Industrialization,Efficiency and Social Housing:Sustainable Prefabrication for the Colombian Social and Cultural Context

This research aims to generate processes of industrialization and qualification of social housing in Colombia through prefabrication,low energy consumption and high environmental quality to reduce the current deficit and improve the quality of life in communities with fewer economic resources.Modular coordination and the use of materials with thermal behaviors,appropriate to the country’s climatic characteristics,reduce production costs,avoid waste and improve the architectural and environmental quality of social housing.Passive cooling strategies,such as controlling solar incursion and generating natural cross ventilation eliminate energy consumption and allow reaching desired standards of comfort.In a context in which traditional construction systems have still not resolved the social housing deficit in Colombia and which generate high costs for energy consumption in the search for thermal comfort,industrialized and efficient construction with high environmental quality provides solutions according to the economic,geographic,social and cultural context in Colombia.

Energy Efficiency Improvement of an Industrial Crystallization Process Using Linearizing Control

This paper illustrates the benefits of a multivariable linearizing control approach applied to an industrial crystallization process. This relevant approach is declined according to two different strategies: first, a setpoint tracking is proposed for the couple crystal mass/concentration, whereas a second way consists in tracking of crystal content and concentration. The controlled variables, unavailable online, are issued from an observer developed in previous works. The performance of these strategies, which application to cane sugar crystallization constitutes a real novelty, are compared with experimental data issued from a PID-controlled industrial plant. The results reveal a significant improvement of energy efficiency, leading to an economy of more than 10% of energy.

Impact of Energy Efficiency and Financial Support on Green Upgrading in China’s Industrial Sector

The report from the 20th National Congress of China emphasizes the importance of focusing on the clean,low-carbon,and efficient use of energy,increasing financial support,and promoting green upgrading within the industrial sector.This paper,based on annual data,employs the entropy weight method to construct a comprehensive index reflecting the impact of green upgrading in industrial sectors.To delve deeper,it utilizes the DEA model to measure energy efficiency and its subdivision BCC model to break down energy efficiency into technical and scale efficiency.The financial support landscape is examined from the vantage points of both direct and indirect financing.Using a multivariate time series model,this paper thoroughly investigates the influence of energy efficiency and financial support on the green upgrading of the industrial sector.The findings reveal a significant positive impact of both energy efficiency and financial support on green upgrading in industrial industries.Notably,scale efficiency emerges as the primary driver of energy efficiency.Moreover,indirect financing proves to be more effective in promoting financial support than direct financing.The empirical results retain their robustness even after substituting explanatory variables.The study concludes by contextualizing the research findings within the current real-world scenario,offering practical insights,and proposing specific recommendations.

Efficiency in Boiler Feed Pumps for Industrial Steam Generation

This paper presents some opportunities to improve feedwater system efficiency for industrial boilers, usually consisting of multistage centrifugal pumps driven by three-phase induction motors. There is abundant literature on the efficiency in steam boilers. However, few deal exclusively with feedwater systems. The total horsepower in boiler feed pumps and the corresponding energy consumption estimated for Brazilian industries are as follows： 110.5 MWE of motor driven power and a yearly electricity consumption of 442 GWh for a population of 7,800 steam boilers, approximately. It is estimated that there can be an efficiency improvement in feedwater systems for industrial boilers of 30% on average. To a large extent, these opportunities reside in older boilers that are very common in the Brazilian industrial sector. The most common causes for the low efficiency of feedwater systems are： the control loop of the feedwater, oversized boilers and excessive operational pressure set. Sometimes, the boiler feedwater system can present more than one problem simultaneously. Any kind of solution involves some speed regulation, new pump and number of pumps. Each problem generation facilities were selected in which common inefficiencies cases, the improvement in efficiency can get to 37%. form of intervention in boiler feed pumps, such as： impeller trim, may have more than one solution. Three distinct industrial steam are present. The suggested solutions were analyzed. In these three

China’s energy price shocks on its tertiary industry energy efficiency:a vector-error-correction model based empirical study

Assuming the heterogeneity of different industries, this paper, using time series data of years from 1980 to 2008 to empirically testify the direct &indirect as well as the long & short term shocks from energy price on energy efficiency of the tertiary industry in P. R. China, concludes that the rise of energy prices can significantly reduce the energy intensity in China's tertiary industry in the short and long run. Meanwhile, indirectly, energy price increase also exerts strong influence on the tertiary industry energy efficiency via the channel of coal consumption ratio change in the tertiary industry; namely, the higher energy price leads to more coal consumption, thus enhancing the energy efficiency as well.

