Dr Xiaolei Liu

  • Affiliate (School of Engineering)

Research interests

Biography

Dr.-Ing. Xiaolei Liu (PhD/MSc/PGCert/BEng/CEng/MIMechE/FHEA/P2P) joined the University of Glasgow in December 2018 after holding the post of Research Fellow in Mechanical Engineering at Cranfield University. His academic profile was previously developed at the Faculty of Energy and Economic Sciences, Technische Universität Clausthal in Germany. His expertise has been deepened in a broad area of Mechanical Engineering, mainly in the fields of Energy & Power Engineering, with a focus on renewable energies & fluid mechanics through advanced experiments and high-effective programming/modelling. 

In the last a few years, his computational work has been extended to data science/mining based on machine learning and deep learning established by various intelligent frameworks (such as Scikit-Learn, TensorFlow, and Keras). Recently, his research is concentrated more on investigations of wide-ranging engineering challenges in faults detection/prediction through digital signals, wind power forecasting, and multiphase flow regime identification.

To be involved in the energy sector outside of academia, he registers with the Engineering Council (UK) as a Chartered Engineer (CEng) and owns the membership in the Institution of Mechanical Engineers (IMechE). Furthermore, he is a Fellow in the Higher Education Academy (FHEA) and a recognized teacher for teaching and learning in higher education. Also, he is a licensed PRINCE2 Practioner in Project Management. He is the associate editor of Energy Systems (Springer-Verlag GmbH Germany, part of Springer Nature) and have been a regular reviewer of several leading journals in the energy sector, such as Renewable Energy, Energy and Applied Energy. He has also been invited to organize a few international conferences in the renewable energy sector.

 

Research Interest

  • Improving Wind Turbine Operation and Maintenance (O&M)
  • Multiphase Flow Measurements
  • Energy Interface/Hybrid Energy Solutions
  • Faults Detection/Prediction through Digital Signals
  • Method and Application of Machine Learning
  • Offshore Wind Power Forecasting

Publications

List by: Type | Date

Jump to: 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013
Number of items: 39.

2022

Zhang, W., Lin, Z. and Liu, X. (2022) Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and Deep-learning-based Long Short-Term Memory (LSTM). Renewable Energy, 185, pp. 611-628. (doi: 10.1016/j.renene.2021.12.100)

Li, T., Liu, X. , Lin, Z. and Morrison, R. (2022) Ensemble offshore Wind Turbine Power Curve modelling – an integration of Isolation Forest, fast Radial Basis Function Neural Network, and metaheuristic algorithm. Energy, 239(Part D), 122340. (doi: 10.1016/j.energy.2021.122340)

Morrison, R., Liu, X. and Lin, Z. (2022) Anomaly detection in wind turbine SCADA data for power curve cleaning. Renewable Energy, 184, pp. 473-486. (doi: 10.1016/j.renene.2021.11.118)

2021

Alqahtani, B., Paul, M. C. , Yang, J. and Liu, X. (2021) Optimisation of a Grid-connected Hybrid Renewable System at Peak Load. 13th International Conference on Applied Energy, Bangkok, Thailand, 29 Nov - 02 Dec 2021.

Trizoglou, P., Liu, X. and Lin, Z. (2021) Fault detection by an ensemble framework of Extreme Gradient Boosting (XGBoost) in the operation of offshore wind turbines. Renewable Energy, 179, pp. 945-962. (doi: 10.1016/j.renene.2021.07.085)

Liu, X. and Lin, Z. (2021) Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory. Energy, 227, 120455. (doi: 10.1016/j.energy.2021.120455)

Liu, X. , Lin, Z. and Feng, Z. (2021) Short-term offshore wind speed forecast by seasonal ARIMA - a comparison against GRU and LSTM. Energy, 227, 120492. (doi: 10.1016/j.energy.2021.120492)

Feng, Z.-m., Sun, Y., Liu, X. , Cui, W. and Duan, W. (2021) Design and application of new impeller-type wax-proof device based on speed-increasing wax-proof mechanism. Journal of Petroleum Science and Engineering, 200, 108392. (doi: 10.1016/j.petrol.2021.108392)

Lin, Z., Liu, X. and Lotfian, S. (2021) Impacts of water depth increase on offshore floating wind turbine dynamics. Ocean Engineering, 224, 108697. (doi: 10.1016/j.oceaneng.2021.108697)

