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Alessandro  Schönborn
Alessandro Schönborn
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Cited by
Cited by
Year
The influence of molecular structure of fatty acid monoalkyl esters on diesel combustion
A Schönborn, N Ladommatos, J Williams, R Allan, J Rogerson
Combustion and flame 156 (7), 1396-1412, 2009
2752009
Development of a hydraulic control mechanism for cyclic pitch marine current turbines
A Schönborn, M Chantzidakis
Renewable Energy 32 (4), 662-679, 2007
932007
Effect of the Molecular Structure of Individual Fatty Acid Alcohol Esters (Biodiesel) on the Formation of Nox and Particulate Matter in the Diesel Combustion Process
A Schönborn, N Ladommatos, R Allan, J Williams, J Rogerson
SAE International Journal of Fuels and Lubricants 1 (1), 849-872, 2009
652009
Experimental investigation of the stability limits of premixed syngas-air flames at two moderate swirl numbers
P Sayad, A Schönborn, J Klingmann
Combustion and Flame 164, 270-282, 2016
402016
Ignition control of homogeneous-charge compression ignition (HCCI) combustion through adaptation of the fuel molecular structure by reaction with ozone
A Schönborn, P Hellier, AE Aliev, N Ladommatos
Fuel 89 (11), 3178-3184, 2010
362010
Effect of biofuels on nanoparticle emissions from spark-and compression-ignited single-cylinder engines with same exhaust displacement volume
J Lee, R Patel, A Schonborn, N Ladommatos, C Bae
Energy & Fuels 23 (9), 4363-4369, 2009
332009
OH*-chemiluminescence during autoignition of hydrogen with air in a pressurised turbulent flow reactor
A Schönborn, P Sayad, AA Konnov, J Klingmann
International Journal of Hydrogen Energy 39 (23), 12166-12181, 2014
282014
Visualization of different flashback mechanisms for H2/CH4 mixtures in a variable-swirl burner
P Sayad, A Schönborn, M Li, J Klingmann
Journal of Engineering for Gas Turbines and Power 137 (3), 2015
222015
Experimental investigations of the lean blowout limit of different syngas mixtures in an atmospheric, premixed, variable-swirl burner
P Sayad, A Schonborn, J Klingmann
Energy & fuels 27 (5), 2783-2793, 2013
222013
Influence of precessing vortex core on flame flashback in swirling hydrogen flames
A Schönborn, P Sayad, J Klingmann
International Journal of Hydrogen Energy 39 (35), 20233-20241, 2014
202014
Energy‐related clean and green framework for shipbuilding community towards zero‐emissions: A strategic analysis from concept to case study
S Vakili, AI Ölçer, A Schönborn, F Ballini, AT Hoang
International Journal of Energy Research 46 (14), 20624-20649, 2022
192022
An experimental and modelling study of dual fuel aqueous ammonia and diesel combustion in a single cylinder compression ignition engine
J Frost, A Tall, AM Sheriff, A Schönborn, P Hellier
International Journal of Hydrogen Energy 46 (71), 35495-35510, 2021
192021
Visualisation of propane autoignition in a turbulent flow reactor using OH* chemiluminescence imaging
A Schönborn, P Sayad, AA Konnov, J Klingmann
Combustion and Flame 160 (6), 1033-1043, 2013
192013
Effects on diesel combustion of the molecular structure of potential synthetic bio-fuel molecules
A Schönborn, N Ladommatos, J Williams, R Allan, J Rogerson
SAE Technical Paper, 2007
182007
Wind and solar assisted ship propulsion optimisation and its application to a bulk carrier
MN Nyanya, HB Vu, A Schönborn, AI Ölçer
Sustainable Energy Technologies and Assessments 47, 101397, 2021
162021
Aqueous solution of ammonia as marine fuel
A Schönborn
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of …, 2021
152021
Auto-ignition control using an additive with adaptable chemical structure. Part I: Development of a kinetic model for 1, 3-cyclohexadiene and 1, 3, 5-hexatriene combustion
A Schönborn, MD Le, R Fournet, PA Glaude, V Warth, B Sirjean
Combustion and Flame 205, 466-483, 2019
112019
Autoignition of dimethyl ether and air in an optical flow-reactor
A Schönborn, P Sayad, AA Konnov, J Klingmann
Energy & Fuels 28 (6), 4130-4138, 2014
112014
Data fusion and machine learning for ship fuel efficiency modeling: Part II–Voyage report data, AIS data and meteorological data
Y Du, Y Chen, X Li, A Schönborn, Z Sun
Communications in Transportation Research 2, 100073, 2022
82022
Data fusion and machine learning for ship fuel efficiency modeling: Part I–Voyage report data and meteorological data
X Li, Y Du, Y Chen, S Nguyen, W Zhang, A Schönborn, Z Sun
Communications in Transportation Research 2, 100074, 2022
72022
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