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International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2012)

作者： Guo, Xiaoqiao Zhang, Bin Yan, Gang Univ Technol Engn & Tech Coll Chengdu Dept Automat Engn Leshan 614000 Peoples R China Minist Environm Protect Policy Res Ctr Environm & Econ Beijing 100029 Peoples R China Petro China Southwest Oil & Gas Field Co Labor & Salary Dept Chengdu 610051 Peoples R China

ISBN: (纸本)9783037856345

As china become the world factory, machinery manufacturing industry accounts for more and more part of economic development and energy consumption in china nowadays. Based on input-output analysis method, the direct and complete coefficients of energy consumption in machinery manufacturing industry were calculated, and the percentage of energy consumption driven by different factors was also computed respectively. It can be demonstrated machinery manufacturing industry will induce the energy consumption in the other industries extensively and exporting is the main factor which drives the energy consumption in machinery manufacturing industry.

关键词： energy consumption machinery manufacturing industry input-output method

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Energy-water nexus embodied in the supply chain of China: Direct and indirect perspectives

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ENERGY CONVERSION AND MANAGEMENT 2019年第Mar.期183卷 126-136页

作者： Fan, Jing-Li Kong, Ling-Si Zhang, Xian Wang, Jian-Da China Univ Min & Technol Beijing Sch Energy & Min Engn Beijing 100083 Peoples R China China Univ Min & Technol State Key Lab Coal Resources & Safe Min Beijing 100083 Peoples R China Beijing Inst Technol Ctr Energy & Environm Policy Res Beijing 100081 Peoples R China Minist Sci & Technol Adm Ctr Chinas Agenda 21 Beijing 100038 Peoples R China

Energy and water have become major constraints for China's sustainable development. Effective measures focused on resource conservation are important to this country. In this study, a comprehensive assessment is conducted of the energy and water use of different sectors using exhaustive data collection and an environmentally extended input-output model. Given the interdependent relationship between energy and water, this paper also identifies the key sectors with most closed energy-water nexus. The results show the following;(1) the key sectors for high direct energy consumption and water use include Mining and Washing of Coal, Manufacture of Chemicals, Manufacture of Nonmetallic Mineral Products, Manufacture and Processing of Metals, and Electricity. (2) The key sectors for high indirect energy consumption and water use include the Manufacture of Chemicals, Manufacture of Electrical Machinery, and Construction. (3) The Manufacture of Chemicals sector should be focused on due to its direct and indirect influences. A focus on the key sectors may provide a greater opportunity for simultaneously achieving energy savings and water conservation, whereas different priorities should be applied;production-based or technology-related measures are effective for influencing direct energy consumption and water use, whereas consumption-based or end-use measures are better suited for influencing indirect energy consumption and water use.

关键词： Energy-water nexus Key sectors Direct energy and water use Indirect energy and water use input-output method

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Optimization and Upgrade of Industrial Structure in the Context of China's Supply-side Reform: An Analysis Based on input-output

World Scientific Research Journal

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World Scientific Research Journal 2020年第3期6卷 65-73页

作者： Xuejing Wei Liwei Ye

Based on the input and output table of national economic accounting in 2007 and 2012, by calculating the index of industrial relevance and the index of input-output relationship, this paper analyzes the changing trend of China's industrial structure and specific industrial sectors' influence on the national economy. It also pays attention to the changes in the distribution of the industrial structure of traditional processing manufacturing and high value-added capital technology-intensive industries in China, and attempts to reflect the role of capital technology factors on China's industrial structure adjustment. The conclusion shows that the industries that have a significant role in promoting and stimulating the national economy are still mostly high value-added, capital and technology-intensive processing manufacturing industries, but the positive impact of productive services on the national economy is also significant. In addition, from the perspective of factor supply, it is found that the supply structure of China's capital factor is not reasonable, while the forward linkage between the production and supply sectors of technological factors and other industrial sectors is weakening, also the driving effect on the national economy is declining.