Kisvari, A., Lin, Z. and Liu, X. (2021) Wind power forecasting – a data-driven method along with gated recurrent neural network. Renewable Energy, 163, pp. 1895-1909. (doi: 10.1016/j.renene.2020.10.119)

2020

Alqahtani, B., Paul, M. C. , Yang, J. and Liu, X. (2020) Investigation of the Influences of Hydraulic Loss and Evaporation Rate in a PV-pumped Storage Hybrid System. 12th International Conference on Applied Energy (ICAE2020), Bangkok, Thailand, 01-10 Dec 2020.

Liu, X. and Lin, Z. (2020) Short-term Offshore Wind Speed Forecast by Seasonal ARIMA. ETP 9th Annual Conference, 02-03 Nov 2020.

Lin, Z., Liu, X. , Lao, L. and Liu, H. (2020) Prediction of two-phase flow patterns in upward inclined pipes via deep learning. Energy, 210, 118541. (doi: 10.1016/j.energy.2020.118541)

Tan, C., Feng, Z.-m., Liu, X. , Fan, J., Cui, W., Sun, R. and Ma, Q. (2020) Review of variable speed drive technology in beam pumping units for energy-saving. Energy Reports, 6, pp. 2676-2688. (doi: 10.1016/j.egyr.2020.09.018)

Hanifi, S., Liu, X. , Lin, Z. and Lotfian, S. (2020) A critical review of wind power forecasting methods - past, present and future. Energies, 13(15), 3764. (doi: 10.3390/en13153764)

Lin, Z., Liu, X. and Feng, Z. (2020) Systematic investigation of integrating small wind turbines into power supply for hydrocarbon production. Energies, 13(12), 3243. (doi: 10.3390/en13123243)

Lin, Z. and Liu, X. (2020) Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network. Energy, 201, 117693. (doi: 10.1016/j.energy.2020.117693)

Lin, Z., Liu, X. and Collu, M. (2020) Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks. International Journal of Electrical Power and Energy Systems, 118, 105835. (doi: 10.1016/j.ijepes.2020.105835)

Liu, X. , Lao, L. and Falcone, G. (2020) A comprehensive assessment of correlations for two-phase flow through Venturi tubes. Journal of Natural Gas Science and Engineering, 78, 103323. (doi: 10.1016/j.jngse.2020.103323)

Lin, Z. and Liu, X. (2020) Assessment of wind turbine aero-hydro-servo-elastic modelling on the effects of mooring line tension via deep learning. Energies, 13(9), 2264. (doi: 10.3390/en13092264)

Feng, Z., Ma, Q., Liu, X. , Cui, W., Tan, C. and Liu, Y. (2020) Dynamic coupling modelling and application case analysis of high-slip motors and pumping units. PLoS ONE, 15(1), e0227827. (doi: 10.1371/journal.pone.0227827) (PMID:31999730) (PMCID:PMC6992195)

2019

Lin, Z., Liu, X. and Lao, L. (2019) Forecasting of Two-Phase Flow Patterns in Upward Inclined Pipes via Deep Learning. 17th Multiphase Flow Conference and Short Course, Dresden, Germany, 11-15 Nov 2019.

Lin, Z. and Liu, X. (2019) Identification of Flow Patterns in Upward Inclined Two-Phase Flows by Artificial Neural Network. In: 11th International Conference on Applied Energy (ICAE2019), Västerås, Sweden, 12-15 Aug 2019, 0626.

Lin, Z. and Liu, X. (2019) Systematic Assessment of Using Small Wind Turbines to Power Remote Oil Extraction in China. In: 11th International Conference on Applied Energy (ICAE2019), Västerås, Sweden, 12-15 Aug 2019, 0122.

Lin, Z. and Liu, X. (2019) Identifying the Major Contributing Factors for Fowt Mooring Line Tension Using Artificial Neural Network. In: 11th International Conference on Applied Energy (ICAE 2019), Västerås, Sweden, 12-15 Aug 2019, 0199.

Lin, Z. and Liu, X. (2019) Sustainable Development of Decommisioned FPSO as a Floating Solar Plant – Case Study of the Effects of Tilt Angle on Energy Efficiency. In: 11th International Conference on Applied Energy (ICAE2019), Västerås, Sweden, 12-15 Aug 2019, 0468.

