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Decomposition analysis applied to energy and emissions: A literature review

《工程管理前沿（英文）》   页码 625-639 doi: 10.1007/s42524-023-0270-4

摘要： Decomposition analysis has been widely used to assess the determinants of energy and CO2 emissions in academic research and policy studies. Both the methodology and application of decomposition analysis have been largely improved in the past decades. After more than 50 years’ developments, decomposition studies have become increasingly sophisticated and diversified, and tend to converge internally and integrate with other analytical approaches externally. A good understanding of the literature and state of the art is critical to identify knowledge gaps and formulate future research agenda. To this end, this study presents a literature survey for decomposition analysis applied to energy and emission issues, with a focus on the period of 2016–2021. A review for three individual decomposition techniques is first conducted, followed by a synthesis of emerging trends and features for the decomposition analysis literature as a whole. The findings are expected to direct future research in decomposition analysis.

关键词： index decomposition analysis     structural decomposition analysis     production decomposition analysis     energy     CO2 emissions    

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基于变量分离的生产调度空间划分算法

高永超,李歧强,丁然,郭庆强

《中国工程科学》 2006年 第8卷 第9期   页码 61-64

摘要：

静态生产调度大多形成MILP或MINLP模型，由于调度规模大及混合整数规划的组合优化特性，造成调度求解困难。通过对混合整数规划模型空间的分析，提出依据整数变量和连续变量的分离策略进行空间的自然划分，从而将模型的求解转化为多个较小规模连续子空间的寻优。对典型间歇调度模型的分析表明，将空间划分后进行连续寻优的策略较大地降低了实际运算的规模，降低了求解难度，可以提高问题的求解速度和效率。

关键词： 生产调度     空间划分     半限定方法    

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Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China

Wenqiang SUN, Jiuju CAI, Hai YU, Lei DAI

《环境科学与工程前沿（英文）》 2012年 第6卷 第2期   页码 265-270 doi: 10.1007/s11783-011-0284-8

摘要： This work aims to identify the main factors influencing the energy-related carbon dioxide (CO ) emissions from the iron and steel industry in China during the period of 1995–2007. The logarithmic mean divisia index (LMDI) technique was applied with period-wise analysis and time-series analysis. Changes in energy-related CO emissions were decomposed into four factors: emission factor effect, energy structure effect, energy consumption effect, and the steel production effect. The results show that steel production is the major factor responsible for the rise in CO emissions during the sampling period; on the other hand the energy consumption is the largest contributor to the decrease in CO emissions. To a lesser extent, the emission factor and energy structure effects have both negative and positive contributions to CO emissions, respectively. Policy implications are provided regarding the reduction of CO emissions from the iron and steel industry in China, such as controlling the overgrowth of steel production, improving energy-saving technologies, and introducing low-carbon energy sources into the iron and steel industry.

关键词： carbon dioxide (CO2) emissions     decomposition analysis     logarithmic mean divisia index (LMDI) technique     time-series analysis    

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Dielectric barrier micro-plasma reactor with segmented outer electrode for decomposition of pure CO

Baowei Wang, Xiaoxi Wang, Bo Zhang

《化学科学与工程前沿（英文）》 2021年 第15卷 第3期   页码 687-697 doi: 10.1007/s11705-020-1974-1

摘要： Four coaxial cylinder dielectric barrier discharge micro-plasma reactors were designed for the non-catalytic decomposition of pure CO into CO and O at low temperature and ambient pressure. The influence of segmented outer electrodes on the electrical characteristics and the reaction performance was investigated. Experimental results indicated that the introduction of segmented outer electrodes can significantly promote the decomposition of CO . Encouragingly, the highest conversion of 13.1% was obtained at an applied voltage of 18 kV, which was a substantial increase of 39.4% compared to the traditional device. Compared with other types of dielectric barrier discharge plasma reactors, the proposed segmented outer electrode micro-plasma reactor can give a higher CO conversion and acceptable energy efficiency. The increase in conversion can be attributed mainly to the enhanced corona discharge caused by the fringe effect at electrode edges, the increase in energy density and the increase in the number of micro-discharges. In addition, detailed electrical characterization was performed to reveal some trends in the electrical behavior of proposed reactors.