Research on the Definition and Influence of New Production of Ship Industry Index of Energy Efficiency on the Ship Design Process

In this paper, we conduct research on the definition and influence of new production of ship industry index of energy efficiency on the ship design process. Ship energy saving is the key to energy saving ship form optimization design. In the ship under the conditions of use, and to optimize the design of the hull lines with boat, minimize the ship resistance, with the final choice of ship host fuel-sipping. Our research combine the characteristics of the energy efficiency with the shipbuilding industry with the novel and innovative design pattern which will be meaningful.

Research on the Definition and Influence of New Production of Ship Industry Index of Energy Efficiency on the Ship Design Process

In this paper, we conduct research on the definition and influence of new production of ship industry index of energy efficiency on the ship design process. Ship energy saving is the key to energy saving ship form optimization design. In the ship under the conditions of use, and to optimize the design of the hull lines with boat, minimize the ship resistance, with the final choice of ship host fuel-sipping. Our research combine the characteristics of the energy efficiency with the shipbuilding industry with the novel and innovative design pattern which will be meaningful.

Spatial Analysis on the Contribution of Industrial Structural Adjustment to Regional Energy Efficiency:ACase Study of 31 Provinces across China

Energy is an important production factor. When more energy is put into production activities, labor productivity increases and the economy and social development improve. Industrial structural change is an important factor that affects the growth of regional energy efficiency. In modern development, industrial structural improvement is closely related to regional energy efficiency and the status of industrial structure. Energy efficiency can together reflect a country＇s development level, sustainable development and the direction in which its economy will head. This paper discusses the contribution of industrial structural adjustment to regional energy efficiency growing with a spatial perspective. This study based on 31 mainland provinces in China, uses statistics of industrial structure and corresponding energy utilization data, adopting mathematic model and spatial analysis approaches, reveals that the 31 provinces in China differed in their contribution to industrial structural adjustment to regional energy efficiency. The outcome reflected contribution is obvious in those provinces with appropriate industrial structure and good economies or the ones developed late as well as the undeveloped middle and western provinces that are in initial stage of industrial restructuring. But that is not obvious in those provinces with the undeveloped leading industries, with weak economic basis, and with a relatively low level of industrial structure.

Metaheuristic Resource Allocation Strategy for Cluster Based 6G Industrial Applications

The emergence of Beyond 5G(B5G)and 6G networks translated personal and industrial operations highly effective,reliable,and gainful by speeding up the growth of next generation Internet of Things(IoT).Industrial equipment in 6G encompasses a huge number of wireless sensors,responsible for collecting massive quantities of data.At the same time,6G network can take real-world intelligent decisions and implement automated equipment operations.But the inclusion of different technologies into the system increased its energy consumption for which appropriate measures need to be taken.This has become mandatory for optimal resource allocation in 6G-enabled industrial applications.In this scenario,the current research paper introduces a new metaheuristic resource allocation strategy for clusterbased 6G industrial applications,named MRAS-CBIA technique.MRASCBIA technique aims at accomplishing energy efficiency and optimal resource allocation in 6G-enabled industrial applications.The proposed MRAS-CBIR technique involves three major processes.Firstly,Weighted Clustering Technique(WCT)is employed to elect the optimal Cluster Heads(CHs)or coordinating agents with the help of three parameters namely,residual energy,distance,and node degree.Secondly,Decision Tree-based Location Prediction(DTLP)mechanism is applied to determine the exact location of Management Agent(MA).Finally,Fuzzy C-means with Tunicate Swarm Algorithm(FCMTSA)is used for optimal resource allocation in 6G industrial applications.The performance of the proposed MRAS-CBIA technique was validated and the results were examined under different dimensions.The resultant experimental values highlighted the superior performance of MRAS-CBIR technique over existing state-of-the-art methods.

Methods for the Efficient Energy Management in a Smart Mini Greenhouse

To solve the problem of energy efficiency of modern enterprise it is necessary to reduce energy consumption.One of the possible ways is proposed in this research.A multi-level hierarchical system for energy efficiency management of the enterprise is designed,it is based on the modular principle providing rapid modernization.The novelty of the work is the development of new and improvement of the existing methods and models,in particular:1)models for dynamic analysis of IT tools for data acquisition and processing(DAAP)in multilevel energy management systems,which are based on Petri nets;2)method of synthesis of DAAP tools in energy efficiency management information systems(EEMIS)of the enterprise which provides a reduction in hardware and time costs from 10%to 40%;3)method of conflict-free data exchange determining the minimum memory speed for the synthesis of realtime exchanges,it reduces the cost and energy consumption;4)method of calculating the signal of postsynaptic excitation of neural elements decreases the processing time of technological data two or more times.The proposed methods,models and tools have been tested while implementing the EEMIS of the intelligent mini-greenhouse,as a result,energy efficiency has increased by 12%-25%(depending on season and peculiarities of growing plants).

