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Thematische Bibliographien / Hybrid multiregional input-output analysis / Zeitschriftenartikel

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Zeitschriftenartikel zum Thema „Hybrid multiregional input-output analysis“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 18. Februar 2022

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1

Weinzettel, Jan, Kjartan Steen-Olsen, Edgar G. Hertwich, Michael Borucke, and Alessandro Galli. "Ecological footprint of nations: Comparison of process analysis, and standard and hybrid multiregional input–output analysis." Ecological Economics 101 (May 2014): 115–26. http://dx.doi.org/10.1016/j.ecolecon.2014.02.020.

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2

Weinzettel, Jan, Kjartan Steen-Olsen, Edgar G. Hertwich, Michael Borucke, and Alessandro Galli. "Corrigendum to “Ecological footprint of nations: Comparison of process analysis, and standard and hybrid multiregional input–output analysis” [Ecol. Econ. 101 (2014); 115–126]." Ecological Economics 105 (September 2014): 350. http://dx.doi.org/10.1016/j.ecolecon.2014.08.001.

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3

Fleischer, Aliza, and Daniel Freeman. "Multiregional input-output analysis." Annals of Tourism Research 24, no. 4 (1997): 998–1001. http://dx.doi.org/10.1016/s0160-7383(97)00039-x.

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4

Sonis, Michael, and Geoffrey J. D. Hewings. "Economic complexity as network complication: Multiregional input-output structural path analysis." Annals of Regional Science 32, no. 3 (1998): 407–36. http://dx.doi.org/10.1007/s001680050081.

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5

Liu, Qiaoling, and Qi Wang. "Reexamine SO2 emissions embodied in China's exports using multiregional input–output analysis." Ecological Economics 113 (May 2015): 39–50. http://dx.doi.org/10.1016/j.ecolecon.2015.02.026.

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6

Liu, Yating, Saige Wang, and Bin Chen. "Regional water–energy–food nexus in China based on multiregional input–output analysis." Energy Procedia 142 (December 2017): 3108–14. http://dx.doi.org/10.1016/j.egypro.2017.12.452.

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7

Wu, Leying, Zhangqi Zhong, Changxin Liu, and Zheng Wang. "Examining PM2.5 Emissions Embodied in China’s Supply Chain Using a Multiregional Input-Output Analysis." Sustainability 9, no. 5 (2017): 727. http://dx.doi.org/10.3390/su9050727.

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8

Wakiyama, Takako, Manfred Lenzen, Arne Geschke, Ryosuke Bamba, and Keisuke Nansai. "A flexible multiregional input–output database for city-level sustainability footprint analysis in Japan." Resources, Conservation and Recycling 154 (March 2020): 104588. http://dx.doi.org/10.1016/j.resconrec.2019.104588.

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9

Shepard, Jun U., and Lincoln F. Pratson. "Hybrid input-output analysis of embodied energy security." Applied Energy 279 (December 2020): 115806. http://dx.doi.org/10.1016/j.apenergy.2020.115806.

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10

Towa, Edgar, Vanessa Zeller, and Wouter M. J. Achten. "Circular economy scenario modelling using a multiregional hybrid input-output model: The case of Belgium and its regions." Sustainable Production and Consumption 27 (July 2021): 889–904. http://dx.doi.org/10.1016/j.spc.2021.02.012.

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11

Corona, Blanca, Cristina de la Rúa, and Guillermo San Miguel. "Socio-economic and environmental effects of concentrated solar power in Spain: A multiregional input output analysis." Solar Energy Materials and Solar Cells 156 (November 2016): 112–21. http://dx.doi.org/10.1016/j.solmat.2016.03.014.

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12

Vali, S. "Simulation Evidence Bearing on the Structure of Errors in MRIO Analysis." Environment and Planning A: Economy and Space 25, no. 2 (1993): 159–78. http://dx.doi.org/10.1068/a250159.

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In this paper the results are presented of a simulation concerning general tendencies of the MRIO (multiregional input-output) model toward overestimation or underestimation (positive or negative estimation errors). With the forecasts based on Isard's interregional input-output model as a standard, the frequency and volume of the sectoral outputs and intermediate outputs (INOU) estimation errors of the MRIO model are measured under two different economic structures and two different types of final-demands shocks. It is shown that under the condition of strong interconnectedness and overall increase in final demands, the MRIO model underestimates intraregional INOUs and overestimates interregional INOUs. In the case of economies with weak spatial interconnection and subject to a mixed change in the direction of final-demands shocks, the general tendency seems to be toward overestimation of sectoral outputs and INOUs of any sector that experiences a decline in demand for its final product. The model underestimates the other sectors.