2018

Falcone, G. , Liu, X. , Okech, R. R., Seyidov, F. and Teodoriu, C. (2018) Assessment of deep geothermal energy exploitation methods: The need for novel single-well solutions. Energy, 160, pp. 54-63. (doi: 10.1016/j.energy.2018.06.144)

Feng, Z.-M., Tan, J., Liu, X. and Wei, C. (2018) Swept blade influence on aerodynamic performance of steam turbine nozzle cascades. Sadhana, 43(4), 56. (doi: 10.1007/s12046-018-0825-y)

Liu, X. , Falcone, G. and Alimonti, C. (2018) A systematic study of harnessing low-temperature geothermal energy from oil and gas reservoirs. Energy, 142, pp. 346-355. (doi: 10.1016/j.energy.2017.10.058)

2017

Liu, X. , Falcone, G. and Teodoriu, C. (2017) Liquid loading in gas wells: from core-scale transient measurements to coupled field-scale simulations. Journal of Petroleum Science and Engineering, 157, pp. 1056-1066. (doi: 10.1016/j.petrol.2017.08.025)

Feng, Z.-M., Tan, J.-j., Liu, X. and Fang, X. (2017) Selection method modelling and matching rule for rated power of prime motor used by beam pumping units. Journal of Petroleum Science and Engineering, 153, pp. 197-202. (doi: 10.1016/j.petrol.2017.03.048)

2016

Liu, X. , Falcone, G. and Teodoriu, C. (2016) Liquid loading in gas wells: Experimental investigation of back pressure effects on the near-wellbore reservoir. Journal of Natural Gas Science and Engineering, 36, pp. 434-441. (doi: 10.1016/j.jngse.2016.10.064)

Liu, X. (2016) Experimental and Numerical Investigation of Transient Gas and Gas-Liquid Flows in Integrated Reservoir/Wellbore Systems Under Liquid Loading Conditions. Papierflieger Verlag GmbH. ISBN 9783869484969

2015

Okech, R. R., Liu, X. , Falcone, G. and Teodoriu, C. (2015) Unconventional Completion Design for Deep Geothermal Wells. In: SPE Latin American and Caribbean Petroleum Engineering Conference, Quito, Ecuador, 18-20 Nov 2015, (doi: 10.2118/177228-MS)

2014

Liu, X. and Falcone, G. (2014) Integrated Wellbore/Reservoir Transient Modelling of Liquid Loading in Gas Wells. In: DGMK/ÖGEW-Frühjahrstagung, Fachbereich Aufsuchung und Gewinnung, Celle, Germany, 24-25 April 2014,

Alimonti, C., Falcone, G. and Liu, X. (2014) Potential for Harnessing the Heat from a Mature High-Pressure-High- Temperature Oil Field in Italy. In: SPE Annual Technical Conference and Exhibition, ATCE 2014. Proceedings, Amsterdam, Netherlands, 27-29 Oct 2014, pp. 3763-3775. ISBN 9781634398879 (doi: 10.2118/170857-MS)

Liu, X. , Limpasurat, A., Falcone, G. and Teodoriu, C. (2014) Investigation of Back Pressure Effects on Transient Gas Flow Through Porous Media via Laboratory Experiments and Numerical Simulation. In: ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering, San Francisco, CA., 8-13 June 2014, V005T11A030. ISBN 9780791845455 (doi: 10.1115/OMAE2014-24648)

2013

Breede, K., Dzebisashvili, K., Liu, X. and Falcone, G. (2013) A systematic review of enhanced (or engineered) geothermal systems: past, present and future. Geothermal Energy, 1(1), 4. (doi: 10.1186/2195-9706-1-4)

Liu, X. , Falcone, G. and Alimonti, C. (2013) Harnessing the Heat from a Mature Oil Field. In: European Geothermal Congress 2013, Pisa, Italy, 3-7 June 2013,

This list was generated on Fri Sep 22 13:12:02 2023 BST.
Jump to: Articles | Books | Conference or Workshop Item | Conference Proceedings
Number of items: 39.

