Prognostic Assessment of the Performance Parameters for the Industrial Diesel Engines Operated with Microalgae Oil

Sergejus Lebedevas and Laurencas Raslavičius
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Sergejus Lebedevas: Marine Engineering Department, Faculty of Marine Technology and Natural Sciences, Klaipeda University, LT-91225 Klaipėda, Lithuania
Laurencas Raslavičius: Marine Engineering Department, Faculty of Marine Technology and Natural Sciences, Klaipeda University, LT-91225 Klaipėda, Lithuania

Sustainability, 2021, vol. 13, issue 11, 1-23

Abstract: A study conducted on the high-speed diesel engine (bore/stroke: 79.5/95.5 mm; 66 kW) running with microalgae oil (MAO100) and diesel fuel (D100) showed that, based on Wibe parameters ( m and φ z ), the difference in numerical values of combustion characteristics was ~10% and, in turn, resulted in close energy efficiency indicators ( η i ) for both fuels and the possibility to enhance the NO x -smoke opacity trade-off. A comparative analysis by mathematical modeling of energy and traction characteristics for the universal multi-purpose diesel engine CAT 3512B HB-SC (1200 kW, 1800 min −1 ) confirmed the earlier assumption: at the regimes of external speed characteristics, the difference in P me and η i for MAO100 and D100 did not exceeded 0.7–2.0% and 2–4%, respectively. With the refinement and development of the interim concept, the model led to the prognostic evaluation of the suitability of MAO100 as fuel for the FPT Industrial Cursor 13 engine (353 kW, 6-cylinders, common-rail) family. For the selected value of the indicated efficiency η i = 0.48–0.49, two different combinations of φ z and m parameters ( φ z = 60–70 degCA, m = 0.5 and φ z = 60 degCA, m = 1) may be practically realized to achieve the desirable level of maximum combustion pressure P max = 130–150 bar (at α ~2.0). When switching from diesel to MAO100, it is expected that the η i will drop by 2–3%, however, an existing reserve in P max that comprises 5–7% will open up room for further optimization of energy efficiency and emission indicators.

Keywords: transport decarbonization; hard-to-decarbonized modes; diesel engine family; heavy duty engines; microalgae oil; prognostic assessment; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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