Spatial energy efficiency patterns and the coupling relationship with industrial structure： A study on Liaoning Province, China

Using a sample of 14 prefecture-level cities in Liaoning Province, this study first explored the spatial hierarchy and structural characteristics of energy efficiency from the following three viewpoints： energy technical efficiency based on data envelopment analysis, energy consumption per unit of GDP, and energy utilization efficiency combining the previous two indexes After measuring and analyzing the advancement, rationality, and concentration of the industrial structure in each city, we made some generalizations about the coupling features of the energy efficiency and industrial structure in Liaoning, using the coupling degree rating model Some of our conclusions are as follows： （1） The 14 cities differ significantly in their en- ergy efficiency, with Shenyang, Dalian, Anshan, and Jinzhou enjoying the highest energy effi- ciency. Northwestern Liaoning and other heavy-industrial cities such as Fushun and Benxi belong to low-efficiency and high-consumption areas. （2） In areas with higher efficiency, the spatial patterns of the energy technical efficiency, energy consumption per unit of GDP, and energy utilization efficiency are, respectively, ＂π ＂-, ＂Ⅱ＂- and ＂H＂- shaped. Geographically, the energy utilization efficiency shows different trends from east to west and from north to south. Factors such as the binuclear structure of economic development have a major effect on this spatial pattern of energy efficiency. （3） Southeastern Liaoning enjoys a highly advanced in- dustrial structure. Areas with a highly rational industrial structure form an ＂H＂ shape, with Shenyang and Dalian at the two poles. The urban agglomerations in middle and southern Liaoning have a highly concentrated industrial structure. （4） Overall, the coupling between energy efficiency and industrial structure is low in Liaoning, except for Shenyang and Dalian at both ends, where the coupling between an advanced industrial structure and energy efficiency is higher than in other cities.

Regional characteristics of industrial energy efficiency in China： application of stochastic frontier analysis method

This paper analyzed regional industrial energy efficiency in China with Total-Factor Energy Efficiency （TFEE）. The East region has the best energy efficiency and the Central and the West regions stand as the second and the third respectively. However, it is found that industrial energy efficiency of all regions increased from 1998 to 2006. This result is consistent with level of economic development of every region. The industries of all provinces in China are not yet at the frontier efficiency position, therefore, to the frontier as target, their technol- ogy levels and production processes should be adjusted accordingly. Compared with the conventional energy efficiency, the inverse of energy intensity, which is defined as the ratio of actual output to energy input, is regarded as Single-Factor Energy Efficiency （SFEE） index. Although TFEE ranks are not changed for each region, they are different for each province. The comparative result also shows that the substitution among inputs （labor, capital stock, and energy） to produce the output is significant. The SFEE scores could be over-estimated if energy is taken as the single input in the production. Finally, we identified determining factors affecting industrial energy efficiency using Tobit model. The results indicate that an increase of per capita Gross Domestic Product （GDP）, the percentage of output value of industry invested by Hong Kong, Macao, Taiwan and abroad, energy price and investment of scientific and technological activities for industry could be possible contributors and drivers to the industrial energy efficiency. However, increasing of heavy industry will lead to worse industrial energy efficiency.

Striving for an Energy and Resources Saving Refinery with Harmonious Development

The operating circumstances of refinery industry in China in 2005 were referred to in this paper, along with the processes for development of petrochemical industry aimed at regionalization, concentrated disposition of enterprises and construction of industrial bases. The pressure faced currently by the oil refining industry in terms of resources avalibility and environmental regulations was analyzed. The key elements associated with the refining industry restructuring to economize on all kinds of resources were discussed and presented. It is stated that the key for building an energy and materials saving oil refining industry should rely on the adoption of advanced process and engineering technology, adjustment of refinery configuration, improving the energy and resources utilization efficiency, deep processing of crude oils, optimizing all kinds of resources, reducing effluents by saving water, as well as boosting the integration of oil refining with chemical production, concentrated disposition and realization of large scale of process units.

Overview of Energy and Environmental Issues in the Passenger Automobile Industry

The global supplies of petroleum are on the decline and the dwindling resource has become increasingly difficult to access. Improved technology is increasingly been required to access petroleum that is in hard to reach geographical environments and has chemical composition that is not entirely compatible with existing processing techniques. Alternative energy involves energy from renewable and non-depleting sources such as wind and solar, offer many opportunities for research and development and are been widely developed globally. These sources of energy are expected to reduce the threat of a changing climate, air pollution and oil dependence caused by the automobile industry. There are many economic, environmental and societal benefits of employing various alternative energy sources or options in the passenger automobile industry for motive power. Transitioning from a monoculture of hydrocarbon-based transportation will be just as signify- cant as investments in research and development needed to develop a portfolio of cost-competitive and safe alternative powertrain technologies that can effectively retire the fossil fueled internal combustion engine, without much of any economic stress. In this work, we couple energy and environmental issues to obtain a realistic indication of the future of alternative powertrain technologies for the future of the passenger automobile industry.

