TY - JOUR AU - Virt, Márton AU - Zöldy, Máté TI - Enhancing the Viability of a Promising E-Fuel: Oxymethylene Ether–Decanol Mixtures JF - ENERGIES J2 - ENERGIES VL - 17 PY - 2024 IS - 6 PG - 17 SN - 1996-1073 DO - 10.3390/en17061348 UR - https://m2.mtmt.hu/api/publication/34734773 ID - 34734773 N1 - Export Date: 5 April 2024 Correspondence Address: Zöldy, M.; Department of Automotive Technologies, Műegyetem rkp. 3., Hungary; email: zoldy.mate@kjk.bme.hu AB - Achieving sustainable mobility is a crucial factor in maintaining long-term economic growth without adverse effects on human health and the environment. E-fuels, such as the promising oxymethylene ether (OME), can contribute to sustainable road transport. However, this compound does not meet the requirements of EN590; thus, it is unsuitable for unmodified diesel engines. This work aims to improve the applicability of OME by blending it with n-decanol, which can also be produced sustainably. Combustion and emissions were investigated in a medium-duty commercial diesel engine with different binary and ternary mixtures of oxymethylene ether, n-decanol, and B7 diesel. Laboratory analysis of six key mixture parameters revealed that the formulated blends met the EN590 requirements, with the exception of that of density. The results demonstrated that the created mixtures, including one without any diesel fuel, can be efficiently utilized in unmodified diesel engines. OME’s beneficial effects on combustion and emission were preserved while its viability was improved; a maximum increase of 7.6% in brake thermal efficiency was observed, alongside a potential decrease of nearly 70% in PM emissions at unaltered NOx levels. LA - English DB - MTMT ER - TY - JOUR AU - Virt, Márton AU - Zöldy, Máté TI - Cost Efficient Training Method for Artificial Neural Networks based on Engine Measurements JF - ACTA POLYTECHNICA HUNGARICA J2 - ACTA POLYTECH HUNG VL - 21 PY - 2024 IS - 7 SP - 123 EP - 145 PG - 23 SN - 1785-8860 DO - 10.12700/APH.21.7.2024.7.8 UR - https://m2.mtmt.hu/api/publication/34730296 ID - 34730296 N1 - Funding Agency and Grant Number: AVL Hungary Kft [KTI_KVIG_8-1_2021] Funding text: The research leading to this result was funded by the KTI_KVIG_8-1_2021. This work was supported by AVL Hungary Kft. LA - English DB - MTMT ER - TY - CHAP AU - Virt, Márton AU - Ádám, Nyerges TI - Artificial intelligence based simulation of different EGR modes T2 - 2023 IEEE 2nd International Conference on Cognitive Mobility (CogMob) PB - IEEE CY - Piscataway (NJ) PY - 2023 SP - 149 EP - 154 PG - 6 UR - https://m2.mtmt.hu/api/publication/34414559 ID - 34414559 LA - English DB - MTMT ER - TY - JOUR AU - Horváth, László AU - Virt, Márton AU - Zöldy, Máté TI - Density and viscosity measurements for diesel-decanol-oxymethylene ether blends JF - AMOGJ - ANGOLAN MINERAL OIL & GAS JOURNAL J2 - AMOGJ VL - 4 PY - 2023 IS - 4 SP - 1 EP - 5 PG - 5 SN - 2708-2989 UR - https://m2.mtmt.hu/api/publication/33950162 ID - 33950162 LA - English DB - MTMT ER - TY - CONF AU - Virt, Márton AU - Zöldy, Máté ED - Barabás, István TI - A tüzelőanyagból és a beszívott levegőből származó oxigénmennyiség hatásai T2 - OGÉT 2023 PB - Erdélyi Magyar Műszaki Tudományos Társaság Gépészeti Szakosztály C1 - Kolozsvár T3 - Nemzetközi Gépészeti Találkozó (OGÉT), ISSN 2068-1267 ; 31. PY - 2023 SP - 498 EP - 502 PG - 5 UR - https://m2.mtmt.hu/api/publication/33948257 ID - 33948257 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Virt, Márton AU - Zöldy, Máté TI - Artificial Neural Network Based Prediction of Engine Combustion and Emissions from a High Resolution Dataset T2 - 2022 IEEE 1st International Conference on Cognitive Mobility (CogMob) PB - IEEE CY - Piscataway (NJ) SN - 9781665476324 PY - 2022 SP - 97 EP - 104 PG - 8 DO - 10.1109/CogMob55547.2022.10118200 UR - https://m2.mtmt.hu/api/publication/33770213 ID - 33770213 AB - Development of new advanced fuels require more efficient methods to reduce costs. Artificial neural networks can be used in the fuel designing process, but the dataset creation can be expensive. This paper aims to create highly accurate multilayer perceptron type artificial neural network models to predict a medium duty commercial diesel engine’s combustion and emission properties. A high-resolution dataset with 6277 samples was used for the training, and