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13

Qasemipour, Ehsan, Farhad Tarahomi, Markus Pahlow, Seyed Saeed Malek Sadati, and Ali Abbasi. "Assessment of Virtual Water Flows in Iran Using a Multi-Regional Input-Output Analysis." Sustainability 12, no. 18 (2020): 7424. http://dx.doi.org/10.3390/su12187424.

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The growth of Iran’s agricultural sector in the past few decades has exerted enormous pressure on its aquifers. There is a strong disparity between economic development and natural resource endowments, which threatens water and food security. In this paper, we used a multiregional input–output (MRIO) framework to assess the virtual water flows in Iran. We also estimate the internal and external water footprint of regions compared to their water availability. The results show that the northern part of the country, with no water scarcity, imported virtual water through the trade of goods and services, while severely water-scarce regions were net virtual water exporters. Iran had a net export of 1811 Mm3 per annum. While blue water resources (surface and groundwater) accounted for 92.2% of the national water footprint, 89.1% of total exports were related to the agriculture sector, contributing to only 10.5% of the national income. The results suggest that policy-makers should reconsider the current trade policy regarding food production liberalization in order to make Iran’s limited water resources available for producing industrial goods, which can contribute more to the economy.

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14

Tian, Guiliang, Xiaosheng Han, Chen Zhang, Jiaojiao Li, and Jining Liu. "Virtual Water Flows Embodied in International and Interprovincial Trade of Yellow River Basin: A Multiregional Input-Output Analysis." Sustainability 12, no. 3 (2020): 1251. http://dx.doi.org/10.3390/su12031251.

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With the imminent need of regional environmental protection and sustainable economic development, the concept of virtual water is widely used to solve the problem of regional water shortage. In this paper, nine provinces, namely Qinghai, Sichuan, Gansu, Ningxia, Inner Mongolia, Shaanxi, Shanxi, Henan, and Shandong in the Yellow River Basin (YRB), are taken as the research objects. Through the analysis of input-output tables of 30 provinces in China in 2012, the characteristics of virtual water trade in this region are estimated by using a multi-regional input-output (MRIO) model. The results show that: (1) The YRB had a net inflow of 17.387 billion m³ of virtual water in 2012. In interprovincial trade, other provinces outside the basin export 21.721 billion m³ of virtual water into the basin. In international trade, the basin exports 4334 million m³ of virtual water to the international market. (2) There are different virtual flow paths in the basin. Shanxi net inputs virtual water by interprovincial trade and international trade, while Gansu and Ningxia net output virtual water by interprovincial trade and international trade. The other six provinces all net output virtual water through international trade, and obtain the net input of virtual water from other provinces outside the basin. (3) From the industrial structure of the provinces in the basin, the provinces with a relatively developed economy, such as Shandong and Shanxi, mostly import virtual water in the agricultural sector, while relatively developing provinces, such as Gansu and Ningxia, mostly import virtual water in the industrial sector. In order to sustain the overall high-quality development of the YRB, we propose the virtual water trade method to quantify the net flow of virtual water in each province and suggest the compensation responsibility of the virtual water net inflow area, and the compensation need of the virtual water net outflow area, in order to achieve efficient water resources utilization.

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Hung, Cathy C. W., Shu-Chien Hsu, Stephen Pratt, Pi-Cheng Chen, Chia-Jung Lee, and Albert P. C. Chan. "Quantifying the Linkages and Leakages of Construction Activities in an Open Economy Using Multiregional Input–Output Analysis." Journal of Management in Engineering 35, no. 1 (2019): 04018054. http://dx.doi.org/10.1061/(asce)me.1943-5479.0000653.

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16

Liu, Yufei, Yuanchao Hu, Meirong Su, Fanxin Meng, Zhi Dang, and Guining Lu. "Multiregional input-output analysis for energy-water nexus: A case study of Pearl River Delta urban agglomeration." Journal of Cleaner Production 262 (July 2020): 121255. http://dx.doi.org/10.1016/j.jclepro.2020.121255.

