Evaluation of P. moriformis oil and its blends with diesel fuel as promising contributors to transportation energy

Raslavičius, Laurencas; Felneris, Mantas; Pukalskas, Saugirdas; Rimkus, Alfredas; Melaika, Mindaugas

doi:10.1016/j.energy.2019.116196

Cited by 4 publications

(15 citation statements)

References 15 publications

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“…The methodological part discusses first the 'pilot' study as the first step of the entire research trial, and then the 'main study' [21]. The purpose of the pilot study was to extract a number of parameters (factors) from an 1Z engine map of microalgae oil use coupled with the assessment of smoke opacity and CO 2 levels obtained at various loads and an in depth analysis of the thermodynamic engine cycle simulation.…”

Section: Fuels and Test Enginesmentioning

confidence: 99%

“…Conventional diesel fuel (D100) not containing a required 5% biodiesel additive was used as a reference fuel to compare and to contrast the engine indicators obtained for both fuels (Table 2). During the 'pilot' study, the sensitivity of microalgae oil to commercial diesel fuel, using the primary and derivative parameters of the bench test engine (type-1Z) that were published by one of the co-authors in 2019 [21], were assessed to build a data matrix, whose rows represent different repetitions of an experiment, and whose columns represent different kinds of data taken for each repetition. A more detailed description of the Obtaining complex input parameters set (primary and derrivative) from 1Z engine performance on microalgae oil + AVL boost modelling of in-cylinder processes from a study published by one of co-authors in 2019 [21].…”

Section: Fuels and Test Enginesmentioning

confidence: 99%

“…With refinement and development of the interim concept, the model led to prognostic evaluation of suitability of microalgae oil as fuel for FPT Industrial Cursor 13 engine family During the 'pilot' study, the sensitivity of microalgae oil to commercial diesel fuel, using the primary and derivative parameters of the bench test engine (type-1Z) that were published by one of the co-authors in 2019 [21], were assessed to build a data matrix, whose rows represent different repetitions of an experiment, and whose columns represent different kinds of data taken for each repetition. A more detailed description of the specific test procedures, methodologies applied, technical characteristics of the measurement equipment, and uncertainties of the measured parameters is presented in Ref.…”

Section: Fuels and Test Enginesmentioning

confidence: 99%

“…A more detailed description of the specific test procedures, methodologies applied, technical characteristics of the measurement equipment, and uncertainties of the measured parameters is presented in Ref. [21]. The derivative parameters necessary to build a calculation matrix are as follows: P e , p me , BSFC, net efficiency, mass air flow rate, exhaust gas temperature, air excess ratio, etc.…”

Section: Fuels and Test Enginesmentioning

confidence: 99%

“…The difference between the NO x levels obtained at +2 degCA and +16 degCA was 14 g/kWh. The results of a pilot study revealed that for the particular type of test engine with gradually retarded degrees of SOI (start of injection), MAO100 is in many cases comparable to most of the critical engine parameters and indicators, compared with D100 [21]. For some of the parameters (air mass flow, pressure provided by the turbocharger, air-fuel equivalence ratio, the level of nitrogen oxides, and slightly reduced oxygen content in the exhaust gases), depending on the load applied, the tests indicated a very small difference in measured values, that fell within the measurement error.…”

Section: Selection Of Strategies To Improve No X -Smoke Opacity Trade-offmentioning

confidence: 99%

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

Lebedevas

Raslavičius

2021

Sustainability

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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 φz), the difference in numerical values of combustion characteristics was ~10% and, in turn, resulted in close energy efficiency indicators (ηi) for both fuels and the possibility to enhance the NOx-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 Pme and ηi 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 ηi = 0.48–0.49, two different combinations of φz and m parameters (φz = 60–70 degCA, m = 0.5 and φz = 60 degCA, m = 1) may be practically realized to achieve the desirable level of maximum combustion pressure Pmax = 130–150 bar (at α~2.0). When switching from diesel to MAO100, it is expected that the ηi will drop by 2–3%, however, an existing reserve in Pmax that comprises 5–7% will open up room for further optimization of energy efficiency and emission indicators.

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Section: Fuels and Test Enginesmentioning

confidence: 99%

Section: Fuels and Test Enginesmentioning

confidence: 99%

Section: Fuels and Test Enginesmentioning

confidence: 99%

Section: Fuels and Test Enginesmentioning

confidence: 99%

Section: Selection Of Strategies To Improve No X -Smoke Opacity Trade-offmentioning

confidence: 99%

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

Lebedevas

Raslavičius

2021

Sustainability

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AVL Boost: a powerful tool for research and education

Bellér

Árpád

Kiss

et al. 2021

J. Phys.: Conf. Ser.

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AVL Boost is a fully integrated simulation software in the field of internal combustion engines. At the University of Debrecen, it has been roughly a year since the launch of the Partnership Program with AVL Advanced Simulation Technologies. Although 2020 made us face unusual and unexpected challenges, the use of Boost has begun both in research projects and in engineering courses. The software provides a wide range of applications in engine performance, tailpipe emissions and acoustics. It is inherently appropriate only for internal combustion engines including both spark-ignition and compression-ignition engines. However, with a link to other AVL software packages (e.g. Cruise or Fire), hybrid vehicles can be studied too. Boost enables the user to perform a solely computational approach, as well as the comparison of experimental findings with simulation results. The software offers a high level of flexibility of the fuel type and fuel composition, including the possibility to use both conventional and alternative fuels. Our paper provides an overview of the software including a general introduction, a review of selected publications from recent years and a discussion of the application of Boost, in engineering courses and student projects.

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Assessment of Microalgae Oil as a Carbon-Neutral Transport Fuel: Engine Performance, Energy Balance Changes, and Exhaust Gas Emissions

et al. 2021

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Notwithstanding the substantial progress acheved since 2010 in the attempts to realize the potential of microalgae biofuels in the transportation sector, the prospects for commercial production of CO2-neutral biofuels are more challenging today than they were in 2010. Pure P. moriformis microalgae oil was subjected to unmodified engine performance testing as a less investigated type of fuel. Conventional diesel was used as a reference fuel to compare and to contrast the energy balances of an engine as well as to juxtapose performance and emission indicators for both unary fuels. According to the methodology applied, the variation of BSFC rates, BTE, smoke opacity, NOx, HC, CO2, O2, and exhaust gas temperature on three different loads were established during compression ignition (CI) engine operation at EGR Off, 25% EGR, 18% EGR and 9% EGR modes, respectively. Simulation model (AVL Boost/BURN) was employed to assess the in-cylinder process parameters (pressure, pressure rise, temperature, temperature rise, ROHR, and MFB). Furthermore, the first law energy balances for an engine running on each of the test fuels were built up to provide useful insights about the peculiarities of energy conversion. Not depending on EGR mode applied, the CI engine running on microalgae oil was responsible for slightly higher BTE values, drastically reduced smoke opacity, higher CO2 values, and smaller O2 concentration, marginally increased NOx levels and lower total energy losses (in %) if compared to the performance with diesel fuel.

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Evaluation of P. moriformis oil and its blends with diesel fuel as promising contributors to transportation energy

Cited by 4 publications

References 15 publications

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

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

AVL Boost: a powerful tool for research and education

Assessment of Microalgae Oil as a Carbon-Neutral Transport Fuel: Engine Performance, Energy Balance Changes, and Exhaust Gas Emissions

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