关键词： CO2 decomposition     dielectric barrier discharge     segmented outer electrodes     electrical analysis     reactor design    

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Thermal decomposition mechanism of ammonium sulfate catalyzed by ferric oxide

Xingfu SONG, Jingcai ZHAO, Yunzhao LI, Ze SUN, Jianguo YU

《化学科学与工程前沿（英文）》 2013年 第7卷 第2期   页码 210-217 doi: 10.1007/s11705-013-1320-y

摘要： The decomposition mechanism of ammonium sulfate catalyzed by ferric oxide was investigated in this paper. The decomposition kinetics parameters were determined via a global optimization of the Kissinger iterative method using the non-isothermal thermogravimetric analysis data. The products and intermediates were synchronously characterized by X-ray diffraction and mass spectrometry. The obtained results indicate that the decomposition process of ammonium sulfate catalyzed by ferric oxide can be divided into four stages of which the activation energies are 123.64, 126.58, 178.77 and 216.99 kJ·mol respectively. The decomposition mechanisms at the first and the fourth stage both belong to Mample power theorem, the second stage belongs to Avrami-Erofeev equation and the third belongs to contracting sphere (volume) equation. The corresponding pre-exponential factors ( ) are calculated simultaneously.

关键词： ammonium sulfate     decomposition kinetics     ferric oxide     thermogravimetric analysis    

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

《工程管理前沿（英文）》   页码 486-498 doi: 10.1007/s42524-022-0215-3

摘要： Electricity consumption is one of the major contributors to greenhouse gas emissions. In this study, we build a power consumption carbon emission measurement model based on the operating margin factor. We use the decomposition and decoupling technology of logarithmic mean Divisia index method to quantify six effects (emission intensity, power generation structure, consumption electricity intensity, economic scale, population structure, and population scale) and comprehensively reflect the degree of dependence of electricity consumption carbon emissions on China’s economic development and population changes. Moreover, we utilize the decoupling model to analyze the decoupling state between carbon emissions and economic growth and identify corresponding energy efficiency policies. The results of this study provide a new perspective to understand carbon emission reduction potentials in the electricity use of China.

关键词： electricity consumption carbon emission measurement     LMDI model     decoupling model     data driven    

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Antimicrobial use in food animal production: situation analysis and contributing factors

Ziping WU

《农业科学与工程前沿（英文）》 2018年 第5卷 第3期   页码 301-311 doi: 10.15302/J-FASE-2018207

摘要：

By measuring the quantity and ways in which antimicrobials are used, and reviewing different technical and socioeconomic factors influencing antimicrobial use at farm level, this study discusses the main knowledge gaps in antimicrobial use in food animal production and provides recommendations for future research and policy development. The review reveals that antimicrobial use in food animals exhibit strong regional and species differences, and there are still large information gaps concerning the current state of antimicrobial use. Factors associated with animal health (including antimicrobial resistance), animal health improvement, economic costs and benefits relevant to animal diseases, and potential technological alternatives or alternative systems all have an impact on antimicrobial use on the farm. There is a clear need to resolve the data gap by monitoring antimicrobial use and developing an analytical framework to better understand farmer behaviors under different technical, economic and environmental circumstances.

关键词： antimicrobial use     drivers for antimicrobial use     food animal production    