Articles

Zhang, W., Lin, Z. and Liu, X. (2022) Short-term offshore wind power forecasting - A hybrid model based on Discrete Wavelet Transform (DWT), Seasonal Autoregressive Integrated Moving Average (SARIMA), and Deep-learning-based Long Short-Term Memory (LSTM). Renewable Energy, 185, pp. 611-628. (doi: 10.1016/j.renene.2021.12.100)

Li, T., Liu, X. , Lin, Z. and Morrison, R. (2022) Ensemble offshore Wind Turbine Power Curve modelling – an integration of Isolation Forest, fast Radial Basis Function Neural Network, and metaheuristic algorithm. Energy, 239(Part D), 122340. (doi: 10.1016/j.energy.2021.122340)

Morrison, R., Liu, X. and Lin, Z. (2022) Anomaly detection in wind turbine SCADA data for power curve cleaning. Renewable Energy, 184, pp. 473-486. (doi: 10.1016/j.renene.2021.11.118)

Trizoglou, P., Liu, X. and Lin, Z. (2021) Fault detection by an ensemble framework of Extreme Gradient Boosting (XGBoost) in the operation of offshore wind turbines. Renewable Energy, 179, pp. 945-962. (doi: 10.1016/j.renene.2021.07.085)

Liu, X. and Lin, Z. (2021) Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory. Energy, 227, 120455. (doi: 10.1016/j.energy.2021.120455)

Liu, X. , Lin, Z. and Feng, Z. (2021) Short-term offshore wind speed forecast by seasonal ARIMA - a comparison against GRU and LSTM. Energy, 227, 120492. (doi: 10.1016/j.energy.2021.120492)

Feng, Z.-m., Sun, Y., Liu, X. , Cui, W. and Duan, W. (2021) Design and application of new impeller-type wax-proof device based on speed-increasing wax-proof mechanism. Journal of Petroleum Science and Engineering, 200, 108392. (doi: 10.1016/j.petrol.2021.108392)

Lin, Z., Liu, X. and Lotfian, S. (2021) Impacts of water depth increase on offshore floating wind turbine dynamics. Ocean Engineering, 224, 108697. (doi: 10.1016/j.oceaneng.2021.108697)

Kisvari, A., Lin, Z. and Liu, X. (2021) Wind power forecasting – a data-driven method along with gated recurrent neural network. Renewable Energy, 163, pp. 1895-1909. (doi: 10.1016/j.renene.2020.10.119)

Lin, Z., Liu, X. , Lao, L. and Liu, H. (2020) Prediction of two-phase flow patterns in upward inclined pipes via deep learning. Energy, 210, 118541. (doi: 10.1016/j.energy.2020.118541)

Tan, C., Feng, Z.-m., Liu, X. , Fan, J., Cui, W., Sun, R. and Ma, Q. (2020) Review of variable speed drive technology in beam pumping units for energy-saving. Energy Reports, 6, pp. 2676-2688. (doi: 10.1016/j.egyr.2020.09.018)

Hanifi, S., Liu, X. , Lin, Z. and Lotfian, S. (2020) A critical review of wind power forecasting methods - past, present and future. Energies, 13(15), 3764. (doi: 10.3390/en13153764)

Lin, Z., Liu, X. and Feng, Z. (2020) Systematic investigation of integrating small wind turbines into power supply for hydrocarbon production. Energies, 13(12), 3243. (doi: 10.3390/en13123243)

Lin, Z. and Liu, X. (2020) Wind power forecasting of an offshore wind turbine based on high-frequency SCADA data and deep learning neural network. Energy, 201, 117693. (doi: 10.1016/j.energy.2020.117693)

Lin, Z., Liu, X. and Collu, M. (2020) Wind power prediction based on high-frequency SCADA data along with isolation forest and deep learning neural networks. International Journal of Electrical Power and Energy Systems, 118, 105835. (doi: 10.1016/j.ijepes.2020.105835)

Liu, X. , Lao, L. and Falcone, G. (2020) A comprehensive assessment of correlations for two-phase flow through Venturi tubes. Journal of Natural Gas Science and Engineering, 78, 103323. (doi: 10.1016/j.jngse.2020.103323)

Lin, Z. and Liu, X. (2020) Assessment of wind turbine aero-hydro-servo-elastic modelling on the effects of mooring line tension via deep learning. Energies, 13(9), 2264. (doi: 10.3390/en13092264)