关键词： Supply Side Reform Adjustment of Industrial Structure input-output method

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Embodied water demands, transfers and imbalance of China's mega-cities

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JOURNAL OF CLEANER PRODUCTION 2018年 172卷 1336-1345页

作者： Li, Yilin Han, Mengyao Chinese Acad Sci Key Lab Reg Sustainable Dev Modeling Beijing 100101 Peoples R China Chinese Acad Sci Inst Geog Sci & Nat Resources Res Beijing 100101 Peoples R China Peking Univ Coll Engn Lab Syst Ecol & Sustainabil Sci Beijing 100871 Peoples R China North China Elect Power Univ Dept Power Engn Beijing 071003 Hebei Peoples R China

Water resources are of fundamental significance as the basis of human life, economy, and society. Especially as the essential socioeconomic factors, water resources transferred through merchandise trade of China's mega-cities (Beijing, Tianjin, Shanghai and Chongqing) play an increasingly crucial role in China's regional water use allocation. On the whole, the four municipalities in China are all embodied water recipients along supply chains. However, it is found that embodied water transfers (including direct and indirect water) related to these mega-cities have exacerbated the regional water use imbalance and affected the water use efficiency of China as a whole to some extent. In consideration of the increasing trading exchanges among cities and regions, ignoring water transfers embodied in trades will lead to failure in depicting actual water demands. In such a context, the embodied water demands and transfers of China's municipalities are analyzed systematically, and the water use efficiencies and allocation imbalance are assessed for the first time. Outcomes of this study through systems accounting of water use profiles of China's mega-cities can be strong supports for reasonable allocation and utilization of China's water resources, showing important implications for water pressure mitigation. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： Water resources Mega-cities Water transfers input-output method Trade imbalance

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Thermoeconomic diagnosis and malfunction decomposition: methodology improvement of the Thermoeconomic input-output Analysis (TIOA)

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ENERGY CONVERSION AND MANAGEMENT 2018年 157卷 644-655页

作者： Keshavarzian, Sajjad Rocco, Matteo V. Colombo, Emanuela Politecn Milan Dept Energy Via Lambruschini 4 I-21056 Milan Italy

Faults and malfunctions occurring in engineering systems may cause additional resources consumptions and economic expenditures, thus their detection and isolation is of great practical significance. The procedure to discover faults is known as diagnosis, and it can be based on different techniques, depending on the purpose of the analysis: to predict the failure time of the component, or to quantify the inefficiencies of the system due to the anomaly. Among the existing approaches adopted to diagnose the energy systems, Thermoeconomic diagnosis provides useful information to detect the anomalies and to quantify its negative impacts. However, this method does not allow to identify possible strategies useful to reduce the inefficiencies caused by anomalies, which could be a crucial need for the system operator. To face this issue, this article proposes a method to perform Thermoeconomic diagnosis of energy systems that enables the analyst to understand the interdependencies between the components, and decomposing the main indicator resulting from Thermoeconomic diagnosis, known as malfunction. The method provides useful information for the system operators to define practical strategies to reduce the negative effects of malfunctions. This approach is also formalized and applied to the CGAM benchmark to highlight the practical achievements of this approach with numerical values. It is found that the proposed approach provides useful insight about the effects of malfunctions, and it may be helpful for system operators to reduce the negative impacts of the anomaly by pinpointing the component with higher contribution in total inefficiency of the system. In this specific case, proper intervention on the pinpointed component mitigated the total inefficiency of the system by almost 40%, and recovered the reference efficiency of the system.

关键词： Thermoeconomic diagnosis input-output method Malfunction decomposition Exergy analysis

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Trends and Consumption Structures of China's Blue and Grey Water Footprint

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WATER 2018年第4期10卷 494页

作者： Wang, Huixiao Yang, Yaxue Beijing Normal Univ Beijing Key Lab Urban Hydrol Cycle & Sponge City Coll Water Sci 19 XinJieKouWai St Beijing 100875 Peoples R China