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图像水印框架的层级-方向分解分析 Article

M. F. KAZEMI,M. A. POURMINA,A. H. MAZINAN

《信息与电子工程前沿（英文）》 2016年 第17卷 第11期   页码 1199-1217 doi: 10.1631/FITEE.1500165

摘要： 本文研究新型层级-方向分解在图像水印中的应用。实现水印框架的主要步骤是生成带有水印的图像，重点用到轮廓小波嵌入表达。通过一组模拟攻击，基于峰值信噪比（peak signal-to-noise ratio）、结构相似度（structural similarity）等指标评估其性能。利用一组图像并使用不同颜色模型分析所获信息，以判断正态相关性。相应地，每当扰码模块作用于一组原始图像，用以表示无序信息，就使用逆轮廓小波嵌入表达以获取带有水印的图像。从而，我们可以通过分析一个复杂系统--其中设计了一个决策系统，使用轮廓小波嵌入表达来发现最优层级和相应方向--评估所提方法的性能。对于所得到的结果，利用恰当的层级-方向分解阐释。本文主要贡献在于，在轮廓小波嵌入表达新机制的基础上，集成一套子系统，与决策系统相配合。与现有方法相比，本文所述方法在大量重度攻击下仍然有效。利用多个基准数据集对所提方案进行了测试，结果证实方法有效。

关键词： 层级-方向分解分析；水印框架；轮廓小波嵌入表达；扰码模块；模拟攻击    

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A neural network-based production process modeling and variable importance analysis approach in corn

《化学科学与工程前沿（英文）》 2023年 第17卷 第3期   页码 358-371 doi: 10.1007/s11705-022-2190-y

摘要： Corn to sugar process has long faced the risks of high energy consumption and thin profits. However, it’s hard to upgrade or optimize the process based on mechanism unit operation models due to the high complexity of the related processes. Big data technology provides a promising solution as its ability to turn huge amounts of data into insights for operational decisions. In this paper, a neural network-based production process modeling and variable importance analysis approach is proposed for corn to sugar processes, which contains data preprocessing, dimensionality reduction, multilayer perceptron/convolutional neural network/recurrent neural network based modeling and extended weights connection method. In the established model, dextrose equivalent value is selected as the output, and 654 sites from the DCS system are selected as the inputs. LASSO analysis is first applied to reduce the data dimension to 155, then the inputs are dimensionalized to 50 by means of genetic algorithm optimization. Ultimately, variable importance analysis is carried out by the extended weight connection method, and 20 of the most important sites are selected for each neural network. The results indicate that the multilayer perceptron and recurrent neural network models have a relative error of less than 0.1%, which have a better prediction result than other models, and the 20 most important sites selected have better explicable performance. The major contributions derived from this work are of significant aid in process simulation model with high accuracy and process optimization based on the selected most important sites to maintain high quality and stable production for corn to sugar processes.

关键词： big data     corn to sugar factory     neural network     variable importance analysis    

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Entropy production analysis of swirling diffusion combustion processes

Deodat MAKHANLALL, Linhua LIU,

《能源前沿（英文）》 2010年 第4卷 第3期   页码 326-332 doi: 10.1007/s11708-009-0058-1

摘要： A critical factor in the design of combustion systems for optimum fuel economy and emission performance lies in adequately predicting thermodynamic irreversibilities associated with transport and chemical processes. The objective of this study is to map these irreversibilities in terms of entropy production for methane combustion. The numerical solution of the combustion process is conducted with the help of a Fluent 6.1.22 computer code, and the volumetric entropy production rate due to chemical reaction, viscous dissipation, and mass and heat transfer are calculated as post-processed quantities with the computed data of the reaction rates, fluid velocity, temperature and radiative intensity. This paper shows that radiative heat transfer, which is an important source of entropy production, cannot be omitted for combustion systems. The study is extended by conducting a parametric investigation to include the effects of wall emissivity, optical thickness, swirl number, and Boltzmann number on entropy production. Global entropy production rates decrease with the increase in swirl velocity, wall emissivity and optical thickness. Introducing swirling air into the combustion system and operations with the appropriate Boltzmann number reduces the irreversibility affected regions and improves energy utilization efficiency.

