Novel anaerobic digestion and carbon dioxide emissions efficiency analysis of food waste treatment based on SBM-DEA model

Zhang, Jing; Du, Zilan; Fu, Li; Han, Yongming; Zheng, Wei; Yu, F. Richard; Chen, Huimin; Feng, Lu; Li, Yeqing; Ping, Weiying

doi:10.1016/j.jclepro.2021.129591

Cited by 19 publications

(3 citation statements)

References 28 publications

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“…Anaerobic digestion is the major source of methane emission based on estimation from eight Austrian WWTPs 5 ; and it also produces carbon dioxide to a less extent. 6 More recently, it has been recognised that much nitrous oxide is being released from WWTPs at significant rates and can contribute up to 83% of the emissions footprint of WWTPs expressed as CO 2 equivalents. 7 Both nitrifying and denitrifying microorganisms mediate the release and consumption of nitrous oxide through four known processes: (a) as a by-product of hydroxylamine (NH 2 OH) oxidation by nitrifiers; (b) through nitrifier denitrification during the reduction of nitric oxide (NO); (c) denitrification by heterotrophic microorganisms; and (d) codenitrification, where one nitrogen atom in N 2 O originates from hydroxylamine and the other from nitrite 8,9 (Fig.…”

Section: Pinpointing Sources and Regulatorsmentioning

confidence: 99%

Mitigating greenhouse gas emissions from waste treatment through microbiological innovation

2023

Microbiol. Aust.

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The emission of greenhouse gases (GHGs) from the treatment of municipal, agricultural and industrial waste occurs in virtually every city on our planet. This is due to various microbial activities at different stages of waste treatment. Traditional treatment methods have a significant environmental impact, producing methane, carbon dioxide and nitrous oxide emissions, in addition to demanding high energy input and having low treatment efficiencies. To address these issues, the Australian water and waste sectors are shifting towards the adoption of next-generation, carbon-neutral treatment options. Here I discuss our current knowledge gaps in mitigating GHG emissions from waste streams, with a focus on wastewater treatment plants. I highlight the application of real-time genomics to identify sources of GHG emissions, monitor mitigation efforts, assist process operation and guide plant operations. I also emphasise recent innovations of microbial processes that capture GHG from waste and upgrade them into higher value products. Ultimately, combined effort across disciplines is required to proactively mitigate the global threat of climate change.

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Section: Pinpointing Sources and Regulatorsmentioning

confidence: 99%

Mitigating greenhouse gas emissions from waste treatment through microbiological innovation

2023

Microbiol. Aust.

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“…At the same time, more and more scholars have started to introduce some undesirable outputs in the efficiency calculation process to further enhance the credibility of the efficiency values. Thus, the non-radial SBM-DEA method has become a sought-after scientific research approach among scholars (Cong et al, 2021;Lin et al, 2020;Wang et al, 2019;Zhang et al, 2021).…”

Section: Innovation Efficiencymentioning

confidence: 99%

Follow Suit: Imitative governance, resource inclination, and regional innovation efficiency

Zor

Chen

Ailimujiang

et al. 2023

REA

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Influenced by traditional notions of solidarity, when a province’s planning can be highly aligned with that of the central government, the province is perceived to be more collective and thus able to receive financial or resource favors from the central government. This consistency, as is often the case, reflected in doing the same thing as the central government. This situation may lead governors to ignore local economic performance and thus reduce regional innovation efficiency, as in the case of China’s Great Leap Forward. Likewise, it is possible to get better resources (energy or capital) by demonstrating managerial submissiveness, thus improving the regional innovation efficiency. Therefore, to verify the relationship between imitative governance and regional innovation efficiency, we collected relevant data from 31 major provincial administrative units in China, calculated the degree of imitative governance between provincial government work reports and central government work reports through text similarity, as well as utilized the SBM-DEA model to evaluate regional innovation efficiency. Meanwhile, we provide a new explanation of the phenomenon from the perspective of resource inclination. Finally, the empirical results show that imitative governance promotes local innovation efficiency and is moderated by resource inclination.

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“…Carbon emissions from intestinal peristalsis might be reduced by improving feeds and other methods [ 58 ]. With the development of urbanization and the improvement of people’s living standards, a large amount of food waste and decoration waste are continuously produced, and the carbon emissions generated by them are increasing rapidly [ 59 ]. Thiel et al (2021) proposed to reduce the carbon emissions caused by food waste through some feasible solutions such as recycling and moderate composting in a large hospital in New York City [ 60 ].…”

Section: Introductionmentioning

confidence: 99%

The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China

Zhang

Jiang

Jin

et al. 2022

IJERPH

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Global warming and world-wide climate change caused by increasing carbon emissions have attracted a widespread public attention, while anthropogenic activities account for most of these problems generated in the social economy. In order to comprehensively measure the levels of carbon emissions and carbon sinks in Anhui Province, the study adopted some specific carbon accounting methods to analyze and explore datasets from the following suggested five carbon emission sources of energy consumption, food consumption, cultivated land, ruminants and waste, and three carbon sink sources of forest, grassland and crops to compile the carbon emission inventory in Anhui Province. Based on the compiled carbon emission inventory, carbon emissions and carbon sink capacity were calculated from 2000 to 2019 in Anhui Province, China. Combined with ridge regression and scenario analysis, the STIRPAT model was used to evaluate and predict the regional carbon emission from 2020 to 2040 to explore the provincial low-carbon development pathways, and carbon emissions of various industrial sectors were systematically compared and analyzed. Results showed that carbon emissions increased rapidly from 2000 to 2019 and regional energy consumption was the primary source of carbon emissions in Anhui Province. There were significant differences found in the increasing carbon emissions among various industries. The consumption proportion of coal in the provincial energy consumption continued to decline, while the consumption of oil and electricity proceeded to increase. Furthermore, there were significant differences among different urban and rural energy structures, and the carbon emissions from waste incineration were increasing. Additionally, there is an inverted “U”-shape curve of correlation between carbon emission and economic development in line with the environmental Kuznets curve, whereas it indicated a “positive U”-shaped curve of correlation between carbon emission and urbanization rate. The local government should strengthen environmental governance, actively promote industrial transformation, and increase the proportion of clean energy in the energy production and consumption structures in Anhui Province. These also suggested a great potential of emission reduction with carbon sink in Anhui Province.

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Novel anaerobic digestion and carbon dioxide emissions efficiency analysis of food waste treatment based on SBM-DEA model

Cited by 19 publications

References 28 publications

Mitigating greenhouse gas emissions from waste treatment through microbiological innovation

Mitigating greenhouse gas emissions from waste treatment through microbiological innovation

Follow Suit: Imitative governance, resource inclination, and regional innovation efficiency

The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China

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