Water footprint has become a common method to study the water resources utilization in recent years. By using input-output analysis and dilution theory, the internal water footprint, blue water footprint and grey water footprint of China from 2002 to 2012 were estimated, and the consumption structure of water footprint and virtual water trade were analyzed. The results show: (1) From 2002 to 2012, the average annual internal water footprint was 3.83 trillion m(3) in China, of which the blue water footprint was 0.25 trillion m(3), and the grey water footprint was 3.58 trillion m(3) (with Grade III water standard accounting);both the internal water footprint and grey water footprint experienced decreasing trends from 2002 to 2012, except for a dramatic increase in 2010;(2) Average annual virtual blue water footprint was the greatest in agriculture (39.2%), while tertiary industry (27.5%) and food and tobacco processing (23.7%) were the top two highest for average annual virtual grey water footprint;(3) Virtual blue water footprint in most sectors showed increasing trends due to the increase of final demand, while virtual grey water footprint in most sectors showed decreasing trends due to the decreases of total return water coefficients and conversion coefficients of virtual grey water footprint;(4) For water resources, China was self-reliant: the water used for producing the products and services to meet domestic consumption was taken domestically;meanwhile, China exported virtual water to other countries, which aggravated the water stress in China.

关键词： water footprint input-output method virtual water water resources

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Fault detection and control co-design for discrete-time delayed fuzzy networked control systems subject to quantization and multiple packet dropouts

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FUZZY SETS AND SYSTEMS 2017年第Jan.1期306卷 1-25页

作者： Wang, Shenquan Jiang, Yulian Li, Yuanchun Liu, Derong Changchun Univ Technol Coll Elect & Elect Engn Changchun 130012 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China

This paper investigates the problem of fault detection (FD) for discrete-time delayed fuzzy networked control systems with quantization and packet dropouts. Different from existing results for FD, the proposed ones are toward closed-loop design problem, that is, the controller gain, and the fault detection filter (FDF) gains are designed simultaneously. The missing phenomenon is assumed to occur, in the communication links for quantizer-to-FDF and controller-to-physical plant, where the missing probability of packet dropouts is governed by an individual random binary distribution, while the quantization errors are treated as sector-bound uncertainties. The discrete-time fuzzy networked system is first transformed into the form of interconnection of two subsystems by applying an input output method and a two-term approximation approach, which is employed to approximate the time-varying delay. Our attention is focused on the design of fuzzy fault detection filter (FFDF) such that, for all data missing conditions, and measurement quantization, the residual system is stochastically stable with a guaranteed H-infinity performance. Sufficient conditions are first established via introducing some slack matrices to facilitate the FDF design procedure by eliminating the coupling between the Lyapunov matrices and the system matrices. Numerical examples are provided to demonstrate the effectiveness and applicability of the proposed method. (C) 2016 Elsevier B.V. All rights reserved.

关键词： Networked control systems (NCSs) Fuzzy fault detection filter input-output method Quantization Time-varying delays Packet dropouts Closed-loop design

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Tracing the inter-regional coal flows and environmental impacts in Jing-Jin-Ji region

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ECOLOGICAL MODELLING 2017年 364卷 98-112页

作者： Liu, Gengyuan Casazza, Marco Tian, Xin Zhang, Yan Hao, Yan Zhang, Lixiao Liang, Sai Giannetti, Biagio F. Beijing Normal Univ Sch Environm State Key Joint Lab Environm Simulat & Pollut Con Beijing 100875 Peoples R China Beijing Engn Res Ctr Watershed Environm Restorat Beijing 100875 Peoples R China Univ Naples Parthenope Ctr Direz Isola C4 I-80143 Naples Italy Univ Paulista Programa Posgrad Engn Prod Lab Prod & Meio Ambiente R Dr Bacelar 1212 BR-04026002 Sao Paulo Brazil