关键词： entropy-based design     radiation transfer     swirl     magnussen combustion-model    

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Life-cycle assessment and techno-economic analysis of the production of wood vinegar from stem: a case

《化学科学与工程前沿（英文）》 2023年 第17卷 第8期   页码 1109-1121 doi: 10.1007/s11705-022-2296-2

摘要： This research undertook a case study of the life-cycle assessment and techno-economic analysis of the slow pyrolysis of Eucommia stem for the production of wood vinegar and activated carbon. The results showed that the production of one ton of wood vinegar via the slow pyrolysis of Eucommia stem show comparatively low global warming potential (2.37 × 102 kg CO2 eq), primary energy demand (3.16 × 103 MJ), acidification potential (2.19 kg SO2 eq), antimony depletion potential (3.86 × 10–4 kg antimony eq), and ozone depletion potential (7.46 × 10–6 kg CFC-11 eq) and was more environmentally friendly than the production of dilute acetic acid (12 wt %) via petrochemical routes. Meanwhile, the total capital investment, total product cost, and cash flowsheet were provided in the techno-economic analysis. Then, the net present value, internal rate of return, and dynamic payback period of the production process were evaluated. The findings indicated that while this production process is cost-effective, it might not be economically attractive or could generate investment risks. An increase in the added value of the wood vinegar and the activated carbon could remarkably improve the economic feasibility of this production process.

关键词： life-cycle assessment     techno-economic analysis     wood vinegar     activated carbon     Eucommia    

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Catalytic decomposition of low level ozone with gold nanoparticles supported on activated carbon

Pengyi ZHANG , Bo ZHANG , Rui SHI ,

《环境科学与工程前沿（英文）》 2009年 第3卷 第3期   页码 281-288 doi: 10.1007/s11783-009-0032-5

摘要： Highly dispersed gold nanoparticles were supported on coal-based activated carbon (AC) by a sol immobilization method and were used to investigate their catalytic activity for low-level ozone decomposition at ambient temperature. Nitrogen adsorption-desorption, scanning electron microscope (SEM), and X-ray photoelectron spectroscopy (XPS) were used to characterize the catalysts before and after ozone decomposition. The results showed that the supported gold nanoparticles prepared with microwave heating were much smaller and more uniformly dispersed on the activated carbon than those prepared with traditional conduction heating, exhibiting higher catalytic activity for ozone decomposition. The pH values of gold precursor solution significantly influenced the catalytic activity of supported gold for ozone decomposition, and the best pH value was 8. In the case of space velocity of 120000h, inlet ozone concentration of 50mg/m, and relative humidity of 45%, the Au/AC catalyst maintained the ozone removal ratio at 90.7% after 2500min. After being used for ozone decomposition, the surface carbon of the catalyst was partly oxidized and the oxygen content increased accordingly, while its specific surface area and pore volume only decreased a little. Ozone was mainly catalytically decomposed by the gold nanoparticles supported on the activated carbon.

关键词： ozone decomposition     activated carbon     gold nanoparticles     catalysis     sodium citrate     microwave    

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Life cycle assessment and economic analysis of HFC-134a production from natural gas compared with oil-basedand coal-based production

《化学科学与工程前沿（英文）》 2022年 第16卷 第12期   页码 1713-1725 doi: 10.1007/s11705-022-2210-y

摘要： China is the largest producer and consumer of HFC-134a (1,1,1,2-tetrafluoroethane) in the world. Coal-based route is mainly adopted to produce HFC-134a, which suffers from large waste and CO2 emissions. Natural gas is a low-carbon and clean energy resource, and no research has been found on the environment and economy of producing HFC-134a from natural gas. In this study, CML 2001 method was used to carry out the life cycle assessment of natural gas (partial oxidation)-based and natural gas (plasma cracking)-based routes (abbreviated as gas(O)-based and gas(P)-based routes, respectively), and their environmental performances were compared with coal-based and oil-based routes. Meanwhile, considering that China is vigorously promoting the transformation of energy structure, and the application of electric heating equipment to replace fossil-based heating equipment in industrial field, which has a great impact on the environmental performance of the production processes, the authors conducted a scenario analysis. The results showed that the gas(O)-based route had the most favourable environmental benefits. However, the gas(P)-based route had the highest potential for reducing environmental burdens, and its environmental benefit was the most favourable in scenario 2050. Additionally, the economic performance of the gas(P)-based route was significantly better than that of gas(O)-based and coal-based routes.

