Mengying Li

Assistant Professor at The Hong Kong Polytechnic University

Research Expertise

Electrical and Electronic Engineering
Instrumentation
Renewable Energy, Sustainability and the Environment
Computer Science Applications
Control and Systems Engineering
Energy Engineering and Power Technology
Fuel Technology
Nuclear Energy and Engineering
Fluid Flow and Transfer Processes
Mechanical Engineering
Condensed Matter Physics
Spectroscopy
Atomic and Molecular Physics, and Optics
Radiation
Geochemistry and Petrology
Physical and Theoretical Chemistry
Pollution
Building and Construction
Industrial and Manufacturing Engineering
Civil and Structural Engineering
Electrochemistry
Analytical Chemistry
Control and Optimization

About

Mengying Li is an Assistant Professor at The Hong Kong Polytechnic University. She received her Ph.D. in Mechanical Engineering from University of California, San Diego in 2018. Her research interests include predictive modeling, design optimization, and machine learning. She is also an expert in passive cooling devices.

Publications

Paint With the Sun: A Thermal-Vision Guided Robot to Harness Solar Energy for Heliography

IEEE Sensors Journal / Sep 15, 2022

Hu, L., Duan, A., Li, M., Cherubini, A., Li, L., & Navarro-Alarcon, D. (2022). Paint With the Sun: A Thermal-Vision Guided Robot to Harness Solar Energy for Heliography. IEEE Sensors Journal, 22(18), 18130–18142. https://doi.org/10.1109/jsen.2022.3195069

Estimation of high-resolution solar irradiance data using optimized semi-empirical satellite method and GOES-16 imagery

Solar Energy / Jul 01, 2022

Chen, S., Liang, Z., Guo, S., & Li, M. (2022). Estimation of high-resolution solar irradiance data using optimized semi-empirical satellite method and GOES-16 imagery. Solar Energy, 241, 404–415. https://doi.org/10.1016/j.solener.2022.06.013

On Radiation-Based Thermal Servoing: New Models, Controls, and Experiments

IEEE Transactions on Robotics / Jun 01, 2022

Hu, L., Navarro-Alarcon, D., Cherubini, A., Li, M., & Li, L. (2022). On Radiation-Based Thermal Servoing: New Models, Controls, and Experiments. IEEE Transactions on Robotics, 38(3), 1945–1958. https://doi.org/10.1109/tro.2021.3119399

Improved turbidity estimation from local meteorological data for solar resourcing and forecasting applications

Renewable Energy / Apr 01, 2022

Chen, S., & Li, M. (2022). Improved turbidity estimation from local meteorological data for solar resourcing and forecasting applications. Renewable Energy, 189, 259–272. https://doi.org/10.1016/j.renene.2022.02.107

A network of sky imagers for spatial solar irradiance assessment

Renewable Energy / Mar 01, 2022

Chu, Y., Li, M., Pedro, H. T. C., & Coimbra, C. F. M. (2022). A network of sky imagers for spatial solar irradiance assessment. Renewable Energy, 187, 1009–1019. https://doi.org/10.1016/j.renene.2022.01.032

Multi-objective bi-level quantity regulation scheduling method for electric-thermal integrated energy system considering thermal and hydraulic transient characteristics

Energy Conversion and Management / Feb 01, 2022

Guo, S., Song, G., Li, M., Zhao, X., He, Y., Kurban, A., Ji, W., & Wang, J. (2022). Multi-objective bi-level quantity regulation scheduling method for electric-thermal integrated energy system considering thermal and hydraulic transient characteristics. Energy Conversion and Management, 253, 115147. https://doi.org/10.1016/j.enconman.2021.115147

A time of transition: Stories from starting a new research program in 2020

iScience / Apr 01, 2021

Fu, N., Hou, Y., Li, K., Li, M., Tang, S., & Yu, C. (2021). A time of transition: Stories from starting a new research program in 2020. IScience, 24(4), 102308. https://doi.org/10.1016/j.isci.2021.102308

