Summary
Dr Daniel Ainalis is a Research Associate in the Centre for Transport Studies and works within the Transport & Environment Laboratory and the Transport Systems & Logistics Laboratory.
Daniel's current research is focused on evaluating the economic and environmental benefits of Kinetic Energy Recovery Systems (KERS) for heavy goods vehicles as part of an InnovateUK funded project. The project involves a 12-month study combining real world operational data, controlled fuel consumption and emissions testing, and numerical modelling of the heavy goods vehicles and KERS.
Daniel has expertise in vehicle dynamics, vehicle telematics acquisition and analysis, signal processing and data analysis, mechanical vibrations, ground vibrations, and the measurement, simulation and analysis of road roughness and distribution vibrations (road, rail, etc.).
Previously, Daniel was a Postdoctoral Research Fellow at the University of Mons in Belgium, where he led a project on the simulation and analysis of ground wave propagation produced by explosive blasting in mines and quarries. He has also been involved in a range of consulting projects throughout the years across Europe and Australia.
Publications
Journals
Deshpande P, de Saxe C, Ainalis D, et al., 2023, A breakeven cost analysis framework for electric road systems, Transportation Research Part D-transport and Environment, Vol:122, ISSN:1361-9209
Ainalis D, Thorne C, Cebon D, 2023, Technoeconomic comparison of an electric road system and hydrogen for decarbonising the UK's long-haul road freight, Research in Transportation Business and Management, Vol:48, ISSN:2210-5395
Stettler MEJ, Woo M, Ainalis D, et al., 2023, Review of Well-to-Wheel lifecycle emissions of liquefied natural gas heavy goods vehicles, Applied Energy, Vol:333, ISSN:0306-2619
Madhusudhanan AK, Na X, Ainalis D, et al., 2023, Engine Fuel Consumption Modelling Using Prediction Error Identification and On-Road Data, Ieee Transactions on Intelligent Vehicles, Vol:8, ISSN:2379-8858, Pages:1392-1402
Rouillard V, Lamb MJ, Lepine J, et al., 2021, The case for reviewing laboratory-based road transport simulations for packaging optimisation, Packaging Technology and Science, Vol:34, ISSN:0894-3214, Pages:339-351