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17

Almazán-Gómez, Miguel A., Rosa Duarte, Raquel Langarita, and Julio Sánchez-Chóliz. "Effects of water re-allocation in the Ebro river basin: A multiregional input-output and geographical analysis." Journal of Environmental Management 241 (July 2019): 645–57. http://dx.doi.org/10.1016/j.jenvman.2019.03.042.

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18

Treloar, Graham J. "Extracting Embodied Energy Paths from Input–Output Tables: Towards an Input–Output-based Hybrid Energy Analysis Method." Economic Systems Research 9, no. 4 (1997): 375–91. http://dx.doi.org/10.1080/09535319700000032.

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19

Monsalve, Fabio, Jorge Enrique Zafrilla, and María-Ángeles Cadarso. "Where have all the funds gone? Multiregional input-output analysis of the European Agricultural Fund for Rural Development." Ecological Economics 129 (September 2016): 62–71. http://dx.doi.org/10.1016/j.ecolecon.2016.06.006.

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20

Yang, Ling, and Michael L. Lahr. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007." Sustainability 11, no. 12 (2019): 3254. http://dx.doi.org/10.3390/su11123254.

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Using three official multiregional input–output tables and carbon emission data, we decompose the change in carbon emission for eight regions of China between 1997 and 2007. We do so according to the following seven partial effects: (i) Changes in energy end-use structure, (ii) effect of energy intensity, (iii) the added value’s share of gross output, (iv) changes in sub-industry structure, (v) changes in the substitution of import for intermediate inputs, and changes in (vi) structure and (vii) level of final demand. We find energy intensity contributes most to CO2 abatement throughout China, while other factors vary widely across the different regions. We suggest that governments consider regional disparity and CO2 flows when formulating policies; structural change with an eye toward energy-savings and general efficiency improvements, like better insulated buildings, are among measures we deem effective.

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21

Han, Zhong, Wenkai Wu, Yan Sun, and Yun Shi. "Calculation and Decomposition Analysis of Embodied Energy and Embodied Carbon Emissions in China’s Foreign Trade Based on Value-Added Trade." Journal of Advanced Computational Intelligence and Intelligent Informatics 25, no. 5 (2021): 521–29. http://dx.doi.org/10.20965/jaciii.2021.p0521.

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Under the new mode of labor division for global production, the method of calculating a country’s energy consumption and carbon emissions is based on a “production side” principle that disregards the embodied energy and carbon emissions caused by international trade. This method is unfair to China and other large, exporting countries. From the perspective of value-added trade, the multiregional input–output model based on the world input–output table and environmental account from the World Input–Output Database are used to measure the scale of China’s value-added trade; subsequently, the import and export net values of China’s foreigntraderelated embodied energy and carbon emissions are calculated. The results show that: (1) China’s value-added exports in 2009 amounted to US $1,045.37 billion, which constitutes 21% of China’s Gross Domestic Product (GDP) in that year. Nearly half of the value-added exports are to fulfill the final demand from North America and European Union countries; manufacturing and service are the main value-added export industries of China. (2) China has a relatively high unit coefficient for value-added energy consumption and carbon emissions, both representing a net export of embodied energy and embodied carbon emissions in foreign trade. In this regard, energy and mid-level technology manufacturing industries, such as coke, refined oil, and nuclear fuel processing, are the main exporters of embodied energy and embodied carbon.

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22

Jongdeepaisal, Cholapat, and Seigo Nasu. "Hybrid input-output analysis to evaluate economic impacts of biomass energy." International Journal of Green Energy 17, no. 14 (2020): 937–45. http://dx.doi.org/10.1080/15435075.2020.1814301.

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23

Du, Xiaochuan, and Kara M. Kockelman. "Tracking Transportation and Industrial Production across a Nation." Transportation Research Record: Journal of the Transportation Research Board 2269, no. 1 (2012): 99–109. http://dx.doi.org/10.3141/2269-12.

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With the Freight Analysis Framework as its primary data source, the RUBMRIO (random utility–based multiregional input–output) model is applied for U.S. transportation, production, and trade across more than 3,000 contiguous counties. Driven by foreign export demand, RUBMRIO uses input–output expenditure shares and a nested logit model for shipment origins and mode to simulate trade patterns of commodities among the counties. Network and export demand scenarios were examined for their effects on the distribution of trade flows and production. Changes in export demands for various commodities highlighted the importance of food and petroleum manufacturing sectors in production and labor-expenditure shifts. Transport cost reductions had greater effects on total production than did similar cost increases. The most affected U.S. counties were those centrally located. Changes in travel times along the I-40 corridor had ripple effects on trade patterns everywhere with the greatest changes observed around the corridor's midpoint.