Coal, which plays a critical role in sustaining society development in Jing-Jin-Ji region (China), has become a controversial issue and has aroused extensive attention due to its implications with both climate change and human health. Based on the model of inter-regional transportation in Jing-Jin-Ji, we propose a Regional Coal Industry Chain Balance Table to define the full coal chain energy flows analysis framework. Besides, process chain analysis and input-output analysis are used for embodied energy accounting as well as for environmental impact assessment of 24 kinds of pollutants in the region.& para;& para;Results show that the direct use of raw coal represents a large proportion in Jing-Jin-Ji region's coal industry Chain. By comparing the results from embodied energy analysis with the energy analysis findings, we can ascertain that coal chemical industry still keeps quite a small share of the energy consumption of coal industry chain. Coke is the main source of energy uses in final consumption, being also the key contributor in terms of embodied energy. In terms of final consumption, the industry keeps the vast majority of the use share (about 90 %) in both direct and indirect flows. Consequently, a more effective control of industrial use of coal resources would play a fundamental role for improving energy efficiency and for decreasing pollution. The energy utilization efficiency of coal cleaning, coal products processing and coking of coal conversion in Jing-Jin-Ji region during year 2012 were 87.77%, 92.46 and 90.97%, respectively, i.e. a little less than the energy utilization efficiency of coal refining in China for the same year (96.16%). The direct use of raw coal, coke and the coking process were the key contributors to the 7 main pollutants of coal industry chain in Jing-Jin-Ji region 2012. Responding appropriately would improve the direct use of raw coal, coke and the coking process, while reducing the emissions of coal industry chain in Jing-Jin-

关键词： Jing-Jin-Ji region Embodied energy input-output method Full coal supply chain Regional emission inventory

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Driving forces analysis of energy-related carbon dioxide (CO₂) emissions in Beijing: an input-output structural decomposition analysis

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JOURNAL OF CLEANER PRODUCTION 2017年 163卷 58-68页

作者： Wei, Jing Huang, Kai Yang, Shunshun Li, Yan Hu, Tingting Zhang, Yue Beijing Forestry Univ Coll Environm Sci & Engn Beijing 100083 Peoples R China Hunan Acad Social Sci Changsha 410003 Hunan Peoples R China Hubei Water Resources Res Inst Wuhan 430070 Hubei Peoples R China

Low carbon dioxide (CO2) emissions are the foundation on which to realize the sustainable development of a green China. Recently in Beijing, the capital of China, serious environmental pollution-climate anomaly, severe haze and human sub-health have been accorded more importance. This study examines the energy-related CO2 emissions generated by Beijing industries from 2000 to 2010 by using an input-output analysis method. The direct, indirect and total CO2 emissions of sectors in Beijing were calculated. In addition, structural decomposition analysis (SDA) was conducted to evaluate the driving factors from the perspective of technology, sectoral connection, economic structure and economic scale. The results show that the growth rate of sectoral CO2 emissions in Beijing has drastically increased during this time with a moderate decline during 2007-2010. The metal and non-metal mining industries, the electric power, gas and water supply sector and the construction industry caused the most CO2 emissions. The economic structure change and the rapid economic growth led to the significant increase in CO2 emissions growth in Beijing. Thus, optimizing the economic structure and improving the technology are important to alleviate CO2 emissions. Although we can currently appropriately utilize fossil fuels, further research on new energy and clean development, as well as enhanced government management strength is required to reduce CO2 emissions. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Beijing CO2 emission input-output method Structural decomposition analysis

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LMDI decomposition of energy consumption in Guangdong Province, China, based on an energy allocation diagram

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ENERGY 2017年 133卷 525-544页

作者： Chong, ChinHao Liu, Pei Ma, Linwei Li, Zheng Ni, Weidou Li, Xu Song, Shizhong Tsinghua Univ Tsinghua BP Clean Energy Ctr Dept Thermal Engn State Key Lab Power Syst Beijing 100084 Peoples R China

This manuscript analyzes the influencing factors of energy consumption growth in Guangdong Province using the logarithmic mean Divisia index I (LMDI) decomposition method developed based on the physical processes of energy utilization from the primary energy supply to end-use sectors. By introducing the input-output method for mapping the energy allocation diagrams of Guangdong Province, we derive the primary energy quantity conversion factors, which establish the connection between end-use energy consumption and primary energy consumption. These factors are used to develop an LMDI decomposition method suitable for analyzing the energy consumption growth of this region. The method is subsequently applied to analyze the factors influencing energy consumption growth in Guangdong Province from 2004 to 2014. The results indicate that the growth of GDP per capita and population are the dominant factors driving energy consumption growth, while the improvement of electricity supply efficiency is the main factor inhibiting energy consumption growth. (C) 2017 Published by Elsevier Ltd.

关键词： Energy consumption LMDI Sankey diagram input-output method Influencing factor Guangdong Province Primary energy quantity conversion factor

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