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.

新型能源体系发展背景下煤炭清洁高效转化的挑战及途径

当今世界地缘政治风险加剧、气候环境问题凸显,能源转型变革加快。在此背景下,构建更加适应形势变化的能源体系对提高我国能源供应系统的可持续性及安全稳定性意义重大。目前我国化石能源仍占据主体地位。油气资源存在能源安全问题及新能源技术水平有待提升,中国短期内对煤炭能源仍将保持较高依赖性。因此,推进煤炭清洁高效转化对于新型能源体系的构建具有重要意义。首先对新型能源体系的具体内涵与构建方向展开讨论,并在此基础上,对新时代中国煤化工产业的发展现状以及面临的机遇与挑战进行了阐述,以期为煤炭的清洁高效转化技术的进步及煤化工产业的未来发展提供建议。新时代要求赋予新型能源体系更多的内涵。因此从战略上看,未来能源体系应具备“安全高效、清洁低碳、多元协同、智能普惠”多个特征,这也对煤炭产业的清洁高效发展提出了更高的要求。我国的煤炭清洁高效转化已取得显著进步,但多个关键技术仍亟待突破。结合煤炭产业转型发展与“双碳”目标关系的系统性认识,在新型能源体系建设的需求下,推进煤炭清洁高效转化对于社会经济发展、助力“双碳”目标实现具有重要意义,其关键在于加强该领域相关学科专业的基础研究和煤炭清洁高效转化技术的创新开发。

Energy Audit in the Meat Processing Industry—A Case Study in Hermosillo,Sonora Mexico

The meat processing industry, due to its high energy consumption, needs to be assessed in an energy usage basis. This paper reports the results and implications of an energy audit in a meat processing industry. In addition, this work provides a comprehensive and practical approach to energy saving measures in the assessed company to recognize factors that can determine a possible transition to sustainable patterns of electricity consumption. The paper described the application to energy auditing, developed by AFNOR (2014) for efficient energy management along with ISO 50001 (energy management systems). For a more specific energy auditing the guide described by Dall “O” (2013) was used. In this case, a study of an integrative characterization of the company’s energy consumption is made. The research has been divided in two main sections: the first includes an analysis about the characterization of the energy consumption within a meat processing company in the three sustainable approaches such as economical, societal and mainly environmental implications;second, a proposal for strategic energy management measures focusing on high consumer types of facilities. The results obtained allow the identification of main processes with significant correlations in terms of energy consumption within the company. This data has the potential for energy savings. The data acquisition process prompts the development of practical and accessible energy efficiency measures. In addition, a benchmarking analysis with several tools is performed. Altogether, this work gives guidance on the implementation of energy auditing in industries within its geographical and industrial sector limitations.

我国航运业绿色低碳发展的需求、路径与展望

为探讨航运业在综合运输体系中的重要性,并针对加速航运业绿色低碳发展对实现交通运输行业双碳战略目标的意义展开分析。通过考察航运业当前的碳排放状况,分析我国在绿色低碳发展方面存在的问题,对国内外绿色航运政策需求及其对航运业的影响进行综合评估。在此基础上,研究我国航运业绿色低碳发展的路径,包括总体思路、基本原则,以及相应的策略与实施措施,展望航运业绿色低碳发展的技术创新方向,提出从能源替代和运营管理两个方面促进航运业绿色低碳发展。

Energy and Material Flow Evaluation with CO2 Emissions in the Glass Production Process

Glass manufacturing is an energy-intensive process with high demands on product quality. The wide usage of glass products results in a high end-product diversity. In the past, many models have been developed to optimize specific process steps, such as glass melting or glass forming. This approach presents a tool for the modeling of the entire glass manufacturing process for container glass, flat glass, and glass fibers. The tool considers detailed bottom-up energy and material balance in each step of the processing route with the corresponding costs and CO2 emissions. Subsequently, it provides the possibility to quantify optimization scenarios in the entire glass manufacturing process in terms of energy, material and cost flow efficiency.

Main Results of an Energy Audit in a Milk Processing Industry in Taquara,Southern Brazil

The industrial energy diagnosis presented in this work occurred in a milk product cooperative, from an analysis of energy consumption in the main milk industrialization and a diagnosis of energy end uses of lighting and cooling systems. Almost all stages of milk industrialization are used hot water and steam generated in the boilers. The largest electricity consumption in this sector is by electric motors followed by cooling needed to maintain the quality of milk products. Because energy costs represent a significant portion of the monthly cost of the company, an analysis of the energy costs of the past two years to check the consumption of active and reactive energy and power demand contracted is performed. This paper presents the main results of an energy audit in a milk processing industry in southern Brazil.