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24

Liu, Qiaoling, and Qi Wang. "Sources and flows of China's virtual SO 2 emission transfers embodied in interprovincial trade: A multiregional input–output analysis." Journal of Cleaner Production 161 (September 2017): 735–47. http://dx.doi.org/10.1016/j.jclepro.2017.05.003.

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25

Lin, Bor-Ren, and Yen-Chun Liu. "Analysis of a Wide Voltage Hybrid Soft Switching Converter." Electronics 10, no. 4 (2021): 473. http://dx.doi.org/10.3390/electronics10040473.

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A hybrid PWM converter is proposed and investigated to realize the benefits of wide zero-voltage switching (ZVS) operation, wide voltage input operation, and low circulating current for direct current (DC) wind power conversion and solar PV power conversion applications. Compared to the drawbacks of high freewheeling current and hard switching operation of active devices at the lagging-leg of conventional full bridge PWM converter, a three-leg PWM converter is studied to have wide input-voltage operation (120–600 V). For low input-voltage condition (120–270 V), two-leg full bridge converter with lower transformer turns ratio is activated to control load voltage. For high input-voltage case (270–600 V), PWM converter with higher transformer turns ratio is operated to regulate load voltage. The LLC resonant converter is connecting to the lagging-leg switches in order to achieve wide load range of soft switching turn-on operation. The high conduction losses at the freewheeling state on conventional full bridge converter are overcome by connecting the output voltage of resonant converter to the output rectified terminal of full bridge converter. Hence, a 5:1 (600–120 V) hybrid converter is realized to have less circulating current loss, wide input-voltage operation and wide soft switching characteristics. An 800 W prototype is set up and tested to validate the converter effectiveness.

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26

Shan, Ning. "Imitation Study of Hybrid-Driven Five-Bar Mechanism Output Movement Characteristic Based on Kinematics Analysis." Applied Mechanics and Materials 44-47 (December 2010): 2728–32. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.2728.

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Hybrid-driven five-bar mechanism that combines the motions of two characteristically different motors can attain the flexibility output movement. Its structure is simply and it has low cost. Therefore it is widely used manufacture fields. In this paper, the kinematics mathematic model of plane closed-loop five-bar mechanism is established according to the model-transforming method and closing-vector method. And expressions of its output movement parameters are attained. The output movement characteristic of hybrid-driven five-bar mechanism is imitated and studied. The results show that hybrid-driven five-bar mechanism which its geometry parameters confirmed can accomplish diversiform tasks through changing its input movement rule. Output movement track of hybrid-driven five-bar mechanism changes along with the original position of two input components changing. It indicates hybrid-driven five-bar mechanism can accomplish many group tasks at one time.

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27

Soong, Ren-Chung. "ON THE HYBRID-DRIVEN LINKAGE MECHANISM WITH ONE INPUT CYCLE CORRESPONDING TO TWO OUTPUT CYCLES." Transactions of the Canadian Society for Mechanical Engineering 39, no. 3 (2015): 637–46. http://dx.doi.org/10.1139/tcsme-2015-0050.

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A hybrid-driven five-bar linkage mechanism with one input cycle corresponding to two output cycles is presented. The proposed linkage mechanism is driven by a constant-speed motor and a linear motor, respectively. The output link can generate two same required output cycles during a single input cycle, while the rotational input link rotates with a constant angular speed, and the linear input link follows a reciprocating motion along a specified linear guide fixed on the rotational input link. The configuration, displacement relationship between the input and output links, and conditions of mobility of this proposed mechanism were studied, and a kinematic analysis was performed. The selection of the instantaneous motion trajectory of the linear input link and an optimal dimensional synthesis are also described. An example is provided to verify the feasibility and effectiveness of this methodology.

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28

Jiang, Qiuhong, Tao Li, Zhichao Liu, Hongchao Zhang, and Keda Ren. "Life Cycle Assessment of an Engine with Input-Output Based Hybrid Analysis Method." Journal of Cleaner Production 78 (September 2014): 131–38. http://dx.doi.org/10.1016/j.jclepro.2014.04.003.

