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Category Archives: 2022

A computationally efficient approach to resolving vehicle-induced turbulence for near-road air quality

  2022

Hashad, K. N.; Yang, Y.; Isakov, V.; Zhang, K. M. A computationally efficient approach to resolving vehicle-induced turbulence for near-road air quality, Journal of Engineering for Sustainable Buildings and Cities, 2022, 3(3): 031001

Unintended consequences of smart thermostats in the transition to electrified heating

  2022

Lee, Z. E. and Zhang, K. Max. Unintended consequences of smart thermostats in the transition to electrified heating, Applied Energy, 2022, 119384.  *The article from this link for free until August 5, 2022, https://authors.elsevier.com/a/1fFxR15eif4SZB.

Genetic algorithm selection of the weather research and forecasting model physics to support wind and solar energy

  2022

Sward, J. A.; Ault, T. R.; Zhang, K. Max. Genetic algorithm selection of the weather research and forecasting model physics to support wind and solar energy. Energy. 2022, 124367.  *The article from this link for free until July 22, 2022, https://authors.elsevier.com/a/1fAvh1H%7Ec%7EHsKT

Characterizing spatial variations of city-wide elevated PM10 and PM2.5 concentrations using taxi- based mobile monitoring

  2022

Yu, TingYua;Xiang, Sheng; Li, Rongbin; Zhang, Shaojun; Zhang, K. M. Si, Shuchun; Wu, Xiaomeng; Wu, Ye. Characterizing spatial variations of city-wide elevated PM10 and PM2.5 concentrations using taxi-based mobile monitoring. Science of The Total Environment, 2022

Ambient sampling of real-world residential wood combustion plumes

  2022

Alexander F. Li, K. Max Zhang, George Allen, Shaojun Zhang, Bo Yang, Jiajun Gu, Khaled Hashad, Jeffery Sward, Dirk Felton, Oliver Rattigan. Ambient sampling of real-world residential wood combustion plumes. Journal of the Air & Waste Management Association, 2022

High-resolution mapping of regional traffic emissions using land-use machine learning models

  2022

Wu, X., Yang, D., Wu, R., Gu, J., Wen, Y., Zhang, S., Wu, R., Wang, R., Xu, H., Zhang, K. M., Wu, Y., and Hao, J. High-resolution mapping of regional traffic emissions using land-use machine learning models, Atmos. Chem. Phys., 22, 1939–1950, 2022.

Quantifying demand flexibility of building energy systems under uncertainty

  2022

Ali Amadeh, Zachary E. Lee, K. Max Zhang, Quantifying demand flexibility of building energy systems under uncertainty, Energy, 123291, 2022,

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  • Latest Publications

    • A hybrid battery thermal management system for electric vehicle operations in cold climates
    • Resolving the effect of roadside vegetation barriers as a near-road air pollution mitigation strategy
    • Communication about sensors and communication through sensors: localizing the Internet of Things in rural communities
  • News

    Tompkins explores avenues for cutting greenhouse gas emissions by 80%
    Apr. 6, 2016 - Michael Smith

    The report was several years in the making, starting with some projects done by Cornell students in 2011 through 2013. In 2014, an official steering committee was appointed, led by Cornell professor Max Zhang and including local government and economic leaders, energy and sustainability experts and engineers.

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    Contact Prof. Max Zhang
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