the resulted models will be used for future researches on cost optimization. The NOx and PM emission, peak combustion temperature, peak pressure rise rate, indicated mean effective pressure, start of combustion, duration of combustion, ignition delay, brake specific fuel consumption and brake thermal efficiency was predicted from the engine speed, torque and high-pressure exhaust gas recirculation valve position. First, the cost-efficient method of high resolution dataset creation is described, then the results of the predictive models are presented. The mean squared error for the scaled dataset, and the root-mean-square error, mean average percentage error, correlation coefficient and determination coefficient for the unscaled dataset was used to evaluate the performance of the resulted models. In addition the most informative prediction error plots are also presented. It was found that the high-resolution dataset resulted really accurate models that can be used for continuing the cost optimization research. LA - English DB - MTMT ER - TY - JOUR AU - Virt, Márton AU - Zöldy, Máté TI - Folyékony hajtóanyagok fejlesztési tendenciái JF - KÖZLEKEDÉS ÉS MOBILITÁS J2 - KÖZL MOBIL VL - 1 PY - 2022 IS - 1 SP - 81 EP - 84 PG - 4 SN - 2939-7057 DO - 10.55348/KM.14 UR - https://m2.mtmt.hu/api/publication/33574074 ID - 33574074 AB - A 21. század egyik kihívása a mobilitás felé az energiaellátás biztosítása. A középpontba kerülő környezetterhelés, a vírus miatti logisztikai nehézségek és az Európában zajló háború új kihívás, már-már sokk elé állították a mobilitás energiaellátását. Cikkünkben alágazatonként áttekintjük, hogy a terjedő elektromobilitás mellett miért van szükség a folyékony hajtóanyagokra. Bemutatjuk az alternatív hajtóanyag fejlesztéseket első-, másodgenerációs és fejlett hajtóanyagok területén. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Virt, Márton AU - Ulrich, Arnold TI - Effects of Oxymethylene Ether in a Commercial Diesel Engine JF - COGNITIVE SUSTAINABILITY J2 - COGSUST VL - 1 PY - 2022 IS - 3 SP - 1 EP - 15 PG - 15 SN - 2939-5240 DO - 10.55343/CogSust.20 UR - https://m2.mtmt.hu/api/publication/33124248 ID - 33124248 LA - English DB - MTMT ER - TY - CONF AU - Virt, Márton AU - Zöldy, Máté ED - Barabás, István TI - Mesterséges neurális hálózatok motortechnikai alkalmazása T2 - XXX. Nemzetközi Gépészeti Konferencia - OGÉT 2022 PB - Erdélyi Magyar Műszaki Tudományos Társaság (EMT) C1 - Kolozsvár T3 - Nemzetközi Gépészeti Találkozó (OGÉT), ISSN 2068-1267 ; 30. PY - 2022 SP - 274 EP - 279 PG - 6 UR - https://m2.mtmt.hu/api/publication/32808876 ID - 32808876 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Virt, Márton AU - Granovitter, G. AU - Zöldy, Máté AU - Bárdos, Ádám AU - Nyerges, László Ádám TI - Multipulse ballistic injection: A novel method for improving low temperature combustion with early injection timings JF - ENERGIES J2 - ENERGIES VL - 14 PY - 2021 IS - 13 PG - 17 SN - 1996-1073 DO - 10.3390/en14133727 UR - https://m2.mtmt.hu/api/publication/32887738 ID - 32887738 N1 - Export Date: 15 June 2022 Correspondence Address: Zöldy, M.; Department of Automotive Technology, Hungary; email: mate.zoldy@gjt.bme.hu AB - Nowadays, increasingly stricter regulations on emission reduction are inducing rapid developments in combustion science. Low-temperature combustion (LTC) is an advanced combustion technology that increases an engine’s thermal efficiency and even provides low emissions of nitrogen oxides (NOx ) and particulate matter (PM). The technology often uses early direct injections to achieve sufficient mixture homogeneity. This leads to increasing wall wetting and lower combustion efficiency. This paper introduces the Multipulse ballistic injection (MBI) method to improve combustion with early injection timings. The research was carried out in a four-cylinder medium-duty diesel engine with high-pressure exhaust gas recirculation (HP-EGR). The investigation was divided into two experiments. In the first experiment, MBI was examined without EGR, and in the second, EGR was applied to study its effects. It was found that the MBI strategy decreased wall wetting and increased homogeneity and the indicated mean effective pressure (IMEP) at early injection angles. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. LA - English DB - MTMT ER -