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29

Munoz Castillo, Raul, Kuishuang Feng, Laixiang Sun, et al. "The land-water nexus of biofuel production in Brazil: Analysis of synergies and trade-offs using a multiregional input-output model." Journal of Cleaner Production 214 (March 2019): 52–61. http://dx.doi.org/10.1016/j.jclepro.2018.12.264.

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30

Koks, Elco E., Lorenzo Carrera, Olaf Jonkeren, et al. "Regional disaster impact analysis: comparing input–output and computable general equilibrium models." Natural Hazards and Earth System Sciences 16, no. 8 (2016): 1911–24. http://dx.doi.org/10.5194/nhess-16-1911-2016.

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Abstract. A variety of models have been applied to assess the economic losses of disasters, of which the most common ones are input–output (IO) and computable general equilibrium (CGE) models. In addition, an increasing number of scholars have developed hybrid approaches: one that combines both or either of them in combination with noneconomic methods. While both IO and CGE models are widely used, they are mainly compared on theoretical grounds. Few studies have compared disaster impacts of different model types in a systematic way and for the same geographical area, using similar input data. Such a comparison is valuable from both a scientific and policy perspective as the magnitude and the spatial distribution of the estimated losses are born likely to vary with the chosen modelling approach (IO, CGE, or hybrid). Hence, regional disaster impact loss estimates resulting from a range of models facilitate better decisions and policy making. Therefore, this study analyses the economic consequences for a specific case study, using three regional disaster impact models: two hybrid IO models and a CGE model. The case study concerns two flood scenarios in the Po River basin in Italy. Modelling results indicate that the difference in estimated total (national) economic losses and the regional distribution of those losses may vary by up to a factor of 7 between the three models, depending on the type of recovery path. Total economic impact, comprising all Italian regions, is negative in all models though.

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Koks, E. E., L. Carrera, O. Jonkeren, et al. "Regional disaster impact analysis: comparing Input-Output and Computable General Equilibrium models." Natural Hazards and Earth System Sciences Discussions 3, no. 11 (2015): 7053–88. http://dx.doi.org/10.5194/nhessd-3-7053-2015.

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Abstract. A large variety of models has been developed to assess the economic losses of disasters, of which the most common ones are Input-Output (IO) and Computable General Equilibrium (CGE) models. In addition, an increasing numbers of scholars has developed hybrid approaches; one that combines both or either of them in combination with non-economic methods. While both IO and CGE models are widely used, they are mainly compared on theoretical grounds. Few studies have compared disaster impacts of different model types in a systematic way and for the same geographical area, using similar input data. Such a comparison is valuable from both a scientific and policy perspective as the magnitude and the spatial distribution of the estimated losses are likely to vary with the chosen modelling approach (IO, CGE, or hybrid). Hence, regional disaster impact loss estimates resulting from a range of models facilitates better decisions and policy making. Therefore, in this study we analyze one specific case study, using three regional models: two hybrid IO models and a regionally calibrated version of a global CGE model. The case study concerns two flood scenarios in the Po-river basin in Italy. Modelling results indicate that the difference in estimated total (national) economic losses and the regional distribution of those losses may vary by up to a factor of seven between the three models, depending on the type of recovery path. Total economic impact, comprising all Italian regions, is negative in all models though.

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32

Duchin, Faye, and Stephen H. Levine. "Combining Multiregional Input-Output Analysis with a World Trade Model for Evaluating Scenarios for Sustainable Use of Global Resources, Part II: Implementation." Journal of Industrial Ecology 20, no. 4 (2015): 783–91. http://dx.doi.org/10.1111/jiec.12302.

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33

KAGAWA, Shigemi, and Hajime INAMURA. "Decomposition Analysis of Energy Use Structure Based on a Hybrid Rectangular Input-Output Model." Doboku Gakkai Ronbunshu, no. 674 (2001): 17–33. http://dx.doi.org/10.2208/jscej.2001.674_17.

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34

Nakamura, Shinichiro. "Hybrid Input-Output Analysis as a Tool for Communication Among Scientists of Different Disciplines." Journal of Industrial Ecology 15, no. 5 (2011): 661–63. http://dx.doi.org/10.1111/j.1530-9290.2011.00383.x.

