Dynamic integrated assessment of bioenergy technologies for energy production utilizing agricultural residues: An input–output approach

Song, Junnian; Yang, Wei; Higano, Yoshiro; Wang, Xian’en

doi:10.1016/j.apenergy.2015.08.030

Cited by 27 publications

(12 citation statements)

References 28 publications

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“…In the literature, process-based life-cycle assessment (LCA), economic input-output based LCA, and hybrid LCA are extensively used to quantify the environmental impacts of products or processes (Bush et al 2014;Onat et al 2015a, b;Suh et al 2004). In fact, when focusing on the holistic environmental burdens of large-scaled systems such as industrial sectors, Input-Output (I-O) based sustainability assessment models are more comprehensive approaches, which provide a macro-level analysis (Chen and Chen, 2015;Liu et al 2012;Onat et al 2014a;Song et al 2015). The necessity of using system-based I-O models arises from the fact that process-based models involve the limited number of processes and inclusion or exclusion of processes is decided on the basis of subjective choices, which create the so-called system boundary problem (Onat et al 2016a;Suh et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Energy-climate-manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries

et al. 2016

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The main objectives of this research are to improve our understanding of energy-climate-manufacturing nexus within the context of regional and global manufacturing supply chains as well as show the significance of full coverage of entire supply chain tiers in order to prevent significant underestimations, which might lead to invalid policy conclusions. With this motivation, a multi-region input-output (MRIO) sustainability assessment model is developed by using the World Input-Output Database, which is a dynamic MRIO framework on the world's 40 largest economies covering 1440 economic sectors. The method presented in this study is the first environmentally-extended MRIO model that harmonizes energy and carbon footprint accounts for Turkish manufacturing sectors and a global tradelinked carbon and energy footprint analysis of Turkish manufacturing sectors is performed as a case study. The results were presented by distinguishing the contributions of five common supply chain phases such as upstream suppliers, onsite manufacturing, transportation, wholesale, and retail trade. The findings showed that onsite and upstream supply chains are found to have over 90% of total energy use and carbon footprint for all industrial sectors. Electricity, Gas and Water Supply sector was usually found to be as the main contributor to global climate change, and Coke, Refined Petroleum, and Nuclear Fuel sector is the main driver of energy use in upstream supply chains. Overall, the largest portion of total carbon emissions of Turkish manufacturing industries was found in Turkey's regional boundary that ranged between 40 to 60% of total carbon emissions. In 2009, China, United States, and Rest-of-the-World's contribution is found to be more than 50% of total energy use of Turkish manufacturing. The authors envision that a global MRIO framework can provide a vital guidance for policy makers to analyze the role of global manufacturing supply chains and prevent significant underestimations due to inclusion of limited number of tiers for sustainable supply chain management research.

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Section: Introductionmentioning

confidence: 99%

Energy-climate-manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries

et al. 2016

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“…In the field of energy analysis, the DHI/O model was introduced by Rhoten [14]. Researchers have applied DHI/O models in predicting the total energy consumption or energy consumption of different energy sources (such as coal, oil, gas, and non-fossil electricity) under multiple optimization objectives [15][16][17][18]. The DHI/O models have also been adopted for analyzing the development of renewable energy [19] and bioenergy [20].…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing Carbon Emissions Embodied in Construction Services: A Dynamic Hybrid Input–Output Model with Structural Decomposition Analysis

Zhang

et al. 2019

Energies

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The energy embodied in construction services consumed by industrial sectors used to increase capacities has led to massive energy-related carbon emissions (ERCE). From the perspective of consumer responsibility, ERCE embodied in construction services is driven by technological changes and the increases in final demand of various sectors, including final consumption, fixed assets investment, and net export. However, little attention has been paid to decomposing sectoral responsibilities from this perspective. To fill this research gap, we propose a dynamic hybrid input–output model combined with structural decomposition analysis (DHI/O-SDA model). We introduce DHI/O modeling into the estimation of ERCE embodied in construction services from the perspective of consumer responsibility and introduce SDA into DHI/O models to improve the resolution of the estimate. Taking China as a case study, we verified the DHI/O-SDA model and present the bilateral relationships among sectoral responsibilities for ERCE embodied in construction services. A major finding is that the “Other Tertiary Industry” sector is most responsible for ERCE embodied in construction services and strongly influences other sectors. Therefore, controlling the final demand increase of the service industry will be the most effective policy to reduce the ERCE embodied in construction services.