Intra-hour irradiance forecasting techniques for solar power integration: A review

iScience / Oct 01, 2021

Chu, Y., Li, M., Coimbra, C. F. M., Feng, D., & Wang, H. (2021). Intra-hour irradiance forecasting techniques for solar power integration: A review. IScience, 24(10), 103136. https://doi.org/10.1016/j.isci.2021.103136

Spectral solar irradiance on inclined surfaces: A fast Monte Carlo approach

Journal of Renewable and Sustainable Energy / Sep 01, 2020

Li, M., Liao, Z., & Coimbra, C. F. M. (2020). Spectral solar irradiance on inclined surfaces: A fast Monte Carlo approach. Journal of Renewable and Sustainable Energy, 12(5), 053705. https://doi.org/10.1063/5.0011635

SCOPE: Spectral cloud optical property estimation using real-time GOES-R longwave imagery

Journal of Renewable and Sustainable Energy / Mar 01, 2020

Larson, D. P., Li, M., & Coimbra, C. F. M. (2020). SCOPE: Spectral cloud optical property estimation using real-time GOES-R longwave imagery. Journal of Renewable and Sustainable Energy, 12(2), 026501. https://doi.org/10.1063/1.5144350

Anisotropic corrections for the downwelling radiative heat transfer flux from various types of aerosols

International Journal of Heat and Mass Transfer / Jun 01, 2019

Liao, Z., Li, M., & Coimbra, C. F. M. (2019). Anisotropic corrections for the downwelling radiative heat transfer flux from various types of aerosols. International Journal of Heat and Mass Transfer, 136, 1006–1016. https://doi.org/10.1016/j.ijheatmasstransfer.2019.03.031

Radiative cooling resource maps for the contiguous United States

Journal of Renewable and Sustainable Energy / May 01, 2019

Li, M., Peterson, H. B., & Coimbra, C. F. M. (2019). Radiative cooling resource maps for the contiguous United States. Journal of Renewable and Sustainable Energy, 11(3), 036501. https://doi.org/10.1063/1.5094510

On the effective spectral emissivity of clear skies and the radiative cooling potential of selectively designed materials

International Journal of Heat and Mass Transfer / Jun 01, 2019

Li, M., & Coimbra, C. F. M. (2019). On the effective spectral emissivity of clear skies and the radiative cooling potential of selectively designed materials. International Journal of Heat and Mass Transfer, 135, 1053–1062. https://doi.org/10.1016/j.ijheatmasstransfer.2019.02.040

EFFICIENT MODEL FOR EVALUATION OF SPECTRAL AND VERTICAL DISTRIBUTIONS OF ATMOSPHERIC LONGWAVE RADIATION

International Heat Transfer Conference 16 / Jan 01, 2018

Coimbra, C. F. M., Li, M., & Liao, Z. (2018). EFFICIENT MODEL FOR EVALUATION OF SPECTRAL AND VERTICAL DISTRIBUTIONS OF ATMOSPHERIC LONGWAVE RADIATION. International Heat Transfer Conference 16. https://doi.org/10.1615/ihtc16.rti.023041

Spectral model for clear sky atmospheric longwave radiation

Journal of Quantitative Spectroscopy and Radiative Transfer / Apr 01, 2018

Li, M., Liao, Z., & Coimbra, C. F. M. (2018). Spectral model for clear sky atmospheric longwave radiation. Journal of Quantitative Spectroscopy and Radiative Transfer, 209, 196–211. https://doi.org/10.1016/j.jqsrt.2018.01.029

On the determination of atmospheric longwave irradiance under all-sky conditions

Solar Energy / Mar 01, 2017

Li, M., Jiang, Y., & Coimbra, C. F. M. (2017). On the determination of atmospheric longwave irradiance under all-sky conditions. Solar Energy, 144, 40–48. https://doi.org/10.1016/j.solener.2017.01.006

Quantitative evaluation of the impact of cloud transmittance and cloud velocity on the accuracy of short-term DNI forecasts