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35

Dietzenbacher, Erik, and Jesper Stage. "Mixing oil and water? Using hybrid input-output tables in a Structural decomposition analysis." Economic Systems Research 18, no. 1 (2006): 85–95. http://dx.doi.org/10.1080/09535310500440803.

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36

Hong, Jingke, Geoffrey Qiping Shen, Chao Mao, Zhengdao Li, and Kaijian Li. "Life-cycle energy analysis of prefabricated building components: an input–output-based hybrid model." Journal of Cleaner Production 112 (January 2016): 2198–207. http://dx.doi.org/10.1016/j.jclepro.2015.10.030.

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37

Dixit, Manish K., and Shashank Singh. "Embodied energy analysis of higher education buildings using an input-output-based hybrid method." Energy and Buildings 161 (February 2018): 41–54. http://dx.doi.org/10.1016/j.enbuild.2017.12.022.

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38

Dohare, Rajeev K., Mainuddin Siddique, and Gaurav Singhal. "Hybrid Data Acquisition and Analysis System for Flowing Medium Lasers." Defence Science Journal 70, no. 3 (2020): 285–91. http://dx.doi.org/10.14429/dsj.70.14902.

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The medium gas lasers involves in-situ generation of the lasing medium, hence are associated with several complex processes including mixing of pumping and lasing species, energy exchange between the species, heat generation during reaction and its influence on the flow domain to list a few. Thus, the characterisation of lasing medium, condition of operation of individual critical subsystems and corresponding phenomenon thereof is essential in real time. It is here that a customised data acquisition and analysis system (DAAS) plays a key role. The paper dwells on the realisation of a customised hybrid DAAS with a master-slave architecture, which is portable and provides remote system operation. The noteworthy aspects of the developed DAAS include capability to handle close to 150 channels [64 analog input, 64 digital output, 5 analog output and 17 digital input] simultaneously with varied sampling rates requirement ranging from 100 samples/s to 200 k samples/s, modularity in design enabling scalability. Further, the efficacy of the developed DAAS has been tested by conducting several real time experiments with an existing chemical oxygen iodine laser source with a mass flow rate of 2.3 moles.s-1 both from close ranges and at line of sight remote distances of up to 80 m and nearly 35 m with obstacles.

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Rodríguez, Diego, Rokas Mačiulaitis, Jan Okraska, and Tibor Šimko. "Hybrid analysis pipelines in the REANA reproducible analysis platform." EPJ Web of Conferences 245 (2020): 06041. http://dx.doi.org/10.1051/epjconf/202024506041.

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We introduce the feasibility of running hybrid analysis pipelines in the REANA reproducible analysis platform. The REANA platform allows researchers to specify declarative computational workflow steps describing the analysis process and to execute analysis workload on remote containerised compute clouds. We have designed an abstract job controller component permitting to execute different parts of the analysis workflow on different compute backends, such as HTCondor, Kubernetes and SLURM. We have prototyped the designed solution including the job execution, job monitoring, and input/output file staging mechanism between the various compute backends. We have tested the prototype using several particle physics model analyses. The present work introduces support for hybrid analysis workflows in the REANA reproducible analysis platform and paves the way towards studying underlying performance advantages and challenges associated with hybrid analysis patterns in complex particle physics data analyses.

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Yusop, A. M., R. Mohamed, A. Ayob, and A. Mohamed. "Dynamic Modeling and Simulation of a Thermoelectric-Solar Hybrid Energy System Using an Inverse Dynamic Analysis Input Shaper." Modelling and Simulation in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/376781.

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This study presents the behavioral model of thermal temperature and power generation of a thermoelectric-solar hybrid energy system exposed to dynamic transient sources. In the development of thermoelectric-solar hybrid energy system, studies have focused on the regulation of both systems separately. In practice, a separate control system affects hardware pricing. In this study, an inverse dynamic analysis shaping technique based on exponential function is applied to a solar array (SA) to stabilize output voltage before this technique is combined with a thermoelectric module (TEM). This method can be used to estimate the maximum power point of the hybrid system by initially shaping the input voltage of SA. The behavior of the overall system can be estimated by controlling the behavior of SA, such that SA can follow the output voltage of TEM as the time constant of TEM is greater than that of SA. Moreover, by employing a continuous and differentiable function, the acquired output behavior of the hybrid system can be attained. Data showing the model is obtained from current experiments with predicted values of temperature, internal resistance, and current attributes of TEM. The simulation results show that the proposed input shaper can be used to trigger the output voltage of SA to follow the TEM behavior under transient conditions.

