severe air pollution.Therefore,understanding the relationship between industrialization and air quality in this region is of great importance for air quality improvement.In this study,the average annual concentrations of SO2,NO2 and PM10 in 47 sample cities at and above the prefecture level in the North China Plain region from 2007 to 2016 were used to illustrate the spatiotemporal characteristics of air pollution within this region.Furthermore,panel data model,panel vector autoregression model,and impulse response function were used to explore the correlation and driving mechanism between energy-intensive industries and regional air quality.The results show that:first,overall air quality improved in the study area between 2007 and 2016,with a significant greater fall in concentration of SO2 than that of NO2 and PM10;second,provincial border areas suffered from severe air pollution and showed an apparent spatial agglomeration trend of pollution;and third,the test results from different models all proved that energy-intensive industries such as the chemical,non-metallic mineral production,electric and thermal power production and supply industries,had a significant positive correlation with concentrations of air pollutants,and indicated an obvious short-term impulse response effect.It concludes that upgradation of industrial structure,especially that of energy-intensive industries,plays a very important role in the improvement of regional air quality,which is recommended to be put in top priority for authorities.Therefore,policies as increasing investments in technological innovation in energy-intensive industries,deepening cooperation in environmental governance between different provinces and cities,and strengthening supervision and entry restrictions are suggested.

Regional Distribution and Pollution of Energy-lntensive Industries in China

This paper investigates the regional distribution and pollution of energyintensive industries in China. Through the analysis of provincial panel data collected during 1998-2008, this work estimates the drivers of pollution in 30 of China＇s provincial-level divisions. The paper concludes that while China＇s energy-intensive industries are heavily distributed in eastern and central China, the speed of development toward central and western China has, in recent years, risen continuously. Industries located in eastern China do, however, remain the primary polluters in the country. Notably, regional agglomeration of energy-intensive industries plays a positive role in energy conservation and pollution control in China. This paper also finds that patterns of pollution in China follow the environmental Kuznets curve （EKC） with strong inter-provincial discrepancies.

An Empirical Study of China＇s Energy- Intensive Industries＇ Growth Based on Environmental Total Factor Productivity

Using directional distance function and nonparametric data envelopment analys＆, th＆ paper estimates the environmental total factor productivity （ETFP） of energy-intensive industries in China from 1995 to 2010, and performs an empirical analysis on factors affecting ETFP growth after studying the differences of energy-intensive industries ＇ ETFP by industries and provinces. The findings include the following： energy-intensive industries ＇ETFP growth is mainly driven by technical progress; China, at its current development stage, still has the potential to raise the productivity of its energy- intensive industries. By estimating the provincial data, we find that the ETFP growth of different provinces converge at different levels. Further market liberalization, increased FDl flows and reductions in energy intensity will help to improve each province＇s ETFP growth. In addition, increasing investment in energy saving and emissions reduction and improving corporate environmental management capacity can help to reduce a company＇s short-term cost of complying with environmental regulations.

Changes in the Economic Structure and Trends in China’s Future Energy Demands

The scientific evaluation of trends in China's future energy demands is highly important.Using provincial-level panel data from 1995 to 2015,we studied the relationships between the economic aggregate,the development of energy-intensive industries and energy demand from the perspective of changes in the proportion of energy-intensive industries in the national economy.We find that economic aggregate affects energy demand through energy-intensive industries and that changes in the economic structure are the key factor for change in energy demand.This means that China's future energy demand will be much lower than that contained in forecasts that did not consider this factor.Comprehensively promoting green-tech development and strengthening the regulation of energy-extensive industries will be one of the key options for realizing China's objective of controlling total energy consumption.

The UAE’s energy system and GHG emissions: pathways to achieving national goals by 2050

In recent years,the United Arab Emirates(UAE)has developed strategies to increase renewable power generation and reduce emis-sions to net zero by 2050.Electricity generation and energy-intensive industries(EII)have the largest potentials for emission reduc-tion.Therefore,an up-to-date inventory of greenhouse gas emissions and a study of the pathways to achieving the 2050 targets are essential.This study focuses on power production and EII(aluminium,steel and cement).The structure of these sectors is modelled and simulated up to 2050 using a system dynamics(SD)methodology.The SD model is validated to reflect the real-world state of the system using the emissions inventory projections as reference modes.Nineteen mitigation policies are considered in the selected sectors and four policy scenarios were simulated.The results show that implementing the Energy Strategy 2050 in the power sector can result in a reduction of 63.5%in emissions in that sector,which translates into a reduction of 33.5%overall by 2050.Additionally,implementing all identified mitigation strategies to full utilization in EII yields a 94%reduction in that sector,which translates into a 78%reduction overall.Decarbonizing the aluminium industry yields the highest emissions reductions,followed by power produc-tion,then cement and finally steel.In the best-case scenario,22.1%of the business-as-usual emissions are still released and further decarbonization—mainly in the power sector—will be required.This is achievable given the trajectory of the UAE’s successful nuclear energy programme and the prospect of utilizing carbon capture,utilization and storage even further.