Feng, Z., Ma, Q., Liu, X. , Cui, W., Tan, C. and Liu, Y. (2020) Dynamic coupling modelling and application case analysis of high-slip motors and pumping units. PLoS ONE, 15(1), e0227827. (doi: 10.1371/journal.pone.0227827) (PMID:31999730) (PMCID:PMC6992195)

Falcone, G. , Liu, X. , Okech, R. R., Seyidov, F. and Teodoriu, C. (2018) Assessment of deep geothermal energy exploitation methods: The need for novel single-well solutions. Energy, 160, pp. 54-63. (doi: 10.1016/j.energy.2018.06.144)

Feng, Z.-M., Tan, J., Liu, X. and Wei, C. (2018) Swept blade influence on aerodynamic performance of steam turbine nozzle cascades. Sadhana, 43(4), 56. (doi: 10.1007/s12046-018-0825-y)

Liu, X. , Falcone, G. and Alimonti, C. (2018) A systematic study of harnessing low-temperature geothermal energy from oil and gas reservoirs. Energy, 142, pp. 346-355. (doi: 10.1016/j.energy.2017.10.058)

Liu, X. , Falcone, G. and Teodoriu, C. (2017) Liquid loading in gas wells: from core-scale transient measurements to coupled field-scale simulations. Journal of Petroleum Science and Engineering, 157, pp. 1056-1066. (doi: 10.1016/j.petrol.2017.08.025)

Feng, Z.-M., Tan, J.-j., Liu, X. and Fang, X. (2017) Selection method modelling and matching rule for rated power of prime motor used by beam pumping units. Journal of Petroleum Science and Engineering, 153, pp. 197-202. (doi: 10.1016/j.petrol.2017.03.048)

Liu, X. , Falcone, G. and Teodoriu, C. (2016) Liquid loading in gas wells: Experimental investigation of back pressure effects on the near-wellbore reservoir. Journal of Natural Gas Science and Engineering, 36, pp. 434-441. (doi: 10.1016/j.jngse.2016.10.064)

Breede, K., Dzebisashvili, K., Liu, X. and Falcone, G. (2013) A systematic review of enhanced (or engineered) geothermal systems: past, present and future. Geothermal Energy, 1(1), 4. (doi: 10.1186/2195-9706-1-4)

Books

Liu, X. (2016) Experimental and Numerical Investigation of Transient Gas and Gas-Liquid Flows in Integrated Reservoir/Wellbore Systems Under Liquid Loading Conditions. Papierflieger Verlag GmbH. ISBN 9783869484969

Conference or Workshop Item

Alqahtani, B., Paul, M. C. , Yang, J. and Liu, X. (2021) Optimisation of a Grid-connected Hybrid Renewable System at Peak Load. 13th International Conference on Applied Energy, Bangkok, Thailand, 29 Nov - 02 Dec 2021.

Alqahtani, B., Paul, M. C. , Yang, J. and Liu, X. (2020) Investigation of the Influences of Hydraulic Loss and Evaporation Rate in a PV-pumped Storage Hybrid System. 12th International Conference on Applied Energy (ICAE2020), Bangkok, Thailand, 01-10 Dec 2020.

Liu, X. and Lin, Z. (2020) Short-term Offshore Wind Speed Forecast by Seasonal ARIMA. ETP 9th Annual Conference, 02-03 Nov 2020.

Lin, Z., Liu, X. and Lao, L. (2019) Forecasting of Two-Phase Flow Patterns in Upward Inclined Pipes via Deep Learning. 17th Multiphase Flow Conference and Short Course, Dresden, Germany, 11-15 Nov 2019.

Conference Proceedings

Lin, Z. and Liu, X. (2019) Identification of Flow Patterns in Upward Inclined Two-Phase Flows by Artificial Neural Network. In: 11th International Conference on Applied Energy (ICAE2019), Västerås, Sweden, 12-15 Aug 2019, 0626.

Lin, Z. and Liu, X. (2019) Systematic Assessment of Using Small Wind Turbines to Power Remote Oil Extraction in China. In: 11th International Conference on Applied Energy (ICAE2019), Västerås, Sweden, 12-15 Aug 2019, 0122.

Lin, Z. and Liu, X. (2019) Identifying the Major Contributing Factors for Fowt Mooring Line Tension Using Artificial Neural Network. In: 11th International Conference on Applied Energy (ICAE 2019), Västerås, Sweden, 12-15 Aug 2019, 0199.