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Duchin, Faye, Stephen H. Levine, and Anders Hammer Strømman. "Combining Multiregional Input-Output Analysis with a World Trade Model for Evaluating Scenarios for Sustainable Use of Global Resources, Part I: Conceptual Framework." Journal of Industrial Ecology 20, no. 4 (2015): 775–82. http://dx.doi.org/10.1111/jiec.12303.

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Rodríguez-Serrano, Irene, Natalia Caldés, Cristina De La Rúa, Yolanda Lechón, and Alberto Garrido. "Using the Framework for Integrated Sustainability Assessment (FISA) to expand the Multiregional Input–Output analysis to account for the three pillars of sustainability." Environment, Development and Sustainability 19, no. 5 (2016): 1981–97. http://dx.doi.org/10.1007/s10668-016-9839-y.

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Chandra, Moi Subhas, Rudrapati Ramesh, Pal Pradip Kumar, and Bandyopadhyay Asish. "Analysis of Impact Behaviour of TIG Weldment by Using Hybrid RSM and CSO." Strojnícky časopis - Journal of Mechanical Engineering 69, no. 4 (2019): 105–14. http://dx.doi.org/10.2478/scjme-2019-0046.

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AbstractTungsten inert gas (TIG) welding is a multi-input and multi-output variant process. The input process parameters and other factors of welding process interact in a complicated manner and influence the weld quality – directly or indirectly. Keeping this in mind, the present work has been planned to study the impact behaviour of TIG weldment through experiments, analysis and optimization. Experimental runs have been considered as per Box-Behnken design of response surface methodology (RSM). Based on the recorded data, the mathematical models have been developed to study the effect of process parameters on impact strength. ANOVA has been utilized to identify the influence of input process parameters on the response i.e. impact strength. RSM and cuckoo search optimization (CSO) algorithm have also been applied to optimize the impact strength.

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Vingwe, Edward, Edgar Towa, and Arne Remmen. "Danish Plastic Mass Flows Analysis." Sustainability 12, no. 22 (2020): 9639. http://dx.doi.org/10.3390/su12229639.

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In this paper, material flows and resource potentials for plastics at a national level in Denmark are mapped using an Environmentally Extended Multiregional Input-Output (EE-MRIO) database. EE-MRIO offers an operative improvement to current and prevalent methods for assessing the industrial and societal metabolism of resources, including plastics. The Exiobase is applied to map (1) the major sources, (2) calculate the total supply, (3) uses of plastics and waste generation, and (4) end of life pathways in order to indicate the potentials of plastics in the circular economy in Denmark with a focus on recycling. Furthermore, it elaborates how and why this method for performing Mass Flow Analysis (MFA) differs from mainstream assessments of material flows and from default uses of national statistical data. Overall, the results are that Denmark has a total supply of ≈551 kilotonnes (Kt) of plastics, out of which ≈522 Kt are used domestically and ≈168 Kt of plastic waste are generated annually. Out of the yearly amount of plastic waste, ≈50% is incinerated and 26% is recycled. These results indicate significant potentials for applying circular economy strategies and identify relevant sectors for closing the plastic loops. However, other initiatives are necessary, such as improvements in product design strategies, in the collection and sorting systems as well as in cross-sectoral collaboration.

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Kagawa, Shigemi, and Hajime Inamura. "A Numerical Analysis of Life Cycle Energy Based on a Hybrid Rectangular Input-Output Framework." INFRASTRUCTURE PLANNING REVIEW 17 (2000): 461–70. http://dx.doi.org/10.2208/journalip.17.461.

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Golpîra, Hêriş. "A Hybrid Clustering Method Using Balanced Scorecard and Data Envelopment Analysis." International Journal Of Innovation And Economic Development 1, no. 7 (2015): 15–25. http://dx.doi.org/10.18775/ijied.1849-7551-7020.2015.17.2002.

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This paper introduces a new hybrid clustering method using Data Envelopment Analysis (DEA) and Balanced Scorecard (BSC) methods. DEA cannot identify its’ input and output itself, and it is a major weakness of the DEA. In the proposed method, this gap is resolved by integrating DEA with BSC. Some decision-making units (DMUs) needed in DEA method, in compliance with some inputs and outputs is the major drawback of this integration. To deal with this disadvantage, the proposed method selects the most important strategic factors, attained from the BSC method. These data considered to be the input data for the DEA method to calculate relative closeness (RC) of each DMU to the ideal one. Plotting the screen diagram regarding RC index leads us to the final clustering method. Finally, computational results show the applicability and usefulness of the method.