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“…Among the 31 provincial regions in China, the reduction potentials varied from 0.001 to 8.9 Mt CO 2 -eq for GHG and from 0.013 to 109.7 kt for PM 2.5 . This study provided useful information to policy makers, researchers and industry managers who work on environmental control and corn stover management.reported that the available agricultural residue as feedstock for bioenergy production could amount to 55.2 Mt, among which 41.1% could be utilized for bioethanol production by 2025 in China [17].China has been the largest GHG contributor in the world since 2005 and emitted about 29% of the worldwide GHG in 2015 [18]. The PM 2.5 concentrations in 310 out of 362 cities in China exceeded critical levels of 35 µg m −3 in the first quarter of 2016 [19].…”

mentioning

confidence: 98%

“…reported that the available agricultural residue as feedstock for bioenergy production could amount to 55.2 Mt, among which 41.1% could be utilized for bioethanol production by 2025 in China [17].…”

mentioning

confidence: 99%

Potential Reductions in Greenhouse Gas and Fine Particulate Matter Emissions Using Corn Stover for Ethanol Production in China

Yang

Bao

et al. 2019

Energies

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Corn stover is an abundant raw material that can be used to produce ethanol and reduce air pollution. This paper studied the potential reductions in greenhouse gas (GHG) and fine particulate matter (PM 2.5 ) emissions across China if corn stover was used for ethanol production. Field surveys in nine provincial regions were conducted. Life-cycle assessment (LCA) was used to assess the GHG and PM 2.5 emissions from a corn stover based ethanol system. The LCA system boundaries included several process stages from corn planting to ethanol fuel used in vehicles. Corn stover geographical distributions and emission reduction factors were combined. Results showed that the total surplus quantity of corn stover in China was 86.2 million metric tons (Mt) in 2015. It was sufficient to reach the ethanol production target set by the Chinese government. In the scenario that 38.5 Mt or 44.6% of corn stover surplus were used for ethanol production, the total potential emission reductions were 36.5 Mt CO 2 -eq GHG and 450.9 kt PM 2.5 . Among the 31 provincial regions in China, the reduction potentials varied from 0.001 to 8.9 Mt CO 2 -eq for GHG and from 0.013 to 109.7 kt for PM 2.5 . This study provided useful information to policy makers, researchers and industry managers who work on environmental control and corn stover management.reported that the available agricultural residue as feedstock for bioenergy production could amount to 55.2 Mt, among which 41.1% could be utilized for bioethanol production by 2025 in China [17].China has been the largest GHG contributor in the world since 2005 and emitted about 29% of the worldwide GHG in 2015 [18]. The PM 2.5 concentrations in 310 out of 362 cities in China exceeded critical levels of 35 µg m −3 in the first quarter of 2016 [19]. Moreover, the gasoline and diesel consumptions from 2003 to 2014 increased by 58% and 51% in China, respectively [20]. The fuel consumption in transportation was identified as a major source of CO 2 and PM 2.5 [21][22][23]. Additionally, the in-field burning of crop residue significantly increased GHG and PM 2.5 emissions, accounting for 107 Mt of CO 2 emissions annually from 1999 to 2008 [24] and contributing 12% of the annual mean PM 2.5 emissions in Beijing, China [25].Previous studies [13,26-28] mainly focused on life-cycle GHG emissions mitigation of corn stover based ethanol production by comparing it with gasoline production. For instance, developing commercial-scale corn stover based ethanol plants could displace fossil fuels and reduce GHG emissions [26]. Spatari et al. [27] showed that the GHG emissions were 65% lower in 2010 for a light-duty vehicle fueled by E85 (i.e., a blended fuel comprising 15% gasoline and 85% ethanol derived from corn stover) compared with petroleum fuel. Ethanol from corn stover could reduce life-cycle GHG emissions by 90-103% relative to gasoline in the United States [28]. Recently, Zhao, et al. [13] reported that the use of pure fuel ethanol produced from corn stover in China could lead to a GHG emission reductions ...

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Dynamic integrated assessment of bioenergy technologies for energy production utilizing agricultural residues: An input–output approach

Cited by 27 publications

References 28 publications

Energy-climate-manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries

Energy-climate-manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries

Analyzing Carbon Emissions Embodied in Construction Services: A Dynamic Hybrid Input–Output Model with Structural Decomposition Analysis

Potential Reductions in Greenhouse Gas and Fine Particulate Matter Emissions Using Corn Stover for Ethanol Production in China

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