Lin, Z. and Liu, X. (2019) Sustainable Development of Decommisioned FPSO as a Floating Solar Plant – Case Study of the Effects of Tilt Angle on Energy Efficiency. In: 11th International Conference on Applied Energy (ICAE2019), Västerås, Sweden, 12-15 Aug 2019, 0468.

Okech, R. R., Liu, X. , Falcone, G. and Teodoriu, C. (2015) Unconventional Completion Design for Deep Geothermal Wells. In: SPE Latin American and Caribbean Petroleum Engineering Conference, Quito, Ecuador, 18-20 Nov 2015, (doi: 10.2118/177228-MS)

Liu, X. and Falcone, G. (2014) Integrated Wellbore/Reservoir Transient Modelling of Liquid Loading in Gas Wells. In: DGMK/ÖGEW-Frühjahrstagung, Fachbereich Aufsuchung und Gewinnung, Celle, Germany, 24-25 April 2014,

Alimonti, C., Falcone, G. and Liu, X. (2014) Potential for Harnessing the Heat from a Mature High-Pressure-High- Temperature Oil Field in Italy. In: SPE Annual Technical Conference and Exhibition, ATCE 2014. Proceedings, Amsterdam, Netherlands, 27-29 Oct 2014, pp. 3763-3775. ISBN 9781634398879 (doi: 10.2118/170857-MS)

Liu, X. , Limpasurat, A., Falcone, G. and Teodoriu, C. (2014) Investigation of Back Pressure Effects on Transient Gas Flow Through Porous Media via Laboratory Experiments and Numerical Simulation. In: ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering, San Francisco, CA., 8-13 June 2014, V005T11A030. ISBN 9780791845455 (doi: 10.1115/OMAE2014-24648)

Liu, X. , Falcone, G. and Alimonti, C. (2013) Harnessing the Heat from a Mature Oil Field. In: European Geothermal Congress 2013, Pisa, Italy, 3-7 June 2013,

This list was generated on Fri Sep 22 13:12:02 2023 BST.

Grants

 

  • Multiphase Flow Reference Metrology (MultiFlowMet II) project; sponsored by the European Commission via European Association of National Metrology Institutes (EURAMET); Role: Co-I. 

 

Supervision

Current PhD students: 

 

  • Mr. Shahram Hanifi (first supervisor)
  • Mr. Lingte Chen (first supervisor)
  • Mr. Tenghui Li (first supervisor)
  • Mr. Wanquan Zhang (first supervisor)
  • Mr. Rory Morrison (first supervisor)
  • Mr. Gaddafi Almannouny (second supervisor)
  • Mr Bader Alqahtani (second supervisor)
  • Mr. Yushen Miao (second supervisor)

 

If you are ambitious in academic and interested to pursue a PhD degree, you are more than welcome to send a one-page research proposal and an academic Curriculum Vitae (CV) to me. The College of Science & Engineering offers various Student Funding Opportunities. Also, the division of Systems, Power and Energy provides a number of PhD Openings. International exchange students and visiting scholars are also appreciated. If you are applying for the China Scholarship Council 2019, you could find out here how it works within the University of Glasgow.

Teaching

  •  Fluid Mechanics 3 ENG3030 (Academic Session: 2019-20)

 

  • Simulation of Engineering Systems 3 ENG3036 (Academic Session: 2019-20)

 

Additional information

Service

  • Chartered Engineer (CEng) registered in Engineering Council
  • Member of the Institution of Mechanical Engineers (MIMechE)
  • Session Co-chair (renewable energy, O&M sector) for the 38th OMAE-International Conference on Ocean, Offshore and Arctic Engineering
  • Fellow of the Higher Education Academy (FHEA)
  • Member of AXELOS 

  • Reviewer of “Royal Society Open Science (Royal Society Publishing)”

  • Reviewer of “Applied Energy”

  • Reviewer of “Energy”
  • Reviewer of “Renewable Energy”
  • Reviewer of “Energy Reports”
  • Reviewer of “International Conference on Ocean, Offshore & Arctic Engineering (OMAE)”
  • Reviewer of “Ocean Engineering”
  • Reviewer of “Journal of Natural Gas Science and Engineering”

Xiaolei Liu