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Thirumalai Kumaran, S., Marimuthu Uthayakumar, V. S. Kiran Kumar, A. Meenatchi Sundaram, and E. Milton Rajaselvam. "Parametric Optimization of AWJM in AA6351-SiC-B₄C Hybrid Composite Using Grey Relational Analysis." Applied Mechanics and Materials 766-767 (June 2015): 38–43. http://dx.doi.org/10.4028/www.scientific.net/amm.766-767.38.

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In the present study, the aluminum based hybrid composite with Silicon Carbide (SiC) and Boron Carbide (B4C) particles are prepared through the stir casting process and subjected to Abrasive Water Jet Machining (AWJM). The pressure, standoff distance and traverse speed are considered as the input process parameters and the output response such as Kerf angle, Material Removal Rate (MRR) and Surface Roughness (Ra) are measured and optimized using Grey Relational Analysis (GRA). The Analysis of Variance (ANOVA) and the F-test are performed to understand the contribution and the significant level of importance of each input parameter over the output response. The experimental result shows that the traverse speed and the standoff distance contributed more on affecting the performance, with a contribution of 62.14% and 18.43% respectively.

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Athikkal, Sivaprasad. "Development and Analysis of a Dual Input Buck-Boost DC-DC Converter Topology for Hybrid Energy Applications." International Journal on Electrical Engineering and Informatics 12, no. 4 (2020): 878–89. http://dx.doi.org/10.15676/ijeei.2020.12.4.11.

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In this Paper, a Dual Input buck - boost DC-DC (DIDC) converter is introduced for the integration of two input energy sources. The converter is capable of integrating energy sources which have different V-I characteristics. The output equation of the DIDC converter is derived from different working states using voltage - second principle. The voltage and current stress analysis of the converter are also carried out. The detailed study of the converter is conducted in the MATLAB/Simulink platform and the results are validated through laboratory experiments.

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Munksgaard, Jesper, Manfred Lenzen, Thomas C. Jensen, and Lise-Lotte Pade. "Transport Energy Embodied in Consumer Goods: A Hybrid Life-Cycle Analysis." Energy & Environment 16, no. 2 (2005): 283–301. http://dx.doi.org/10.1260/0958305053749480.

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This paper describes an analysis of the transport-related energy embodied in goods consumed by households. Our approach combines bottom-up with top-down modelling in a hybrid life-cycle analysis. The bottom-up part is a process analysis of international transport, examining foreign trade statistics, transportation modes, transport distances, and energy efficiencies. The top-down part is an input-output analysis identifying transport energy use in upstream production layers. To demonstrate the application of the model we carry out a three-step empirical analysis of goods consumed in Denmark in 1995, starting with highly aggregated commodity groups, and ending with “bread”.

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Xia, Yuehui, Ting Zhang, Miaomiao Yu, and Lingying Pan. "Regional Disparities and Transformation of Energy Consumption in China Based on a Hybrid Input-Output Analysis." Energies 13, no. 20 (2020): 5287. http://dx.doi.org/10.3390/en13205287.

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Different regions in China have different energy consumption characteristics and changing trends. This paper focuses on analyzing trends in energy consumption changes along the timeline for 30 regions in China. Using the Hybrid Input-Output Model, this paper decomposes energy consumption in 30 regions in 2007, 2012 and 2016 into energy embedded of final consumption expenditure, gross capital formation, inflow and outflow. We use these four dimensions as coordinates to draw a regional radar map. According to the changing characteristics of the radar map, 30 regions are divided into three groups. By analyzing the reasons for the changes in three regions, we draw the following conclusions. For regions where energy consumption is mainly inflow, the economically developed regions have to form a low energy consumption environment while achieving economic growth. The economically underdeveloped regions need to carry out energy conservation and emission reduction as well as ensuring the level of economic development. For some outflow regions with moderately economic development, it is necessary to balance the economic development and energy consumption control according to regional characteristics. For resource-rich regions which are in the process of transformation from agriculture to industrialization, they have to maintain the rapid development speed and strengthen their infrastructure with less energy consumption of buildings.

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