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Professor Zhibin Yu
Professor Zhibin Yu
Chair of Energy Engineering, University of Liverpool
Verified email at liverpool.ac.uk - Homepage
Title
Cited by
Cited by
Year
Travelling-wave thermoacoustic electricity generator using an ultra-compliant alternator for utilization of low-grade thermal energy
Z Yu, AJ Jaworski, S Backhaus
Applied Energy 99, 135-145, 2012
2022012
Bioinspired heat exchangers based on triply periodic minimal surfaces for supercritical CO2 cycles
W Li, G Yu, Z Yu
Applied Thermal Engineering 179, 115686, 2020
1372020
A regenerative supercritical-subcritical dual-loop organic Rankine cycle system for energy recovery from the waste heat of internal combustion engines
E Wang, Z Yu, H Zhang, F Yang
Applied Energy 190, 574-590, 2017
1222017
A dynamic organic Rankine cycle using a zeotropic mixture as the working fluid with composition tuning to match changing ambient conditions
P Collings, Z Yu, E Wang
Applied energy 171, 581-591, 2016
1202016
Theoretical analysis of a regenerative supercritical carbon dioxide Brayton cycle/organic Rankine cycle dual loop for waste heat recovery of a diesel/natural gas dual-fuel engine
Y Liang, X Bian, W Qian, M Pan, Z Ban, Z Yu
Energy Conversion and Management 197, 111845, 2019
882019
Multi-physics coupling in thermoacoustic devices: A review
G Chen, L Tang, B Mace, Z Yu
Renewable and Sustainable Energy Reviews 146, 111170, 2021
842021
Parametric optimization and heat transfer analysis of a dual loop ORC (organic Rankine cycle) system for CNG engine waste heat recovery
F Yang, H Zhang, Z Yu, E Wang, F Meng, H Liu, J Wang
Energy 118, 753-775, 2017
832017
Selection and experimental evaluation of low-cost porous materials for regenerator applications in thermoacoustic engines
AS Abduljalil, Z Yu, AJ Jaworski
Materials & Design 32 (1), 217-228, 2011
782011
A two-stage traveling-wave thermoacoustic electric generator with loudspeakers as alternators
H Kang, P Cheng, Z Yu, H Zheng
Applied Energy 137, 9-17, 2015
732015
Impact of acoustic impedance and flow resistance on the power output capacity of the regenerators in travelling-wave thermoacoustic engines
Z Yu, AJ Jaworski
Energy conversion and management 51 (2), 350-359, 2010
702010
A numerical analysis of a composition-adjustable Kalina cycle power plant for power generation from low-temperature geothermal sources
E Wang, Z Yu
Applied Energy 180, 834-848, 2016
692016
PIV studies of coherent structures generated at the end of a stack of parallel plates in a standing wave acoustic field
X Mao, Z Yu, AJ Jaworski, D Marx
Experiments in fluids 45 (5), 833-846, 2008
622008
Application of laser-based instrumentation for measurement of time-resolved temperature and velocity fields in the thermoacoustic system
L Shi, Z Yu, AJ Jaworski
International Journal of Thermal Sciences 49 (9), 1688-1701, 2010
612010
Entrance effects in the channels of the parallel plate stack in oscillatory flow conditions
AJ Jaworski, X Mao, X Mao, Z Yu
Experimental Thermal and Fluid Science 33 (3), 495-502, 2009
582009
Investigation of a refrigeration system based on combined supercritical CO2 power and transcritical CO2 refrigeration cycles by waste heat recovery of engine
Y Liang, Z Sun, M Dong, J Lu, Z Yu
International Journal of Refrigeration 118, 470-482, 2020
572020
A low-cost electricity generator for rural areas using a travelling-wave looped-tube thermoacoustic engine
Z Yu, AJ Jaworski, S Backhaus
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of …, 2010
572010
District heating challenges for the UK
MA Millar, NM Burnside, Z Yu
Energies 12 (2), 310, 2019
562019
Vortex shedding flow patterns and their transitions in oscillatory flows past parallel-plate thermoacoustic stacks
L Shi, Z Yu, AJ Jaworski
Experimental Thermal and Fluid Science 34 (7), 954-965, 2010
552010
A method of characterising performance of audio loudspeakers for linear alternator applications in low-cost thermoacoustic electricity generators
Z Yu, P Saechan, AJ Jaworski
Applied acoustics 72 (5), 260-267, 2011
522011
Sensitivity analysis to reduce duplicated features in ANN training for district heat demand prediction
S Chen, Y Ren, D Friedrich, Z Yu, J Yu
Energy and AI 2, 100028, 2020
512020
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Articles 1–20