关键词： life cycle assessment     economic performance     HFC-134a     natural gas     oil     coal    

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Product decomposition strategy for optimization of supply chain planning

Braulio BRUNAUD, Maria Paz OCHOA, Ignacio E. GROSSMANN

《工程管理前沿（英文）》 2018年 第5卷 第4期   页码 466-478 doi: 10.15302/J-FEM-2018059

摘要：

Optimization of large-scale supply chain planning models requires the application of decomposition strategies to reduce the computational expense. Two major options are to use either spatial or temporal Lagrangean decomposition. In this paper, to further reduce the computational expense a novel decomposition scheme by products is presented. The decomposition is based on a reformulation of knapsack constraints in the problem. The new approach allows for simultaneous decomposition by products and by time periods, enabling the generation of a large number of subproblems, that can be solved by using parallel computing. The case study shows that the proposed product decomposition exhibits similar performance as the temporal decomposition, and that selecting different orders of products and aggregating the linking constraints can improve the efficiency of the algorithm.

关键词： supply chain planning     Lagrangean decomposition     mixed-integer programming    

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Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

《结构与土木工程前沿（英文）》 2019年 第13卷 第5期   页码 1082-1094 doi: 10.1007/s11709-019-0537-3

摘要： An out-put only modal parameter identification method based on variational mode decomposition (VMD) is developed for civil structure identifications. The recently developed VMD technique is utilized to decompose the free decay response (FDR) of a structure into to modal responses. A novel procedure is developed to calculate the instantaneous modal frequencies and instantaneous modal damping ratios. The proposed identification method can straightforwardly extract the mode shape vectors using the modal responses extracted from the FDRs at all available sensors on the structure. A series of numerical and experimental case studies are conducted to demonstrate the efficiency and highlight the superiority of the proposed method in modal parameter identification using both free vibration and ambient vibration data. The results of the present method are compared with those of the empirical mode decomposition-based method, and the superiorities of the present method are verified. The proposed method is proved to be efficient and accurate in modal parameter identification for both linear and nonlinear civil structures, including structures with closely spaced modes, sudden modal parameter variation, and amplitude-dependent modal parameters, etc.

关键词： modal parameter identification     variational mode decomposition     civil structure     nonlinear system     closely spaced modes    

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标题 作者 时间 类型 操作

Decomposition analysis applied to energy and emissions: A literature review

期刊论文

基于变量分离的生产调度空间划分算法

高永超,李歧强,丁然,郭庆强

期刊论文

Decomposition analysis of energy-related carbon dioxide emissions in the iron and steel industry in China

Wenqiang SUN, Jiuju CAI, Hai YU, Lei DAI

期刊论文

Dielectric barrier micro-plasma reactor with segmented outer electrode for decomposition of pure CO

Baowei Wang, Xiaoxi Wang, Bo Zhang

期刊论文

Thermal decomposition mechanism of ammonium sulfate catalyzed by ferric oxide

Xingfu SONG, Jingcai ZHAO, Yunzhao LI, Ze SUN, Jianguo YU

期刊论文

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

期刊论文

Antimicrobial use in food animal production: situation analysis and contributing factors

Ziping WU

期刊论文

图像水印框架的层级-方向分解分析

M. F. KAZEMI,M. A. POURMINA,A. H. MAZINAN

期刊论文

A neural network-based production process modeling and variable importance analysis approach in corn

期刊论文

Entropy production analysis of swirling diffusion combustion processes

Deodat MAKHANLALL, Linhua LIU,

期刊论文

Life-cycle assessment and techno-economic analysis of the production of wood vinegar from stem: a case

期刊论文

Catalytic decomposition of low level ozone with gold nanoparticles supported on activated carbon

Pengyi ZHANG , Bo ZHANG , Rui SHI ,

期刊论文

Life cycle assessment and economic analysis of HFC-134a production from natural gas compared with oil-basedand coal-based production

期刊论文

Product decomposition strategy for optimization of supply chain planning

Braulio BRUNAUD, Maria Paz OCHOA, Ignacio E. GROSSMANN

期刊论文

Variational mode decomposition based modal parameter identification in civil engineering

Mingjie ZHANG, Fuyou XU

期刊论文