用于柴油发动机的新型生物燃料混合物:使用 C. cohnii 微藻类生物柴油和藻类衍生的可再生柴油混合物优化发动机性能和排放

IF 7.1 Q1 ENERGY & FUELS
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引用次数: 0

摘要

化石柴油是一种重要的全球燃料;然而,由于环境问题和资源稀缺,有必要使用替代燃料。第三代微藻生物柴油(MB)尽管碳中和,但氮氧化物(NOx)排放量较高,发动机性能较差。可再生柴油(RD),又称加氢处理植物油(HVO),可以减少这些问题。本研究采用了一个准多维多区燃烧模型,以研究柴油、C. cohnii MB 和藻类衍生 RD 的不同燃料混合物如何影响压燃式 (CI) 发动机的性能、燃烧和排放。研究使用了不同发动机负荷下的 2000 rpm 发动机布置,并通过实验测试发动机布置验证了计算分析。该研究旨在探索可持续生物燃料在 CI 发动机中的应用潜力。与 D100 相比,D70MB30(70 Vol% 柴油和 30 Vol% 甲基溴)混合燃料会导致更高的点火延迟期(IDP),同时降低峰值气缸压力(PCP)和峰值热释放率(PHRR);然而,当在柴油-甲基溴混合燃料中添加 RD 时,会降低 IDP,增加 PCP 和 PHRR。D70MB30 混合燃料的制动比油耗(BSFC)增加了 5.28-8.9%,而制动热效率(BTE)降低了 0.98-4.27%。然而,甲基溴混合燃料中的 RD 可使 BSFC 降低 1.57-3.41%,并略微提高 BTE,从而提高燃油经济性和效率。与纯柴油相比,D70MB30 混合燃料的二氧化碳(CO2)排放量和氮氧化物(NOx)排放量更高,而颗粒物(PM)和烟雾排放量却更低,这是因为其固有氧含量高。与此相反,使用甲基溴混合燃料的 RD 减少了二氧化碳和氮氧化物的具体排放量,但由于氮氧化物和 PM 的权衡,增加了 PM 和烟雾的排放量。最佳结果出现在满负荷和 D70MB15RD15(70% 柴油、15% 甲基溴和 15%RD)混合燃料中。与 D70MB30 混合燃料相比,D70MB15RD15 的 BSFC、比 CO2 和 NOx 分别降低了 2.15%、1% 和 8.37%,同时增加了 100 % 负载时的 PM 排放量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Novel biofuel blends for diesel engines: Optimizing engine performance and emissions with C. cohnii microalgae biodiesel and algae-derived renewable diesel blends

Novel biofuel blends for diesel engines: Optimizing engine performance and emissions with C. cohnii microalgae biodiesel and algae-derived renewable diesel blends

Fossil diesel is a significant global fuel; however, environmental concerns and resource scarcity necessitate alternative fuels. Third-generation microalgae biodiesel (MB), despite its carbon neutrality, leads to higher oxides of nitrogen (NOx) emissions and poor engine performance. Renewable diesel (RD), also known as hydrotreated vegetable oil (HVO), could reduce these issues. A quasi-dimensional multi-zone combustion model is employed in this study to look into how different fuel blends of diesel, C. cohnii MB, and algae-derived RD affect the performance, combustion, and emissions of a compression ignition (CI) engine. The study uses a 2000 rpm engine arrangement with different engine loads, and validates the computational analysis with an experimental test engine arrangement. The study aims to explore the potential of sustainable biofuels in CI engines. D70MB30 (70 vol% diesel, and 30 vol% MB) fuel blend leads to a higher ignition delay period (IDP) while lowering peak cylinder pressure (PCP) and peak heat release rate (PHRR) compared to D100; however, when RD is added to diesel-MB fuel blends, it reduces IDP and increases PCP and PHRR. Brake specific fuel consumption (BSFC) for the D70MB30 blend rises by 5.28–8.9 %, while brake thermal efficiency (BTE) reduces by 0.98–4.27 %. However, RD in MB blends reduces BSFC by 1.57–3.41 % and marginally enhances BTE, resulting in greater fuel economy and efficiency. D70MB30 fuel blend results in higher specific carbon dioxide (CO2) emissions and oxides of nitrogen (NOx) emissions while lowering particulate matter (PM) and smoke emissions compared to neat diesel due to its high intrinsic oxygen content. In contrast, RD with the MB blend reduces specific CO2 and NOx emissions; however, it increases PM and smoke emissions due to the NOx-PM trade-off. The optimum results occur with a full load and D70MB15RD15 (70 vol% diesel, 15 vol% MB, and 15 vol% RD) fuel blend. Compared to the D70MB30 blend, D70MB15RD15 reduces BSFC, specific CO2, and NOx by 2.15 %, ∼1%, and 8.37 %, respectively, while increasing PM emissions at 100 % load.

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来源期刊
CiteScore
8.80
自引率
3.20%
发文量
180
审稿时长
58 days
期刊介绍: Energy Conversion and Management: X is the open access extension of the reputable journal Energy Conversion and Management, serving as a platform for interdisciplinary research on a wide array of critical energy subjects. The journal is dedicated to publishing original contributions and in-depth technical review articles that present groundbreaking research on topics spanning energy generation, utilization, conversion, storage, transmission, conservation, management, and sustainability. The scope of Energy Conversion and Management: X encompasses various forms of energy, including mechanical, thermal, nuclear, chemical, electromagnetic, magnetic, and electric energy. It addresses all known energy resources, highlighting both conventional sources like fossil fuels and nuclear power, as well as renewable resources such as solar, biomass, hydro, wind, geothermal, and ocean energy.
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