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废食用油基第二代生物柴油生产工艺生命周期评价

Life cycle assessment of the production process of second-generation biodiesel based on waste cooking oil

  • 摘要: 为探究废食用油(waste cooking oil,WCO)两段式工艺(先生成脂肪酸甲酯后生成烷烃)在中国落地建厂的可行性,该研究基于中国本土数据天工数据库v0.2.0,通过生命周期评价软件openLCA 2.4.0进行工艺的环境评估研究。通过WCO收集与运输、预酯化/酯交换、加氢脱氧/临氢异构3个阶段模拟WCO基第二代生物柴油生产的整个生命周期。研究结果表明:WCO基第二代生物柴油生产工艺的全球变暖(CO2排放量)、细颗粒物形成(PM2.5排放量)和陆地酸化(SO2排放量)3个中间点指标分别为506.78 kg/t(10.93 kg/GJ)、0.04 kg/t(8.63×10−4 kg/GJ)和0.14 kg/t(3.02×10−3 kg/GJ),加氢脱氧/临氢异构阶段分别占整个工艺相应总值的55.73%、56.69%和58.00%。1 t WCO基第二代生物柴油生产工艺对人类健康(伤残调整生命年(disability-adjusted life year,DALY))、生态系统(物种年损失值(loss of species in a year,species.yr))和资源(CNY)的终点指标数值分别为4.97×10−4、-1.75×10−5 和-12.39。与化石柴油相比,该工艺生产的第二代生物柴油具有很好的环境优势。后续工艺的改良措施需要关注降低整个工艺中涉及到的含氯和溴的气体排放,以及温室气体的排放。

     

    Abstract: Waste cooking oil (WCO) is one of the household products of edible oil after cooking at elevated temperatures. A two-stage disposal strategy has been established to firstly convert into fatty acid methyl esters, and then into alkanes. This study aims to explore the feasibility of the two-stage WCO disposal process in China. A series of environmental tests was then carried out using the life cycle assessment software openLCA 2.4.0. The data was also collected from the Tian Gong database v0.2.0. Three stages were finally selected to simulate the entire life cycle of the WCO during second-generation biodiesel production, including the WCO collection and transportation, pre-esterification/esterification, as well as the hydrogenation deoxygenation/hydroisomerization. The results indicate that the three midpoint indicators of the global warming (CO2 emissions), fine particulate matter formation (PM2.5 emissions), and terrestrial acidification (SO2 emissions) were 506.78 kg/t (10.93 kg/GJ), 0.04 kg/t (8.63×10-4 kg/GJ), and 0.14 kg/t (3.02×10-3 kg/GJ), respectively, for the second-generation biodiesel production using WCO. The lower CO2 emissions were achieved in a significant environmental advantage, compared with the fossil diesel (about 650 kg/t), coal produced in Chongqing (550 kg/t), jatropha-based biodiesel (3.17 t/t), and loquat seed-based biodiesel (1.129 t/t). The hydrogenation deoxygenation/hydrogenation isomerization accounted for 55.73%, 56.69%, and 58.00% of the total values of the indicators in the entire process, respectively. In the hydrogenation deoxygenation/hydrogenation isomerization, the hydrogenation deoxygenation reaction was carried out at 350℃ and 5 MPa, while the hydroisomerization reaction was performed at 300℃ and 1.5 MPa. The energy consumption was high under the conditions of high temperature and high pressure. Additionally, there was a substantially high hydrogen consumption during the reaction. As a result, the emissions accounted for a relatively high proportion at this stage. After normalization with World (2010) H, the top three categories of the impact assessment were the stratospheric ozone depletion, global warming, and terrestrial acidification, respectively, for the WCO collection and transportation, pre-esterification/esterification, as well as the hydrogenation deoxygenation/hydroisomerization stages. The endpoint indicators for human health (disability-adjusted life year, DALY), ecosystem (loss of species in a year, species. yr), and resource (CNY) were 4.97×10-4, -1.75×10-5, and -12.39, respectively, to produce 1 t of the WCO-based second-generation biodiesel. After normalization and weighting with World (2010) H/A, the top three impact categories were the stratospheric ozone depletion, global climate change-human health, and global warming-freshwater ecosystems, with the single scores of 34.11, 25.38, and 25.37, respectively, to produce 1 t of the second-generation biodiesel from WCO. The Monte Carlo method was also used to determine the global warming potential of the WCO-based second-generation biodiesel. The average value was 507.50 kg/t with a standard deviation of 50.74 kg/t, indicating a moderate variability. There was also a wide range from 424.48 kg/t (5th percentile) to 590.67 kg/t (95th percentile). A variety of influencing factors were then attributed to global warming, such as the great variations in greenhouse gas emissions. Therefore, the data can be captured from the pilot production plants at the hydrogenation deoxygenation/hydroisomerization stage, in order to significantly reduce the uncertainty in the future. In addition, much emphasis can also be placed on the emissions of chlorine and bromine gases, greenhouse gas emissions, and the use of hydrogen throughout the process.

     

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