Renewable Energy / Feb 01, 2016

Li, M., Chu, Y., Pedro, H. T. C., & Coimbra, C. F. M. (2016). Quantitative evaluation of the impact of cloud transmittance and cloud velocity on the accuracy of short-term DNI forecasts. Renewable Energy, 86, 1362–1371. https://doi.org/10.1016/j.renene.2015.09.058

Sun-tracking imaging system for intra-hour DNI forecasts

Renewable Energy / Oct 01, 2016

Chu, Y., Li, M., & Coimbra, C. F. M. (2016). Sun-tracking imaging system for intra-hour DNI forecasts. Renewable Energy, 96, 792–799. https://doi.org/10.1016/j.renene.2016.05.041

Analysis of Hydraulic Fracturing and Reservoir Performance in Enhanced Geothermal Systems

Journal of Energy Resources Technology / Jul 01, 2015

Li, M., & Lior, N. (2015). Analysis of Hydraulic Fracturing and Reservoir Performance in Enhanced Geothermal Systems. Journal of Energy Resources Technology, 137(4). https://doi.org/10.1115/1.4030111

Capacitive charging and desalination dynamics of a packed-bed reactor

Physical Chemistry Chemical Physics / Jan 01, 2015

Li, M., Hu, H. H., & Bau, H. H. (2015). Capacitive charging and desalination dynamics of a packed-bed reactor. Physical Chemistry Chemical Physics, 17(11), 7181–7195. https://doi.org/10.1039/c4cp05240d

Energy analysis for guiding the design of well systems of deep Enhanced Geothermal Systems

Energy / Dec 01, 2015

Li, M., & Lior, N. (2015). Energy analysis for guiding the design of well systems of deep Enhanced Geothermal Systems. Energy, 93, 1173–1188. https://doi.org/10.1016/j.energy.2015.09.113

Range of Validity of a Simplified Model for Diffuse Charge Dynamics

Electroanalysis / Jan 28, 2015

Li, M., Hu, H. H., & Bau, H. H. (2015). Range of Validity of a Simplified Model for Diffuse Charge Dynamics. Electroanalysis, 27(2), 473–484. Portico. https://doi.org/10.1002/elan.201400397

Real-time forecasting of solar irradiance ramps with smart image processing

Solar Energy / Apr 01, 2015

Chu, Y., Pedro, H. T. C., Li, M., & Coimbra, C. F. M. (2015). Real-time forecasting of solar irradiance ramps with smart image processing. Solar Energy, 114, 91–104. https://doi.org/10.1016/j.solener.2015.01.024

Real-time prediction intervals for intra-hour DNI forecasts

Renewable Energy / Nov 01, 2015

Chu, Y., Li, M., Pedro, H. T. C., & Coimbra, C. F. M. (2015). Real-time prediction intervals for intra-hour DNI forecasts. Renewable Energy, 83, 234–244. https://doi.org/10.1016/j.renene.2015.04.022

Comparative Analysis of Power Plant Options for Enhanced Geothermal Systems (EGS)

Energies / Dec 17, 2014

Li, M., & Lior, N. (2014). Comparative Analysis of Power Plant Options for Enhanced Geothermal Systems (EGS). Energies, 7(12), 8427–8445. https://doi.org/10.3390/en7128427

Education

University of California, San Diego

Ph.D., Mechanical Engineering / July, 2018

San Diego, California, United States of America

Experience

The Hong Kong Polytechnic University

Assistant Professor / October, 2020Present

Links & Social Media

Join Mengying on NotedSource!
Join Now

At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.

For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.

For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.

Expert Institutions
NotedSource has experts from Stanford University
Expert institutions using NotedSource include Oxfort University
Experts from McGill have used NotedSource to share their expertise
University of Chicago experts have used NotedSource
MIT researchers have used NotedSource
Proudly trusted by
Microsoft uses NotedSource for academic partnerships
Johnson & Johnson academic research projects on NotedSource
ProQuest (Clarivate) uses NotedSource as their industry academia platform
Slamom consulting engages academics for research collaboration on NotedSource
Omnicom and OMG find academics on notedsource
Unilever research project have used NotedSource to engage academic experts